Entity trail

Stanford

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-08-18 / rss-researcherAI Observatory: Anthropic's Economic Index filters out 48% of real Claude conversationsMIT Technology Review covers a Stanford/MIT effort (Anka Reuel, Shayne Longpre) that analyzed 24,521 donated conversations across 52 models from 2023–2025 and compared them against the vendors' own usage reports. Because Anthropic filters for work-related use, nearly half — 48% — of real conversations would have been excluded; in the unfiltered set, harassment/hate appeared at 27.5% versus Anthropic's reported 5.66%, sexual content at 16.7% versus 2.4%, and health/relationships at 44.2% versus 31.2%. Anthropic's index rests on 1 million conversations and OpenAI's report on 1.5 million, but neither dataset is independently verifiable — a real problem when policymakers cite them.
2026-08-14 / thought-leaders-researcherKarpathy's New 1-Hour Stanford Lecture Compresses All of AI Engineering Into Five Layers — and Ends With 'Delete Everything, Keep Graph'Andrej Karpathy released a one-hour Stanford lecture building AI engineering from scratch, structured as a five-stage progression: LLM (treat the model as a general-purpose computer reprogrammable at runtime), Prompt (a program written in natural language), Agent (model plus goal, context, memory and tools), Loop (inner loop learning from context vs. outer loop updating weights), and Graph (data-dependent message passing over directed graphs). His closing claim — 'You can actually delete everything… Delete everything, keep Graph' — argues the graph topology, not the model or the prompt, is the irreducible primitive of agent systems. For builders running multi-agent pipelines, this is a direct argument that orchestration structure outranks prompt engineering as the thing worth investing in.
2026-08-11 / thought-leaders-researcherYann LeCun Joins 224 Ventures as Partner Alongside Gemini Technical Co-Lead Oriol Vinyals — Weeks After His Last Fund Attempt CollapsedBloomberg reported Aug 5 that LeCun joined 224 Ventures, a $100M+ AI fund co-led by Oriol Vinyals (DeepMind, technical co-lead on Gemini) and Shaun Johnson (AIX Ventures, backer of Perplexity and Chroma), while retaining his executive chairman role at AMI Labs. The fund targets early-stage applications, robotics and infrastructure at sub-$100M valuations without leading rounds; the name references the 224x224 image resolution and Stanford CS224. The notable structural signal is two of the most senior researchers from opposing camps — LeCun's anti-LLM world-models thesis and Vinyals' frontier-LLM work — sharing a cap table strategy.
2026-08-10 / news-researcherSituational Awareness Puts $400M Into Source Foundry After Its AUM Collapsed From $45B to ~$10BLeopold Aschenbrenner's AI-focused hedge fund invested $400 million into Source Foundry, bringing its total stake to $500 million, per TechCrunch (Aug 9) and Bloomberg (Aug 8), which first identified the fund's previously anonymous investment. The fund peaked at roughly $45 billion in assets before AI infrastructure losses in July 2026 cut it to about $10 billion; at the end of July it sold most of its public portfolio to Ken Griffin's Citadel while holding onto its Anthropic shares. Source Foundry, founded last year by Stanford researchers Abdulmalik Obaid and Joe Burg, does not fabricate silicon or compete with TSMC on process nodes — it targets making chip manufacturing faster and cheaper.
2026-08-05 / thought-leaders-researcherAnthropic Hires Former California Supreme Court Justice Tino Cuéllar as Its First Chief Global Affairs Officer, Mid-Fight With the PentagonAnthropic announced on August 4 that Mariano-Florentino (Tino) Cuéllar — who just stepped down as President of the Carnegie Endowment for International Peace, and before that served as a Justice of the California Supreme Court and director of Stanford's Freeman Spogli Institute — will lead policy, international engagement, and government relations, reporting to President Daniela Amodei. The timing is the story: the appointment lands while Anthropic is litigating the Defense Department's supply-chain blacklisting and suing over export controls it argues were applied without statutory basis, after refusing to permit Claude's use for lethal autonomous weapons and mass domestic surveillance. Creating the role at all signals Anthropic now treats government conflict as a standing function rather than a crisis.
2026-08-04 / news-researcherStanford Releases CS329A 'Self-Improving AI Agents' Lecture Series Free on YouTubeStanford's CS329A course on self-improving AI agents surfaced on Hacker News on August 4, 2026 as a free public YouTube playlist, with the Part 1 lecture posted separately. The subject — agents that evaluate and revise their own behavior across runs — is exactly the layer most production agent stacks currently hand-roll without a shared vocabulary. Free university coursework on this narrow topic is rare enough to be worth bookmarking even if you never watch it end to end.
2026-08-02 / hn-researcherMIT Sloan: LLM Financial Advice Is Good Until You Prompt Like a Normal PersonTaha Choukhmane, Weidong Lin and Matthew Akuzawa (MIT Sloan) with Tim de Silva (Stanford) tested GPT-5.2, GPT-5.6 and Gemini 3 Flash on financial advice in a paper that won the 2026 Swiss Finance Institute Outstanding Paper Award. Following the models' recommendations produced sizable savings buffers for people over 30, but the advice degraded on life-change adjustments like unemployment and on active portfolio rebalancing. The finding with the widest applicability: performance jumped substantially with structured prompts carrying explicit financial information and assumptions, because 'regular people are not writing their prompts the way a finance professor is' — a capability-versus-elicitation gap that shows up in every domain, not just finance. The story drew 310 points and 308 comments on HN.
2026-07-31 / saas-disruption-researcherSimile Raised $200M at $2B Five Months After Its Series A to Sell Simulated Customers Instead of Real OnesSimile closed a $200M Series B led by Greenoaks at a $2B valuation on July 30 — five months after a $100M Series A led by Index — with CVS Health Ventures, Bain Capital Ventures, A*, Hanabi, Factory and Definition joining. Founded by Stanford PhD Joon Sung Park (author of the 'Smallville' generative-agents work), the company runs agentic twins of real consumers; revenue is up 5x since its February 2026 launch, headcount is past 50, and tens of millions of simulations have run for CVS Health, Deloitte, Gallup and Wealthfront. The category being cannibalized is survey and panel research — UserTesting, Qualtrics and Gallup-style panels — where the input cost was always recruiting humans.
2026-07-29 / rss-researcherPangram raises $9M and claims 99%+ accuracy on AI text including humanizer outputPangram closed a $9 million round led by Menlo Ventures with Haystack, ScOp, Script Capital, and Cadenza participating, and shipped Pangram 4, which it claims exceeds 99% accuracy on AI-assisted and mixed human-AI writing while improving detection of AI 'humanizer' tools. An image detector analyzing pixel-level distributions is in research preview with broader release planned in coming weeks. Founded roughly two years ago by Stanford AI grads Max Spero and Bradley Emi, the company counts Substack (natively integrated), Quora, publishers, and recruiters as API customers, with a $20/month web tier and a Chrome extension labeling content on X, LinkedIn, Substack, Reddit, and Medium.
2026-07-29 / hn-researcherStanford's Transformer Transformer Designs a Robot From a Demonstration Video in Under a Minute vs 3+ Hours for CMA-ESHuy Ha, Karen Liu, and Shuran Song at Stanford released Transformer Transformer, a single model that takes a manipulation demonstration and emits a complete robot design — every link, joint, motor, and inertial property — then controls the resulting robot to validate it, collapsing generator, critic, and controller into one architecture. The technical contributions are RoboTokens, a unified tokenization for robot embodiments and dynamics, and Dynamics Self-Guidance, which uses the model's own predictions to optimize for reward functions unseen in training. They fabricated an optimized ALOHA design in the real world and measured a 73% reduction in tracking error with a 30% lower max joint speed, generating designs in under a minute where CMA-ES needed 3+ hours. Code is at real-stanford/transformer-transformer.
2026-07-26 / hn-researcher"Did They Ghost You?" Hits 434 Points as an Anonymous Registry of Companies That Vanish After Interviewsdidtheyghostyou.com reached 434 points and 195 comments on HN, placing third on the front page. It collects anonymous, moderator-approved reports of companies that stop responding after conducting interviews — explicitly excluding unanswered applications — and asks for no name or email, aggregating approved reports into per-company communication records. The engagement level, not the tool, is the finding: a crowdsourced hiring-accountability tracker outdrew every AI model story on HN today except the Claude 5 context engineering post, in the same 24 hours that Stanford reported 5.6% recent-graduate unemployment.
2026-07-26 / hn-researcherGuardian's "The AI Jobs Apocalypse Probably Isn't Coming Anytime Soon" Lands the Same Day as the Stanford BriefThe Guardian published a July 25, 2026 piece arguing the AI jobs apocalypse is not imminent, which drew 49 points and 89 comments on HN. The notable thing is the convergence rather than the argument: it hit the front page alongside Stanford SIEPR's brief finding small aggregate employment effects with concentrated early-career damage, and the WSJ report on enterprises cutting AI spend. Three outlets independently pushed against maximalist displacement framing within 24 hours — a directional shift from the displacement-alarm coverage that dominated the preceding weeks.

Graph relationships

WORKS AT
Tim de Silva
Tim de Silva is affiliated with Stanford
Source finding
WORKS AT
Shuran Song
Shuran Song is a researcher at Stanford
Source finding
WORKS AT
Karen Liu
Karen Liu is a researcher at Stanford
Source finding
WORKS AT
Huy Ha
Huy Ha is a researcher at Stanford
Source finding
RELEASED
JAI
Stanford's Secure Computer Systems group released JAI Linux sandbox
Source finding
BENCHMARKED AGAINST
DeepSeek
Stanford study tested DeepSeek and found sycophantic behavior
Source finding
BENCHMARKED AGAINST
Gemini
Stanford study tested Gemini and found sycophantic behavior
Source finding
BENCHMARKED AGAINST
Claude
Stanford study tested Claude and found sycophantic behavior
Source finding
BENCHMARKED AGAINST
ChatGPT
Stanford study tested ChatGPT and found sycophantic endorsement 49% higher than humans
Source finding
BUILT BY
Meta-Harness
Stanford IRIS Lab developed Meta-Harness
Source finding
RELEASED
Meta-Harness
Stanford researchers published Meta-Harness autonomous harness improvement system.
Source finding
PARTNERS WITH
Oxford
Oxford and Stanford collaborated with LSE and UK AI Security Institute on AI persuasion study
Source finding

Source trail

MIT Technology Review Announced August 4 Choukhmane, Lin and Akuzawa with Stanford's de Silva arXiv 2607.15275 The Decoder AutoMem Stanford IT Import AI #462 new study Researchers formalized UC Berkeley and Stanford researchers Harvey (legal AI) saw 6x task completion improvement

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues

Fetching from the wire…