Daily AI research briefs: LLMs, multimodal models, agents, RL, safety, and summaries with links and takeaways.
AI looks brilliant in demos. In Apple’s test, it struggled when things got hard. Sounds bad, but something else changes the story.
An AI that won the 2024 Nobel Prize has transformed protein structure mapping, producing detailed blueprints of millions of shapes in two years. This breakthrough allows drug development teams to pinpoint key target areas and avoid dead ends, significantly advancing the field.
DeepMind’s AI made LIGO 100 times more sensitive, unlocking new insights into black holes and neutron stars. Learn how they tuned the universe’s quietest instrument to hear deeper.
Microsoft and Nvidia are teaming up to invest in Anthropic, to form a powerful multi-billion dollar AI triangle. Here’s how the deal works, and why all three are leaning into this structure.
Nvidia introduced Nemotron 3 as open AI competition heats up. The model family targets agent workflows with long context and higher throughput. Nano ships first, with Super and Ultra planned for early 2026.
NVIDIA and Eli Lilly are building an AI drug discovery loop with $1B. It links wet labs and dry labs for 24/7 iteration. They are betting on speed, data, and fewer dead ends.
Game Boy Pokémon exposes the gap between intelligence and agency. Models can explain the strategy, then fail to execute it for long stretches. Watch long enough and you see the real problem: persistence, not knowledge.
Nvidia’s new open models aim to replace slow, costly weather simulations with faster AI. You can expect 15-day forecasts, storm nowcasting, and local refinement, with data assimilation planned later this year.
Nvidia is in talks to invest up to $30 billion in OpenAI as part of a massive funding round that could value the AI company near $830 billion.