AI shifts

開発者向けツールで新しい論点が浮上

Most of the document parsers fail on real world challenges like complex tables, handwritten documents, historical document scans, equations, multi-column layouts, complex reading order, etc. We built Unsiloed Parser to handle exactly these cases. Our latest parser v3.1 achieved #1 rank and scored 88.0 strict pass-rate on olmOCR-Bench. We ran the evaluation across 1,403 PDFs and 8,413 unit tests using the unmodified upstream Allen AI scorer (olmocr==0.4.27) and found Unsiloed beats 18 other OCR services, including GPT-5.5, Claude Opus 4.7, LlamaParse, Reducto, Azure Document Intelligence, AWS Textract, and Unstructured. When we dug deeper into the failure cases, we found many errors were not OCR errors but things like \frac vs \dfrac, whitespace differences, or equivalent LaTeX renderings. We ran a secondary LLM-as-Judge evaluation to classify real misses vs semantic equivalents, which lifts the corrected score to 94.8 (explained deeply in the blog post). Blog with full methodology and examples: https://www.unsiloed.ai/blog/unsiloed-ai-achieves-1-rank-on-... Evaluation Code for reproducibility: https://github.com/Unsiloed-AI/unsiloed-olmocr-benchmark Feel free to post your messiest PDFs in the comment and we'll run it through Unsiloed parser and share the output here.

Pope、新しい論点が浮上

Pope Leo XIV warned of the risks of AI and unconstrained technological power in his first major papal document released on Monday. Magnifica Humanitas is the pope's manifesto on "safeguarding the human person in the time of artificial intelligence," in which he discusses the dangers of AI-powered warfare, the effects of AI on labor, and […]

TechCrunch、新しい論点が浮上

Pope Leo XIV's first encyclical uses AI as a lens to diagnose older problems: concentrated power, eroding democracy, and a tech elite that shapes the world to its own advantage.

Incomplete、新しい論点が浮上

No one wants to live next to a noisy computer warehouse and communities across the country are successfully fighting them.

開発者向けツールで新しい論点が浮上

A Claude Code and OpenCode skill library that covers the full project and engagement lifecycle through 10 stage-aligned agents and 62 workflows: * Shaping: MEDDIC qualification, ROM estimate, SoW draft * Mobilisation: Charter, RACI, governance, kickoff * Planning: Plan, capacity, budget baseline, estimate challenge * Execution: Weekly status, RAID, standup digests, blocker triage * Governance: Steering packs, exec summaries, stakeholder updates, escalation memos * Risk and change: Risk deep-dives, change requests, mitigation, escalations * Technical-quality oversight: SDLC, QA, systems engineering, secure-SDLC health checks * Commercial: Budget tracking, margin analysis, change orders, invoice backup * People: Team health, attrition risk, ramp plans, one-to-one prep * Closure: Checklist, retrospective, lessons, case study, handover Outputs are audit-ready markdown, each linked back to its charter revision, source documents, model, and prompt hash. The engagement charter is a 'living constitution' that every artifact reconciles to. Anything leaving your machine (steering decks, exec memos, change orders, SoWs) passes through an adversarial red-team gate first. Local-first, and engagement data never leaves your disk. npx @systima/project-delivery-framework https://github.com/systima-ai/project-delivery-framework We built this because the "AI for project management" space is almost entirely tooling for product management. The framework is for the person running the multi-month, multi-stakeholder engagement (budget, the client, the team, and the contract, etc).