For everybody that “humans are conscious and intelligent, AI is not”
It’s hard to imagine there are people who “oppose” or “hate” Mr. Musk. Sometimes he goes a bit crazy but… seriously? Especially American politicians…. What have you done for the people?
Worst possible news. Heartbreaking
In lieu of flowers, memorial contributions may be made to:
Johns Hopkins Alzheimer’s Disease Research Center Fund
alzresearch.org/giving/
Alzheimer’s Foundation of America Caregiver Resources
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Photo Credit: Tommy Garcia
So many colleagues in academia are in the camp“AI can’t reason”, “it’s not intelligence”. They remind me of WW2 warriors stranded on the islands…
Today, in collaboration with Anthropic, we’re excited to share rapid initial progress towards an antibody treatment for food allergy, which affects over 200 million people worldwide, discovered with the help of Claude.
At Divergence Labs, we believe that AI can unlock the next generation of antibody therapeutics with more effective mechanisms than before. Such mechanisms are urgently needed in food allergy, which involve overcoming one of the tightest affinity protein pairs in immunology, IgE and its receptor FcεRI, on mast cells.
Treatment with Xolair—the only approved antibody for food allergy—sequesters circulating IgE, but mast cells remain sensitized for weeks to months due to the extraordinarily slow dissociation of IgE from FcεRI.
We envision a treatment that actively pulls IgE off of FcεRI, without waiting for natural dissociation. Like picking a lock, this requires the right combination of geometry and force.
Our research team, working with Claude, ideated on mechanisms to accomplish this disruption, and converged on an antibody format with two arms with different functions and epitopes. Within one month, we designed, synthesized, and experimentally confirmed the biophysical function of the two arms, which we are now assembling into full therapeutic formats.
Now with this I hope the community stops worrying about AI slop. Conferences with human participants need to focus on subjective insights and opinions. This is a massive transition for the Scientific Method
AI is now taking on some of the hardest open problems that scientists have posed. But research is broader than solving problems. Can AI also propose research questions that experts find genuinely interesting?
We built After42 to find out. Experts judged 45 of its 135 final questions genuinely interesting, across mathematics, statistics, theoretical computer science, and physics, with wide variation across subfields.
The key idea: develop questions by trying to solve them.
We also asked whether AI can judge which questions are interesting. We find that model judges' top choices align with expert consensus but do not consistently capture individual experts' preferences.
We release the expert-assessed questions as an open resource for researchers to discuss, refine, and pursue, as a step toward integrating AI into the broader research enterprise.
after42.org
No presentation should be given without prior feedback from LLM. It’s a mistake to avoid free, high quality feedback. Soon people who do so will be mocked.
Up to now all presentations I saw were very well presented and formatted, but all were also heavily prepared with the help of LLMs. I feel like we are loosing the nuances of each individual, what makes us unique, including our imperfections. #EMNLP2026
Apparently this is a minority opinion. @emnlpmeeting Papers and review have an objective and a subjective part. I think the objective will be ruled by AI. Panels will condemn“human slop”. We should focus both paper and reviews on subjective opinions. The rest is AI
This is well said. Also the key now is short distance between customer needs and implementation. Lean orgs make that easier
Mark Zuckerberg explains why he thinks Elon Musk got it right when he cut 80% of Twitter's staff:
"Elon led a push early on to make Twitter a lot leaner. You can agree or disagree with exactly all the tactics, but a lot of the specific principles that he pushed on around basically trying to make the organization more technical, around decreasing the distance between engineers of the company and him, fewer layers of management, I think those were generally good changes"
"I also think that it was probably good for the industry that he made those changes because my sense is that there were a lot of other people who thought those were good changes but who may have been a little shy about doing them"
"Just in my conversations with other founders and how people have reacted to the things that we've done, what I've heard from a lot of folks is when someone like you, when I wrote the letter outlining the organizational changes I wanted to make back in March and when people see what Elon is doing, that gives people the ability to think through how to shape their organizations in a way that can be good for the industry and make all these companies more productive over time"
"That was one where I think he was quite ahead of a bunch of the other companies on. Certainly his actions led me and I think a lot of other folks in the industry to think about, hey, are we kind of doing this as much as we should? Could we make our companies better by pushing on some of these same principles?"
If you're new here, @GeniusGTX is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content.
Even with all the caveats this is interesting and should cause universities to rethink how they can best help students land a job. The study period is like ages ago in AI time, some that trend may have continued. Lots of opportunities for non STEM here. anthropic.com/research/emplo…
From software engineering to AI, eval practices don’t transfer easily.
Building a free course is for my students, open to all, and looking for feedback. Interactive examples, no stats needed.
reliableai.github.io/ai-read…
Let’s spread a little kindness.
I built Kindifier, an open-source experiment that uses AI to make emails kinder while aiming to preserve their meaning.
Take a look—I’d love your feedback:
github.com/reliableai/kindif…






















