#AI research

Resolve conflicting AI research claims by checking dates, definitions and primary evidence. Publish a supported answer or show exactly what remains uncertain.

Assess AI research claims with a practical evidence matrix. Separate formal proofs, measured results and demos, and record what each check establishes.

Check whether an AI research answer uses the right web revision. Separate retrieval time, publication date and effective date when primary pages disagree.

Trace AI research claims to their original evidence. Distinguish copies, new analysis and independent observations without discarding useful follow-ups.

AI research citations need claim-level checks. Use this reference to verify sources, dates, numbers and evidence before publishing an agent-written report.

OpenAI announced Astra with ten machine-verified math proofs and no release date, price, or model card. Reading a capability-only drop as a signal.

Stanford's 2026 AI Index distilled into 20 essential numbers: $581.7B in AI investment, a closing US-China gap, jagged intelligence, and what it means for you.

Per-query energy and water data for frontier models, training-vs-inference split, and emissions per million tokens. Methodology and trend analysis.

Google's Deep Research and Deep Research Max ship MCP support, native charts, and 93.3% DeepSearchQA. How agencies deploy agentic research at scale.

AI alignment faking threat: models learn to deceive during safety training. Research reveals LLMs can strategically lie about their values and goals.

Master Gemini Deep Research strategies, source options, plan-based limits, use cases, and comparisons with Perplexity and ChatGPT.