MarkTechPost (2 hours ago)
Moonshot AI released Kimi K3.1 Pro, a 2.8T-parameter, 104B-active MoE model with 1M-token context. It scores 65.7% on Terminal-Bench 4.0, costs $2/$10 per million tokens, and open weights arrive by Nov 4, 2026.
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The Chancellor will unveil AI spending aimed at shoring up the UK’s defences in Wednesday’s Budget.
US police are using an AI tool to detect the location of properties based on interior photos, but the way tool accumulates its data drawn concern from Airbnb, Zillow, and others
OpenAI will cut frontier models off from the internet weeks after one of its engineers said that solution wouldn’t work.
OpenAI says it will no longer allow frontier models to access the internet during training in an effort to put in new safety measures after a series of incidents.
OpenAI is now training its most advanced AI models without internet access following a string of rogue hacking incidents.
Banks are warning against giving too much access to AI agents.
TinyFish published two engineering research articles on agentic search. One defines a 7-phase production architecture with evidence contracts and bounded retries. The other explains why its deep research system dropped a separate planner and per-query subagents.
Google Cloud announced Agent Compute Engine, a compute service that gives every AI agent its own hardware-isolated microVM with no credentials inside. It already runs Gemini agents and enters preview in the coming months.
You.com launched Inference Router, an OpenAI-compatible API for 12 open-weight models with a 99.9% uptime SLA, zero data retention, 100% US hosting, server-side web search and no platform fee.
Liquid AI released RIPL, a real-time inference engine for its LFM models. On one B200, LFM2.5-1.2B on RIPL showed 14.4 to 28.4x lower p95 latency than Qwen3.5-0.8B on vLLM.
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