OpenAI published ten Astra-generated research claims with a 249-page manuscript and public Lean proofs. The evidence is unusually strong; independent review has only begun.
A 239GB GLM-5.2 quant can fit in 256GB of unified memory—but only after a unit conversion, and only with strict limits on context, runtime overhead and quality claims.
Google rolled back Nano Banana 2 in Google Earth after one day. Here’s why watermarks weren’t enough—and what safer geospatial AI needs.
Kimi K3 leads a major independent index. DeepSeek V4 Flash 0731 wins on API price and home-lab feasibility. See the evidence and trade-offs.
Inkling-Small’s current Q4_K_XL is 163.27GB (152.06GiB), so it cannot fit fully inside a 128GB Mac Studio. Here are the exact quant sizes, headroom calculations, runtime limits and practical verdicts for 96GB through 512GB Apple Silicon.
Bonsai 27B genuinely runs on an iPhone—but the 3.9GB headline hides runtime memory, long-context limits, thermal slowdown and uneven one-bit quality. Kingy audits the live files, forks, vendor claims and independent phone logs.
DeepSeek V4 Flash 0731 can run on hardware you can own, but one DGX Spark needs aggressive quantization. This guide compares Spark, M3 Ultra, memory, speed, context, cost, security, and the tradeoffs behind “it fits.”
DeepSeek’s V4-Flash-0731 API beta adds native Responses API support for Codex and posts an 82.7 company-reported Terminal-Bench 2.1 score. Here’s what changed, what it costs and what remains unverified.
The EU AI gigafactories plan targets seven sites and €30B-plus investment. See the funding structure, timeline, chip dependency and risks.
Thinking Machines’ 12B-active open-weight model beats Inkling on several coding and reasoning tests, while exposing a serious factuality trade-off.
