- cypherpunks - lists.cpunks.org

[ot][ml] early public unified diff model conditioning on commit messages
by Undescribed Horrific Abuse, One Victim & Survivor of Many 19 Dec '22

19 Dec '22

I stumbled on this, looks like it was released 2-3 weeks ago. It's not trained yet, but can do simple things. Example (may have made typo, unsure): $ python3 >>> import transformers >>> pipeline = transformers.pipeline('text-generation', 'CarperAI/diff-codegen-350m-v1') >>> generation = pipeline('<NME> hello_world.py\n<BEF> ADDFILE\n<MSG> hello world example\n<DFF>', max_length=64, do_sample=False)[0]['generated_text'] >>> print(generation[:generation.find('<NME>',1)]) <NME> hello_world.py <BEF> ADDFILE <MSG> hello world example <DFF> @@ -0,0 +1,1 @@ +print("Hello World!") https://huggingface.co/CarperAI/diff-codegen-350m-v1 --- language: - en - code license: "mit" tags: - Diff Model - pytorch - causal-lm - code-generation - The Pile --- **Model Description** Diff-Codegen-350M is the first in a series of diff models released by CarperAI. A diff model is an autoregressive language model trained on edits to a piece of text, formatted in Unified Diff Format. These diff models can suggest, given a section of text and a description of the desired change, an intelligent change to the text that fits the description, marking the lines added, changed, and deleted in diff format. The primary use case for these models is for suggesting changes to code—as such, most models we release will be fine-tuned versions of models trained on code datasets. Diff-Codegen-350M-v1 is an initial preliminary release of an experimental artifact and should be treated as such. We are releasing these results and this model in the hopes that it may be useful to the greater research community, especially those interested in LMs for code. CarperAI will be releasing larger diff LMs trained on larger code datasets in the near future, building on this initial release. **Training Data** This model is a fine-tune of Codegen-350m-mono by Salesforce. This language model was first pre-trained on The PIle, an 800Gb dataset composed of varied web corpora. The datasheet and paper for the Pile can be found here and here respectively. The model was then fine-tuned on a large corpus of code data in multiple languages, before finally being fine-tuned on a Python code dataset. The Codegen paper with full details of these datasets can be found here. Our diff model was trained on a dataset of commits from BigQuery, a large-scale dataset of many programming languages from GitHub repositories. We filtered the dataset by the number of stars in the repository (>100 stars), license (only open-source non-copyleft licensed code included), and length of file (files greater than 2048 tokens in length were excluded). The model was trained using the GPT-2 tokenizer. **Training Details** The model was trained for 44574 steps (1 epoch) on 8 A100 GPUs. Each file was formatted as follows for input to the language model: ``` <NME> {FILE_NAME} <BEF> {INPUT_FILE} <MSG> {COMMIT_MESSAGE} <DFF> {FILE_DIFF} ``` **Intended Uses and Limitations** Due to the model’s small size and restriction to code, one should not expect the model to generalize to domains beyond code and perform (successful) reasoning over large chunks of code. This model is intended to be used in prototyping ELM-like systems, and for solely experimental purposes. This model is provided without warranty and should not be used in commercial settings -- even though the license permits. **Limitations and Biases** Due to the short context length restriction and due to the fact that all repositories with under 100 stars were excluded, we expect our diff model to underperform on underrepresented languages, for instance Lean or Coq. The output of this model should not be trusted as correct and secure code. This model should not be used in any mission critical setting where security is of importance. Similarly, when running the output of this model, it should be done in a sandbox like gVisor. **Evaluation Results** Since this model was trained for prototyping, no evaluation has been performed. Future releases will have extensive evaluation. **Licensing** This model is licensed as MIT. While it can be used in commercial settings, we do not recommend its use in commercial settings. **Acknowledgements** We’d like to thank Honglu Fan, Harry Saini, Herbie Bradley, and Joel Lehman

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Burning $44B to help migrate people to web3 is a great and public-spirited move.
by professor rat 19 Dec '22

19 Dec '22

Mollusk could be an honorary cypherpunk if this pans out. Mollusks ’ Brokemon 'Trading-Cards moment? @octal 7h Including nostr (a tiny bitcoin-specific thing which 99.999% of people haven’t heard of, but which @jack is supporting and which does look pretty cool technically) was the most shocking. (also not including parler, gettr, gab…but especially TikTok!!!). <<< " You ass - you’ve killed us " Jack @jack 6h Replying to @TwitterSupport Why? Balaji against net-states - before he was for net-states https://twitter.com/balajis/status/1604545175631835136?cxt=HHwWgMDRucDVvsQs… TWITTER is now to the right of Fedbook? You’d have to be a jackass not to laugh.

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Great way found to fight servers that act as a D.O.S. attacker
by professor rat 19 Dec '22

19 Dec '22

GET OFF the INTERNET

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Royal scumbags backed by fake cypherpunk
by professor rat 18 Dec '22

18 Dec '22

Btc Maxi Prince Filip's father Alexander is a proponent of re-creating a constitutional monarchy in Serbia and sees himself as the rightful king. A key event for Prince Alexander - Filip's grandfather - occurred on 27 March 1909 when his older brother, Crown Prince George, publicly renounced his claim to the throne after strong pressure from political circles in Serbia. Prince Alexander donated a large sum of money to the Black Hand-oriented journal Pijemont (Piedmont) (founded in August 1911). George killed his servant Kolaković by kicking him in the stomach. What a prince that man was. Adam Back is a traitor to all cypherpunks and all crypto-anarchists - this traitor will receive his appropriate reward in due course.

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ADMAN BACKSTABBER for hereditary elitist rule
by professor rat 18 Dec '22

18 Dec '22

CYPHERPUNK BACKSTABBER bows and grovels for hereditary elitist rule Adam Back Retweeted JAN3 @JAN3com · Dec 18 “#Bitcoin is the best saving technology ever created.” @PrincFilip1 , JAN3 CSO, as a keynote speaker at the @SurfinBitcoin conference. Prince Filip of Serbia shared his bullish outlook on Bitcoin & explained why he believes it has a bright future. 🇷🇸🌎⚡️ https://youtu.be/duNOdDC1h7s ADAM Back has earned killing ( My 200 sats )

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cpunks list server is a D.O.S. attacker
by punk 18 Dec '22

18 Dec '22

So the list's server accepts unauthenticated commands from any IP address and fowards them to the D.O.S. target. This 'feature' of the server doesn't have any legitimate purpose, since people who want to subscribe/unsubscribe/etc should send the commands using their email address, not an unauthenticated 'web' interface. At the very least the web interface should ban tor and have some kind of rate limiting instead of mindlessly fowarding 1000s of messages to one address.

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Cryptocurrency: WarOnCash - Banks Ratchet Up Restrictions and Tracking
by grarpamp 18 Dec '22

18 Dec '22

https://twitter.com/jacski/status/1542682049466626050 Control of money is HERE! PULL OUT. The great reset remember when that was a conspiracy theory and it was laughed at? Right.. Anyone reading this. It’s absolutely essential you look into Bitcoin. PERMISSIONLESS money The system is starting to squeeze you like a Boa constrictor snake and it won’t stop.. We don’t need the their system! Think bigger think #Bitcoin Anything over $10k is flagged as “suspicious “. I got asked when I withdrew $10k. I lied and said it was for a car. They even quizzed me about the car. This is a low-key way of bringing in the #cashban Wait until cash 💰 is phased out by 2025, and replaced with a CBDC,then you’ll know all about control. Y'all don't understand. When you deposit YOUR money, you're giving the bank an UNSECURED LOAN. This is why they can make you jump through hoops to get it back. It, legally, isn't your money any more once they have it. This is from a US Supreme Court case. Likely the same in OZ. Same in the UK too. And they can use your money for a bank bail in, then issue you with worthless shares Fractional reserve lending. They don’t have the money. Get ready for the shitshow.

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cypherpunks list attack
by Punk-BatSoup-Stasi 2.0 18 Dec '22

18 Dec '22

Hi Greg. In the last few hours this address received more than 3000 'unsubscribe' notifications "We have received a request from 107.189.10.143 for the removal of your email address, "punks(a)tfwno.gf"" So the government agents on the list are getting more criminal. They are now using the list as a 'tool' for mail bombing. I suggest you ban them all. Please disable somehow the notification system since it's being used for outright criminal activity. Thanks.

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Cryptocurrency: Fake News Controls Your Bags, Manipulates Markets, FUD's For GovPol Power
by grarpamp 18 Dec '22

18 Dec '22

https://cryptomaton.medium.com/how-the-media-controls-your-bags-77bf106e932d https://cryptomaton.medium.com/ CyberPunkMetalHead Top Writer and co-founder of Algo Trading Platform — AESIR. https://twitter.com/cryptomatonblog How the media controls your bags https://www.bloomberg.com/news/articles/2022-09-21/dimon-calls-out-cryptocu… https://www.bloomberg.com/news/articles/2022-11-02/jpmorgan-executes-its-fi… https://github.com/CyberPunkMetalHead/bitcoin-bot-buy-if-elon-tweets https://twitter.com/Bitboy_Crypto https://twitter.com/search?q=%23LUNC Screaming into a Megaphone is still one of the most efficient ways of making yourself heard in front of an audience. In traditional media, the system of information control was essentially that. Some people had a megaphone, and the rest would listen. The only difference now is that the general public is allowed to participate in the dissemination of information, some even have their own megaphones, but the process remains largely the same. This article is a deep-dive into how media and notable individuals control and influence the price of crypto assets. #1 Uses their position to influence media, plays long and short J.P. Morgan is especially guilty of this. Anyone else that’s not J.P. Morgan would see the insides of a jail cell within a fortnight if they gave half as many mixed signals when it comes to their stance on crypto as J.P. For instance, on September 21st Jamie Dimon, the CEO of J.P. Morgan Chase calls “crypto tokens like Bitcoin a decentralized ponzi scheme”. Same day bitcoin drops over 7% as people obviously sell due to the FUD. Of course, J.P’s followers and maxis are only too happy to amplify their leader’s message within their own social following, adding to the FUD. You’ll notice that it’s usually dumb comments like that, and this is one of the dumbest ones, that have a real effect in the market. The more “simple” and emotionally charged a message is, the more impact it tends to have. I’d leave old J.P. alone if this was their entire narrative, but it’s not. One month they will bash the entire crypto industry with outlandish blanket statements, while the next one they announce they have started working with crypto. They’ve been literally bashing crypto and buying it at the same time since 2013. The manipulation here is blatant. Just a couple of months later, on November 2nd 2022, J.P Morgan announced they executed their first DeFi trade using Polygon. When this news broke, it brought renewed confidence in the Polygon, with the setting the MATIC token on a bull run gaining over 50% in just 2 days. When you’re as systemic as J.P, market Manipulation comes as second nature. Everything their CEO says publicly is instantly picked up by the world’s biggest media giants and gets disseminated within miuntes. At this stage the media can choose to publish this story or not. Even a mediocre journalist is able to tell when they’re sitting on a story that will move the market. Would they be not to place an order in the predictable position before the story gets published? But enough of J.Ps blatant market manipulation and their CEO’s lack of a morals, let’s crack on with the next example. #2 Direct influence via social media, but they’re a permabull Elon Musk and Dogecoin. You know what I’m talking about. Elon Musk has been known, on multiple occasions to influence the price of Dogecoin via his tweets. This is a lot different in sentiment compared to J.P. Morgan, and a lot more nuanced too, but the outcome is a similar one. Here is a Tweet from Elon on November first: — and here’s Dogecoin pumping 62% in just over 12 hours. There are many examples of Elon’s Tweets affecting the price of Dogecoin, so many in fact that last time I was looking into this, I actually coded a crypto trading bot that buys based on Elon’s tweets. I’ve open sourced it, and I made it for fun, I probably wouldn’t recommend basing your entire trading strategy on one man’s Tweets. What both Elon and J.P’s CEO have in common is what once they make a statement, it gets immediate media attention, pretty much guaranteeing that every word they make public, gets viral. The next category of individuals is a different one. 3# Organises pump and dump groups, dumps liquidity on you This category has not a single person or organisation behind it, but the result is usually similar, at least in the short term. Pump and Dump groups are private social media groups where a few individuals inform 10s of thousands of other people that they will long or short a certain asset at a certain time. The huge spike in volume usually results in quick pump, followed by an even quicker dump. Here is an example of a Pump and Dump that took place on Jan 1st 2018 for BANCOR: As you can see below, the market quickly spiked up over 30% only to dump back to baseline in the following 30 minutes. Very few people actually make money from pump and dumps. Usually, the organisers of the pump and dumps are the only ones who make any money, and everyone else in that group who contribute to the pump are just there so the organisers can dump thee bags they’ve been stashing days in advance on them. After a pump and dump, the market usually remains un-affected in the long term. #4 Gets paid to shill to their own following, also dumps on their bags on you Shills are usually influencers who are just so excited to share “this next project that will definitely 100x” with you. Shills will say or do anything to get you to buy a certain coin. Many cryptocurrency shills have been known to hold bags of the coins they’re shilling (for obvious reasons). But there’s one shill out there who’s made an entire career out of it. Enter BitBoy Crypto — a shill for hire. The guy’s been getting paid to promote tens of dead shitcoins that eventually end up in the massive dump of dead crypto projects. Shoutout to Twitter user ZachXBT who did an ROI on many of the assets the BitBoy crypto shilled. The sheet below shows how most of them are now dead projects: #5 Shills their bags using bot farms, dumps liquidity on you This one is obviously harder to pinpoint so there won’t be any concrete examples. Bot farms are collections of tens of thousands of autonomous social media bots, with the a single purpose — shill a certain coin in an attempt to create market movement around it. Naturally, this is a lot harder to prove, but you don’t need to dig far in order to find evidence of bot farms being used to shill a certain project. For instance, take a look at Twitter’s #LUNC hashtag. There are thousands of accounts, some big, many small that all say essentially the same things: LUNC to reach $1, LUNC will make everyone rich, Like if you believe in LUNC. Just to be clear, LUNC will do no such thing, as it’s a dead project. Yes it will occasionally pump, but that will most likely be the result of organised pump and dumps or shills just like the one above. To sum up: The is a significant amount of market manipulation in crypto. The main actors are: Global Banks and financial institutions, Notable public persons, Influencers, Shills and pump and dump groups. Anyone who can manipulate the market for their own personal gain, will probably do so. People are emotional beings, therefore the market reacts to emotional news. Next time you see come across a piece of information that compels you to act in a certain way, whether bullish or bearish, stop and ask yourself: Is this FUD or FOMO? Would this be interpreted by the general population as FUD of FOMO? Is this likely to be widely circulated? Does it use emotional language or is matter-of-factly? Is it written in a way that it almost compels you to act? These questions may help avoid market traps as well as allow you to predict if / how a market might react to the news that just broke, allowing you the freedom to play your own way.

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Funding the United Nations: How Much Does the U.S. Pay? | Council on Foreign Relations
by Gunnar Larson 18 Dec '22

18 Dec '22

This is so much bigger than FTX. Plus, most of this money runs through a bank with five felonies. Do you think the sixth felony is probably happening right now? https://www.cfr.org/article/funding-united-nations-what-impact-do-us-contri… The United States remains the largest donor to the United Nations. In 2020, it contributed more than $11 billion, which accounted for just under one-fifth of funding for the body’s collective budget <https://unsceb.org/fs-revenue>. That was despite President Donald Trump’s efforts to cut funding as his administration prioritized sovereignty over globalism <https://news.un.org/en/story/2018/09/1020472>. His administration argued that the United States incurred disproportionately large costs and that UN programs contradicted the administration’s policy stances. President Joe Biden has affirmed the United Nations’ importance to U.S. foreign policy and increased funding to the organization. How is the United Nations funded? All 193 members of the United Nations are required to make payments to certain parts of the organization as a condition of membership. The amount each member must pay, known as its assessed contribution, varies widely and is determined by a complex formula that factors in gross national income and population. The World This Week A weekly digest of the latest from CFR on the biggest foreign policy stories of the week, featuring briefs, opinions, and explainers. *Every Friday.* Email Address View all newsletters > <https://link.cfr.org/join/66n/signup&hash=2d4c5929e9e04cc42f5cd375fb8dcfb1> These mandatory contributions help fund the United Nations’ regular budget, which covers administrative costs and a few programs, as well as peacekeeping operations. In 2020, the United States paid for 12 percent of the regular budget and 26 percent of the peacekeeping budget. Assessed dues also finance other UN bodies, including the International Atomic Energy Agency and the World Health Organization (WHO) <https://www.cfr.org/backgrounder/world-health-organization>. Members may also make voluntary contributions. Many UN organizations, such as the United Nations Children’s Fund (UNICEF), the Office of the United Nations High Commissioner for Refugees (UNHCR), and the World Food Program (WFP), rely mainly on discretionary funding. More From Our Experts James M. Lindsay <https://www.cfr.org/expert/james-m-lindsay> Ten Most Significant World Events in 2022 <https://www.cfr.org/blog/ten-most-significant-world-events-2022> Inu Manak <https://www.cfr.org/expert/inu-manak> Visualizing 2023: Trends to Watch <https://www.cfr.org/article/visualizing-2023-trends-watch> Miles Kahler <https://www.cfr.org/expert/miles-kahler> Global Governance to Combat Illicit Financial Flows <https://www.cfr.org/report/global-governance-combat-illicit-financial-flows> Funding the UN: Assessed and Voluntary Contributions

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