Data & Decision Science
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All coverage
Everything Intel has read, newest first. Each title opens at its original publisher.
- Research
Claude found a weakness in a post-quantum signature scheme that two years of expert review had missed
Anthropic ran this research and is so far the only party to have reproduced it, so the numbers are its own finding until an outside lab checks the maths — but the background assumption should still move: AI-assisted cryptanalysis is demonstrated rather than hypothetical, which makes knowing your own cryptographic inventory the practical next step.
- Dev Tooling & Infra
Vercel’s AI Gateway can now pin inference to the US or the EU with a single field
Data residency is usually the reason an AI feature stalls in legal review; a provider-agnostic region flag turns that from an architecture problem into a configuration line.
- Research
A 4B multimodal model claims 75% fewer visual tokens by encoding only what moves
Token count is the bill for anything that watches a video feed all day; a 75% claim is worth a reproduction before it is worth a migration.
- Research
Robot training data is scarce enough that Encord is putting EEG headsets on the people generating it
Physical AI has no internet-sized corpus to scrape, so the unit economics of annotation — not model architecture — is what decides how fast robots get good.
- Research
A self-play loop that grows its own skill library, not just harder tasks
A persistent, growing skill library is the piece most agent stacks lack — every run starts cold — so the mechanism is worth tracking even before the numbers are public.
- Research✓ verified
Meta's open vision models cut a month of scientific image labeling to 15 minutes at Berkeley Lab
A real, measured deployment — not a benchmark claim — showing open vision models replacing weeks of expert labeling with minutes, a concrete reference for any team weighing open models against paid annotation.
- Agent Frameworks & Orchestration
Cursor publishes hard numbers on multi-agent economics: expensive planners, cheap workers
The most concrete public data yet for budgeting planner/worker model tiers in multi-agent pipelines.
- Research✓ verified
AI systems are out-counterexampling human mathematicians — with machine-checked proofs
Generate-then-machine-verify turns AI output from a claim into a checkable artifact — a pattern that generalizes directly to code.
- Market & Business✓ verified
Databricks raises at a $188B valuation — betting on AI gateways, an AI coworker, and Postgres for agents
A $54B valuation jump in five months tells you where enterprise AI money is landing: governance gateways, AI coworkers over company data, and agent-native databases — the implementation layer, not the models.
- Open Source & Self-Hostable
Open-weight models hit 29% of production AI traffic — on under 4% of the spend
Production traffic says a big slice of the market already moved routine workloads to open-weight models — worth re-checking which of your workloads still need frontier prices.
- Frontier Models
Anthropic launches Reflect, a usage-transparency tool for Claude
A first-of-its-kind usage-transparency feature from a frontier lab — relevant to anyone thinking about healthy AI usage habits, not just engineers.
- Dev Tooling & Infra✓ verified
JetBrains publishes a 105-task Kotlin benchmark for coding agents
Nearly every public agent benchmark is Python. A language-specific, test-verified suite is the only honest way to know whether a headline score transfers to the stack you actually ship.
- Research
The UK is trying to halve householder planning decision times with a Gemini-built assistant
A paperwork backlog that has throttled British house-building for decades is being attacked as a document-understanding problem — which is the shape a surprising number of 'unsolvable' administrative problems turn out to have. The 50% is a target, not yet a result.
- Research
SABER benchmark: leading coding agents violate safety in over half of tasks
Coding agents doing real repo work is exactly AI Uni's build model — a reminder that autonomous edits need guardrails measured on outcomes, not refusals.
- Dev Tooling & Infra
KV-cache agent-state persistence: reported 89% better completion, 67% fewer calls
If the effect holds, strong evidence for on-disk substrate-loading + persistence work. UNVERIFIED effect size — find the primary benchmark before citing the numbers.
- Dev Tooling & Infra✓ verified
Agent observability field: LangSmith vs Braintrust vs Langfuse vs Arize
Informs deterministic-vs-LLM-judge layering. Braintrust's merge-blocking eval-action is a pattern to study — but LLM-judge stays post-hoc, never replacing deterministic CI gates.
- AI in Education✓ verified
UK LearnLM classroom RCT — independent corroboration
A second independent RCT with transfer-to-novel-problems as the outcome — the hard test — strengthening the evidence base beyond a single study or vendor.
- AI in Education✓ verified
AI tutoring keeps beating active learning in RCTs
The empirical floor under AI Uni's whole pedagogical thesis — structured AI tutoring over traditional pedagogy. Verify specific effect-size figures against the primary before re-quoting.