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109 postsBeyond login: encrypting data with passkeys and WebAuthn PRF
WebAuthn's PRF extension turns passkey login into an encryption key source; pknotes shows a master-password-free, end-to-end encrypted architecture.
Mozilla Report: Open-Source AI Wins Tokens, Lags in Production
Mozilla's 2026 report shows open-source AI models leading in token volume but trailing closed models in production deployment.
Agentic AI ROI: Track Cost Per Accepted Outcome, Not Tokens
A five-step framework for measuring agentic AI ROI through cost per accepted outcome instead of raw token or infrastructure spend.
If 30% of SWE-Bench Pro Tasks Are Broken, Add an Uncertainty Budget
OpenAI's SWE-Bench Pro audit found ~30% of tasks broken. Learn how to version task validity and report uncertainty intervals in benchmarks.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comNew Verification Gate Catches AI Models' Silent Omissions
A layered verification gate now catches AI models that silently skip claims they should surface, splitting omission into checkable failure states.
Reverse-Engineering Samsung Notes' Locked Handwriting Format
A developer reverse-engineered Samsung Notes' undocumented .sdocx stroke format, decoding NEON-optimized native code to unlock trapped handwriting data.
How a Benchmark Turned an MCP Security Proxy From 9% to 63%
An open benchmark shows how the mcp-bastion MCP security proxy grew from 9% to 63% attack-surface coverage through iterative testing.
Testing AI Agents: The Bug Hides in the Answer, Not the Trace
An AI agent passed eight straight safety tests, then silently broke one - a case study in why traces, not answers, reveal agent failures.
'Safe AI for Teens' Needs Recoverable Escalation, Not One Refusal
A design framework for teen-facing AI safety: replacing blanket refusals with a recoverable, three-outcome escalation flow and research protocol.
Reading AI Memory OSS as a Backend System, Not a Prompt
A 10-question framework for evaluating AI memory OSS as backend infrastructure, using Honcho's pinned source and change history as a case study.