InfoQ (1 hour ago)
Agentic LLM systems have moved from linear prompt chains to graph-based workflows and, more recently, code-executing harnesses. Chains are simple but fragile, graphs add branching, retries, and validation, and code harnesses verify outputs through execution.
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Mistral’s chief executive, Arthur Mensch, has warned that Europe will get “leftovers” if it stops building frontier AI models. Apps built on American or Chinese models would also give Europe a “big trade balance problem”, he said on 20 October.
Meta launched two share offerings worth about $35bn on Monday, as it looks for new ways to pay for its growing spending on AI. The larger offering is $22.5bn of Class A common stock sold through forward sale agreements.
The centrist parties behind Ursula von der Leyen split in the European Parliament on Thursday. The question was whether AI companies should answer for harm their models cause. Socialist and Green MEPs called for a new AI liability act. The centre-right said Europe needs less regulation, not more.
ChatGPT and Anthropic join DeepSeek in Swedish government AI ban.
A Redditor used Claude Code AI to build a Mac temperature monitor app and found that the machine was running much hotter than expected. Claude reported that it found a crypto miner using more than 1,000% of the CPU cycles – then added an unprompted comment denying having installed it.
AI is transforming security, but organizations must not lose sight of identity, access and least privilege.
Cloudflare has released Auto Router in public beta through AI Gateway, picking a model per request from a classifier that scores complexity, ambiguity, stakes and context dependence.
Microsoft announced version 2.0 of the official MCP C# SDK, which implements the 2026-07-28 revision of the Model Context Protocol with stateless HTTP servers by default, standardised routing headers and Multi Round-Trip Requests.
PHP released 8.5.12, 8.4.27, 8.3.36, and 8.2.35 to fix two critical vulnerabilities allowing unauthenticated remote code execution.
Google and Meta open-sourced TorchTPU, a native PyTorch backend for Google’s TPUs, at PyTorch Conference North America 2026, and Meta said it plans to move larger LLM workloads onto TPUs with it.
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