Good evening, everyone! It is 10 PM again, so let's dive deep into the latest notable papers. Today, I have carefully selected two papers that are opening up frontiers in AI and data science: an ...
Recursive has released Flint, an AI model for local coding agents. Drawing on the model card and vLLM implementation notes, we look at how its sparsely activated MoE design, 4-bit quantization, and ...
Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system, as an ...
Recursive launches Flint, a 40B open-weight coding model that runs locally at 125+ tokens per second on a MacBook Pro with no ...
Excel isn't useless here, either. Poking one number and watching everything move is instant, and Excel's own Python in Excel ...
Google open-sourced Harness2, a recursive agent harnessing framework that lifted GLM-5 11.5 points on WorkBuddy-Bench with ...
It started with the recurrence relation function on the Casio FX-GC100 graphing calculatorSince a recurrence relation is ...
We introduce Multi-Agent Self-Supervision (MASS). One shared model solves tasks through a team of virtual subagents, searches for better multi-agent workflows, then uses its own judgments to select ...
Want to bookmark your favourite articles and stories to read or reference later? Start your Independent Membership today. It is, perhaps, the ultimate promise of artificial intelligence: AI systems ...
“Recursive self-improvement” is the idea that artificial intelligence could learn to build and train itself, creating exponential new progress — and risk. Jeff Clune, a computer scientist and ...
How do you get from a chatbot that sometimes makes things up to a machine that humans might struggle to control? There are several steps in that argument, and plenty of uncertainty. But an idea known ...
The US-China race for artificial intelligence dominance has entered a new phase: using AI to build better AI. Leading AI companies in the United States and China are increasingly focused on deploying ...
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