Videos

MIT's superposition analysis shows that LLM loss scales as roughly 1/width, meaning doubling a model's width halves...

Opus 5.5 won 7 of 10 use cases against GPT-6 Soul in this head-to-head test, consistently producing better creative...

Claude Opus 5.5 is Anthropic's new frontier model that outperforms Fable 5.1 on key benchmarks like Terminal Bench...

Claude Opus 5.5 is a cheaper, capable successor to Opus 5: Anthropic claims it matches a top-tier model (called...

Google's ERA project, which began as an attempt to automate Kaggle competitions, frames scientific problems as...

Anthropic's Claude Opus 5.5 matches the performance of Fable 5.1 on most tasks while costing 40-51% less to run and...

Claude Opus 5.5 is now the frontier model, beating GPT-6 Astra and Fable 5.1 on key coding and knowledge-work...

Austin Marchese's 80/20 approach to rebuilding a Claude setup prioritizes a small set of high-impact practices:...

Grok 4.7 is a fast, cheap model close to Fable 5.1 but not Astra-level. The recommended workflow uses Astra to...

The core insight is that many AI decisions don't need text generation—just scoring logits against a fixed menu of...

Jev is a new AI model that is 400 times cheaper than Astra and significantly faster, making previously uneconomical...

Node's new FFI (foreign function interface), enabled by default in the latest release, lets you call native...

Grok 4.7 is a cost-effective model that performs near the frontier, comparable to Opus 5 on Cursorbench at half the...

Grok 4.7 is a 2.1-trillion-parameter frontier model priced at $2 per million input tokens and $6 per million output...

Jev is a new class of model — system one / large programmable — designed for code consumption, not chat, optimized...

Impeccable, Paul Bakaus's Claude skill for design work, is built like a mixture-of-experts system: two sub-agents...

Splitting a voice agent's prompt into per-step contexts cuts token usage by more than half in production, according...

Jev, from Typesafe AI, is a system-one model that returns typed answers with probabilities instead of generating...

Jev introduces a new class of AI model called system one models, which are master decision makers that output...

Codex (GPT-6 Astra) serves as a full AI operating system and second brain, enabling non-technical users to build...

Jev is a decision-only model from Type Safe that outputs a fixed-choice answer with a confidence score instead of...

A 1998 StarCraft: Brood War benchmark called Brood War Bench shows frontier AI models lose badly in real-time...

Qwen Image 2.1 generates decent local images on a 4090, but the real story is using Hermes Agent to iteratively...

Open implementations of Jev, a universal classifier that reads logits from the prefill stage, are proliferating...

Fitting a model on your GPU is not enough; you must also account for KV cache and runtime overhead. For most...

On a 6GB GPU, the deciding factor for local coding models is not the download size but the memory left over after...

Jeff from Typeface AI is a new class of model that outputs probabilities instead of tokens, enabling real-time...

Jev AI is a new model optimized for micro-decisions — yes/no, choice, or score — that claims to be 400x cheaper and...

A paper co-authored by Filip Makraduli proposes two algebraic tricks—weight folding and deferred normalization—that...

vLLM's Mamba state cache had two silent bugs—decode-before-prefill scheduling and uint32 index overflow—that...

Small open-source models can match or beat frontier models on specific tasks at a fraction of the cost, but serving...

Jev is a decision-only AI model that outputs structured JSON (yes/no, category, or score) without generating text,...

Turboquant, which uses polar coordinates to quantize the KV cache to four bits, has a fatal flaw for data center...

CoreWeave's inference platform is built around two consumption models, serverless and dedicated, with serverless...

Standard LLM benchmark harnesses often fail to deliver the requested load and inflate latency, making server...

OpenAI's inference load balancer evolved from a feedback-loop-based P controller to a control plane/data plane...

Claude's new interface merges chat and co-work modes and adds Docs and Slides, making it a more self-contained...

Nate Herk's six-step process for building Codex skills emphasizes reverse engineering from a desired output,...

A three-person security team used an AI model, Claude, to chain four known bugs into a full compromise of OpenAI's...

Jev, a decision-based model from Typesafe, challenges the assumption that general-purpose LLMs are the best fit for...

Bonsai 2 compresses Qwen 3.8 from 54GB to 5.9GB using ternary quantization (1.76 bits per weight), claiming 98%...

Jack Roberts demonstrates a self-built 'Agentic OS' powered by GPT-6 Astra that aggregates personal and business...

Liquid AI's architecture is inspired by the C. elegans worm, which has only 302 non-spiking neurons, enabling...

Bonsai 2 27B's ternary quantization claims 98% quality retention at 9x smaller size, but in practice the quality...

Agent memory and harness engineering is about controlling the nondeterministic reasoning of a model by building a...

Jev is a new decision model from a ChatGPT co-inventor that uses RLCD, a training method different from RLHF. It...