TSMC posted a record Q2 2026: 40.2 billion dollars of revenue, profit up 77.4%, HPC at 66% of sales. The foundry numbers are the AI boom audit - and they say demand is real.
An 88-word statement signed by 200+ economists and 16 Nobel laureates - including the field loudest skeptics - says the AI transition needs preparation now. Here is why this one matters.
GPT-5.6 went GA on July 9 with three tiers - Sol, Terra and Luna. New naming, agentic plumbing like Programmatic Tool Calling, and a quiet precedent: a government preview before launch.
Doom loops - models chanting Wait, let me reconsider until the context runs out - just got an open-source fix. Antidoom cuts failures on Qwen3.5-4B from 22.9% to 1%.
OpenAI first consumer hardware is Codex Micro, a 230 dollar keypad built with Work Louder for controlling coding agents. Silly gadget - or a serious signal about how we will work with AI?
China finally approved Apple Intelligence in China - running on Alibaba Qwen and Baidu instead of Apple own models. What the 22-month saga says about a bifurcated AI world.
Bonsai 27B od PrismML to model trenowany natywnie w 1 bicie: 3,9 GB zamiast 54 GB, ponad 90% jakości i 11 tokenów na sekundę na iPhonie. Sprawdzam liczby, ograniczenia i sens lokalnej AI.
Inkling, pierwszy model Thinking Machines Miry Murati, to 975 miliardów parametrów pod Apache 2.0 i zakład, że przyszłość AI to modele dostrajane pod siebie, nie uniwersalne giganty.
Grok 4.5 od SpaceXAI i Cursora to pierwszy duży model trenowany na bilionach tokenów danych z edytora kodu. Sprawdzam benchmarki, ekonomię i to, co ta premiera mówi o przyszłości rynku.
Kimi K3 od Moonshot AI to 2,8 biliona parametrów, milion tokenów kontekstu i cennik, który kończy erę bardzo taniej chińskiej AI. Sprawdzam liczby, benchmarki i wnioski dla programistów.
