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Here’s an attempt to classify the evidence about the recent agent incidents. I think it’s important to separate incidents occurring in RL training (that are rewarded and reinforce model behavior) from incidents occurring in evaluations, which are mostly cyber capabilities evaluations with some…
Cloudflare Basin is built on Apache Iceberg and R2 Object Storage. With general availability, developers can ingest, manage, and query large datasets at scale without paying data egress fees.
Europe's strategic space independence will depend on semiconductor supply chains, satellite networks, and 6G communications. The post Europe’s Space Industry Seeks Greater Supply Chain Control appeared first on EE Times.
Amazon EMR Serverless now offers enhanced serverless storage capabilities with support for up to 1TB shuffle operations, raising the previous 200 GB per-job limit.
Staying up to date on the latest AI models is like trying to keep my house vacuumed in the height of my dog's shedding season (a losing battle). New AI models drop practically every week, and it's not exactly obvious which ones deserve a spot in your workflows.
Large language models (LLMs) are what most people think of when they think of AI. They're what you're interacting with in ChatGPT and Claude, they write the code generated by Claude Code and Codex, and they power other AI features like Google's AI answers and Apple Intelligence.
Our DevDay coverage - the first pod on the DevDay lineup - dives in with the leaders of OpenAI’s CUA team and API platform.
Google today announced Gemini 4 Argon, a new frontier AI model that the company says leads rival systems on several enterprise-relevant benchmarks, including long-horizon software engineering, cybersecurity vulnerability remediation, business automation and economic-impact knowledge work.Read more
Three machines, one model, one agent. A field report on what actually changed, and what I’d keep if I started over.
At this point, announcements about new AI agents trigger a very "Florals? For spring? Groundbreaking." response in me—which also means I've gotten very good at tuning them out. Muse, Meta's new personal AI agent, almost got that response from me too.
Identity and access management is getting a second look as AI agents move from pilots into production. The rush to deploy them is exposing decades of stitched-together identity tools, integration costs and security gaps that enterprises can no longer ignore.
GPT-6.1 Sol by OpenAI is a current canonical language model with a listed release date of 2026-09-29.
Unity catalog managed tables allow you to control the placement of your data when...
Benchmarking the impact of fewer, larger files across three SQL workloads The post I Compacted 1,000 Apache Iceberg Files Into 6. Here’s What Happened to Query Performance. appeared first on Towards Data Science.
When we post an engineering job, we get 300 to 400 résumés in a week. Reading each one carefully takes about two minutes. That adds up to eleven hours of work for just one opening, before any intervie
In the rapidly evolving landscape of modern data engineering, we have developed an almost reflexive habit of reaching for Apache Spark the moment we need to ingest, move, or process data. Microsoft Fabric provides a robust, pre-configured default Spark runtime that works beautifully out of the box.
Meta has shifted to a new flagship AI model called Muse Spark and sent the Llama "herd" of models to the farm upstate. It's a dramatic but understandable shift in AI strategy from the company that was once pioneering open models.
Checking in on Opus 5.5 ~1 week after launch. It's the #1 model in share of spend and share of tokens among Anthropic models on OpenRouter Switching from Opus 5 has been particularly rapid
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