You need to stop and read this again… Warren Buffet’s final words of advice from his very last annual letter 🥹 "One perhaps self-serving observation. I’m happy to say I feel better about the second half of my life than the first. My advice: Don’t beat yourself up over past mistakes – learn at least a little from them and move on. It is never too late to improve. Get the right heroes and copy them. You can start with Tom Murphy; he was the best. Remember Alfred Nobel, later of Nobel Prize fame, who – reportedly – read his own obituary that was mistakenly printed when his brother died and a newspaper got mixed up. He was horrified at what he read and realized he should change his behavior. Don’t count on a newsroom mix-up: Decide what you would like your obituary to say and live the life to deserve it. Greatness does not come about through accumulating great amounts of money, great amounts of publicity or great power in government. When you help someone in any of thousands of ways, you help the world. Kindness is costless but also priceless. Whether you are religious or not, it’s hard to beat The Golden Rule as a guide to behavior. I write this as one who has been thoughtless countless times and made many mistakes but also became very lucky in learning from some wonderful friends how to behave better (still a long way from perfect, however). Keep in mind that the cleaning lady is as much a human being as the Chairman." And then today, his last letter to shareholders as chairman…

On July 25, we hacked OpenAI. Two bugs let us take over ChatGPT/Codex accounts of OpenAI employees (+some unaffiliated users) and reach connected services: Outlook, Slack, GitHub, etc. We proved it with a PR in OpenAI’s internal codebase . It took us <72h. 🧵

OpenAI's Noam Brown says air-gapping the computers may not stop a misaligned AI, because two air-gapped machines can still talk by running a CPU hot and reading the temperature change "But I think the major takeaway from the incident is that people underestimated the AI. And we never want to be in a situation again where we underestimate the AI. It's a weird world, because AI progress is so fast that people are consistently underestimating the AI." "So to be in a situation where you don't underestimate it again, when it comes to safety and alignment, you have to have a very, very, very high bar." "You could even go as far as to say, "Well, we should air gap the computers." And I'm not convinced that that would be sufficient." "There are studies, and this is mostly academic, where you can have two computers next to each other that are air-gapped and they're still able to communicate with each other because they have temperature sensors." "One of them is able to run their CPU really hot, and then the other one can actually detect the temperature change, and then that actually gives them a mechanism to communicate." _________ Link and more key quotes from OpenAI's safety related conversations:

Most people are wrong here. It IS actually possible to communicate between two airgapped computers with temperature changes, but the data transfer rate is too slow (1-8b/hr) to be effective. The underlying point Noam makes is true though: there are a deluge of crazy airgapped comms techniques like EM emanations from DRAM clocks that get a lot faster (300kbps). This isn’t sci-fi. We vastly underestimate what AI can do with perfect knowledge of all of this literature.

Stanford Prof. @chrmanning says universities are losing AI professors to frontier labs because they still fund computer science like it’s 2005, when a laptop was enough: "Universities have just been too flat-footed in dealing with the way the computing and AI world has changed. There are really two problems." "Over the last couple of decades, universities have become enormously more bureaucratic and administrative, and that makes them a less good research environment than they used to be in the 20th century." "Universities got used to this nice period around 1990 to 2010, when computer scientists needed barely any money for their research. You bought a laptop or a PC, and it was fine. The reality now is that computer scientists, particularly in AI, need a lot of money." "It's established that if you're hiring a new faculty in physics or chemistry, you need some millions of dollars, but it hasn't trickled down that people in AI need that too. There are too many professors leaving academia." "Stanford made a start with the Marlowe cluster of 256 H100s. That's an okay baby step, but there probably needs to be about 10 times that much." @stanfordnlp @Stanford