CW @StillCodinnw

China is a huge threat, having already compromised the US government. Here you can find their flag outside a congressional office

Secretary of War Pete Hegseth @SecWar

a day ago

The War Department has designated Confucius Institutes as a threat to our national security.

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Dear Secretary Bessent @SecScottBessent, My name is Everett Stern. In 2010 I was a compliance officer at @HSBC. From a back office in New Castle, Delaware, I watched billions of dollars move to drug cartels, sanctioned regimes, and terrorist organizations. The enemies of the United States. I documented it, I escalated it, and when the bank would not act, I took it to the @FBI, the @CIA, and eventually the @SECGov. The result was a $1.92 billion settlement. At the time, it was one of the largest in American history. It was also about five weeks of the bank’s profit. Not one banker was charged. Not one went to prison. I paid a different price. I lost my career, my savings, and my place in the industry I had trained for. I was blacklisted. Every door in American finance closed at once. I slept on a camping cot in a 300 square foot apartment because I could not afford a bed, and I waited tables at @PFChangs to eat. I tell you this not for sympathy, but so you understand that I know exactly what it costs to do the right thing in American finance, and exactly how little the system does in return. I made that sacrifice because I believed it would change something. Yesterday, your department fined @BankofAmerica $1.2 billion for failing to report more than $5 billion in suspicious transactions, some of it tied by your own findings to Chinese laundering networks, narcotics, and the southwest border, alongside 475 apparent sanctions violations touching Russia, Iran, and global terrorism. The bank admitted it willfully violated the Bank Secrecy Act. Fourteen years after HSBC. A bank with “America” in its name. And once again, not one individual charged. Secretary Bessent, I want to say plainly what I believe you already know. The fines are not working. A fine is paid by shareholders, absorbed by the balance sheet, and forgotten by the next earnings call. Bank of America reported earnings this morning. Nobody who set the alert thresholds, nobody who decided the 2024 cease and desist could wait, nobody who chose the backlog over the law will lose a single thing they value. Their lives are untouched. That is the entire reason the behavior repeats. This is money laundering. This is blood money. Money that reaches a cartel buys fentanyl that kills Americans. Money that reaches a terrorist organization buys the next attack. This country has fought a war on drugs and a war on terror for decades, at enormous cost in lives and treasure, and all the while we have allowed the financing to flow through institutions we charter and regulate. Cut off the money and we win. We have never seriously tried. There is also a question of equal justice that I cannot let go. Before I walked into the FBI building to report HSBC, I stopped in front of the Great Seal on the wall and read the words engraved beneath it: “Justice is the defense of our liberty.” I believed that. I still want to. But every day in this country, people go to prison for crimes that are nothing next to moving money for the people who want Americans dead. A suit, a title, and a corporate badge should not be a shield from the consequences that apply to everyone else. If a street dealer goes to prison for what he sells, the banker who moved the cartel’s money should be standing next to him. I also want to raise something that is rarely said in these conversations. Why has no one inside Bank of America come forward the way I did? The answer is that everyone in American banking knows what happened to me, and to the whistleblowers who came after. The last person who spoke up is the only policy anyone believes. That is a culture problem, and it starts with leadership, in the banks and in the agencies that regulate them. This is not a political issue. It has spanned administrations of both parties. It is a national security issue, and I am asking you to treat it as one. Three things would change the math overnight. Refer individuals for criminal prosecution. Not the analyst in the queue. The executives who set the thresholds and chose the risk. One banker in handcuffs would do more than every fine in Treasury’s history combined. End “too big to jail.” An institution cannot be too big to fail and too big to jail at the same time. If it is the first, it must be held to a higher standard, not a lower one. And if Bank of America will not act as America’s bank, review its charter. A national charter is a privilege granted on behalf of the American people. It should be conditioned on not moving money for the people trying to kill them. Secretary Bessent, you said yesterday that these actions send a clear message that even the biggest institutions are not above the law. With respect, the institution was never the problem. The people inside it are above the law, and they know it. Until that changes, I will keep writing letters like this one, and the next bank will keep paying the next fine. I gave up everything I had to stop this. I am asking you to use the power you have to finish it. Respectfully, Everett A. Stern HSBC Whistleblower Founder and Intelligence Director, Tactical Rabbit

No one went to prison. No home confinement. No DPAs. No one was even charged. Water under the bridge. Onwards!

Coin Bureau @coinbureau

2 weeks ago

🇺🇸 BREAKING: Bank of America has been fined $1.2 BILLION by the US government. The bank failed to flag over $5 BILLION in suspicious transactions, the Treasury says. The missed transactions were linked to suspected Chinese money laundering networks and illicit finance around

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Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

Andrej Karpathy @karpathy

7 months ago

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is

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Dear Prime Minister Ambani, Please accept my humble apologies for not realizing that you are the real boss of India. Naturally, you would prefer to maintain your monopolistic exploitation of the great people of India, but would you nonetheless consider allowing Starlink to compete? There are many areas of India, as there are in all countries, with no Internet access, which denies children the opportunity for education and for small businesses the opportunity to sell their goods to a global market. Starlink would change their lives for the better. Thank you 🙏

Indonesia can you control your forest fires?? WE CAN'T BREATHE!!! OUR KIDS CAN'T PLAY OUTSIDE!! - sincerely a fed up Singaporean

🚨 Adobe 天塌了，全套Adobe软件，开源实现： getartcraft.com/apps

北京舞蹈学院国庆演出，酷毙了，敦煌神韵，大唐风采。

彭丽媛早年在家里的专访视频，大谈自己的感情生活和业务爱好，习大大在6分39秒出镜，并且还亲自下厨露了一手，夫妻俩都非常的亲和接地气

镜头罕见的捕捉到王毅在克里姆林宫，等待普京出现前的表现，时长大约两分半钟。

We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks: Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better: Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better: Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better: Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work! In summary: - As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding. - Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.