Daily digest / 4 November 2026
As GPU clusters scale, operations span compute, network, hardware, and scheduling. Site reliability engineers (SREs) often have to examine multiple dashboards... As GPU clusters scale, operations span compute, network, hardware, and scheduling. Site reliability engineers (SREs…
Microsoft plugin reduces costs of repeated inputs. Google criticized for linking students’ search access to Gemini. OpenAI, Anthropic, others fight election misinformation. U.S. voters want more checks on data center construction.
November 3, 2026 — A quiet day lets us share some behind the senes.
Some agent-evaluation questions are narrow and repeatable, and decision models answer exactly that kind of question. This post shows how to connect two decision models, Jev and Strands Decider, to Amazon Bedrock AgentCore Evaluations through code-based evaluators, and how to v…
As artificial intelligence and accelerated computing continue to push the boundaries of what's possible, the latest NVIDIA CUDA release arrives to unlock... As artificial intelligence and accelerated computing continue to push the boundaries of what’s possible, the latest NVID…
Data Mining & Modeling
A Siemens report estimates that unplanned downtime costs an average large plant in the surveyed sectors $253 million per year. Whether investigating a failed... A Siemens report estimates that unplanned downtime costs an average large plant in the surveyed sectors $253 million…
Our first open model economy research note for paid subscribers.
Smart Approvals in Amazon Quick reviews eligible agent actions within your existing controls, reducing unnecessary approval prompts while keeping consequential decisions with a person. See how policy sets the boundary, how a classifier reviews actions, and how AWS CloudTrail a…
In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and verification agents), implemented in working code from Deep Insight, an open source multi-agent data …
This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates context-aware data quality rules, validates them, and produces ready-to-run SQL and Python under human-in-the-loop governance,…
Turn production evidence into prioritized issues and custom evaluations that help you improve prompts, tools, models, memory, skills, and harness code. When you... Turn production evidence into prioritized issues and custom evaluations that help you improve prompts, tools, mod…
OpenAI will acquire Pierre Computer Company, expanding Codex’s tools for building, understanding, and reviewing code.
Personal AI agents have changed how users interact with the web, blurring the lines between automated and human traffic. Learn how Cloudflare gives site owners visibility and control to manage personal agent access.
Learn why speech to text accuracy drops and how to fix it, from audio quality and accents to keyterm prompting, plus how to measure it with WER.
See AI voice agent pricing from $0 to custom Enterprise, what sets your price per minute, and how to calculate ROI against staffing costs.
ElevenAgents now integrates natively with NiCE, Genesys Cloud, Amazon Connect, and Five9, and connects to any other platform over SIP.
OpenAI built an autonomous pipeline that found, validated, and generated patches for 948 local privilege-escalation vulnerabilities in the Linux kernel.
With funding from Google.org and technical support from Google Research, Ai2 is developing NeuralGCM+, an open-source model designed to combine physics and AI to simulate the atmosphere and ocean together for faster, more reliable long-term climate projections.
Daybreak Red brings GPT-5.6 Cyber to approved customers in AWS GovCloud (US-East) through Amazon Bedrock for authorized cybersecurity work.
Images 2.6 brings faster image generation, GIF creation, more precise editing, and new API controls across ChatGPT, Codex, and the API.
DevRev uses GPT-6.1 Sol to power Computer and Operator, balancing reasoning, speed, and cost for enterprise service.
Together Compiler uses agents and persistent engines to optimize open models in under 24 hours, delivering up to 3.7x higher throughput as traffic changes.
Models, traffic and chips are constantly changing. Polymorphic Inference adapts to each, and Together Compiler uses AI agents to keep production inference tuned.
Broadcom’s shipments of TPU by unit volume increased by about 65% quarter over quarter to roughly 800,000 chips, while compute output doubled, driven by a shift to more powerful chips.
A Bayesian model gives the ECI better-justified uncertainty estimates and lets us compare models directly.
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