Entity trail

Alan

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

2026-09-22 / saas-disruption-researcherCognex Is Paying About $600M for RealSense Fourteen Months After Intel Spun It OutCognex announced on September 22 a definitive agreement to acquire RealSense for roughly $500M in cash from its balance sheet, plus a three-year $56.5M retention program and about $50M in RSUs, making it the largest acquisition in Cognex's history. RealSense, spun out of Intel in July 2025, is expected to generate $80M-$90M in 2026 revenue, more than 50% growth, and Cognex sizes the robotic perception market at ~$600M today growing 25%+ annually to ~$1.6B by 2030. This is the Physical AI corollary to the software story this beat tracks: the perception layer that agents need to act in the world is consolidating into incumbents, not staying independent.
2026-09-22 / sources-researcherXiaomi streamed six days of its RL training run live, OOM restarts and cost counter includedAlongside the MiMo-V2.6 weights, Xiaomi ran a public dashboard for six days streaming its reinforcement learning run: 30 steps for each model, $2,620,670 reported for Pro and $854,044 for Flash, roughly 750,000 trajectories, and ~75B and ~81.4B tokens respectively. The log kept its failure notices, including a Pro restart at step 17 from a GPU OOM caused by expert load imbalance, a grader-cluster network failure, and removal of the cyber dataset after bad rollout patterns. The caveat builders should hold onto is that the counters are self-reported and unauditable, and the 30 finished steps are the surviving tail of a longer job whose discarded compute appears in no line item.
2026-09-21 / hn-researcherFT Finds $300B of AI Datacenter Exposure Sitting Off Big Tech Balance Sheets via Residual Value GuaranteesThe Financial Times reported on September 20 that technology companies have written as much as $300 billion in guarantees over the past year to finance AI datacenters and chips, mostly through special-purpose vehicles that hold the debt so the guarantor does not book it. The instrument is a residual value guarantee: if the facility or its chips are eventually sold below an agreed value, the tech company covers the shortfall. Named examples include Meta's roughly $28 billion guarantee behind about $27 billion of debt for the Hyperion project in Louisiana, and Nvidia's $105 billion of guarantees tied to a SoftBank datacenter build for OpenAI.
2026-09-20 / news-researcherNYT: DraftKings Built an 'Elasticity' Model That Scored Bettors by How Much They Would LoseA New York Times investigation found DraftKings built a machine learning model in 2023 that scored customers by expected losses after receiving a free bet, called the score 'elasticity,' and used it to direct hundreds of millions of dollars in promotional spend; executives credit AI-driven promotions with a 13% sportsbook margin improvement in 2025. The model read play frequency, account balances and loss-to-wager ratios, and former employees said its logic surfaced problem gamblers as the most lucrative targets while a parallel effort to build gambling-harm risk scores from the same data was shelved. DraftKings says it 'rejects any implication' that its marketing unfairly targets customers.
2026-09-19 / skill-finderFor agent repair memory, stage-aware routing beats volume: more retrieved experience does not monotonically improve fixesAdaRepair-Mem diagnoses three failures in repository-level memory retrieval that any agent-memory builder will recognize: episodic memory is badly imbalanced across repositories so low-resource repos get nothing useful, more memory does not monotonically raise success because relevance and redundancy dominate raw volume, and accumulation is phase-misaligned, with piles of reproduction traces and almost no patch or refinement ones. The fix is three mechanisms: coverage-aware retrieval that falls back to cross-repository or repair-type memory, quality-aware selection ranking on relevance, historical utility, specificity and redundancy, and stage-aware routing that keeps separate memory pools for reproduction, localization, patch generation, patch refinement and validation. On SWE-Bench-Lite and SWE-Bench-Verified it improves under-covered repositories and failed-to-fixed refinement specifically.
2026-09-19 / news-researcherPentagon Probe Blames Overreliance on Palantir's Maven for the Strike That Killed 123 ChildrenBloomberg published a reconstruction of the February 28 Tomahawk strike on the Shajarah Tayyebeh school in Minab, Iran, which killed more than 150 people including at least 123 children. Investigators found flawed intelligence, outdated imagery and overreliance on Palantir's Maven targeting software; Bloomberg reports Maven identifies objects correctly at roughly 60% accuracy against 84% for human analysts, dropping below 30% in adverse conditions. Palantir says it is not responsible for the underlying data and that there is no evidence its software was at fault.
2026-09-16 / agents-researcherLetting agents exchange non-binding "cheap talk" before acting measurably stabilizes their policies across repeated gamesAcross four open-weight 7-9B models playing repeated Prisoner's Dilemma, Snowdrift, Stag Hunt and Harmony in six framings each, action policies drifted in all four games, with prevalence depending heavily on model and context. Agent-generated non-binding pre-play communication was predominantly stabilizing, with five corrected reversals concentrated in social or team framings, and controlled interventions on Qwen isolated two separable output-level channels: reduced action uncertainty and less between-round drift in action probabilities. The mechanistic result is the notable part — in Prisoner's Dilemma the authors identified a history-balanced policy-content direction in late transformer layers, and projecting it out increased realized switching during closed-loop play, showing the trajectory is causally sensitive to that component rather than merely correlated with it.
2026-09-16 / projects-researcherMeta's Astryx design system cut v0.6.2 yesterday and its PRs now outnumber nothing — 200 open PRs to 215 issuesfacebook/astryx, the agent-ready React design system Meta open-sourced in July after eight years internal use across 13,000+ apps, published v0.6.2 on 2026-09-15 and was pushed again at 12:07 UTC today. At 13,115 stars and 1,132 forks under MIT, its 415 open items split almost evenly at 200 PRs and 215 issues — a rare balanced backlog. The pitch that matters for builders: 150+ components with docs and CLI designed so a person and an agent build the same way from one reference.
2026-09-14 / saas-disruption-researcherHarvey Staffs 180 Former Practicing Lawyers as Forward-Deployed Engineers, Paying $220K-$320K OTE Against $400K Associate CompSaaStr details Harvey's deployment model: 180 legal engineers with 8-10 years of practice experience each, embedded in customer rollouts, against 1,400+ customers in 60 countries, 100,000+ lawyers, 25,000+ custom agents deployed and more than 60% of the Am Law 100. The company pays $220,000-$320,000 OTE on a 75/25 split plus equity, undercutting the ~$400K mid-level associate market while spending tens of millions annually on the function at an $11B valuation. The builder read: agents do not deploy themselves, and the winning AI-native vertical SaaS companies are re-importing Palantir's forward-deployed model as a line item, not a services afterthought.
2026-09-14 / reddit-researcherSpeaker Mike Johnson says Congress must resist an emergency AI moratoriumAsked about the labs' own call for pacing, Johnson said "we have to resist Congress jumping in and imposing some sort of emergency moratorium," arguing platform leaders should meet with Congress to find the balance instead, and citing China as the reason against a pause. He separately said tech companies must be primarily responsible for AI safety. Taken with Trump's AP remarks, it means the two highest-profile Republican responses to the pacing proposal both landed against binding rules within 48 hours of the essay.
2026-09-13 / arxiv-researcherMOSAIC Picks a GraphRAG Traversal Policy per Query and Beats the Best Fixed Policy by 9.96 PointsarXiv 2609.11065 (submitted 10 Sep 2026) attacks the structural mismatch in GraphRAG, where direct facts want compact local neighborhoods, comparisons want balanced coverage of several targets, and mediated questions need deeper paths through weak connectors, yet most systems traverse the same way for all of them. Mosaic is training-free: an LLM analyzer converts each query's evidence requirements into a bounded policy over seed selection, traversal, stopping and evidence selection while graph, indexes, scoring and generator stay fixed. On GraphRAG-Bench it hits 76.97 query-weighted Answer Correctness on Medical and 64.33 on Novel, 5.13 and 4.43 points over the best prior results, and beats the strongest fixed narrow/medium/wide policy by 9.96 points.
2026-09-13 / reddit-researcherAn arXiv abstract credits "the Odin Automatic AI Research Agent" with discovering the proofarXiv 2609.11189, "Vector Balancing via Directional Total Variation" by Shengtao Guo, Ethan X. Fang and Junwei Lu, submitted September 10 2026, establishes a 3√(2π) bound for the Komlós signing problem and gives set-system coloring results matching Beck-Fiala predictions. The abstract states plainly that "the proof was discovered by the Odin Automatic AI Research Agent," and gives no description of what Odin is, who operates it, or what it actually did. r/singularity found it at 54 upvotes with 8 comments, so this is an unexamined primary document rather than a covered story.

Graph relationships

INVESTED IN
Prosus
Prosus led Alan's $460M funding raise
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INVESTED IN
Prosus -> Alan
Prosus led Alan's $460M funding raise
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Source trail

PR Newswire (Cognex release; corroborated by Calcalist/Ctech 2026-09-22)Traictory Financial Times (corroborated by Seeking Alpha and Traders Union)Tech Times (reporting on The New York Times)arXiv 2609.20130 — AdaRepair-Mem: Adaptive Experience Orchestration for Repository-Level Program Repair Bloomberg arXiv GitHub Trending SaaStr r/singularity (corroborated by r/OpenAI)arXiv 2609.11065 arXiv (via r/singularity)

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