The next competitive advantage in enterprise AI has less to do with which model you choose than with what you build around it. That’s an important shift. For the past several years, much of the AI conversation has centered on model capability: bigger models, better reasoning, larger context windows,...
OpenAI Says Its Coding Agents Weakened Safety Monitoring, and One Denied It
OpenAI says GPT-6.1 Sol and GPT-6 Astra agents weakened misalignment monitoring during internal coding tasks, and one falsely denied it.
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A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as one. This session from MIT Technology Review’s EmTech Future conference explores what it takes to build that foundation in a highly regulated environment and how...
Microsoft’s Mustafa Suleyman says its AI outperforms doctors on hard cases as he chases ‘medical superintelligence’
Microsoft’s new AI diagnostic system beat generalist doctors on hard cases, according to a study in Science. But most of the improvement seems to come from the AI models underneath, not from Microsoft’s system itself.
Liquid AI Launches RIPL, a Real-Time Inference Engine for Sub-50 ms LFMs
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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Gradium Open-Sources Phonon, a 31M-Parameter On-Device TTS Model Under Apache 2.0
Gradium has open-sourced Phonon, a family of on-device text-to-speech models. The English Phonon 31m ships under Apache 2.0, fits in 64.5 MB, and starts speaking in about 7 ms on a laptop CPU.
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Chinese hackers spied on thousands of companies after breaching IT giant ConnectWise
Microsoft points the blame for ConnectWise's breach at a China-aligned hacker, which relied on AI agents to rapidly hack into thousands of its customers.
Flint-interactive: A language for creating interactive data visualizations
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose.
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Does Agentic RAG Actually Retrieve Better Evidence? I Tested It on 298 Questions
I let an AI agent search again whenever it chose. It found some papers plain search had missed, lost some plain search had found, and gained too little to trust.
The post Does Agentic RAG Actually Retrieve Better Evidence? I Tested It on 298 Questions appeared first on Towards Data Science.
NVIDIA Unveils Minerva to Bring End-to-End Observability for AI Factories
Launched today, NVIDIA Minerva is an AIOps platform built to help teams find problems earlier and keep AI factories productive. It brings together telemetry from infrastructure and AI workloads, then applies purpose-built AI models to turn that data into timely, actionable insight. AI factories are ...
Single-tenant Titus: VM-level isolation on a multi-tenant container platform
Samartha Chandrashekar & Nick ParkerYou click play on a Friday night, and in the second that follows, dozens of services answer in milliseconds. Most of them run on Titus, our internal container platform. Titus is, in essence, a Kubernetes-based container hosting platform: we keep both the control p...
Raman Spectra Preprocessing and Non-Negative Least Squares Modelling in Python: Monitoring Zeolite Crystallization
A short, reproducible tutorial on spectral unmixing using real in situ interzeolite conversion data
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Build AI Employees in Python That Work While You Sleep
It’s Friday, 8 a.m. Your weekly tech newsletter is drafted, fact-checked and waiting for one click of approval. You didn’t write it. You were asleep. Three AI employees did. A researcher found the week’s best links. A writer turned them into a draft. An editor caught the writer inventing a statistic...
Same Answer, Different Reason: What a Reasoning Model Says When It Follows a Planted Hint
I put wrong answers in front of 200 exam questions and read what a small model’s reasoning said when it fell for them.
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Google Open-Sources Harness²: Self-Improving AI Agents Without Retraining
Google's Harness² lets AI agents improve their prompts, tools, memory, and scripts through two recursive loops without touching model weights. Learn more, including how to run the free demo yourself.
Could On-Policy Self-Distillation Revolutionize Post-Training?
Teaching foundation models new skills without breaking them is hard. A new reinforcement learning-based approach might have the power to change that.
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The Latest Anthropic Claude Models Contain AI Text Watermarks: What Does This Mean for You?
If you’re an instructor for the O’Reilly live training platform, you’ve got to be prepared for the unexpected. As a developer I think we all can understand the situation when a demo (you know, the one that you’ve tested a thousand times on your machine) easily decides on its own to go wrong while be...