🔬OpenAI Reveals Why AI Hallucinates
OpenAI just published a new paper arguing that AI systems hallucinate because standard training methods reward confident guessing over admitting uncertainty, potentially uncovering a path towards solving AI quality issues.
- —Researchers found that models make up facts because training test scoring gives full points for lucky guesses but zero for saying "I don't know"
- —The paper shows this creates a conflict: models trained to maximize accuracy learn to always guess, even when completely uncertain about answers
- —OAI tested this theory by asking models for specific birthdays and dissertation titles, finding they confidently produced different wrong answers each time
- —Researchers proposed redesigning evaluation metrics to explicitly penalize confident errors more than when they express uncertainty
Why it matters: This research potentially makes the hallucination problem an issue that can be better solved in training. If AI labs start to reward honesty over lucky guesses, we could see models that know their limits — trading some performance metrics for the reliability that actually matters when systems handle critical tasks.
💰Anthropic Agrees to $1.5B Author Settlement
Anthropic just agreed to pay at least $1.5B to settle a class-action lawsuit from authors, marking the first major payout from an AI company for using copyrighted works to train its models.
- —Authors sued after discovering Anthropic downloaded over 7M pirated books from shadow libraries like LibGen to build its training dataset for Claude
- —A federal judge ruled in June that training on legally purchased books constitutes fair use, but downloading pirated copies violates copyright law
- —The settlement covers approximately 500,000 books at $3,000 per work, with additional payments if more pirated materials are found in training data
- —Anthropic must also destroy all pirated files and copies as part of the agreement, which doesn't grant future training permissions
Why it matters: This precedent-setting payout is the first major resolution in the many copyright lawsuits outstanding against the AI labs — though the ruling comes down on piracy, not the "fair use" of legal texts. While $1.5B sounds like a hefty sum at first glance, the company's recent $13B raise at a $183B valuation likely softens the blow.
📝Automate Web Monitoring with AI Agents
In this tutorial, you'll learn how to use Yutori Scouts, an AI web monitoring agent that watches for specific updates online and alerts you via email. No more refreshing pages or manually checking for changes.
- —Enter your request in the Yutori homepage input box to create your Scout
- —Choose how often you want alerts — instant, daily, or weekly — then click Start scouting to activate it
- —View and manage all your active Scouts from the "My Scouts" dashboard, where you can edit, pause, or delete them anytime
- —Check reports sent to your email or in-app, each with clear findings and a direct link to the source for quick action
Why it matters: Use Scouts for time-sensitive opportunities like reservations, product restocks, or industry news, and pair with automations to get updates.
🔧OpenAI's Own AI Chips with Broadcom
OpenAI will begin mass production of its own custom AI chips next year through a partnership with Broadcom — joining other tech giants racing to reduce dependence on Nvidia's hardware.
- —Broadcom's CEO revealed a mystery customer committed $10B in chip orders, with sources confirming OpenAI as the client planning internal deployment only
- —The custom chips will help OpenAI double its compute within five months to meet surging demand from GPT-5 and address ongoing GPU shortages
- —OpenAI initiated the Broadcom collaboration last year, though production timelines remained unclear until this week's earnings announcement
- —Google, Amazon, and Meta have already created custom chips, with analysts expecting proprietary options to continue siphoning market share from Nvidia
Why it matters: The top AI labs are all pushing to secure more compute, and Nvidia's kingmaker status is starting to be clouded by both Chinese domestic chip production efforts and tech giants bringing custom options in-house. Owning the full stack can also eventually help reduce OAI's massive costs being incurred on external hardware.