Exploring AI Learning, the specifics of Large Language Models, including architecture, prompt engineering, fine-tuning, RAG, and their application in text-based tasks.
A quantum circuit can spend much of its budget remembering how to undo its own work. The new Claude quantum circuits research attacks that overhead. Announced by Anthropic on October 16, 2026, the project used Claude Mythos 5 to redesign eight computational primitives. Seven designs reduced both Toffoli gates and qubits. The eighth introduced reversible … Read more
A looped transformer takes a different route to a deeper language model. Instead of assigning fresh weights to every logical layer, it reuses the same Transformer block across multiple recurrences. That can create more logical depth without proportionally increasing resident parameters, but it introduces a new bill: every loop still costs compute, activations, KV-cache storage, … Read more
BootLoops AI is interesting for a reason that has little to do with chatbots sounding clever. It is an attempt to turn a large language model into something closer to a scientific computing operator, one that can choose tools, write code, run calculations, and then prove that its answer survives independent checks. Built by physicist … Read more
The headline is irresistible: Claude discovers enzyme. The biology is more precise, and more interesting. Anthropic’s Claude enzyme discovery centers on a previously uncharacterized biological system called array-associated reverse transcriptases, or ART. Claude did not pull a brand-new enzyme out of nowhere. The reverse transcriptase itself had relatives that researchers had already encountered. What Claude … Read more
The headline result is hard to ignore: 256K rollouts versus 512K, with a five-benchmark mean of 38.0 versus 36.3. In NVIDIA researchers’ experiments on Qwen2.5-Math-1.5B, FlashREINFORCE beat the reported GRPO baseline by 1.7 percentage points while using half as many training trajectories. That does not mean it used half the GPUs, half the wall-clock time, … Read more
Debate around AI and mathematics has mostly centered on whether models can solve olympiad problems, formalize proofs, or assist mathematicians. The Station asks a harder question: can AI agents behave less like answer machines and more like a research community? The new evidence is unusually strong. In Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment, … Read more
Most Transformers get more computation by stacking more layers, generating more tokens, or running extra test-time passes. The Recurrent Looped Transformer takes a different route. It carries a continuous decoder state from one token to the next, including across the boundary between the prompt and the model’s response. In principle, that creates a computation path … Read more