17 related articles

Harvard and UIUC propose a third axis of pretraining, claiming 6.2x sample efficiency and 250x inference speedup. Deep analysis of this new paradigm's implications and key caveats.
Kronos Financial Foundation Model: Usi…
Kronos is the first open-source foundation model treating candlestick data as the "language of financial markets," using an autoregressive Transformer and earning 32K GitHub Stars. A deep dive into its principles, applications, and limits.
Bonsai 27B: The First 1-bit LLM That R…
Bonsai 27B is the first 27B-parameter LLM that runs on smartphones via 1-bit quantization, compressing to 3–4GB. We break down the tech, privacy benefits, and community debate.

Dario Amodei and Demis Hassabis both call continual learning key to AGI, yet the term remains undefined. This article clarifies five interpretations and analyzes three core bottlenecks.
Continual Learning: The Overlooked Cor…
Why is Continual Learning the biggest barrier to AGI? This deep dive covers catastrophic forgetting, real-world deployment challenges, and the Amodei vs. Dwarkesh debate on AGI pathways.

Gemini 3.5 Pro is delayed again, yet the community's reaction is surprisingly calm. This article dives deep into Google's compute cost pressures, the risks of a full architectural rebuild, and DeepMind's long-term strategy.

A major breakthrough in AI coding! Hands-on tests show new LLMs generating a Minecraft clone in 90 minutes and a TMNT game in 30 minutes, building 3D scenes, animation, and game logic in one shot.

GPT-5.6 (Sol, Terra, Luna) hands-on testing: a Hokkaido farmer controls a greenhouse with AI, a NYC small business builds custom software, and a Polish mathematician breaks a 3-year problem. A deep dive into end-to-end autonomous execution.

OpenAI launches the GPT-5.6 model family with cybersecurity as its biggest highlight. A deep analysis of GPT-5.6's differentiation, double-edged-sword effect, and enterprise strategy.

A Reddit user compared FP8 and BF16 precision on the Krea2 model and found almost no difference in image quality. This article analyzes the technical reasons behind the shrinking quantization gap and its real-world impact on VRAM usage and inference speed.

GLM-5.2 tops open-weight models in coding with a 74.4 Frontiers-WE score, beating GPT-5.5. Its MIT license enables local deployment, and the gap with closed-source flagships is closing fast.

Can a brand's "visibility" in AI answers really be quantified? This article deeply dissects the methodological flaws of AI visibility dashboards—from LLM output randomness and black-box mechanisms to vanity metric traps.

The U.S. Treasury has issued a rare internal warning that the AI investment boom may be forming an asset bubble, with valuations detached from fundamentals and systemic risks mounting.

OpenAI launches GPT-5.6 Sol at half the price of Anthropic's Fable 5. We compare both models on HealthBench, cybersecurity and more using hard system-card data, analyzing Sol's cost-effectiveness and shifts in AI power.

Anthropic launches a global life sciences hackathon with Gladstone Institutes, offering $100K in API credits to advance AI-driven scientific research using Claude Science and Claude Code.

Learn AI Agent development from scratch. This tutorial covers LLMs and prompts, then builds a conversational agent in Python using the DeepSeek API with multi-turn dialogue and system prompts.

Andrej Karpathy officially joins Anthropic. The former OpenAI co-founder and Tesla AI director returns to frontier LLM R&D, signaling a pivotal moment in AI.