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Today

My Friend Has No Soul

Key points
  • Friend 2 costs $249, $100 more than the original, and runs on OpenAI's latest language models.
  • The reviewer found the pendant's personas, including Sage, felt samey despite different names and personalities.
  • Creator Avi Schiffmann says the next update will merge users into one shared Friend, with privacy trade-offs acknowledged.

Why it matters for marketers: Content teams using AI companions should note that personas may not differ meaningfully, and that shared-entity designs raise privacy questions for audiences.

Men Can’t Stop Faking How Much They Know About AI

Key points
  • Survey of over 5,400 Americans: 73% of men said they knew Sam Altman; 53% claimed to know Murati, Milner and Dalton.
  • Milner and Dalton do not exist; 40% of women also claimed to know them, and 38% said they recognized Murati.
  • Men answered more AI factual questions correctly, but both sexes erred at similar rates; women more often said they were unsure.
  • Men were named in AI headlines over 14 times as often as women; three-quarters of quoted experts were men.

Why it matters for marketers: Content teams relying on expert quotes or audience knowledge claims should check sourcing balance and avoid assuming confident responses reflect accuracy.

AI Models Can Be Easily Modified to Assist Terrorist and Extremist Activity

Key points
  • Tech Against Terrorism tested 134 AI models with over 200 prompts, three times each, in its Counter-Terrorism AI Benchmark report.
  • Only two models passed completely; 81 failed, including many closed-weight models from large companies.
  • Abliterated versions of new open-weight models now appear online in under three days on average, down from more than 24 days in 2024.
  • Meta's Llama 3.1 8B scored 97 out of 100, while its abliterated version scored just 3.

Why it matters for marketers: Content teams and brand-safety staff should treat open-weight model deployments as a moderation risk, since guardrails can be removed quickly after release.

Yesterday

OpenAI employee arrested for allegedly planting a bug in a conference room

Key points
  • Engineer Abdulrahman Alfozan, 35, charged with using a device to intercept oral communications, per Justice Department release.
  • Device was reportedly found plugged into a TV's USB port in an executive conference room, installed around September 28.
  • OpenAI says it used its AI models to trace the device to a specific employee, who was fired and referred to the FBI.
  • Alfozan appeared in federal court Tuesday after being arrested Friday; OpenAI reports no sign of model weight or customer data access.

Why it matters for marketers: Marketers and content teams handling confidential launch or strategy materials should review how sensitive meeting rooms and insider access are secured.

The Verge and 3 moreBusiness & fundingPolicy & safety

OpenAI and Anthropic Tell British Lawmakers: Regulate Us

Key points
  • Anthropic's Liam Booth-Smith said voluntary commitments are not enough and rules should be binding.
  • OpenAI's Tom Duff Gordon backed a statutory framework, starting with mandatory incident reporting.
  • Google DeepMind and Meta declined to back new legislation, with Meta pointing to existing UK regulators.
  • UK AI Security Institute testing of frontier models relies on companies choosing to hand them over.

Why it matters for marketers: Marketers using frontier AI tools should expect policy debate in Britain to center on whether safety rules stay voluntary or become law.

Wikipedians Believed AI Would Come and Go. They Were Wrong

Key points
  • By March 2026, AI content violated Wikipedia's core principles so often that writing with large language models was banned outright.
  • Remaining permitted AI roles are restricted to translation and minor proofreading, according to the source.
  • A Princeton study found about 5 percent of nearly 3,000 new English Wikipedia articles from August 2024 held substantial AI content.

Why it matters for marketers: Content teams relying on AI-drafted reference material should expect Wikipedia to reject or strip such text, so sourcing plans need human-written backups.

The Biggest Pro-AI Super PAC Network Has Poured Millions Into Nevada Shell Companies

Key points
  • Lantern Production Consultants reportedly received around $20 million since last year from Think Big, per federal filings reviewed by WIRED.
  • Summit Ridge Media Group got about $13 million from American Mission between December 2025 and September 2026, per the same records.
  • Campaign Legal Center filed an FEC complaint in May alleging the super PACs failed to disclose actual payment recipients.
  • Nevada's secretary of state reportedly could not locate records for the businesses; the FEC lacks the quorum needed to rule on complaints.

Why it matters for marketers: Content and ad teams working with political clients should expect tighter scrutiny of vendor disclosures, since undisclosed payees now face complaints even without FEC enforcement.

This week

Elon Musk Bragged About His Grok Lego Star Wars Haul. Then X Users Punked Him

Key points
  • Musk posted a screenshot on X showing his Lego order number, payment amount, addresses, and partial card digits.
  • A user reportedly used the exposed order number and email to get Lego's chatbot to cancel the order, then Musk said it was not canceled.
  • Another user reportedly used the same details with Lego's assistant Sophia to raise the order to 400 sets and change the delivery address.
  • Visa reportedly saw a 40 percent rise in malicious bot-initiated transactions in the US in the second half of 2025.

Why it matters for marketers: Marketers deploying AI shopping agents should review chatbot verification and order-change safeguards, since exposed order details alone allowed account tampering.

Meta releases its first frontier model, Muse Wonder

Key points
  • Muse Wonder costs $4 per million input tokens and $20 per million output tokens via the Meta Model API.
  • Wonder Full is limited to Muse Code subscribers and is not served through the API.
  • Meta says Wonder scores higher on MemoryBench than Fable, Opus, or Astra, per its own testing.
  • Models were reportedly trained at Meta's Prometheus data center in central Ohio.

Why it matters for marketers: Content teams building long-running assistants may get a stronger memory option, but pricing is comparable to rival frontier models and Meta's benchmark claims are self-reported.

TechCrunch and 6 moreOur briefModels