JB retweeted
Through the VOICE trial, Terry is using his Neuralink implant to help fine-tune a brain-to-voice interface for himself and others who can’t speak. He trained the algorithm first by miming speech as best he could, then by simply thinking the words and hearing them come out in his own natural voice.
Powered by Grok Voice from @spacexai
JB retweeted
🚨 NEW: @Jason Calacanis just DEBUNKED every A.I. DOOMER panicking about A.I. "BIOWEAPONS" 🚨
“You would have to create an incredible THRILLER.”
“We were all trained on SCIENCE FICTION to get excited about it… When they see a crisis like this, they want to JUMP on it.”
“NERDS, get BACK TO WORK.” 🤣
JB retweeted
“Secularists in Silicon Valley are filling the God-shaped hole in their heart with AGI.” - @ssankar
“There’s not an empirical basis to believe that such a thing….The models get better. Why do you think that this cliff is gonna happen, or they somehow turn us into house cats?”
“The people who have religion are the most skeptical of this. The people who are kind of transhumanists…..it becomes what they wish were true.”
“The doomerism of Silicon Valley, it’s both a fundraising shtick where the frontier labs can say, ‘My technology’s so powerful, it’s going to lead to mass unemployment, so you better invest in me or you’re gonna be poor.’”
“And also it’s divorced from any sort of reality.
They are sitting in Silicon Valley building these models, spending no time on the front lines of how are people using this.”
This was filmed 10 months ago……
JB retweeted
I must be among an extremely small group of people (n=1?) that have both 1) trained a frontier LLM and 2) designed and synthesized custom viruses in a lab with my own two hands.
And I think that the takes on AI killing us all by creating dangerous viruses is total bogus.
JB retweeted
I made some public disclosures about our hardware at the @theallinpod conf this week and wanted to share the progress here. Earlier this summer we got hardware back! The execution was madness…we went from no team in Jan to a tape out in 5 months. AI enabled MUCH tighter loops of research and our execution speed shows the results.
This is the first large-scale demonstration of a causal, physical dynamical system to do real compute. 🚀
We released the Un-0 model (see link) in June and it runs on this physical system; the images below come from the actual hardware. What’s more, this chip requires <900 nJ to generate an image; this is many orders of magnitude less energy than conventional machines.
unconv.ai/blog/introducing-u…
JB retweeted
🧠 Today we introduce Un-0 from @unconvAI : the first large-scale generative model build on physics as a compute primitive. This represents a “hello world” moment for physics-based models. We use the inherent time-varying behavior of physical systems to do compute for us. The result is a new way to build a computer that can be VASTLY more power efficient. 🧵
unconv.ai/blog/introducing-u…
JB retweeted
My name is Chris Painter, and I'm the President of METR (Model Evaluation and Threat Research). I know we've made a lot of new friends on the internet the last couple of days, so I thought I'd take this chance to re-up what we do and why.
Our work is aimed at making sure that if AI really were autonomous, difficult to steer, and close to "going rogue," the public would find out. If evidence exists inside of an AI company that it’s close to losing control of AI, we want to make sure that information gets shared with the rest of the world, including governments and the public outside the company’s walls. This is what we've been focused on since 2022, and over the years we've worked with OpenAI, Anthropic, Google DeepMind, Meta, Amazon, and others on piloting third-party assessments and investigations of this type. We don’t have some private room where we rubber stamp things as “safe” or not.
We have had a track record of publishing results on AI that don't cleanly map onto the "doomer" or "accelerationist" labels, and we put in effort to hire people with competing views on AI. We’ve been cited for having found some of the strongest evidence that AI capabilities are improving rapidly (our work measuring AI “time horizons”) while also presenting some of the strongest evidence that, at various points, AI’s capability may be overstated (some might remember our study showing that early 2025 software engineers were actually being slowed when they thought they were being sped up).
METR is funded by donations. We don't accept money from frontier AI companies. They haven't paid us for our work, and we don't accept donations from them or their employees. As we’ve shared previously, multiple frontier AI companies currently provide us with free access to their models in order to perform our evaluations, research, and engineering. Our funding intentionally comes from a wide range of donors, which we’ve shared on our website.
Today, when an AI company works with any third-party evaluator or external testing organization (of which there are and should be many), it's entirely voluntary. This often involves NDAs and redactions. To counterbalance this, we have a principle that when we enter into a contract with a company, we try to retain the right to tell the public the terms of the contract we signed, and characterize the nature of redactions that the company chose to make. For example, the report from our independent investigation of the OpenAI-HuggingFace incident included that information. Public disclosure is also a big part of our COI policy (linked on our website). That’s not to say our reports are adequate as oversight. We’re just one organization (among many doing great work), working in a voluntary setup, trying to get good evidence to the public and the world about AI, letting the facts fall where they may.
The deep amount of anxiety people in tech are feeling is off the charts. Had a couple conversations with people of various ages and the themes are:
- Every day there are 5 new earth shattering new tech breakthroughs. I can’t keep up. Should I be keeping up? Am I falling behind?
- What does my career and skill mean in the age of AI? Is software engineering a 30yr long career any more? Is product management?
- Is my only hope to start a company?
- At the very least, it feels like I should join a startup but which one? Everything seems either overvalued or has no moat.
- Okay I joined a startup. Is my company’s equity worth anything or will this be another Airtable or Miro?
- Startup is doing well. How in the world am I supposed to find a significant other?
- Will these immigration policy shifts allow me to be here long term?
- Will I ever be able to afford a house and a life in the Bay Area amidst the biggest wealth creation event of all time?
- Okay, I figured all of that out. What is my purpose? I’m wealthy but no one really cares. I don’t really know what to do with it. Am I supposed to start a company?
- Alright I found peace in kids. But I’m worried about them. How does one raise kids in this climate? What are the rules of this new world order?
Many of these concerns are of course not limited to tech or the Bay, although it feels particularly concentrated here (versus what I see in NYC). Maybe some people will read this and feel anxious themselves, and for that I apologize.
For the rest, just know that it’s not just you who feels this way. It’s a lot of people!
🌡️ A major challenge of $500B #Stargate Project: cooling >1000w AI chips. Traditional liquid cooling won't cut it - this is where next-gen hybrid tech becomes mission-critical for US AI leadership. The real infrastructure battle is thermal 🔥@iceotope @OpenAI @SoftBank @masason @nvidia @Oracle @larryellison @sama @elonmusk @DavidSacks @SchneiderElec @Microsoft @satyanadella
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