Build Your Own Reasoning Model: A Full Video Course
Over 11 hours of coding videos on evaluation, inference-time scaling, reinforcement learning, and distillation, with Python and PyTorch. Context & related coverage →
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Top signals · Oct 23–24, 2026 · Updated Oct 24, 13:04 UTC
Google’s Data Agent Kit Hits GA, Splitting Agent Guardrails Between Skills and IAM
Google has made Data Agent Kit generally available, a free set of MCP tools and 37 open-source skills that connect coding agents to more than fifteen Google Data Cloud services. Two kinds of guardrail ship with it, an... Context & related coverage →
Introducing Kimi K3.1 Pro
Introducing Kimi K3.1 Pro Kimi K3.1 Pro landed on the Kimi API today - it's not yet open weights, but Moonshot promise "Full model weights will be released by Nov 4, 2026". They're also offering a "Highspeed" version... Context & related coverage →
Context Engineering (Agent Memory) for AI Agents Starts with Retrieval
Agents waste time and context on clumsy searches, oversized results and stale data. Learn the retrieval techniques LangChain's Deep Agents harness uses to get the right context in. Context & related coverage →
DeepSeek vs Claude: $0.15 vs $4 Per 1M Tokens [2026]
https://tech-insider.org/ Context & related coverage →
[AINews] Kimi 3.1 Pro 104BA-2.8T: Fable-5.1-Class Open Weights narrows Closed-AI lead to 1 month... and Pro Highspeed API with 2-3× speed
We have Fable at home... or so we are being told by paid shills Context & related coverage →
GLM-5.3 Optimizations, Part 2: PCP, DCP, and Hybrid HiSparse on 16 H200s
vLLM serves GLM-5.3 on 16 H200s with PCP and DCP prefill and Hybrid HiSparse decode, reaching 1M-token contexts and 1.7–3.2× the per-user speed of data-parallel P/D on the AgentX agentic benchmark. Context & related coverage →
Quick Study
Tool: Quick Study Prompt to Claude Opus 5.5 High : Build an artifact where you open a photo and it rapidly (in a few seconds) paints a version of that photo using a canvas element and simulated paintbrush See also my... Context & related coverage →
Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide
Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI trains models on the outcome of a whole multi-step task rather than labeled steps. This hands-on guide walks the full pipeline using Wordle: deploying th... Context & related coverage →
Anthropic Adds Opt-In Security Scanning for Critical Open-Source Projects
AI company Anthropic has launched OSS Scanner, a free, opt-in service to find vulnerabilities in open-source projects. Enrolled maintainers receive periodic security reports generated by the company's strongest models... Context & related coverage →
Why founders keep failing to vibecode their own LLM inference engine
Securing our frontier model training environment
OpenAI explains how we strengthened containment for frontier model training and evaluation, including offline environments and high-compute red-teaming. Context & related coverage →
✓ You're all caught up
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