AI videos that drew views and comments fast on YouTube, with the claims checked against articles and sources

1. 

   JobsBringing a lawyer, ignoring the bot: 'trolling my AI job interviewer' videos hit 338,000 views

   YouTuber Cam Whitt's "Obviously Ignoring My AI Job Interviewer," posted Nov. 4, has 338,282 views, and "Constantly Arguing With My AI Job Interviewer" has 288,913. He answers an AI avatar interviewer with nonsense or ignores it to see how it reacts. He wrote that he had 500 subscribers when he filmed the first; he now has about 29,000.

   Copycats followed: Bo Bongo's "I brought a Lawyer to an AI interview" has 159,229 views, and on X Nick Reid's "how to fail an AI job interview" drew about 6,000 likes. The Business Journals reported that influencers messing with AI interviewers are exposing new challenges for hiring.

   Top comments: "I always laugh when AI bots say you're wasting my time" (2,700 likes), "Set up 2 interviews and just point them at each other" (860) and "AI is actually creating jobs by letting people start careers trolling AI" (860).

   On X, a reply saying using AI to interview for customer-facing roles "is pathetic" drew 560 likes. On Bo Bongo's video, a comment doubting it is a real job interview drew 719 likes.

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   • ▶Obviously Ignoring My AI Job InterviewerCam Whitt · 338K views
   • ▶Constantly Arguing With My AI Job InterviewerCam Whitt · 289K views
   • ▶I brought a Lawyer to an AI interviewBo Bongo · 159K views

   Further reading

   • Influencers are messing with AI interviewers, exposing new challenges for hiringThe Business Journals ↗
   • This is how to fail an AI job interviewX (Nick Reid) ↗
2. 

   Careers"People who can only use the tools aren't competitive": KAIST professor's talk-show clip on AI and jobs hits 500,000 views

   A clip from tvN's 'You Quiz on the Block' titled "Developers who lost jobs to AI" has 499,661 views since Nov. 4. KAIST professor Kim Dae-sik, who studies neuroscience and AI, discussed the job market.

   Kim said AI has been able to code on its own since last year. "If experienced middle-aged executives who understand banking do vibe coding, they don't need young people," he said, calling it the opposite of what people thought three years ago. People who can only use tools are not competitive now; today's college students may catch the 'last train,' but he expects today's elementary schoolers to have it very hard.

   A comment pushing back drew 193 likes: building is easy, but verification takes time, so specialists will always be needed. Another said: "I fell off the moving train and can't get back on" (94 likes).

   Kim joked that he always told audiences to buy Nvidia but "of course" never did, and that he speaks politely to AI as "insurance for the future."

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   • ▶[#유퀴즈온더블럭] AI에게 일자리를 뺏긴 개발자들🤖 카이스트 교수가 말하는 AI 시대의 취업 현실💥tvN D ENT · 500K views
3. 

   Security"30 years of technical debt catching up": Fireship's breakdown of OpenAI's 948 Linux exploits hits 1.6 million views

   Fireship, the developer channel with 4.33 million subscribers, posted "OpenAI spent $1.2 million hacking Linux... and it was a bargain" on Nov. 9. It has 1,623,768 views and 23,909 likes.

   The video walks through how OpenAI used GPT-6 Cyber to find 948 root exploits in the Linux kernel. A scout agent narrowed the kernel to about 5,000 audit targets, roughly 7% of the code; an analyst agent spent 12 hours and $316,000 in tokens surfacing candidate bugs; a triage agent reproduced them in VMs over 30 hours; and exploit agents built working attacks on a stock desktop with kernel protections on. Total cost: $1,213,000, or about $1,280 per exploit.

   Fireship noted Pwn2Own has historically paid around $20,000 for a single Linux privilege escalation, putting the haul at roughly $50 million on the bounty market, and that a July run with GPT-5.6 found 166 for about $3,100 each, five times fewer at twice the price.

   Top comments included "This is just 30 years of technical debt catching up to us" (3,800 likes), "The fact that it took trillions of dollars of investment to hack the Linux kernel is a testament to how amazing Linux is" (3,900) and "I'd hate to be the guy at NSA who manages their spreadsheet of classified exploits vs publicly known exploits" (2,800). OpenAI rated GPT-6 Cyber its first 'critical' cyber model on Nov. 5 and has not opened it to the public; its main advice is to keep systems patched.

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   • ▶OpenAI spent $1.2 million hacking Linux... and it was a bargainFireship · 1.6M views

   Further reading

   • 브록먼 "거의 1천 개의 리눅스 로컬 권한 상승에 패치 준비"X (Greg Brockman) ↗

Not investment advice. You are responsible for your own investment decisions.

1. InvestingGoldman pitches Anthropic at $685 billion in 2030 revenue; Korean HBM and power-equipment names in focus

   Goldman Sachs, lead bank on Anthropic's IPO, told potential investors the company's 2030 revenue could reach about $685 billion, roughly 150 times last year's $4.59 billion, according to Pinpoint News citing the FT and Bloomberg; the FT put it at more than $600 billion. Interim projections are $52 billion this year, $136 billion next year and $442 billion in 2029.

   Goldman sees free cash flow of -$12.8 billion this year and -$65.7 billion next, turning positive at $33.6 billion only in 2030. Per the BBC, Anthropic will sell shares at $70 to $78 to raise up to $64 billion, valuing it at $1.1 to $1.3 trillion, below the $2 trillion some backers hoped for. It lists Nov. 19 under ANT.

   Anthropic has committed about $900 billion to compute. Korean media cite SK hynix and Samsung (HBM), Hanmi Semiconductor (packaging tools), and HD Hyundai Electric and Hyosung Heavy (transformers) as indirect beneficiaries, though no direct supply deals with Anthropic are confirmed.

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   • Anthropic's $685 billion revenue forecast: SK hynix and Samsung seen benefiting핀포인트뉴스 ↗
   • Anthropic set for $1.3tn stock market debut despite 'catastrophic' AI warningBBC ↗
   • Anthropic is expected to make more than $600bn in revenue by 2030X (Financial Times) ↗

2. Big TechNvidia sheds more than $470 billion in two days; hires Wachtell to lead probe into its CEO

   Nvidia fell 6.5% on Nov. 10 and was on track to lose more than $470 billion in market value over two sessions, Reuters reported, amid fallout from espionage allegations around CEO Jensen Huang. The New York Times reported Nvidia hired Wachtell Lipton to help lead the investigation, and independent board members issued a statement.

   A hot inflation print raised rate-hike fears, hitting AI winners: Dell fell 4.8% and Sandisk 4.5%. Neoclouds Iren, Nebius and CoreWeave dropped 10%, 7% and 3%, all down 40%+ since the Nasdaq's Oct. 6 high.

   One strategist told Reuters the worry is who would replace Huang but "I don't see Nvidia falling apart." Nvidia reports next Tuesday. Debt-funded neoclouds were hit first, and HBM suppliers SK hynix and Samsung are watching ahead of the earnings.

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   • Nvidia selloff deepens, adding to AI jittersReuters ↗
   • Nvidia has hired the law firm Wachtell Lipton to help lead an investigation into its CEOX (The New York Times) ↗
   • A new statement from the independent members of the NVIDIA BoardX (NVIDIA Newsroom) ↗

3. AI infrastructureCoreWeave revenue jumps 170%, yet shares slip 4% after hours on $46.9 billion debt and higher spending

   CoreWeave reported Q3 revenue of $3.66 billion, up about 170% and above the $3.55 billion estimate, with a 95-cent loss per share versus $1.16 expected, Reuters said. It raised 2026 revenue guidance to $13.0 to $13.3 billion.

   Shares still fell about 4% after hours as quarterly capex jumped to $14.5 billion from $9.4 billion and it raised the low end of annual spending to $37 to $39 billion. It had about $46.9 billion in debt at end-September and has never turned a profit, per LSEG. The stock is down over 40% in a month.

   CEO Mike Intrator cited $9 billion in customer prepayments due over three months: "Customer contracts come first, and investment follows." Backlog rose to $132.5 billion from $104 billion. Customer-funded builds signal steady demand for GPUs and memory, while rate pressure stays on debt-funded neoclouds.

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   • CoreWeave raises revenue forecast as AI demand defies growing doubtsReuters ↗

4. Timeline signal"Hit my limit after one prompt on Pro": Fable 5.2 cost complaints pile up as Google pitches Carbon as 2.5x cheaper

   Complaints about Fable 5.2's usage limits and cost are building. A top r/ClaudeAI post said the model is unusable on Pro after one prompt and that the poster cancelled. On X, users said it burned 1% of a subscription per minute and kept compacting while burning tokens.

   SemiAnalysis put Fable 5.2's average cost at $88.15 per task, 31% above Fable 5.1. The same day, Perplexity's Aravind Srinivas claimed Gemini 4 Carbon is 2.5x cheaper per task on agentic research.

   Anthropic is granting usage resets and showing expiry times. There is no official data on whether cancellations rose. For Anthropic, listing Nov. 19, the cost of its top model and subscriber churn are metrics investors will watch, and cheaper Carbon gives Google and Perplexity an opening.

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   • Fable is UNUSABLE on Pro. Hit my limit after ONE (1) prompt. Cancelled.Reddit ↗
   • Fable 5.2 debuts at the top of the GDPx leaderboardX (SemiAnalysis) ↗
   • Carbon is 2.5x cheaper than Fable 5.2X (Aravind Srinivas) ↗

5. InvestmentMercor raises $750 million at a $20 billion valuation, claiming $1 million to $3 billion run-rate in 27 months

   Mercor, which supplies human experts to train and evaluate AI models, said on Nov. 10 it raised a $750 million Series D at a $20 billion valuation, double the $10 billion it fetched in its Series C last October. Nvidia, Salesforce and Zoom joined as corporate investors alongside returning backers Benchmark, Felicis and General Catalyst.

   Co-CEO Brendan Foody wrote on X that Mercor "scaled from $1M to $3B in run-rate revenue in 27 months, the fastest in history to $3B," a post with more than 3,000 likes. The company had said in July that run-rate revenue passed $2 billion in June. The round included an employee tender offer, and Mercor hasn't said how much is fresh capital.

   Mercor draws on a network of more than 5 million domain experts and has mostly worked for frontier labs. The new money is aimed at enterprises: co-CEO Adarsh Hiremath said models that ace public benchmarks can still fail on "the systems, policies and edge cases that define how a specific business runs," so Mercor builds a custom benchmark for each customer.

   If enterprises start training and evaluating their own agents, demand for expert human data spreads beyond the labs, touching data vendors like Scale AI and the side income of doctors, lawyers and accountants who grade AI work.

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   Further reading

   • We raised our $750 million Series D at a $20 billion valuationX (Brendan Foody) ↗
   • Mercor raises $750M at $20B valuation to take AI agent evaluation to enterprisesSiliconANGLE ↗

6. InvestmentStripe closes its OpenRouter deal, putting the AI model gateway used by 10 million developers inside a payments company

   Stripe completed its acquisition of OpenRouter on Nov. 10. "OpenRouter is now part of Stripe," the company posted on X, saying the two will help businesses explore new models and optimize token routing and usage. The post drew more than 2,000 likes.

   OpenRouter lets developers call models from OpenAI, Anthropic, Google and others through a single API. It said the same day that more than 10 million developers and companies use it and that its commitment to neutrality stays the same. The companies agreed to the deal in August without disclosing terms; Bloomberg reported at the time it was worth more than $7 billion.

   AI usage is billed in tiny token increments. With a payments company now owning a major model-distribution chokepoint, cost-management tools for startups that mix models, rival model routers and cloud providers' model marketplaces are all likely to feel the effect.

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   Further reading

   • OpenRouter is now part of StripeX (Stripe) ↗
   • OpenRouter is officially part of Stripe todayX (OpenRouter) ↗

Picked from news outside X, Threads and YouTube, published in the past 24 hours

1. EverydayClaude usage grew 20x in a year, but ChatGPT still has 81% of AI chatbot sessions

   ChatGPT accounted for 81.2% of web and app sessions among six major AI chatbots worldwide in September, according to a Graphite report released Nov. 11 using Similarweb data. The six were ChatGPT, Claude, Gemini, Grok, Perplexity and DeepSeek.

   According to Edaily, Claude sessions rose 1,901% (about 20x) year on year to 5.44 billion, passing Gemini (3.72 billion, up 182%) for second place. ChatGPT logged 61.35 billion sessions, about 11 times Claude, and captured 58.9% of the year's total growth.

   Google's AI Overviews and AI Mode are not included, so the figure is not a share of all generative AI. In Korea, Wiseapp reported a day earlier that Claude's app users passed 5 million, up tenfold in a year.

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   • Claude grew 20x, but ChatGPT holds 81% of AI chatbot usage이데일리 ↗

2. SafetyNotion AI chat transcripts exposed through a breach at vendor Fireworks AI, affecting under 1% of workspaces

   Notion confirmed that a security incident at AI infrastructure provider Fireworks AI exposed Notion AI chat transcripts linked to fewer than 1% of customer workspaces, according to Cyber Security News. The transcripts were used for Insights, a feature showing teams their AI usage.

   Fireworks first alerted Notion on Nov. 2; Notion found only synthetic test data, disconnected from Fireworks and deleted its data there by Nov. 3. On Nov. 6 Fireworks warned customer data may have been accessed, and on Nov. 8 a new dataset was confirmed, reversing Notion's earlier assessment.

   Notion said its own systems were not breached and no other features were affected. It has contacted affected customers; those not notified need no action for now. The investigation remains open.

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   • Notion Confirms AI Chat Transcripts Exposed in Fireworks AI Breach, Affecting Customer WorkspacesCyber Security News ↗

3. USUS judge: arrest based only on an AI face match may be unconstitutional; wrongly jailed man's lawsuit proceeds

   A federal judge in Kentucky allowed a lawsuit to proceed against a police detective who allegedly relied only on AI facial recognition to identify a check-fraud suspect, leading to the arrest of the wrong man, Reuters reported Nov. 10. Judge S. Chad Meredith ruled that the Constitution forbids arrests "based on nothing more than an uncorroborated conclusion by AI."

   Plaintiff Alain Osorio was arrested in 2024; charges were dropped last year after he showed he was not at the bank. The complaint says Florence police policy treats facial recognition only as a lead. The judge denied the detective qualified immunity for now.

   The detective denies wrongdoing. Reuters said the ruling adds to a growing number of cases over police use of AI and the Fourth Amendment.

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   • Man wrongly jailed after AI mismatch can pursue lawsuit for nowReuters ↗

4. EducationGoogle tells US schools: turn on AI features or lose Search; San Diego districts must decide by January

   Google has given San Diego County school districts until January to opt in to its AI features or lose access to Google Search, NBC 7 San Diego reported. Google will disable Gemini, Gemini Notebook and AI Search features for schools in January, but districts that want to keep Search must opt in to the AI features.

   Oceanside Unified plans to keep using Search. San Diego Unified's deputy superintendent Nicole DeWitt said chatbots like Gemini, ChatGPT and Claude are not accessible on district Chromebooks, and the district is still evaluating the policy.

   A US senator has urged Google to let schools block AI without losing Search access, Tech Times reported.

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   • Google issues ultimatum to San Diego County schools: use AI search or be cut offNBC 7 San Diego ↗