The Inverse Care Law. The people who need medical care the most tend to get the least access.
It will take deliberate and extensive efforts for medical AI not to exacerbate health inequities, by @ejosipcar We've seen some examples where AI reduced inequities and need to build
INNOVATION
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Inverse Care Law: Medical AI risks exacerbating health inequities
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AlphaProof Nexus solved 9 open Erdős problems and proved 44 OEIS conjectures
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Google DeepMind's AlphaProof Nexus autonomously solved 9 open Erdős problems, some unsolved for 56 years, at a cost of a few hundred dollars per problem. It also proved 44 open OEIS conjectures, resolved a 15-year-old question in algebraic geometry, and discovered a novel
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DeepSeek’s unconventional MoE strategy for long-term success
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A fascinating deep dive into DeepSeek reveals a brilliantly unconventional strategy. They are completely ignoring standard industry trends. Instead of fighting for short-term multimodal profits, they are looking ahead. They use radical frameworks like MoE to absolutely crush
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AI Will Bring Expertise, Users Bring Intent
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People think they need to learn how to use AI before it can help them. That may be true today, but it'll be a wrong assumption in a year or two.
You won't bring the expertise. The AI will. You'll bring the intent.
Want to set up your smart home? You used to need to know what to -
Neurosymbolic work by Swarat et al for Erdos, more quantitative than OpenAI
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neurosymbolic by @swarat et al for Erdos's victory, with much more careful and quantitative work than OpenAI's in hindsight, I wonder if OpenAI rushed the release of theirs, knowing that this was coming?
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Exploring Challenges and Benefits of Neuromorphic Computing
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Challenges and Benefits of Neuromorphic Computing by @antgrasso #EmergingTech #Technology #Innovation
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Nine more Erdős problems solved by Google DeepMind
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Nine more Erdős problems have been solved. This time, however, by Google DeepMind. This shouldn't be underestimated, because on the one hand it increases competitive pressure, and on the other hand it proves that the other Frontier Labs can easily keep up.
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300K AI Builders Share Hardware Profiles on Hugging Face
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300,000 AI builders filled their hardware profile on @huggingface and we're sharing the results: http://
hf.co/hardware. Excited to see how it evolves in the coming months especially with the explosion of local AI! -
Dan Shipper’s prediction on Claude Code proved accurate
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Automation is a lie. CLIs are over. The SaaSpocalypse is dumb. A year ago @danshipper came on the podcast to predict where AI was heading. He was remarkably right—including the call that everyone was sleeping on Claude Code. Dan has a unique lens into where things are going
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AI Programming in Azure HPC Pipeline at Scale
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That's AI programming in Action! Applied to Azure HPC pipeline using infrastructure loop, parallel processing, and optimized cloud pipeline to gain performance at scale! Not just math!