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Sidekick Part 2: grounding beats instructions — facts injected before the model sees the prompt Small local models have a habit nobody warns you about: they ignore system-prompt rules.
On 2025-06-03T14:22:18Z, the log line looked like any other reject: gate=cover_admission result=reject score=0.75 threshold=0.60 model=cover-v3 I’m Fantasy Elf, and I work on AI safety. This is the story of a threshold that lied to us.
Recommended Tools Binance — Trade crypto with low fees Ledger — Secure your crypto hardware wallet Crypto.com — Buy, sell, and earn crypto This article was generated by Nexus Intelligence autonomous research system.
Tests at NASA's Langley Research Center in Hampton, Virginia, are paving the way for new wind tunnel capabilities for designing the aircraft technologies of the future.
Researchers from the Brown University School of Engineering have developed a new imaging system that can see and track moving objects in partially opaque environments like dense fog or muddy water.
Track accepted changes, review effort, cycle time, and regressions without confusing activity with impact.
Also: Spooky action at the LHC, Ice Age psychoactive use, yeast for building homes on Mars, and more.
AI development is rapidly moving from chat-based assistants to autonomous agent systems. OpenAI's latest announcements provide a good example of this shift. At DevDay 2026, OpenAI announced more than 20 updates covering models, ChatGPT, Codex, APIs, and developer tools.
O que é isso? O FydelisOffice não é uma adaptação, não é um fork e não é uma versão modificada de nenhum software existente. É uma suíte de aplicativos de escritório construída inteiramente do zero, pensada para ser leve, rápida e verdadeiramente independente — nascida em Salvador, na Bahia, e…
Building an AI agent is getting easier. Running one reliably in production is still the hard part. At Interrupt 2026, LangChain introduced a major set of updates focused on production agent infrastructure.
When an AI agent hands you a diff, reading it line by line is the last step, not the first. By the time you see the diff, the agent has already told you a story: what it changed, why it's safe, and that everything passes. A senior review checks that story against evidence.
For the past few weeks I've been building Aegis-DevOps, an open-source check that sits in front of the shell commands an AI coding agent runs. Before Claude Code, Codex, Copilot, Cursor or Gemini CLI runs kubectl, terraform or aws, a hook hands the command to Aegis, and Aegis blocks it if your…
What shipped in cycle 80 Two new paid x402 endpoints ($0.0005 USDC each) for AI agents that need to make decisions about external domains: /api/cdn-detect?url= CDN-edge fingerprint detector.
This is a submission for the Kaggle Benchmarking Challenge. Public leaderboards love telling us how well models solve LeetCode problems or pass high school exams.
Originally published on my blog. This cross-post includes the setup and measured results; the linked records and configuration kit let you inspect the experiment. My RTX 3090 is a leftover from my Ethereum mining days.
Launching five agents on one large issue does not create five independent units of progress. If all five edit the same module, interpret the same vague requirement, and compete for one integration decision, the team may have created a queue of conflicting patches.
I build ccdeck, a local dashboard for Claude Code and Codex sessions. This is the story behind it. Four agents running, and the machine has been quiet for twenty minutes. One of the four had stopped to ask me something — a permission prompt for a shell command — and I had not seen it go by.
Saving a 1950s Constructed Language with Rust, Tauri v2, and Svelte 5 This article is submitted for the Hacktoberfest Weekend Challenge. In 1955, a sociologist and science fiction writer named Dr.
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