Tootfinder

Anthropic donates the Agent Skills open standard to the Agentic AI Foundation and says 70 platforms have integrated it, after donating MCP to the AAIF in 2025 (Anthropic)
https://www.anthropic.com/news/donating-agent-skills-to-the-agentic-ai-foundation

Donating Agent Skills to the Agentic AI Foundation
We’re donating Agent Skills, the open standard that gives AI agents specialized knowledge and workflows, to the Agentic AI Foundation. More than 70 agent platforms, including ChatGPT, Cursor, GitHub Copilot, and VS Code, have integrated Agent Skills since we published the standard in December 2025.

Ich muss jetzt mal kurz eine Lanze für Microsoft und für AI / KI brechen.
Hätte die Qualität der Software und des Supports bei Microsoft Windows sowie bei Microsoft 265 / Exchange / Onedrive nicht so massiv abgenommen und KI nicht alles schlimmer gemacht, hätte ich nie überlegt, der IT den Rücken zuzukehren.
So habe ich nun aber der IT Tschüss gesagt, werde zum Jahresende nach 25 Jahren bei meinem jetzigen Arbeitgeber aufhören und zum 1.1.27 was ganz anderes machen.
Danke M…

@… tell this the thousands of companies still using this (in their automation pipelines controlling big machines) 🙈

Sources: SoftBank's SB Energy is considering going public in December or possibly waiting until next year as it monitors Anthropic's IPO, expected next month (The Information)
https://www.theinformation.com/articles/sb-energy-considers-waiting-d…

SB Energy Considers Waiting Until December or Later for an IPO
SB Energy, the SoftBank Group–controlled developer of a massive planned Ohio data center project for OpenAI, is considering going public in December or possibly waiting until next year, according to people familiar with the discussions. That is a later timeline than previously expected. The data ...

⚙️ Unlike a JIT compiler, Maxwell reasons at a higher level and can swap out entire algorithms, e.g. replacing a general-purpose sort with a better-suited one. It sees the exact hardware, the real data shapes and types, and live bottlenecks, and keeps optimizing continuously.

⚡ Runs in parallel across all CPU cores while returning results in input order, so --check output stays identical on every run
🔌 Built-in Language Server (laravel-fmt lsp) for format on save and format selection, plus --stdin-filepath for editors that only pipe a buffer

🎯 Faster decoding with DSpark draft tokens and confidence-scheduled verification (default max draft length: 5). SWA bounded replay cuts decoder prefill work by replaying only a bounded suffix
🔒 Batch-invariant inference keeps results identical across batch compositions, deterministic sampling returns identical outputs for identical inputs and seeds (both NVIDIA only). Structured outputs constrain generation to regex, JSON schema or EBNF grammar

🎨 Blade-aware Tailwind sorting: in dynamic classes like bg-{{ $color }}-500 the partial class is pinned in place. The @theme block is loaded first, so custom classes like bg-brand sort alongside the built-in colors
🛡️ Alpine attributes get canonical spacing. The rewritten output is verified token by token, and the original is kept if anything moved

📂 Covered file types: PHP (sorted and split imports, trailing ?> removed), Blade echoes, directives and @php blocks, Livewire 4 single-file components, HTML, CSS, Alpine.js expressions, Markdown, JSON, YAML and XML
⚙️ Adopts existing settings from Pint, PHP-CS-Fixer, Mago, EditorConfig and Prettier config files. An init command generates a dedicated config file when needed

✅ Every rewrite is backed by formal verification: Maxwell produces proofs that the replacement code is equivalent. The same process can prove the absence of memory errors; doubleAI says it found memory-safety issues in Python itself this way.
📊 Claimed results: data pipelines more than 38x faster, AI inference kernels more than 4.5x faster. The 4K video model LTX-2.5 ran nearly twice as fast after Maxwell cut data exchange between GPUs and dropped unnecessary token padding.