Professor at NYU & Executive Chairman at AMI Labs.
Ex-Chief AI Scientist at Meta.
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
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@simpforasi@mark_k@AnthropicAI I absolutely never said "LLMs are and never will be serious"
I have said " LLMs are useful, but we will never get to human-level intelligence by merely scaling them up"
This ugly reality is staring us right in the face:
Americans will have walled AI gardens where we beg for access from a few East India companies, open source will get banned on national security grounds, and 6 billion people who aren't American, aka the rest of the world, will standardized on a Chinese AI stack.
Bloated. Broken. Slow. Ugly.
There's still time to change it but it's slipping through our fingers like fast running sand.
Read this passage below from Bill Gurley because it's about to become our hideous reality if we don't change course quickly.
"If a credible Western open frontier player does not emerge, the consequences cascade quickly.
This is the inverse of the early Internet wave. In the 2000s and 2010s, Western companies — Google, Facebook, Amazon, Apple, Microsoft — dominated globally while China carved out its own walled garden. The AI version flips that dynamic on its head. Without a credible Western open frontier player, the only open models capable of running entire economies are made in China. If U.S. policy further restricts Chinese open-weight access on national-security grounds, the U.S. ends up with two or three closed Cathedrals serving the U.S. market — and the rest of the world picks the AI stack that is free, capable, self-hostable, and not embargoed. Europe, Africa, Southeast Asia, Latin America, India, the Middle East. Roughly six billion people. Chinese open models become the global default by 2030, and the United States ends up technologically isolated from the majority of the world’s AI users. We would have done it to ourselves."
Fully essay in replies.
Like when there was an export control on computers above 1 GFLOPS and when the Sony PlayStation-2 came out in 2000, it was above the limit 😅
https://t.co/MapuQUvMsw
BREAKING: In a stunning moment, Donald Trump's former economic advisor just admitted on Fox News that inflation is being driven nearly exclusively by bad decisions that Donald Trump has made. Wow.
Our lineup of speakers is growing! Many more to be announced.... and don't forget to submit your papers, deadline is very soon! More info at https://t.co/ux6MFRVd4t and submission page at https://t.co/yAmupEqYIs
Together with UC Berkeley we are announcing the laser phase plate - a breakthrough in atomic resolution imaging. This is the brightest continuous wave laser in the world, 100 million times the intensity of the surface of the sun.
Phase contrast plays an important role in microscopy, but it was thought close to impossible for electron microscopy, where it would require interfering with an electron beam. Holger Mueller and Robert Glaeser proposed exactly this using a standing wave laser. It has taken over 15 years to make this a reality. Biohub partnered with UC Berkeley and Mueller to support this work and to engineer and build the technology.
Contrast has been the critical barrier to achieving atomic resolution imaging of the cell. In cryo-electron tomography, a cellular imaging technology that uses electron microscopy, the low contrast makes it impossible to resolve anything but the largest proteins within their cellular context. The laser phase plate removes that barrier.
With advances in AI this breakthrough in contrast will start to open up a new frontier in structural biology, that will allow us to see the molecular machines of the cell, and how they assemble into far more complex and dynamic systems, and understand how they work.
My team loves Claude from @AnthropicAI . But this new policy of retaining prompts and usage is a red line...we simply can't give over our usage. Prompts contain our IP; literally all our design files and docs. Why would this ever have been ok?
It's sad because everyone was looking forward to using the new model. Sigh.
TLDR:
1. Declare AI too dangerous for ordinary competition so you propose a regulatory regime where only the largest incumbents can survive
2. Warn about labor displacement while selling the product to executives as a labor-displacement tool
3. Warn about state overreach while asking the state to license and gatekeep frontier models
4. Warn about corporate power while sketching a corporate-state cartel over compute, release, security, export controls, and deployment