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russellromney/honker “Postgres NOTIFY/LISTEN semantics” for SQLite, implemented as a Rust SQLite extension and various language bindings to help make use of it. The design of this looks very solid. It lets you write Python code for queues that looks like this: import honker db = honker.open(“app.db”) emails = db.queue(“emails”) emails.enqueue({“to”: “alice@example.com”}) # Consume (in a worker process) async for job in emails.claim(“worker-1”): send(job.payload) job.ack() And Kafka-style durable streams like this: stream = db.stream(“user-events”) with db.transaction() as tx: tx.execute(“UPDATE […]

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An update on recent Claude Code quality reports It turns out the high volume of complaints that Claude Code was providing worse quality results over the past two months was grounded in real problems. The models themselves were not to blame, but three separate issues in the Claude Code harness caused complex but material problems which directly affected users. Anthropic’s postmortem describes these in detail. This one in particular stood out to me: On March 26, we shipped […]

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Tutorial (WIP) I’ve written a program suite and python library that combines an ultra fast simulator with a small Stockfish style neural networks (with policy priors) to attack perfect-information search in the first generation of Pokemon battling. The goal of this library is to train a network and optimize search hyper-parameters that together will serve as the evalation function for an Information-Set MCTS approach to the full game. It is simple, at this point in development, to swap […]

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Xiaomi MiMo team publicly released two new models: MiMo-V2.5-Pro and MiMo-V2.5. The benchmarks, combined with some genuinely striking real-world task demos, make a compelling case that open agentic AI is catching up to the frontier faster than most expected. Both models are available immediately via API, and priced competitively. What is an Agentic Model, and Why Does It Matter? Most LLM benchmarks test a model’s ability to answer a single, self-contained question. Agentic benchmarks test something much harder […]

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Most AI agents today have a fundamental amnesia problem. Deploy one to browse the web, resolve GitHub issues, or navigate a shopping platform, and it approaches every single task as if it has never seen anything like it before. No matter how many times it has stumbled on the same type of problem, it repeats the same mistakes. Valuable lessons evaporate the moment a task ends. A team of researchers from Google Cloud AI, the University of Illinois […]

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There’s a pattern playing out inside almost every engineering organization right now. A developer installs GitHub Copilot to ship code faster. A data analyst starts querying a new LLM tool for reporting. A product team quietly embeds a third-party model into a feature branch. By the time the security team hears about any of it, the AI is already running in production — processing real data, touching real systems, making real decisions. That gap between how fast AI […]

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Google has been a proud part of Austria’s landscape for years, and today, we’re announcing our first data center in Kronstorf, generating 100 direct jobs. This facility …

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Learn how Google’s TPUs power increasingly demanding AI workloads with this new video.

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