Auto-aggregated global tech articles · 163 posts
Ryan chats with Greg Jennings, VP of Engineering for AI Products at Anaconda, about what it takes to build a secure-by-default AI coding agent, why prompts shouldn't be treated as strict security guardrails, and how Anaconda is using strategic acquisitions to secure the AI software supply chain.
I’m the author of a new preprint on repeated-query auditing of LLM brand recommendations, and the founder of Rankfor.AI. The practical question: how many times should we repeat a prompt before comparing results? The paper applies generalizability theory: estimate variance components from a pilot, th
FastDB is an (persistent) in-memory key/value store in Go. I made some updates to comments I've got (A big thank you to ShotgunPayDay) Test coverage : 96.54% https://codeberg.org/marcelloh/fastdb A test does the following: - Populate 1,000 items with rdom.Intn(1000000). - Inside for range b.N, exec
METR has been tracking one number since 2019, and it is not a benchmark score. It is a duration: the length of a task, measured in how long a human expert needs, that a frontier agent can finish on its own. The headline result from their NeurIPS 2025 paper is that this duration has been doubling ro
I hadn’t really touched one of my AI projects, Vivify Face Swap, for about a month. No major updates, no new campaigns, no big SEO changes. Traffic stayed surprisingly stable the whole time. Then around August 30, it suddenly dropped. That was the interesting part for me. Nothing obvious chan
Benchmark scores (GPT-6 uses a harness for ARC-AGI-3, and is at about 60% without one): https://preview.redd.it/v7nik4nbtfnh1.png?width=1378&format=png&auto=webp&s=a6ec04b5b87e7f2dce748b275d878ab0243f751d https://openai.com/index/gpt-6-astra/ submitted by /u/we_are_mammals [link]
A D2C technology stack is often discussed as a shopping list: commerce platform, OMS, CRM, analytics, payments, search, loyalty, customer support and increasingly AI. That framing is useful when a brand is starting. It becomes dangerous when the brand begins to scale. The reason is simple: custome
Shared AI sessions make a ton of sense. We already do a janky version of this today. I talk through something with ChatGPT, copy the useful parts to a friend, and they keep going from there. Or I share the conversation. Or two people work through the same problem together. Nothing weird about t
If you are an active user of AI-powered IDEs like Cursor, VS Code with Copilot, or Windsurf, you already know the sinking feeling of seeing this notification: "You have used 100% of your fast premium requests for this billing cycle." Suddenly, your snappy, context-aware coding assistant slows to
Introduction: The Death of the Static License For decades, technology leadership operated in a world of predictable, seat-based software licenses. You bought a seat, you knew the price, and your FinOps team rarely had to hunt for "top offenders." But the era of agentic AI has introduced a fundamen
Introduction: The Dawn of the Agentic Era We are witnessing a fundamental shift in the nature of software engineering. For decades, artificial intelligence functioned like a "Line Cook": deterministic, following rigid recipes to produce predictable outputs. If the grill was at the right temperature
I’m a full-stack developer with nearly six years of experience Since the start of the year, I’ve integrated AI tooling heavily across my day job (Claude Code) and freelance work (Gemini Antigravity). The trade off is clear, I write significantly less code, but I ship significantly more. Taking time