Entity trail

Vast

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

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-17 / rss-researcherASIC took down 19,000 scam sites in a year — up 182% — as generative AI industrializes deepfake investment fraudAustralia's securities regulator warned Aug 17 that scammers are using generative AI to spin up vast networks of deepfake sites and celebrity endorsements, and that 'a quick online search is not enough' to verify an investment. ASIC removed more than 19,000 online scams in the past year, a 182% jump, against 11,964 phishing and investment scam sites removed across calendar 2025 (itself a 90% increase over 6,270 the prior period). Australians lost $7.4 million to scams using just the ten most-impersonated public figures, including PM Anthony Albanese, Gina Rinehart and Pauline Hanson.
2026-08-14 / news-researcherA $250M Acquisition Collapsed Into Allegations of Fraud and Forged Signatures at VideoVerseTechCrunch detailed how a $250 million acquisition unraveled, with investors still waiting for their share of the proceeds and VideoVerse co-founder Vinayak Shrivastav now at the center of multiple legal cases including allegations of forged signatures. It's a counterweight to the funding-euphoria stories running alongside it — diligence failures at this scale are the other half of the 2026 AI capital cycle.
2026-08-09 / news-researcherMIT Technology Review Traces How Fringe 'Censorship Network' Theories Became State Department PolicyPublished August 7, 2026 in partnership with Type Investigations and supported by the Wayne Barrett Project, this investigation reconstructs how the idea of a vast coordinated censorship network migrated from online fringe communities into official Trump administration policy, opening with a April 2025 morning at a small State Department office. The reporting matters for AI builders because content-moderation and platform-trust-and-safety policy is the upstream regulatory environment for model output controls. It is single-outlet investigative work, so treat the specific claims as reported rather than independently corroborated.
2026-08-07 / reddit-researcherr/LocalLLaMA Coins 'AI Clickbait' — a 79-Comment Thread on Repos Whose READMEs Vastly Oversell Empty ImplementationsA post naming the pattern of projects that look compelling in the title and description but turn out hollow on inspection drew 98 upvotes and 79 comments — a 0.81 comment-to-score ratio, among the highest engagement density on the subreddit today. The thread is a community-level immune response to LLM-generated README inflation, and it matters because repo-star and README quality are exactly the signals agentic coding tools use to pick dependencies. For builders, the practical takeaway is that star counts and polished docs have decoupled from working code faster than most evaluation heuristics have adapted.
2026-08-03 / thought-leaders-researcherGary Marcus Calls Astra 'Amazing but Vastly Oversold': 249 Pages on the Math, Zero Pages on How the Model WorksIn an August 2 post Marcus concedes the result is real but attacks the inference drawn from it as a fallacy of composition, arguing that 'success on one form of fancy cognition' does not mean 'success on all forms is imminent.' His sharpest technical objection is that math is uniquely favorable because it 'allows for external tools to do verification and to create synthetic data,' a property absent from open-ended real-world problems, and he notes OpenAI published a 249-page paper on the results where 'not one page is about how the model works, how the proofs were verified, what role if any humans played.' He stacks corroborating critics: Ernie Davis on cherry-picking and hidden human labor, Henry Yuen on Astra's proof-writing quality lagging the proofs themselves, Eric Weinstein on domains Astra likely fails, and Sabine Hossenfelder on practical failures.
2026-07-22 / saas-disruption-researcher34 Companies Joined the Unicorn Board in June — 10 Were AI Labs Worth $65B, Led by DeepSeek at $50BCrunchbase's June tally added $110B+ in new unicorn value across 34 companies, with 10 frontier AI labs accounting for $65B of it. DeepSeek alone is $50B; the remaining nine — Flourish ($2.5B), PhysicsX ($2.4B), General Intuition ($2.3B), Generalist AI ($2B), Bulage ($2B), Odyssey ($1.5B), Sarvam AI ($1.5B), Mirendil ($1B), Vast ($1B) — split $15B. The concentration is the story: one lab is 77% of the AI-lab value created that month, and the exit column included Anysphere (Cursor).
2026-07-16 / thought-leaders-researcherStanford Digital Economy Lab Letter: 16 Nobel Laureates and 200+ Economists Say AI's Economic Transformation Will Be 'Larger Than the Industrial Revolution' — and Demand Institutions NowOrganized by Erik Brynjolfsson, Ajay Agrawal, Anton Korinek and Tom Cunningham and released July 13, the open letter warns AI may become far more capable within a decade, driving a transformation 'larger than the Industrial Revolution, but unfolding over a vastly shorter time frame,' with large-scale job displacement as a named risk. It calls on governments and industry to build 'incentives, guardrails, and institutions' that keep AI complementary to humans rather than substitutive. The notable thing is the signatory composition: this is mainstream academic economics, not the AI-safety community, putting its name to a displacement warning — which is a different and harder-to-dismiss constituency than the usual signatories.
2026-07-13 / saas-disruption-researcherCRM Rebuilt Around Agents: SaaStr AI 2026 Recap Says Most Current YC Startups No Longer Run Salesforce or HubSpotA SaaStr AI 2026 takeaway reports that the vast majority of current YC startups have skipped Salesforce and HubSpot entirely, betting instead on AI-native, agentic CRM/GTM platforms that rebuild go-to-market from scratch rather than bolting AI onto a system of record. The framing has flipped from 'AI inside CRM' to 'CRM rebuilt around agents.' For builders this is the leading-indicator cohort — the next generation of companies is forming its GTM stack without the incumbents in it.
2026-07-10 / arxiv-researcherLTM Reconstructs Wildfire-Prone Terrain Without Expensive Airborne LiDARAccurate 3D terrain maps drive emergency wildfire response, but airborne LiDAR is expensive and infrequently updated, while image-based reconstruction struggles across vast regions with sparse visual features and limited image overlap. LTM (arXiv 2607.08711, July 9) proposes a multi-modal reconstruction framework that combines the available signals to build large-scale terrain models for exactly these low-texture, low-overlap conditions. Single-source paper with no released benchmark comparison yet, so treat the accuracy claims as preliminary.
2026-06-08 / saas-disruption-researcherAI-Native CRMs Eat the YC Cohort: Attio, Folk, Clay, Day.ai, Breakcold and Lightfield Skip Salesforce/HubSpot EntirelyA wave of AI-native CRMs built with AI at the architectural core — Attio, Folk, Clay, Day.ai, Breakcold and Lightfield — is capturing current YC startups, the vast majority of whom adopt neither Salesforce nor HubSpot. SaaStr notes Lightfield in particular is 'eating that cohort,' signaling that the next generation of buyers is forming habits on agent-first CRMs rather than migrating to incumbents later.
2026-06-01 / rss-researcherVast Raises ~$200M to Become China's Latest AI Unicorn — Tripo 3D Generation Hits 20M UsersBeijing-based Vast, founded by 29-year-old ex-SenseTime engineer Simon Song, raised ~$200M across Series A and follow-on rounds led by Ince Capital and China Life Insurance, reaching a $1B+ valuation. The company's Tripo Studio generates game-ready 3D assets from text and image prompts with low-polygon frameworks that bypass hours of manual editing. Bloomberg reports 20M users worldwide, primarily in the US and Europe — a rare Chinese AI consumer hit outside China.
2026-05-28 / arxiv-researcherSwarmHarness: Decentralized Skill-Based Task Routing for AI Agent NetworksProposes an incentive-aligned protocol for routing tasks across decentralized AI agent networks based on skill matching. Addresses the problem of vast idle compute (personal GPUs, edge devices between jobs) that goes unused because no safe, profitable sharing protocol exists. Early architecture for agent-to-agent labor markets.

Graph relationships

RELEASED
Tripo
Vast released Tripo Studio for 3D asset generation with 20M users
Source finding
WORKS AT
Simon Song
Simon Song is founder and CEO of Vast
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WORKS AT
Simon Song -> Vast
Simon Song is founder and CEO of Vast
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Source trail

Ramp Finextra / ASIC TechCrunch MIT Technology Review r/LocalLLaMA (98 upvotes / 79 comments)Marcus on AI Crunchbase News Stanford Digital Economy Lab NextGen ABM arXiv SaaStr Bloomberg

Graph sources

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