robot accelerationist @mecha_corp. founded @apolloaiapp (acquired by @liquidai).

San Francisco, CA
A bicycle for the mind.
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Aaron Ng retweeted
B b banger from b b Beethoven
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Alexandr Wang is a damn good poster. Who knew?
“they’re eating up the booty muse and the tamagotchi. now drop another enterprise b2b saas integration”
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Aaron Ng retweeted
Aaron Sorkin inadvertently inspired a generation of tech entrepreneurs by mischaracterizing Zuck in the Social Network. Now he’s going to inadvertently inspire a generation of free speech absolutism by mischaracterizing Zuck in a garbage sequel. The final gasps of an old elite.
First clip for Jeremy Strong as Mark Zuckerberg in ‘THE SOCIAL RECKONING’. In theaters on October 9.
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Looks like Google is about to drop something?
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earl grey, hot
computer (Astra) lights on please. this may be the most extensively detailed & accurate 3d scene ever created by an ai. 400+ hours of Astra
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Aaron Ng retweeted
FYI with all of the Lucas Museum discourse this -- THIS -- is what he designed for the Presidio. Yet they called it "problematic" and that he was being "inflexible in his design vision" the reality is that someone didn't like Lucas and used their position of power to block hundreds of jobs and what easily would have been a top attraction for all of those living in and visting san francisco
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We have a few contract roles open at @mecha_corp for mechanical engineering and electrical engineering work. Reach out if you've got experience with either. We want people who know their craft well but also know how to use AI to accelerate their work. DMs open.
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Today, we’re launching an ambitious new school called The Horowitz Andreessen Academy. Based in San Francisco, The Academy serves the most promising young high school graduates. We think this can be an elite institution that attracts top tier talent. One that prepares students for the future rather than remaining stuck in the past. The #1 goal is to help students learn to build, which is the most important skill in the AI era. They'll learn primarily by pursuing their own projects, either individually or in groups. There are classes and guest lectures, too, from some truly amazing people who have built modern-day Silicon Valley. The Academy is designed as a network, since that’s the reason students go to school in the first place. Core to that network are our 10 Founding Partners: Anduril, Anthropic, Coinbase, Google, Meta, NVIDIA, OpenAI, Palantir, Replit, and Stripe. The network includes over 50 hiring partners and over 200 speakers and mentors. To join as a hiring partner or faculty member, you can apply on our website. We raised $42M in funding led by @a16z. I'll be CEO and @pmarca and @eriktorenberg will join me on the board. Applications are open for our Founding Class Fellowship, which will be one year and tuition-free. Eventually, pending regulatory approval, we plan to offer a two-year program that charges tuition, similar in cost to an elite private university. We're looking for the most unusually ambitious young builders on the planet. Come join us in San Francisco: theacademysf.com/
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Software engineering is verifiable, which makes it easy for AI. On the other hand "tasteful" things are brought into the mainstream via tastemakers from niches. By the time you think "it's what people will think is good" you're already at the tail. Very different problem.
HN drops truth-bombs.
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Facebook's dream come true: a product compelling enough for us to allow full email, finance, and browser access to.
muse for mac is HERE!! your agent can now get stuff done right on your computer — files, messages, calendar, notes, all of it. you're in control of what it can access, and it always asks before doing anything sensitive. Add it to the dock - ai.meta.com/muse/download/
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"two air-gapped machines can still talk by running a CPU hot and reading the temperature change" What are some other crazy ways for an AI to encode a message?
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: firesidealpha.substack.com/p…
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Fantastic. I'd bet there's a lot of "low hanging fruit" nobody has thought to throw Astra or Fable at yet. Hundreds or thousands of mysteries waiting to be solved.
GPT-6 Astra deciphered a 1918 German radio transmission that, to my knowledge, has never been deciphered before. The message below translates to: "EIN ENGLISCHER KREUZER EINLIEG X SEWASTOPOL X S4STEN X EIN GESCHWADER DER X ALLIIERTEN FOLGT 26STEN X" or, in English: "AN ENGLISH CRUISER ARRIVED AT SEVASTOPOL ON THE ?4TH AN ALLIED SQUADRON FOLLOWS ON THE 26TH" Astra even double-checked its work by determining that an English cruiser, HMS Canterbury, reported its arrival in Sevastopol on November 24, 1918 and the arrival of an allied squadron on November 26, 1918. This message is one of the ~20 WWI German radio messages that appear as one of the entries in the scienceblogs.de list of top 50 unsolved ciphers (scienceblogs.de/klausis-kryp…). A minor, but really cool result!
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Astra is unbelievably impressive. We’re at the start of a tremendous robot exponential.
GPT-6 Astra can solve some seriously tricky spatial constraint tasks: from unlocking interlocked parts to threading a rope through three rings. Try it yourself now 👇 qinengwang-aiden.github.io/d…
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Aaron Ng retweeted
The best way to pace the frontier is to hold the labs fully liable for the behavior of their models.
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a new era of robotics is imminent. we gave astra control of our older robot “spike” it built a harness around our locomotion policy, added computer vision, voice commands, and told us to just run it incredible what AI can one-shot now
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Aaron Ng retweeted
AI will cure cancer and it will kill us all are not contradictory positions, they are both rhetorical methods to make the exact same argument: the future is defined by AI. You are a satellite revolving around the AI sun, at best. These undefined prognostications of future omnipotence distract from accountability in the present. This rhetoric has two effects 1) it distracts from today’s upside down value capture versus value creation equation 2) it forces a psychological centering of AI and AI companies at the expense of humans and the rest of the world’s institutions. Any technology’s utility is a function of our ability to control it, not its raw hypothetical power without controls. Chemotherapy requires precision to kill cancer and not kill a host. Nuclear reactors are defined by their controls more than the reaction itself. That a given technology’s utility is bound by the precision of its controls was Palantir’s fundamental insight at its inception: the amount of security the US government can guarantee its citizenry is defined by how much it can guarantee rights to privacy more so than the raw capability to identify threats. If you do not enhance both privacy and security, your product is a toy. AI is not the first technology that couples control with utility. In the present, the models are voraciously consuming knowhow like a parasite eating its host until both die. Every company I speak to is sprinting to control a spend:outcomes ratio that exploded on them before they could learn how to govern it. They are observing their intellectual assets eroding like a sand castle into the ocean. They are stuck between being upside down on value leakage, yet being told they have no agency over their future. The inevitability of the arrival of a deity forces individuals to define themselves as a function of that deity. Nobody wants to be that luddite who tells you the Wright Brothers will never fly. Nobody wants to run Polaroid or Blockbuster. No young person wants to be a part of the permanent underclass. Forward leaning humans are psychologically berated into defining their skillsets and objectives as a function of AI. Their careers are lottery tickets. They define utility through how good they are at tickling a model. “Ride the exponential” is a mantra that allows you to be “good” in a moral sense, without earning it. If you dare to expose yourself as a luddite that is not getting results today, well that is a “skill issue,” or you simply aren’t using enough tokens. This propaganda pursues an inevitable centering of AI, with humans as peripherals. The only thing you have real agency over in the future? Using more tokens of course. I think if you are going to virtue signal about protecting our future, you should also own the implied vice that comes with your position. Prognostications of armageddon are inextricably linked with acceptance of the bad things that exist in the world today. 350,000 people die of sepsis in hospital settings in the US alone every year. Life expectancy in the US has flatlined over the last 20 years while healthcare spending per person has doubled. 30-40% of the food supply is wasted while 18% of households with children experience food insecurity. 19.5% of drinking water is lost in transit to consumers. A significant portion of the world’s energy supply is threatened by a fanatical regime because the strait of Hormuz is still contested. Putin’s death machine continues to slaughter Ukranians every single day as technological efficacy literally defines meter over meter of protected or conquered land. The CCP has 230 times the shipbuilding capacity of the United States and the implied ability to control the world’s commerce and security. $1.7 trillion of excess, unproductive working capital is locked up in the top 1000 companies in the US, capital that is not producing goods and services for every day Americans. Americans paid over $250 billion in credit card interest at over 20% APR last year and more than half of savers earn less than 3% interest on their savings. Real wages have stagnated, middle-wage workers real income is up only 6% since 1979 while low-wage workers are down 5%. We have a shortage of ~7 million homes in the US. 8.5 million acres burned in wildfires so far this year. As of year end 2025 2,060 gigawatts of generation and storage capacity were waiting for grid interconnects (double the capacity of the existing power fleet). I digress. We are making real progress against each of these miseries, and many more, because of the incredible progress in AI systems over the last several years. Perhaps ironically, success in all of these domains is a function of how precisely controlled the models are. For the cognitive labor humans know how to wield to achieve real world outcomes today, open source or off-frontier small models are already at parity for at least a plurality of use cases on a price/performance basis. Those customers reliably outperform the frontier when they incorporate their own proprietary data and decision traces. The most consistent pattern I see over and over again is real world use cases shrink their reliance on general purpose AI’s over time. They encode deterministic knowledge and/or post-trained models on smaller model footprints. It is empirically a wildly optimistic future with AI as an accelerant for the pluralistic, wonderfully diverse means of advancing the human condition against problems you can measure and make progress against today. We should also own that these horrible challenges persist because these systems are not yet good enough to fully solve them. They are worth improving. The bay area is abdicating responsibility for the world as it is today while claiming ownership of the world as it might be tomorrow. DC and our political leaders are polarizing into zero sum positions. These are the luxury beliefs of children. Build something people need today, at a price they are willing to pay when not pressured by the social herd, if you want the opportunity to do it again in the future.
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gpt-2 didn’t destroy the world o1 wasn’t too dangerous to release the jobs didn’t all evaporate
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yeah. everyone is going to suddenly stop developing the most important technology to ever exist?
I can tell you one thing: the entire world isn’t going to align to stop innovating.
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This is what "pacing the frontier" meant for nuclear energy in America vs. China.
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We should not be “pacing” the most important technology of our time. If anything we need to go way fucking faster.
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