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Fortune ● 3 sources
Apollo Chief Economist Torsten Slok argued that the AI spending surge is stalling because compute demand growth has slowed and firms haven’t yet reaped productivity gains.
Every child will get AI. Not every child will get a teacher
Fortune ·
39
Block’s new voice model sounds eerily human
TechCrunch · 16 hours ago ·
36
How an OpenAI model exposed a flaw in 70% of the internet's websites
Fortune ·
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48-hour security pileup; CVSS 10 GitLab fix plus agent monitoring fallout
Latent Space 16 sources
Europe shut PHP sites after PHP2Shell CVEs; fixes landed Oct 21, but AI speeds up the patch fight.
The New Stack 16 sources
Meta pushed terms back to Nov 20 after publishers worried about AI scraping.
The Verge 11 sources
Anthropic just previewed Claude Duet—checks email/calendars every few hours and eats your quota.
Fortune 8 sources
Legora jumped to $8.8B after a $550M raise—plus Europe’s €27.8B funding rebound
Tech.eu 8 sources
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MarkTechPost 4 hours ago 37
Microsoft Research open-sourced Agensh, a decentralized multi-agent harness for coding teams that removes a central orchestrator and lets workers self-claim sub-tasks while sharing progress in a common Git repo. On ProgramBench, it scaled from 1 to 1,024 agents with a 30-minute pandoc milestone of 30% passing at 128 agents. With more agents, scores rose and the 5-task mean final test-pass rate increased from 19.31% (1 agent) to 28.78% (128 agents), while pandoc reached 79.59% using GPT-6.1-sol with 32 agents.
MarkTechPost 5 hours ago 50
Cognition released the Devin Vulnerability Fixes plugin, a free open-source set of agent skills to remediate three remote code execution advisories in PHP, Node.js, and self-managed GitLab. The GitLab component targets CVE-2026-110264 and is rated CVSS 10.0. It lets agents run a read-only inventory with approval, then apply version-validated fixes with before/after tests and deliver 1 pull request per repository rather than requiring manual patch workflows.
MarkTechPost 5 hours ago 18
Underdog Saluki 27B was tested against the underlying Qwen3.8-27B GSQ-RCO 2-bit files by diffing their GGUF headers and then serving both on one GPU to measure tool-calling performance with the same BFCL checker. The evaluation ran on 120 seeded tasks from the Berkeley Function Calling Leaderboard. The result is that Saluki keeps tool calling at about 2 bits per weight and reports a higher score than the full 54 GB model in the notebook’s benchmark setup.
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TLDRocket
24 October 2026
AI’s dominant theme today is accountability at scale: as agents get more autonomous, companies are doubling down on verification, sandboxing, and evidence—because “it worked once” is no longer good enough. Anthropic reports its merged code changes jumped from about 2,500 per day in May to over 30,000 by September as it rolled out agentic “software factory” workflows, but the growth depends on building a fast, high-fidelity verification “sensor” so agents don’t outrun what tests can actually validate. In parallel, Anthropic open-sourced its @anthropic-ai/sandbox-runtime, an OS-level sandbox (no containers) that reportedly cut internal Claude Code permission prompts by 84%—a practical nod to how real agent deployments are constrained by risk controls, not ambition.
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