Binary.com Academy

[META] The Rules and their Entirety

These are the rules, everything that pertains to everyone who wishes to make any sort of interaction within this sub. Per the last META, clarity has been given in regards to bulk-type sales. Since EVERYTHING is here for you all to read, we expect there to be less issues with rule infractions and general confusion as to what’s acceptable, and what isn’t. We devote our time and energy for this sub to continuously never reach a balance amongst the users.
Our goal is to ensure the subreddit itself sticks around, along with trying to keep the userbase from being taken advantage of. Our rules make sense to some, and none to others but they serve a purpose. Regardless of how you feel, these are the rules and it is expected they be followed. At the time this post becomes visible, all of what’s listed below will be enforced as a hard rule, no more wrist slaps or babysitting.

Reporting Rules

Here are the Subreddit Reportable violations. Violating these rules will get you a ban.

Reddit Rules:

Reddit Rules regarding Firearms
No firearm sales. No Ammunition sales. No primers or gunpowder, as they are considered explosives.
No selling or distributing of files related to 3D printed firearms.
If you have no idea what this is referring to, please educate yourself before posting anything related to 3D printing files by reading up on them at the following websites:
Firearms: A Firearm is considered the serialized receiver or assembly of a working firearm. If you are unsure if an item is prohibited, contact the mods prior to posting it.
80% lowers and completion kits are not included in this prohibition as they are not firearms yet.
Bump-Stocks are considered Machine Guns by the ATF and are therefore prohibited from trading on the sub.
Binary Triggers, Cranks, and Rubber bands and other such items are not (currently) affected by this prohibition (unless Admins change their minds later).
Explosives & Hazmat: Gunpowder and Live Primers are considered as explosives and Hazardous Materials and are therefore prohibited from trade.
Ammunition: Reddit Admins use the ATF definition of ammunition which is as follows:
The term “Ammunition” means ammunition or cartridge cases, primers, bullets, or propellant powder designed for use in any firearm. The term shall not include (a) any shotgun shot or pellet not designed for use as the single, complete projectile load for one shotgun hull or casing, nor (b) any unloaded, non-metallic shotgun hull or casing not having a primer. 27 § 478.11
Brass and projectiles posted here will result in an immediate suspension by Reddit Admins, so if we find it first we will remove it.
Any violation of these above rules will result in a ban by us, or a site-wide suspension by Admins and their Anti-Evil goosesteppers.
Anyone attempting to skirt Reddit Rules will be given a 7 day ban on the first offense, a 30 day ban on the second offense, and a permaban thereafter due to the fact that Admins will use the bad behavior of a few to justify shutting down the sub for good.

Posting Rules:

This sub is for private sales only. Vendors must post in Gundeals or GunAccessoryVendors
Clarification on Vendor Rule: Don't include links to your business website, we are not a referral system, do your business on here. Please see the Reddit Self Promotion page for details on that. Reddit admins don't like you cutting in on their ad revenue. We do not support VENDORS, I.E. if you buy another company's products in bulk (such as Magpul), and just act as a distributoreseller, your business is not welcome here. That is /GunDeals territory. If you have an FFL, you cannot do business on here because are considered a firearm business, and cannot solicit any transactions involving firearms.
The limit on bulk sales/bulk items is 10, that means 10 of the same individual item can be posted for sale or trade. If you have 10 Geissele triggers, but only 4 are flat and 6 are curved, that will still count as 10, as they're the same branded trigger and likely purchased at the same time. If there are 3 OD Green items and 7 FDE that are otherwise the same item, that still count as 10. If you post 10 items of the same in one day, 10 the next, and 10 the following day after that, that will be viewed as vendor activity. To keep such things from happening, it will be limited to one sale of this type, per user, per week. The ONLY EXCEPTION to this rule is old magazines, as it is common for users to purge off part of their mag collection.
Please follow these rules when creating a listing: Prefix your title with the transaction type:
[WTS] - Want To Sell
[WTB] - Want To Buy
[WTT] - Want To Trade
[GIFT] - Gun It Forward Tactically
Suffix your title with your state (e.g. (GA) or (NY)). This will help incentivize local sales and could impact shipping costs. Also, it could affect legality of some items such as magazines and those accessories deemed as "assault weapon" parts by certain states.
Postings should all follow this general format as an example: "[WTS] M16A2 Carry Handle - $60 (VA)". If you do not list the price in the title, ensure that it is listed in the comments. Include a Dollar sign ($) or the bot will remove it.
Postings without a price value may be removed after a period of time. WTB posts require valid offering prices, and will be removed if they do not have one.
Postings with prices such as "$1 for the bot" or "$1,000,000 for the bot" that are intended to bypass our rules and automated removal system instead of posting a valid price, will be removed and a temporary ban will be issued immediately.
Postings without pictures will be removed immediately, unless these posts are WTB.
Do not post an item for sale if you do not have it in your possession at the time of posting. This includes an item you may have purchased elsewhere, you decided you don’t want it and it’s on its way to you, but it has yet to arrive. If you don’t have it, don’t post it.
If you post stock images of an item in your WTS/WTT post, that will result in a temp ban if it is your first time doing so, possibly permanent if done on multiple occasions. If you post images of someone else’s photos for “your” item, this will be viewed as scamming tactics and you will receive a permaban, immediately.
If you drop your price, use the Price Drop/NSFW Tag. If your items sell, use the Complete/Spoiler tag. Please don't delete the price of an item if it sells, because that can be used by people in the future to gauge what similar items may be worth.
If your post does not receive the traction you're wanting, refrain from reposting within a 24 hour time frame. You may repost after the 24 hours has passed, and a price drop is not required, but encouraged. Deleting your post and reposting afterwards is viewed as trying to evade this rule. It will be met with removal and a temp ban, possibly longer if done more than once.
Want to Buy/Sell/Trade (WTB/WTS/WTT): These transactions all require a price value for the item. If a listing does not include a price it may be removed and re-listed once it is in compliance. Giving an unrealistic price to avoid this rule will be treated as a rule violation. Examples of this are "WTB scope, $1" or "WTT Upper, $9999". Additionally, you must list what you are looking for in [WTT] posts. Fielding offers, testing the waters or any other post attempt to try and skirt this rule will result in the post being removed.
Gifting items forward: (GIFT) If you have small odds and ends that aren't worth much and the cost of shipping is prohibitive, you are allowed to offer items for free. The gifter is allowed to request compensation for shipping only, and can request a flair upgrade in the feedback thread for the transaction. If the receiver pays for shipping, they can also request a flair upgrade, but if they get the item for free, no flair upgrades for the recipient. Flair upgrades of this type are limited in order to avoid abuse, i.e. giving away 20 A2 grips in order to get +20 rep is not authorized.
Accounts with 5 or less flair (you must have at least 6) on GAFS are NOT eligible to participate in giveaways, due to users from other subs coming to win stuff without ever participating in GAFS, or GAFS users making multiple new burner accounts to enter giveaways.
New accounts (under 30 days of age) are not able to create WTS or WTT ads, nor should they offer things for sale in the comments of other peoples' posts. To prevent scams, new users can only post Want to Buy threads. If you want to attempt to bypass this account age requirement, you must be able to provide moderators evidence of a good trading history on another reputable online forum, such as Calgunner or AR15.com where you can show a longstanding history of positive trade feedback. If this is completed, moderators may provide an exception and allow WTS/WTT posts to be submitted by new users, with a warning caveat to any potential buyers to avoid using risky payment methods until the seller has had a chance to develop a positive trading reputation.
Any new accounts that utilize this subreddit that create names that are similar to a mods (i.e. sxbbzxro, sxbzxxro, subzxro, etc.) may be removed from participating here due to the possibility of confusing/having the ability to manipulate users into thinking they are in fact a mod.
Price Checks (PC): Because PC listings were abused by many to bypass the price rule, fish for "best offers", and otherwise snipe sales, they have been disabled after overwhelming support from the community.
We have a feedback system in place. The current month's flair thread is On the Sidebar, and is usually Stickied at the top as well. Check there for the specific directions. DO NOT create a thread for a sale that has already happened, or has happened in a different sub/website/forum etc. The Flair system is only for feedback for exchanges in /GAFS. Any attempts to game the flair system will be seen as an attempt to establish trust for scam purposes, and will be banned accordingly.
Law Enforcement: Be aware, we do not offer exemptions to any individuals who may have LE credentials. Due to the difficulty of verifying employment, possible job changes, leaving/termination from said job, etc. we treat all users as civilians. Any local and federal laws apply to all individuals who utilize this subreddit. Read up and stay up-to-date on these laws and regulations, you will be expected to know and abide by them. Failure to do so may lead to a ban.
External Sales:
NO LINKS to your external sales on TacSwap, eBay, Facebook, Armslist, Gunbroker, etc. Sales in multiple locations are allowed, but don't just provide a link to sale elsewhere. Make your listing here. The only caveat to these rules is to show a price point elsewhere if someone here has an item that is grossly overpriced, or is looking for an item.
This sub is not a "highest bid gets the item" format. There are also no lotteries for items i.e. 10 chances at $10 each to purchase a $75 flashlight with a random number generated to pick the winner.
High Value or Counterfeit Items:
To deter the sale of counterfeit products, any item that is serialized must have a picture of the serial. As firearms are not allowed for sale here, this shouldn't present a privacy issue to anyone. This policy covers items such as EOTechs, Aimpoints, Trijicons, etc. Along with this, if you're selling anything that's "new-in-box", you must unseal it and show the contents of said box/package.
No Stolen Property. If you are selling a knockoff item, indicate that fact. Items such as bipods, BUIS, flashlights, holsters, and scopes/optics are known to have some gray market options. KAC USMC Stamped Rear Sights are not stolen property and are allowed on here, unless another member can provide proof from a DoD source that they are in fact considered stolen government property.
All GAFS logos, icons, banners and visual content related to this subreddit, belong to the moderator team. Do not create/manufacture/produce items with this content onto itself. It is forbidden to profit off the GAFS name, unless discussed with the modteam in advance and given permission.

Shipping/Insurance Rules:

The official policy is for the mods to not get involved with issues regarding lost packages, provided that the parties can prove it was actually lost. If you feel like insurance should be added to your transaction, please take care to add that before finalizing terms.

General Rules:

WARNING: Be aware of all state and federal laws that apply to you and any parties involved in a firearms-related transaction. You are responsible for knowing and following the law. This Subreddit and its staff are in no way responsible for informing you of the law, but will make every effort to do so. As a buyer, be familiar with your state/county/city rules. As a seller, do not knowingly sell prohibited items to areas that have laws against your items, such as certain capacity magazines. Any person, buyer, or seller, who knowingly solicits a trade that is illegal for them may be subject to a ban.
Respect all federal and local laws for any transaction you take part in. This includes federal drug laws. Drug activity tied to your account tied to any other issues is sufficient grounds for banning. Here is the ATF Letter that explains why any suspected drug activity, including marijuana, is grounds for immediate banning from the sub. Illegal gun activity such as unregistered SBRs, AOWs, destructive devices, DIAS or lightning links in your reddit profile (in or outside the sub) can be reason for banning. Do not spread bad information regarding laws.
Any item you post for sale is expected to be in your current possession. If this is not the case, you must specify this in the listing. Circumstances such as selling for a friend is allowed, but pictures of your items are required to be shared to the public. You do not need an imgur.com account in order to host pictures of your item on imgur, so that is not an excuse.
If you are scammed, inform the mods as soon as you can so that we may investigate and ban the offending parties if necessary.
Do not post the personal information of any Reddit users. The exception to this is if someone uses PayPal to scam a member, this information may be sent to the mods to prevent others from also being scammed. Doxxing people will not be tolerated.
Do not antagonize posters about their price, opinion, or sexual orientation (etc). This translates to be a general rule of "no dickish behavior". If you disagree with someone's price, and can post evidence that their item has a current or recent better price elsewhere such as a link to a vendor, that information is authorized to be posted. That is not antagonism. People may comment on prices and offer counter-offers, as long as behavior is not insulting or unprofessional. If you feel that someone is being unprofessional regarding pricing, report it and the mods will evaluate the case. They are the determining factor whether behavior warrants muting, temporary banning, or permanent banning based on severity of incident, past behavior, and other factors. If your behavior does not contribute towards the positive image of firearms ownership, your participation in this subreddit may not be welcome.
Soliciting any type of transaction regarding prohibited items may result in a ban. This includes Price Checks of firearms and other prohibited items, as this can be seen as an attempt to garner PM offers for prohibited items. Remember that there is no expectation of privacy from Reddit Admins, and that they have shown in the past that they have access to private message histories.
As a general guideline, if a buyer wants to use PayPal Goods and Services (G&S) rather than Friends and family (F&F), it is expected that they will absorb the ~3% fee for the increased protections. However, PayPal F&F, Zelle, and Venmo and similar payment methods are discouraged here due to a lack of protections.
All rules and guidelines are subject to change. The moderators have the final say in all issues in relation to the rules and how to enforce them.
submitted by SxbZxro to GunAccessoriesForSale [link] [comments]

[ANN][ANDROID MINING][AIRDROP] NewEnglandcoin: Scrypt RandomSpike

New England
New England 6 States Songs: https://www.reddit.com/newengland/comments/er8wxd/new_england_6_states_songs/
NewEnglandcoin
Symbol: NENG
NewEnglandcoin is a clone of Bitcoin using scrypt as a proof-of-work algorithm with enhanced features to protect against 51% attack and decentralize on mining to allow diversified mining rigs across CPUs, GPUs, ASICs and Android phones.
Mining Algorithm: Scrypt with RandomSpike. RandomSpike is 3rd generation of Dynamic Difficulty (DynDiff) algorithm on top of scrypt.
1 minute block targets base difficulty reset: every 1440 blocks subsidy halves in 2.1m blocks (~ 2 to 4 years) 84,000,000,000 total maximum NENG 20000 NENG per block Pre-mine: 1% - reserved for dev fund ICO: None RPCPort: 6376 Port: 6377
NewEnglandcoin has dogecoin like supply at 84 billion maximum NENG. This huge supply insures that NENG is suitable for retail transactions and daily use. The inflation schedule of NengEnglandcoin is actually identical to that of Litecoin. Bitcoin and Litecoin are already proven to be great long term store of value. The Litecoin-like NENG inflation schedule will make NewEnglandcoin ideal for long term investment appreciation as the supply is limited and capped at a fixed number
Bitcoin Fork - Suitable for Home Hobbyists
NewEnglandcoin core wallet continues to maintain version tag of "Satoshi v0.8.7.5" because NewEnglandcoin is very much an exact clone of bitcoin plus some mining feature changes with DynDiff algorithm. NewEnglandcoin is very suitable as lite version of bitcoin for educational purpose on desktop mining, full node running and bitcoin programming using bitcoin-json APIs.
The NewEnglandcoin (NENG) mining algorithm original upgrade ideas were mainly designed for decentralization of mining rigs on scrypt, which is same algo as litecoin/dogecoin. The way it is going now is that NENG is very suitable for bitcoin/litecoin/dogecoin hobbyists who can not , will not spend huge money to run noisy ASIC/GPU mining equipments, but still want to mine NENG at home with quiet simple CPU/GPU or with a cheap ASIC like FutureBit Moonlander 2 USB or Apollo pod on solo mining setup to obtain very decent profitable results. NENG allows bitcoin litecoin hobbyists to experience full node running, solo mining, CPU/GPU/ASIC for a fun experience at home at cheap cost without breaking bank on equipment or electricity.
MIT Free Course - 23 lectures about Bitcoin, Blockchain and Finance (Fall,2018)
https://www.youtube.com/playlist?list=PLUl4u3cNGP63UUkfL0onkxF6MYgVa04Fn
CPU Minable Coin Because of dynamic difficulty algorithm on top of scrypt, NewEnglandcoin is CPU Minable. Users can easily set up full node for mining at Home PC or Mac using our dedicated cheetah software.
Research on the first forked 50 blocks on v1.2.0 core confirmed that ASIC/GPU miners mined 66% of 50 blocks, CPU miners mined the remaining 34%.
NENG v1.4.0 release enabled CPU mining inside android phones.
Youtube Video Tutorial
How to CPU Mine NewEnglandcoin (NENG) in Windows 10 Part 1 https://www.youtube.com/watch?v=sdOoPvAjzlE How to CPU Mine NewEnglandcoin (NENG) in Windows 10 Part 2 https://www.youtube.com/watch?v=nHnRJvJRzZg
How to CPU Mine NewEnglandcoin (NENG) in macOS https://www.youtube.com/watch?v=Zj7NLMeNSOQ
Decentralization and Community Driven NewEnglandcoin is a decentralized coin just like bitcoin. There is no boss on NewEnglandcoin. Nobody nor the dev owns NENG.
We know a coin is worth nothing if there is no backing from community. Therefore, we as dev do not intend to make decision on this coin solely by ourselves. It is our expectation that NewEnglandcoin community will make majority of decisions on direction of this coin from now on. We as dev merely view our-self as coin creater and technical support of this coin while providing NENG a permanent home at ShorelineCrypto Exchange.
Twitter Airdrop
Follow NENG twitter and receive 100,000 NENG on Twitter Airdrop to up to 1000 winners
Graphic Redesign Bounty
Top one award: 90.9 million NENG Top 10 Winners: 500,000 NENG / person Event Timing: March 25, 2019 - Present Event Address: NewEnglandcoin DISCORD at: https://discord.gg/UPeBwgs
Please complete above Twitter Bounty requirement first. Then follow Below Steps to qualify for the Bounty: (1) Required: submit your own designed NENG logo picture in gif, png jpg or any other common graphic file format into DISCORD "bounty-submission" board (2) Optional: submit a second graphic for logo or any other marketing purposes into "bounty-submission" board. (3) Complete below form.
Please limit your submission to no more than two total. Delete any wrongly submitted or undesired graphics in the board. Contact DISCORD u/honglu69#5911 or u/krypton#6139 if you have any issues.
Twitter Airdrop/Graphic Redesign bounty sign up: https://goo.gl/forms/L0vcwmVi8c76cR7m1
Milestones
Roadmap
NENG v1.4.0 Android Mining, randomSpike Evaluation https://github.com/ShorelineCrypto/NewEnglandCoin/releases/download/NENG_2020_Q3_report/NENG_2020_Q3_report.pdf
RandomSpike - NENG core v1.3.0 Hardfork Upgrade Proposal https://github.com/ShorelineCrypto/NewEnglandCoin/releases/download/2020Q1_Report/Scrypt_RandomSpike_NENGv1.3.0_Hardfork_Proposal.pdf
NENG Security, Decentralization & Valuation
https://github.com/ShorelineCrypto/NewEnglandCoin/releases/download/2019Q2_report/NENG_Security_Decentralization_Value.pdf
Whitepaper v1.0 https://github.com/ShorelineCrypto/NewEnglandCoin/releases/download/whitepaper_v1.0/NENG_WhitePaper.pdf
DISCORD https://discord.gg/UPeBwgs
Explorer
http://www.findblocks.com/exploreNENG http://86.100.49.209/exploreNENG http://nengexplorer.mooo.com:3001/
Step by step guide on how to setup an explorer: https://github.com/ShorelineCrypto/nengexplorer
Github https://github.com/ShorelineCrypto/NewEnglandCoin
Wallet
Android with UserLand App (arm64/armhf), Chromebook (x64/arm64/armhf): https://github.com/ShorelineCrypto/NewEnglandCoin/releases/tag/v1.4.0.5
Linux Wallet (Ubuntu/Linux Mint, Debian/MX Linux, Arch/Manjaro, Fedora, openSUSE): https://github.com/ShorelineCrypto/NewEnglandCoin/releases/tag/v1.4.0.3
MacOS Wallet (10.11 El Capitan or higher): https://github.com/ShorelineCrypto/NewEnglandCoin/releases/tag/v1.4.0.2
Android with GNUroot on 32 bits old Phones (alpha release) wallet: https://github.com/ShorelineCrypto/NewEnglandCoin/releases/tag/v1.4.0
Windows wallet: https://github.com/ShorelineCrypto/NewEnglandCoin/releases/tag/v1.3.0.1
addnode ip address for the wallet to sync faster, frequently updated conf file: https://github.com/ShorelineCrypto/cheetah_cpumineblob/mastenewenglandcoin.conf-example
How to Sync Full Node Desktop Wallet https://www.reddit.com/NewEnglandCoin/comments/er6f0q/how_to_sync_full_node_desktop_wallet/
TWITTER https://twitter.com/newenglandcoin
REDDIT https://www.reddit.com/NewEnglandCoin/
Cheetah CPU Miner Software https://github.com/ShorelineCrypto/cheetah_cpuminer
Solo Mining with GPU or ASIC https://bitcointalk.org/index.php?topic=5027091.msg52187727#msg52187727
How to Run Two Full Node in Same Desktop PC https://bitcointalk.org/index.php?topic=5027091.msg53581449#msg53581449
ASIC/GPU Mining Pools Warning to Big ASIC Miners Due to DynDiff Algo on top of Scrypt, solo mining is recommended for ASIC/GPU miners. Further more, even for mining pools, small mining pool will generate better performance than big NENG mining pool because of new algo v1.2.x post hard fork.
The set up configuration of NENG for scrypt pool mining is same as a typical normal scrypt coin. In other word, DynDiff on Scrypt algo is backward compatible with Scrypt algo. Because ASIC/GPU miners rely on CPU miners for smooth blockchain movement, checkout bottom of "Latest News" section for A WARNING to All ASIC miners before you decide to dump big ASIC hash rate into NENG mining.
(1) Original DynDiff Warning: https://bitcointalk.org/index.php?topic=5027091.msg48324708#msg48324708 (2) New Warning on RandomSpike Spike difficulty (244k) introduced in RandomSpike served as roadblocks to instant mining and provide security against 51% attack risk. However, this spike difficulty like a roadblock that makes big ASIC mining less profitable. In case of spike block to be mined, the spike difficulty immediately serve as base difficulty, which will block GPU/ASIC miners effectively and leave CPU cheetah solo miners dominating mining almost 100% until next base difficulty reset.
FindBlocks http://findblocks.com/
CRpool http://crpool.xyz/
Cminors' Pool http://newenglandcoin.cminors-pool.com/
SPOOL https://spools.online/
Exchange
📷
https://shorelinecrypto.com/
Features: anonymous sign up and trading. No restriction or limit on deposit or withdraw.
The trading pairs available: NewEnglandcoin (NENG) / Dogecoin (DOGE)
Trading commission: A round trip trading will incur 0.10% trading fees in average. Fees are paid only on buyer side. buy fee: 0.2% / sell fee: 0% Deposit fees: free for all coins Withdraw fees: ZERO per withdraw. Mining fees are appointed by each coin blockchain. To cover the blockchain mining fees, there is minimum balance per coin per account: * Dogecoin 2 DOGE * NewEnglandcoin 1 NENG
Latest News Aug 30, 2020 - NENG v1.4.0.5 Released for Android/Chromebook Upgrade with armhf, better hardware support https://bitcointalk.org/index.php?topic=5027091.msg55098029#msg55098029
Aug 11, 2020 - NENG v1.4.0.4 Released for Android arm64 Upgrade / Chromebook Support https://bitcointalk.org/index.php?topic=5027091.msg54977437#msg54977437
Jul 30, 2020 - NENG v1.4.0.3 Released for Linux Wallet Upgrade with 8 Distros https://bitcointalk.org/index.php?topic=5027091.msg54898540#msg54898540
Jul 21, 2020 - NENG v1.4.0.2 Released for MacOS Upgrade with Catalina https://bitcointalk.org/index.php?topic=5027091.msg54839522#msg54839522
Jul 19, 2020 - NENG v1.4.0.1 Released for MacOS Wallet Upgrade https://bitcointalk.org/index.php?topic=5027091.msg54830333#msg54830333
Jul 15, 2020 - NENG v1.4.0 Released for Android Mining, Ubuntu 20.04 support https://bitcointalk.org/index.php?topic=5027091.msg54803639#msg54803639
Jul 11, 2020 - NENG v1.4.0 Android Mining, randomSpike Evaluation https://bitcointalk.org/index.php?topic=5027091.msg54777222#msg54777222
Jun 27, 2020 - Pre-Announce: NENG v1.4.0 Proposal for Mobile Miner Upgrade, Android Mining Start in July 2020 https://bitcointalk.org/index.php?topic=5027091.msg54694233#msg54694233
Jun 19, 2020 - Best Practice for Futurebit Moonlander2 USB ASIC on solo mining mode https://bitcointalk.org/index.php?topic=5027091.msg54645726#msg54645726
Mar 15, 2020 - Scrypt RandomSpike - NENG v1.3.0.1 Released for better wallet syncing https://bitcointalk.org/index.php?topic=5027091.msg54030923#msg54030923
Feb 23, 2020 - Scrypt RandomSpike - NENG Core v1.3.0 Relased, Hardfork on Mar 1 https://bitcointalk.org/index.php?topic=5027091.msg53900926#msg53900926
Feb 1, 2020 - Scrypt RandomSpike Proposal Published- NENG 1.3.0 Hardfork https://bitcointalk.org/index.php?topic=5027091.msg53735458#msg53735458
Jan 15, 2020 - NewEnglandcoin Dev Team Expanded with New Kickoff https://bitcointalk.org/index.php?topic=5027091.msg53617358#msg53617358
Jan 12, 2020 - Explanation of Base Diff Reset and Effect of Supply https://www.reddit.com/NewEnglandCoin/comments/envmo1/explanation_of_base_diff_reset_and_effect_of/
Dec 19, 2019 - Shoreline_tradingbot version 1.0 is released https://bitcointalk.org/index.php?topic=5121953.msg53391184#msg53391184
Sept 1, 2019 - NewEnglandcoin (NENG) is Selected as Shoreline Tradingbot First Supported Coin https://bitcointalk.org/index.php?topic=5027091.msg52331201#msg52331201
Aug 15, 2019 - Mining Update on Effect of Base Difficulty Reset, GPU vs ASIC https://bitcointalk.org/index.php?topic=5027091.msg52169572#msg52169572
Jul 7, 2019 - CPU Mining on macOS Mojave is supported under latest Cheetah_Cpuminer Release https://bitcointalk.org/index.php?topic=5027091.msg51745839#msg51745839
Jun 1, 2019 - NENG Fiat project is stopped by Square, Inc https://bitcointalk.org/index.php?topic=5027091.msg51312291#msg51312291
Apr 21, 2019 - NENG Fiat Project is Launched by ShorelineCrypto https://bitcointalk.org/index.php?topic=5027091.msg50714764#msg50714764
Apr 7, 2019 - Announcement of Fiat Project for all U.S. Residents & Mobile Miner Project Initiation https://bitcointalk.org/index.php?topic=5027091.msg50506585#msg50506585
Apr 1, 2019 - Disclosure on Large Buying on NENG at ShorelineCrypto Exchange https://bitcointalk.org/index.php?topic=5027091.msg50417196#msg50417196
Mar 27, 2019 - Disclosure on Large Buying on NENG at ShorelineCrypto Exchange https://bitcointalk.org/index.php?topic=5027091.msg50332097#msg50332097
Mar 17, 2019 - Disclosure on Large Buying on NENG at ShorelineCrypto Exchange https://bitcointalk.org/index.php?topic=5027091.msg50208194#msg50208194
Feb 26, 2019 - Community Project - NewEnglandcoin Graphic Redesign Bounty Initiated https://bitcointalk.org/index.php?topic=5027091.msg49931305#msg49931305
Feb 22, 2019 - Dev Policy on Checkpoints on NewEnglandcoin https://bitcointalk.org/index.php?topic=5027091.msg49875242#msg49875242
Feb 20, 2019 - NewEnglandCoin v1.2.1 Released to Secure the Hard Kork https://bitcointalk.org/index.php?topic=5027091.msg49831059#msg49831059
Feb 11, 2019 - NewEnglandCoin v1.2.0 Released, Anti-51% Attack, Anti-instant Mining after Hard Fork https://bitcointalk.org/index.php?topic=5027091.msg49685389#msg49685389
Jan 13, 2019 - Cheetah_CpuMiner added support for CPU Mining on Mac https://bitcointalk.org/index.php?topic=5027091.msg49218760#msg49218760
Jan 12, 2019 - NENG Core v1.1.2 Released to support MacOS OSX Wallet https://bitcointalk.org/index.php?topic=5027091.msg49202088#msg49202088
Jan 2, 2019 - Cheetah_Cpuminer v1.1.0 is released for both Linux and Windows https://bitcointalk.org/index.php?topic=5027091.msg49004345#msg49004345
Dec 31, 2018 - Technical Whitepaper is Released https://bitcointalk.org/index.php?topic=5027091.msg48990334#msg48990334
Dec 28, 2018 - Cheetah_Cpuminer v1.0.0 is released for Linux https://bitcointalk.org/index.php?topic=5027091.msg48935135#msg48935135
Update on Dec 14, 2018 - NENG Blockchain Stuck Issue https://bitcointalk.org/index.php?topic=5027091.msg48668375#msg48668375
Nov 27, 2018 - Exclusive for PC CPU Miners - How to Steal a Block from ASIC Miners https://bitcointalk.org/index.php?topic=5027091.msg48258465#msg48258465
Nov 28, 2018 - How to CPU Mine a NENG block with window/linux PC https://bitcointalk.org/index.php?topic=5027091.msg48298311#msg48298311
Nov 29, 2018 - A Warning to ASIC Miners https://bitcointalk.org/index.php?topic=5027091.msg48324708#msg48324708
Disclosure: Dev Team Came from ShorelineCrypto, a US based Informatics Service Business offering Fee for service for Coin Creation, Coin Exchange Listing, Blockchain Consulting, etc.
submitted by honglu69 to NewEnglandCoin [link] [comments]

Step-by-Step Guide for Adding a Stack, Expanding Control Lines, and Building an Assembler

After the positive response to my first tutorial on expanding the RAM, I thought I'd continue the fun by expanding the capabilities of Ben's 8-bit CPU even further. That said, you'll need to have done the work in the previous post to be able to do this. You can get a sense for what we'll do in this Imgur gallery.
In this tutorial, we'll balance software and hardware improvements to make this a pretty capable machine:

Parts List

To only update the hardware, you'll need:
If you want to update the toolchain, you'll need:
  1. Arduino Mega 2560 (Amazon) to create the programmer.
  2. Ribbon Jumper Cables (Amazon) to connect the Arduino to the breadboard.
  3. TL866 II Plus EEPROM Programmer (Amazon) to program the ROM.
Bonus Clock Improvement: One additional thing I did is replace the 74LS04 inverter in Ben's clock circuit with a 74LS14 inverting Schmitt trigger (datasheet, Jameco). The pinouts are identical! Just drop it in, wire the existing lines, and then run the clock output through it twice (since it's inverting) to get a squeaky clean clock signal. Useful if you want to go even faster with the CPU.

Step 1: Program with an Arduino and Assembler (Image 1, Image 2)

There's a certain delight in the physical programming of a computer with switches. This is how Bill Gates and Paul Allen famously programmed the Altair 8800 and started Microsoft. But at some point, the hardware becomes limited by how effectively you can input the software. After upgrading the RAM, I quickly felt constrained by how long it took to program everything.
You can continue to program the computer physically if you want and even after upgrading that option is still available, so this step is optional. There's probably many ways to approach the programming, but this way felt simple and in the spirit of the build. We'll use an Arduino Mega 2560, like the one in Ben's 6502 build, to program the RAM. We'll start with a homemade assembler then switch to something more robust.
Preparing the Physical Interface
The first thing to do is prepare the CPU to be programmed by the Arduino. We already did the hard work on this in the RAM upgrade tutorial by using the bus to write to the RAM and disconnecting the control ROM while in program mode. Now we just need to route the appropriate lines to a convenient spot on the board to plug the Arduino into.
  1. This is optional, but I rewired all the DIP switches to have ground on one side, rather than alternating sides like Ben's build. This just makes it easier to route wires.
  2. Wire the 8 address lines from the DIP switch, connecting the side opposite to ground (the one going to the chips) to a convenient point on the board. I put them on the far left, next to the address LEDs and above the write button circuit.
  3. Wire the 8 data lines from the DIP switch, connecting the side opposite to ground (the one going to the chips) directly below the address lines. Make sure they're separated by the gutter so they're not connected.
  4. Wire a line from the write button to your input area. You want to connect the side of the button that's not connected to ground (the one going to the chip).
So now you have one convenient spot with 8 address lines, 8 data lines, and a write line. If you want to get fancy, you can wire them into some kind of connector, but I found that ribbon jumper cables work nicely and keep things tidy.
The way we'll program the RAM is to enter program mode and set all the DIP switches to the high position (e.g., 11111111). Since the switches are upside-down, this means they'll all be disconnected and not driving to ground. The address and write lines will simply be floating and the data lines will be weakly pulled up by 1k resistors. Either way, the Arduino can now drive the signals going into the chips using its outputs.
Creating the Arduino Programmer
Now that we can interface with an Arduino, we need to write some software. If you follow Ben's 6502 video, you'll have all the knowledge you need to get this working. If you want some hints and code, see below (source code):
  1. Create arrays for your data and address lines. For example: const char ADDRESS_LINES[] = {39, 41, 43, 45, 47, 49, 51, 53};. Create your write line with #define RAM_WRITE 3.
  2. Create functions to enable and disable your address and data lines. You want to enable them before writing. Make sure to disable them afterward so that you can still manually program using DIP switches without disconnecting the Arduino. The code looks like this (just change INPUT to OUTPUT accordingly): for(int n = 0; n < 8; n += 1) { pinMode(ADDRESS_LINES[n], OUTPUT); }
  3. Create a function to write to an address. It'll look like void writeData(byte writeAddress, byte writeData) and basically use two loops, one for address and one for data, followed by toggling the write.
  4. Create a char array that contains your program and data. You can use #define to create opcodes like #define LDA 0x01.
  5. In your main function, loop through the program array and send it through writeData.
With this setup, you can now load multi-line programs in a fraction of a second! This can really come in handy with debugging by stress testing your CPU with software. Make sure to test your setup with existing programs you know run reliably. Now that you have your basic setup working, you can add 8 additional lines to read the bus and expand the program to let you read memory locations or even monitor the running of your CPU.
Making an Assembler
The above will serve us well but it's missing a key feature: labels. Labels are invaluable in assembly because they're so versatile. Jumps, subroutines, variables all use labels. The problem is that labels require parsing. Parsing is a fun project on the road to a compiler but not something I wanted to delve into right now--if you're interested, you can learn about Flex and Bison. Instead, I found a custom assembler that lets you define your CPU's instruction set and it'll do everything else for you. Let's get it setup:
  1. If you're on Windows, you can use the pre-built binaries. Otherwise, you'll need to install Rust and compile via cargo build.
  2. Create a file called 8bit.cpu and define your CPU instructions (source code). For example, LDA would be lda {address} -> 0x01 @ address[7:0]. What's cool is you can also now create the instruction's immediate variant instead of having to call it LDI: lda #{value} -> 0x05 @ value[7:0].
  3. You can now write assembly by adding #include "8bit.cpu" to the top of your code. There's a lot of neat features so make sure to read the documentation!
  4. Once you've written some assembly, you can generate the machine code using ./customasm yourprogram.s -f hexc -p. This prints out a char array just like our Arduino program used!
  5. Copy the char array into your Arduino program and send it to your CPU.
At this stage, you can start creating some pretty complex programs with ease. I would definitely play around with writing some larger programs. I actually found a bug in my hardware that was hidden for a while because my programs were never very complex!

Step 2: Expand the Control Lines (Image)

Before we can expand the CPU any further, we have to address the fact we're running out of control lines. An easy way to do this is to add a 3rd 28C16 ROM and be on your way. If you want something a little more involved but satisfying, read on.
Right now the control lines are one hot encoded. This means that if you have 4 lines, you can encode 4 states. But we know that a 4-bit binary number can encode 16 states. We'll use this principle via 74LS138 decoders, just like Ben used for the step counter.
Choosing the Control Line Combinations
Everything comes with trade-offs. In the case of combining control lines, it means the two control lines we choose to combine can never be activated at the same time. We can ensure this by encoding all the inputs together in the first 74LS138 and all the outputs together in a second 74LS138. We'll keep the remaining control lines directly connected.
Rewiring the Control Lines
If your build is anything like mine, the control lines are a bit of a mess. You'll need to be careful when rewiring to ensure it all comes back together correctly. Let's get to it:
  1. Place the two 74LS138 decoders on the far right side of the breadboard with the ROMs. Connect them to power and ground.
  2. You'll likely run out of inverters, so place a 74LS04 on the breadboard above your decoders. Connect it to power and ground.
  3. Carefully take your inputs (MI, RI, II, AI, BI, J) and wire them to the outputs of the left 74LS138. Do not wire anything to O0 because that's activated by 000 which won't work for us!
  4. Carefully take your outputs (RO, CO, AO, EO) and wire them to the outputs of the right 74LS138. Remember, do not wire anything to O0!
  5. Now, the 74LS138 outputs are active low, but the ROM outputs were active high. This means you need to swap the wiring on all your existing 74LS04 inverters for the LEDs and control lines to work. Make sure you track which control lines are supposed to be active high vs. active low!
  6. Wire E3 to power and E2 to ground. Connect the E1 on both 138s together, then connect it to the same line as OE on your ROMs. This will ensure that the outputs are disabled when you're in program mode. You can actually take off the 1k pull-up resistors from the previous tutorial at this stage, because the 138s actively drive the lines going to the 74LS04 inverters rather than floating like the ROMs.
At this point, you really need to ensure that the massive rewiring job was successful. Connect 3 jumper wires to A0-A2 and test all the combinations manually. Make sure the correct LED lights up and check with a multimeteoscilloscope that you're getting the right signal at each chip. Catching mistakes at this point will save you a lot of headaches! Now that everything is working, let's finish up:
  1. Connect A0-A2 of the left 74LS138 to the left ROM's A0-A2.
  2. Connect A0-A2 of the right 74LS138 to the right ROM's A0-A2.
  3. Distribute the rest of the control signals across the two ROMs.
Changing the ROM Code
This part is easy. We just need to update all of our #define with the new addresses and program the ROMs again. For clarity that we're not using one-hot encoding anymore, I recommend using hex instead of binary. So instead of #define MI 0b0000000100000000, we can use #define MI 0x0100, #define RI 0x0200, and so on.
Testing
Expanding the control lines required physically rewiring a lot of critical stuff, so small mistakes can creep up and make mysterious errors down the road. Write a program that activates each control line at least once and make sure it works properly! With your assembler and Arduino programmer, this should be trivial.
Bonus: Adding B Register Output
With the additional control lines, don't forget you can now add a BO signal easily which lets you fully use the B register.

Step 3: Add a Stack (Image 1, Image 2)

Adding a stack significantly expands the capability of the CPU. It enables subroutines, recursion, and handling interrupts (with some additional logic). We'll create our stack with an 8-bit stack pointer hard-coded from $0100 to $01FF, just like the 6502.
Wiring up the Stack Pointer
A stack pointer is conceptually similar to a program counter. It stores an address, you can read it and write to it, and it increments. The only difference between a stack pointer and a program counter is that the stack pointer must also decrement. To create our stack pointer, we'll use two 74LS193 4-bit up/down binary counters:
  1. Place a 74LS00 NAND gate, 74LS245 transceiver, and two 74LS193 counters in a row next to your output register. Wire up power and ground.
  2. Wire the the Carry output of the right 193 to the Count Up input of the left 193. Do the same for the Borrow output and Count Down input.
  3. Connect the Clear input between the two 193s and with an active high reset line. The B register has one you can use on its 74LS173s.
  4. Connect the Load input between the two 193s and to a new active low control line called SI on your 74LS138 decoder.
  5. Connect the QA-QD outputs of the lower counter to A8-A5 and the upper counter to A4-A1. Pay special attention because the output are in a weird order (BACD) and you want to make sure the lower A is connected to A8 and the upper A is connected to A4.
  6. Connect the A-D inputs of the lower counter to B8-B5 and the upper counter to B4-B1. Again, the inputs are in a weird order and on both sides of the chip so pay special attention.
  7. Connect the B1-B8 outputs of the 74LS245 transceiver to the bus.
  8. On the 74LS245 transceiver, connect DIR to power (high) and connect OE to a new active low control line called SO on your 74LS138 decoder.
  9. Add 8 LEDs and resistors to the lower part of the 74LS245 transceiver (A1-A8) so you can see what's going on with the stack pointer.
Enabling Increment & Decrement
We've now connected everything but the Count Up and Count Down inputs. The way the 74LS193 works is that if nothing is counting, both inputs are high. If you want to increment, you keep Count Down high and pulse Count Up. To decrement, you do the opposite. We'll use a 74LS00 NAND gate for this:
  1. Take the clock from the 74LS08 AND gate and make it an input into two different NAND gates on the 74LS00.
  2. Take the output from one NAND gate and wire it to the Count Up input on the lower 74LS193 counter. Take the other output and wire it to the Count Down input.
  3. Wire up a new active high control line called SP from your ROM to the NAND gate going into Count Up.
  4. Wire up a new active high control line called SM from your ROM to the NAND gate going into Count Down.
At this point, everything should be working. Your counter should be able to reset, input a value, output a value, and increment/decrement. But the issue is it'll be writing to $0000 to $00FF in the RAM! Let's fix that.
Accessing Higher Memory Addresses
We need the stack to be in a different place in memory than our regular program. The problem is, we only have an 8-bit bus, so how do we tell the RAM we want a higher address? We'll use a special control line to do this:
  1. Wire up an active high line called SA from the 28C16 ROM to A8 on the Cypress CY7C199 RAM.
  2. Add an LED and resistor so you can see when the stack is active.
That's it! Now, whenever we need the stack we can use a combination of the control line and stack pointer to access $0100 to $01FF.
Updating the Instruction Set
All that's left now is to create some instructions that utilize the stack. We'll need to settle some conventions before we begin:
If you want to add a little personal flair to your design, you can change the convention fairly easily. Let's implement push and pop (source code):
  1. Define all your new control lines, such as #define SI 0x0700 and #define SO 0x0005.
  2. Create two new instructions: PSH (1011) and POP (1100).
  3. PSH starts the same as any other for the first two steps: MI|CO and RO|II|CE. The next step is to put the contents of the stack pointer into the address register via MI|SO|SA. Recall that SA is the special control line that tells the memory to access the $01XX bank rather than $00XX.
  4. We then take the contents of AO and write it into the RAM. We can also increment the stack pointer at this stage. All of this is done via: AO|RI|SP|SA, followed by TR.
  5. POP is pretty similar. Start off with MI|CO and RO|II|CE. We then need to take a cycle and decrement the stack pointer with SM. Like with PSH, we then set the address register with MI|SO|SA.
  6. We now just need to output the RAM into our A register with RO|AI|SA and then end the instruction with TR.
  7. Updating the assembler is easy since neither instruction has operands. For example, push is just psh -> 0x0B.
And that's it! Write some programs that take advantage of your new 256 byte stack to make sure everything works as expected.

Step 4: Add Subroutine Instructions (Image)

The last step to complete our stack is to add subroutine instructions. This allows us to write complex programs and paves the way for things like interrupt handling.
Subroutines are like a blend of push/pop instructions and a jump. Basically, when you want to call a subroutine, you save your spot in the program by pushing the program counter onto the stack, then jumping to the subroutine's location in memory. When you're done with the subroutine, you simply pop the program counter value from the stack and jump back into it.
We'll follow 6502 conventions and only save and restore the program counter for subroutines. Other CPUs may choose to save more state, but it's generally left up to the programmer to ensure they're not wiping out states in their subroutines (e.g., push the A register at the start of your subroutine if you're messing with it and restore it before you leave).
Adding an Extra Opcode Line
I've started running low on opcodes at this point. Luckily, we still have two free address lines we can use. To enable 5-bit opcodes, simply wire up the 4Q output of your upper 74LS173 register to A7 of your 28C16 ROM (this assumes your opcodes are at A3-A6).
Updating the ROM Writer
At this point, you simply need to update the Arduino writer to support 32 instructions vs. the current 16. So, for example, UCODE_TEMPLATE[16][8] becomes UCODE_TEMPLATE[32][8] and you fill in the 16 new array elements with nop. The problem is that the Arduino only has so much memory and with the way Ben's code is written to support conditional jumps, it starts to get tight.
I bet the code can be re-written to handle this, but I had a TL866II Plus EEPROM programmer handy from the 6502 build and I felt it would be easier to start using that instead. Converting to a regular C program is really simple (source code):
  1. Copy all the #define, global const arrays (don't forget to expand them from 16 to 32), and void initUCode(). Add #include and #include to the top.
  2. In your traditional int main (void) C function, after initializing with initUCode(), make two arrays: char ucode_upper[2048] and char ucode_lower[2048].
  3. Take your existing loop code that loops through all addresses: for (int address = 0; address < 2048; address++).
  4. Modify instruction to be 5-bit with int instruction = (address & 0b00011111000) >> 3;.
  5. When writing, just write to the arrays like so: ucode_lower[address] = ucode[flags][instruction][step]; and ucode_upper[address] = ucode[flags][instruction][step] >> 8;.
  6. Open a new file with FILE *f = fopen("rom_upper.hex", "wb");, write to it with fwrite(ucode_upper, sizeof(char), sizeof(ucode_upper), f); and close it with fclose(f);. Repeat this with the lower ROM too.
  7. Compile your code using gcc (you can use any C compiler), like so: gcc -Wall makerom.c -o makerom.
Running your program will spit out two binary files with the full contents of each ROM. Writing the file via the TL866II Plus requires minipro and the following command: minipro -p CAT28C16A -w rom_upper.hex.
Adding Subroutine Instructions
At this point, I cleaned up my instruction set layout a bit. I made psh and pop 1000 and 1001, respectively. I then created two new instructions: jsr and rts. These allow us to jump to a subroutine and returns from a subroutine. They're relatively simple:
  1. For jsr, the first three steps are the same as psh: MI|CO, RO|II|CE, MI|SO|SA.
  2. On the next step, instead of AO we use CO to save the program counter to the stack: CO|RI|SP|SA.
  3. We then essentially read the 2nd byte to do a jump and terminate: MI|CO, RO|J.
  4. For rts, the first four steps are the same as pop: MI|CO, RO|II|CE, SM, MI|SO|SA.
  5. On the next step, instead of AI we use J to load the program counter with the contents in stack: RO|J|SA.
  6. We're not done! If we just left this as-is, we'd jump to the 2nd byte of jsr which is not an opcode, but a memory address. All hell would break loose! We need to add a CE step to increment the program counter and then terminate.
Once you update the ROM, you should have fully functioning subroutines with 5-bit opcodes. One great way to test them is to create a recursive program to calculate something--just don't go too deep or you'll end up with a stack overflow!

Conclusion

And that's it! Another successful upgrade of your 8-bit CPU. You now have a very capable machine and toolchain. At this point I would have a bunch of fun with the software aspects. In terms of hardware, there's a number of ways to go from here:
  1. Interrupts. Interrupts are just special subroutines triggered by an external line. You can make one similar to how Ben did conditional jumps. The only added complexity is the need to load/save the flags register since an interrupt can happen at any time and you don't want to destroy the state. Given this would take more than 8 steps, you'd also need to add another line for the step counter (see below).
  2. ROM expansion. At this point, address lines on the ROM are getting tight which limits any expansion possibilities. With the new approach to ROM programming, it's trivial to switch out the 28C16 for the 28C256 that Ben uses in the 6502. These give you 4 additional address lines for flags/interrupts, opcodes, and steps.
  3. LCD output. At this point, adding a 16x2 character LCD like Ben uses in the 6502 is very possible.
  4. Segment/bank register. It's essentially a 2nd memory address register that lets you access 256-byte segments/banks of RAM using bank switching. This lets you take full advantage of the 32K of RAM in the Cypress chip.
  5. Fast increment instructions. Add these to registers by replacing 74LS173s with 74LS193s, allowing you to more quickly increment without going through the ALU. This is used to speed up loops and array operations.
submitted by MironV to beneater [link] [comments]

Where’s the best place to live in light of collapse?

Ok we are 323 comments in on the collapse post and 98% didn’t bother to make even a slightly thoughtful answer. So... i guess i will be the change i want to see in the world
First off, If you are the fatalistic nihlistic type you can just go where you think it will be nice to die, maybe that is with friends and family, maybe it is on a beach in mexico, or feeding your body to the last polar bear. For everyone else that still has the instinct and drive for self-preservation….
What are the best places to be leading up to or during collapse?

First let's question the question.

What difference does it make to know "What are the best places to be leading up to or during collapse"?
The answer is dependent upon your own personal situation. Your personal situation has limiting factors.
Your personal Limiting Factors constrain you usually somewhere between those extremes, everyone has different options.
If we assume you are asking the question "What are the best places to be leading up to or during collapse" because you want to have the best standard of living available for as long as possible or simply survive the incoming population bottleneck, then the practical question becomes ...
"What are the best places to be, leading up to or during collapse, that i can get to, and establish myself in such a way that I can maintain the best standard of living possible for as long as I can or simply increase my probability of surviving the incoming population bottleneck."
It is important to ask this question to constrain the search space to the possible. It makes fuck-all difference if a somali goat herder knows about the ToP SeCret ElitE mULtibiLLioNaIre New ZEaLand sOUth IsLaNd ReDoUbt BuNkeR CoMmUnITy It is not going to help him and should not be in the search space as a survival strategy.
TL:DR Constrain your search space to what is realistically achievable for you.
  1. Start with your baseline probability of survival and increase it.
  2. Don't let a search for "best place" stop you from achieving "good enough place" or "better than where i was previously place".
  3. You are just trying to be an early adopter of increasing your survival probability stats before the non collapse-pilled masses.
  4. Think of surviving bottlenecks like surviving a charging bear attack, you don't need to be able to outrun the bear, you only need to be able to outrun the slowest people in the group up to the point the bear's appetite is satiated.
  5. Remember working with others can leverage group synergies and massively increase the realistic capabilities, but this requires you establish social cohesion with sane cooperative people that have a similar goal orientation. /greencommunes
.............................................................................................................
What are the best places to be, leading up to or during collapse, that i can get to, and establish myself in such a way that I can maintain the best standard of living possible for as long as I can or simply increase my probability of surviving the incoming population bottleneck." 

Ok now lets question the new question some more...

In order to answer this we need to untangle some of the subjective and objective elements.
The objective elements of human survival are well known.
Optimizing location is a series of subjective trade-offs. There is no perfect place, they all have advantages and disadvantages.
So you must decide your personal preference of which goods and bads you most desire and what your scenario expectations are of the future.
Your personal preferences and collapse expectations mean the “best area” is specific to you.
What you can achieve and what do you desire, find the overlap between the two, then do research to find the place that gives you the most goods with the least bads and increases your probability of survival and standard of living.
One of the best strategies is to adapt yourself to your local circumstances to take advantage of the advantages, and plan ahead to mitigate the disadvantages, it is really all most people can do for themselves.
Do you like not living in unbearable heat, maybe moving to greenland is NOT a better option than just buying 400watts of solar panels and attaching it to a small efficient AC that keeps one room of your house cool even during summer electricity blackouts. Most problems have multiple solutions, it is worth it to take time and think about things from an economic perspective and different time horizon perspectives.
Increasing your optionality is better than narrowing it when it comes to survival, rather than the binary thinking, of “go way out into the northern mountains, farm and live in a bunker” versus “be a full time yuppie and ignore collapse issues”. Getting 2 acres you can put a cheap used rv camper on and go do permaculture on during weekends, near enough your place of employment/where you live, is probably a better plan. Indeed the small dacha’s and country gardens helped many people survive the collapse of the USSR. They would spend weekends and haul potatoes/veggies back to the city with them on the bus. Hedge your bets to cover the most scenarios including the most likely scenarios like losing your job or getting in a car accident. Survival and thriving always has and always will involve dynamic adaptation.
Here is a very short list of some of potential trade-offs that you may need to think about and some brief descriptions of how they can affect things. This is NOT meant to be a systematic or exhaustive analysis, this is just me stream-of-conscious flowing on strong coffee to help others start thinking about it for themselves. There are unlimited variables
Most of these maps are of the USA. If you have other maps please post them in the comments and i will edit this post to squeeze them in. From these maps and a little critical thinking you can figure out where is best for YOU. If you need to figure something out go to google images and search for maps it is easier than ever to find what you need. But remember the map is not the territory, there are great spots maps don't have the resolution to show.These are just some random things i pulled up real quick. mapporn is a good source
https://gain.nd.edu/our-work/country-index/
https://ourworldindata.org/charts
https://ucanr.edu/blogs/dirt/blogfiles/37486_original.jpg
https://www.plantmaps.com/
There are a lot of submaps,for example if you click california then it brings first and last frost date maps, heat maps etc…
http://www.bonap.org/
On the left hand side there are lots of links to climate and biogeography maps
https://www.firelab.org/sites/default/files/images/downloads/whp_2018_classified_midsize.jpg
Firehazard map
https://imgur.com/a/drI7nZB middle of nowhere
hdd+cdd= change in energy requirements for climate control https://energyathaas.files.wordpress.com/2017/10/caldeira.png
https://fitzlab.shinyapps.io/cityapp/ Find out what your city will be like in 60 years
human development index https://imgur.com/a/VDmTac7
https://imgur.com/a/XoGw1Ic solar and wind potential combined
https://imgur.com/a/97XEe22 1% of population lives here
https://imgur.com/a/Ki4Zegq land quality
https://imgur.com/a/kYzus5H Fig. 2 Spatial distributions of projected damages. County-level median values for average 2080 to 2099 RCP8.5 impacts. Impacts are changes relative to counterfactual “no additional climate change” trajectories. Color indicates magnitude of impact in median projection; outline color indicates level of agreement across projections (thin white outline, inner 66% of projections disagree in sign; no outline, ≥83% of projections agree in sign; black outline, ≥95% agree in sign; thick white outline, state borders; maps without outlines shown in fig. S2). Negative damages indicate economic gains. (A) Percent change in yields, area-weighted average for maize, wheat, soybeans, and cotton. (B) Change in all-cause mortality rates, across all age groups. (C) Change in electricity demand. (D) Change in labor supply of full-time-equivalent workers for low-risk jobs where workers are minimally exposed to outdoor temperature. (E) Same as (D), except for high-risk jobs where workers are heavily exposed to outdoor temperatures. (F) Change in damages from coastal storms. (G) Change in property-crime rates. (H) Change in violent-crime rates. (I) Median total direct economic damage across all sectors [(A) to (H)].
https://i.redd.it/x9a2x7627vm31.png Nuclear targets
https://i.redd.it/s8stxdk9a6i31.jpg Chernobyl fallout, demonstrates the nonlinear patterns of distribution
https://i.redd.it/al06n7nofwi21.png Reliance on nuclear energy.
https://i.imgur.com/AbcjwaD.jpg
https://imgur.com/6o2XcHD
https://i.redd.it/jvp1e7maxhr01.jpg Global solar potential
https://i.redd.it/zk0hbo2bhf4z.png Renewable electric supply
Power plants http://i.imgur.com/esUA6iN.jpg
https://i.redd.it/6s781fax1cs21.jpg Red and orange have same populations
https://i.redd.it/cbndvblgz0x21.jpg Agricultural suitability
https://i.redd.it/cpkaqv5h11d31.jpg how america uses its land
https://i.redd.it/2w1va9h2w7431.png Life expectancy by congressional district
https://i.redd.it/kgrz9rweksx21.jpg food for humansgreen versus animal feed purple
https://i.imgur.com/TOlZ2SD.gif line that separates wet and dry USA
https://imgur.com/oqJXKsV Is food a human right? See paupericide
https://i.redd.it/xbvng0ul8nz01.jpg food self sufficiency
https://www.researchgate.net/publication/315066937/figure/fig2/AS:[email protected]/Worlds-hybrid-PV-Wind-power-plant-cumulative-FLh-map.png combination wind+photovoltaic capacity
https://www.nasa.gov/centers/goddard/images/content/95539main_fig1.jpg human appropriated net primary productivity
https://www.nasa.gov/centers/goddard/images/content/95543main_fig2.jpg avoid the pink and orange unless your strategy is cannabilism in fast or hard crash.
https://nimaehsani.files.wordpress.com/2016/03/water_scarcity_map.jpg?w=748 water shortage
https://upload.wikimedia.org/wikipedia/commons/8/84/Global_malnutrition.png malnutrition
https://science.sciencemag.org/content/sci/354/6309/aaf8957/F5.large.jpg
submitted by MakeTotalDestr0i to collapse [link] [comments]

Fairlearn - A Python package to assess AI system's fairness

In 2015, Claire Cain Miller wrote on The New York Times that there was a widespread belief that software and algorithms that rely on data were objective. Five years later, we know for sure that AI is not free of human influence. Data is created, stored, and processed by people, machine learning algorithms are written and maintained by people, and AI applications simply reflect people’s attitudes and behavior.
Data scientists know that no longer accuracy is the only concern when developing machine learning models, fairness must be considered as well. In order to make sure that machine learning solutions are fair and the value of their predictions easy to understand and explain, it is essential to build tools that developers and data scientists can use to assess their AI system’s fairness and mitigate any observed unfairness issues.
This article will focus on AI fairness, by explaining the following aspects and tools:
  1. Fairlearn: a tool to assess AI system’s fairness and mitigate any observed unfairness issues
  2. How to use Fairlearn in Azure Machine Learning
  3. What we mean by fairness
  4. Fairlearn algorithms
  5. Fairlearn dashboard
  6. Comparing multiple models
  7. Additional resources and how to contribute

1. Fairlearn: a tool to assess AI system’s fairness and mitigate any observed unfairness issues

Fairlearn is a Python package that empowers developers of artificial intelligence (AI) systems to assess their system’s fairness and mitigate any observed unfairness issues. Fairlearn contains mitigation algorithms as well as a Jupyter widget for model assessment. The Fairlearn package has two components:
There is also a collection of Jupyter notebooks and an a detailed API guide, that you can check to learn how to leverage Fairlearn for your own data science scenario.

2. How to use Fairlearn in Azure Machine Learning

The Fairlearn package can be installed via:
pip install fairlearn
or optionally with a full feature set by adding extras, e.g. pip install fairlearn[customplots], or you can clone the repository locally via:
git clone [email protected]:fairlearn/fairlearn.git
In Azure Machine Learning, there are a few options to use Jupyter notebooks for your experiments:

a) Get Fairlearn samples on your notebook server

If you’d like to bring your own notebook server for local development, follow these steps:
  1. Use the instructions at Azure Machine Learning SDK to install the Azure Machine Learning SDK for Python
  2. Create an Azure Machine Learning workspace.
  3. Write a configuration file
  4. Clone the GitHub repository.
git clone [email protected]:fairlearn/fairlearn.git
  1. Start the notebook server from your cloned directory.
jupyter notebook
For more information, see Install the Azure Machine Learning SDK for Python.
b) Get Fairlearn samples on DSVM
The Data Science Virtual Machine (DSVM) is a customized VM image built specifically for doing data science. If you create a DSVM, the SDK and notebook server are installed and configured for you. However, you’ll still need to create a workspace and clone the sample repository.
  1. Create an Azure Machine Learning workspace.
  2. Clone the GitHub repository.
git clone [email protected]:fairlearn/fairlearn.git
  1. Add a workspace configuration file to the cloned directory using either of these methods:
  1. Start the notebook server from your cloned directory:
jupyter notebook

3. What we mean by fairness

Fighting against unfairness and discrimination has a long history in philosophy and psychology, and recently in machine learning. However, in order to be able to achieve fairness, we should first define the notion of it. An AI system can behave unfairly for a variety of reasons and many different fairness explanations have been used in literature, making this definition even more challenging. In general, fairness definitions fall under three different categories as follows:
In Fairlearn, we define whether an AI system is behaving unfairly in terms of its impact on people – i.e., in terms of harms. We focus on two kinds of harms:
We follow the approach known as group fairness, which asks: Which groups of individuals are at risk of experiencing harm? The relevant groups need to be specified by the data scientist and are application-specific. Group fairness is formalized by a set of constraints, which require that some aspect (or aspects) of the AI system’s behavior be comparable across the groups. The Fairlearn package enables the assessment and mitigation of unfairness under several common definitions.

4. Fairlearn algorithms

Fairlearn contains the following algorithms for mitigating unfairness in binary classification and regression:
https://preview.redd.it/5fzg767oh5051.png?width=898&format=png&auto=webp&s=731eab09b421c2dd3233ea9e184df136bf066739

5. Fairlearn dashboard

Fairlearn dashboard is a Jupyter notebook widget for assessing how a model’s predictions impact different groups (e.g., different ethnicities), and also for comparing multiple models along different fairness and accuracy metrics.
To assess a single model’s fairness and accuracy, the dashboard widget can be launched within a Jupyter notebook as follows:
from fairlearn.widget import FairlearnDashboard
# A_test containts your sensitive features (e.g., age, binary gender)
# sensitive_feature_names containts your sensitive feature names
# y_true contains ground truth labels
# y_pred contains prediction labels
FairlearnDashboard(sensitive_features=A_test,
sensitive_feature_names=['BinaryGender', 'Age'],
y_true=Y_test.tolist(),
y_pred=[y_pred.tolist()])
After the launch, the widget walks the user through the assessment set-up, where the user is asked to select:
  1. the sensitive feature of interest (e.g., binary gender or age)
  2. the accuracy metric (e.g., model precision) along which to evaluate the overall model performance as well as any disparities across groups.
These selections are then used to obtain the visualization of the model’s impact on the subgroups (e.g., model precision for females and model precision for males). The following figures illustrate the set-up steps, where binary gender is selected as a sensitive feature and the accuracy rate is selected as the accuracy metric:
After the set-up, the dashboard presents the model assessment in two panels, as summarized in the table, and visualized in the screenshot below:
https://preview.redd.it/juxlrmrkh5051.png?width=900&format=png&auto=webp&s=d92da30619369f5ab5109834ff7ff4ec3ad7f33d

6. Comparing multiple models

An additional feature that this dashboard offers is the comparison of multiple models, such as the models produced by different learning algorithms and different mitigation approaches, including:
As before, the user is first asked to select the sensitive feature and the accuracy metric. The model comparison view then depicts the accuracy and disparity of all the provided models in a scatter plot. This allows the user to examine trade-offs between algorithm accuracy and fairness. Moreover, each of the dots can be clicked to open the assessment of the corresponding model.
The figure below shows the model comparison view with binary gender selected as a sensitive feature and accuracy rate selected as the accuracy metric.

7. Additional resources and how to contribute

For references and additional resources, please refer to:
To contribute please check this contributing guide.
submitted by frlazzeri to deeplearning [link] [comments]

Fairlearn - A Python package to assess AI system's fairness

Fairlearn - A Python package to assess AI system's fairness
In 2015, Claire Cain Miller wrote on The New York Times that there was a widespread belief that software and algorithms that rely on data were objective. Five years later, we know for sure that AI is not free of human influence. Data is created, stored, and processed by people, machine learning algorithms are written and maintained by people, and AI applications simply reflect people’s attitudes and behavior.
Data scientists know that no longer accuracy is the only concern when developing machine learning models, fairness must be considered as well. In order to make sure that machine learning solutions are fair and the value of their predictions easy to understand and explain, it is essential to build tools that developers and data scientists can use to assess their AI system’s fairness and mitigate any observed unfairness issues.
This article will focus on AI fairness, by explaining the following aspects and tools:
  1. Fairlearn: a tool to assess AI system’s fairness and mitigate any observed unfairness issues
  2. How to use Fairlearn in Azure Machine Learning
  3. What we mean by fairness
  4. Fairlearn algorithms
  5. Fairlearn dashboard
  6. Comparing multiple models
  7. Additional resources and how to contribute

1. Fairlearn: a tool to assess AI system’s fairness and mitigate any observed unfairness issues

Fairlearn is a Python package that empowers developers of artificial intelligence (AI) systems to assess their system’s fairness and mitigate any observed unfairness issues. Fairlearn contains mitigation algorithms as well as a Jupyter widget for model assessment. The Fairlearn package has two components:
  • A dashboard for assessing which groups are negatively impacted by a model, and for comparing multiple models in terms of various fairness and accuracy metrics.
  • Algorithms for mitigating unfairness in a variety of AI tasks and along a variety of fairness definitions.
There is also a collection of Jupyter notebooks and an a detailed API guide, that you can check to learn how to leverage Fairlearn for your own data science scenario.

2. How to use Fairlearn in Azure Machine Learning

The Fairlearn package can be installed via:
pip install fairlearn
or optionally with a full feature set by adding extras, e.g. pip install fairlearn[customplots], or you can clone the repository locally via:
git clone [email protected]:fairlearn/fairlearn.git
In Azure Machine Learning, there are a few options to use Jupyter notebooks for your experiments:

a) Get Fairlearn samples on your notebook server

If you’d like to bring your own notebook server for local development, follow these steps:
  1. Use the instructions at Azure Machine Learning SDK to install the Azure Machine Learning SDK for Python
  2. Create an Azure Machine Learning workspace.
  3. Write a configuration file
  4. Clone the GitHub repository.
git clone [email protected]:fairlearn/fairlearn.git
  1. Start the notebook server from your cloned directory.
jupyter notebook
For more information, see Install the Azure Machine Learning SDK for Python.
b) Get Fairlearn samples on DSVM
The Data Science Virtual Machine (DSVM) is a customized VM image built specifically for doing data science. If you create a DSVM, the SDK and notebook server are installed and configured for you. However, you’ll still need to create a workspace and clone the sample repository.
  1. Create an Azure Machine Learning workspace.
  2. Clone the GitHub repository.
git clone [email protected]:fairlearn/fairlearn.git
  1. Add a workspace configuration file to the cloned directory using either of these methods:
  • In the Azure portal, select Download config.json from the Overview section of your workspace.
  • Create a new workspace using code in the configuration.ipynb notebook in your cloned directory
  1. Start the notebook server from your cloned directory:
jupyter notebook

3. What we mean by fairness

Fighting against unfairness and discrimination has a long history in philosophy and psychology, and recently in machine learning. However, in order to be able to achieve fairness, we should first define the notion of it. An AI system can behave unfairly for a variety of reasons and many different fairness explanations have been used in literature, making this definition even more challenging. In general, fairness definitions fall under three different categories as follows:
  • Individual Fairness – Give similar predictions to similar individuals.
  • Group Fairness – Treat different groups equally.
  • Subgroup Fairness – Subgroup fairness intends to obtain the best properties of the group and individual notions of fairness.
In Fairlearn, we define whether an AI system is behaving unfairly in terms of its impact on people – i.e., in terms of harms. We focus on two kinds of harms:
  • Allocation harms. These harms can occur when AI systems extend or withhold opportunities, resources, or information. Some of the key applications are in hiring, school admissions, and lending.
  • Quality-of-service harms. Quality of service refers to whether a system works as well for one person as it does for another, even if no opportunities, resources, or information are extended or withheld.
We follow the approach known as group fairness, which asks: Which groups of individuals are at risk of experiencing harm? The relevant groups need to be specified by the data scientist and are application-specific. Group fairness is formalized by a set of constraints, which require that some aspect (or aspects) of the AI system’s behavior be comparable across the groups. The Fairlearn package enables the assessment and mitigation of unfairness under several common definitions.

4. Fairlearn algorithms

Fairlearn contains the following algorithms for mitigating unfairness in binary classification and regression:
https://preview.redd.it/2inmvd6g75051.png?width=899&format=png&auto=webp&s=3386410974a9e3640ef8ef8a409a2f19f989330a

5. Fairlearn dashboard

Fairlearn dashboard is a Jupyter notebook widget for assessing how a model’s predictions impact different groups (e.g., different ethnicities), and also for comparing multiple models along different fairness and accuracy metrics.
To assess a single model’s fairness and accuracy, the dashboard widget can be launched within a Jupyter notebook as follows:
from fairlearn.widget import FairlearnDashboard
# A_test containts your sensitive features (e.g., age, binary gender)
# sensitive_feature_names containts your sensitive feature names
# y_true contains ground truth labels
# y_pred contains prediction labels
FairlearnDashboard(sensitive_features=A_test,
sensitive_feature_names=['BinaryGender', 'Age'],
y_true=Y_test.tolist(),
y_pred=[y_pred.tolist()])
After the launch, the widget walks the user through the assessment set-up, where the user is asked to select:
  1. the sensitive feature of interest (e.g., binary gender or age)
  2. the accuracy metric (e.g., model precision) along which to evaluate the overall model performance as well as any disparities across groups.
These selections are then used to obtain the visualization of the model’s impact on the subgroups (e.g., model precision for females and model precision for males). The following figures illustrate the set-up steps, where binary gender is selected as a sensitive feature and the accuracy rate is selected as the accuracy metric:
After the set-up, the dashboard presents the model assessment in two panels, as summarized in the table, and visualized in the screenshot below:

https://preview.redd.it/enskhh7i75051.png?width=900&format=png&auto=webp&s=db98cb058029655757df1946e42bca4831170451

6. Comparing multiple models

An additional feature that this dashboard offers is the comparison of multiple models, such as the models produced by different learning algorithms and different mitigation approaches, including:
  • fairlearn.reductions.GridSearch
  • fairlearn.reductions.ExponentiatedGradient
  • fairlearn.postprocessing.ThresholdOptimizer
As before, the user is first asked to select the sensitive feature and the accuracy metric. The model comparison view then depicts the accuracy and disparity of all the provided models in a scatter plot. This allows the user to examine trade-offs between algorithm accuracy and fairness. Moreover, each of the dots can be clicked to open the assessment of the corresponding model.
The figure below shows the model comparison view with binary gender selected as a sensitive feature and accuracy rate selected as the accuracy metric.

7. Additional resources and how to contribute

For references and additional resources, please refer to:
To contribute please check this contributing guide.
submitted by frlazzeri to learnmachinelearning [link] [comments]

MAME 0.215

MAME 0.215

A wild MAME 0.215 appears! Yes, another month has gone by, and it’s time to check out what’s new. On the arcade side, Taito’s incredibly rare 4-screen top-down racer Super Dead Heat is now playable! Joining its ranks are other rarities, such as the European release of Capcom‘s 19XX: The War Against Destiny, and a bootleg of Jaleco’s P-47 – The Freedom Fighter using a different sound system. We’ve got three newly supported Game & Watch titles: Lion, Manhole, and Spitball Sparky, as well as the crystal screen version of Super Mario Bros. Two new JAKKS Pacific TV games, Capcom 3-in-1 and Disney Princesses, have also been added.
Other improvements include several more protection microcontrollers dumped and emulated, the NCR Decision Mate V working (now including hard disk controllers), graphics fixes for the 68k-based SNK and Alpha Denshi games, and some graphical updates to the Super A'Can driver.
We’ve updated bgfx, adding preliminary Vulkan support. There are some issues we’re aware of, so if you run into issues, check our GitHub issues page to see if it’s already known, and report it if it isn’t. We’ve also improved support for building and running on Linux systems without X11.
You can get the source and Windows binary packages from the download page.

MAMETesters Bugs Fixed

New working machines

New working clones

Machines promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

submitted by cuavas to emulation [link] [comments]

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