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Elon Musk takes OpenAI to court in a massive $130B legal battle. Plus, a new AI trained only on pre-1931 knowledge shows how data shapes the way models think.
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DAILY UPDATE
Elon Musk’s $130B OpenAI Lawsuit
Elon Musk has taken OpenAI to court in a major $130B lawsuit, and the first day was already full of sharp claims and big tension.
Elon Musk appeared in federal court as opening statements began in his $130B lawsuit against OpenAI, accusing CEO Sam Altman of turning a charity into something built for profit.
Musk wants $130B in damages, wants Sam Altman and Greg Brockman removed from OpenAI’s board, and wants OpenAI’s recent move toward a for-profit model reversed.
In court, Musk said that if it becomes acceptable to “loot a charity,” it could damage trust in charitable giving across America.
OpenAI called the case “sour grapes,” while Microsoft said Musk only began attacking OpenAI’s structure after it became successful and started competing with xAI.
This case could become one of the most important and dramatic battles in tech. It puts OpenAI, Elon Musk, and some of the biggest names in AI under public pressure, with more testimony, private messages, and major details likely to come out in the weeks ahead.
Continue Reading…
TODAY’s HIGHLIGHT
What Happens When You Train AI on 1930s Knowledge Only?
A new AI called Talkie was trained only on text from before 1931, giving it a very different way of thinking from today’s models.
Researchers Nick Levine, David Duvenaud, and Alec Radford introduced Talkie, a 13B AI model trained only on books, newspapers, journals, patents, and legal texts written before 1931.
Talkie was trained on 260 billion tokens of public domain text from before 1931, including books, newspapers, journals, patents, and case law.
To make it chat naturally without modern examples, researchers used old etiquette guides and cookbooks as instruction data, while Claude Sonnet 4.6 reviewed its replies.
Even though Python did not exist in 1930, Talkie still wrote working code by changing a plus sign to a minus sign in an example, showing it can still generalize and reason beyond its training data.
This matters because most modern AI models learn from the same internet data and often sound very similar. Talkie shows that changing what an AI learns from can shape how it thinks in very different ways.
Continue Reading…
YOUTUBE
Google’s AI Course for Beginners (in 10 minutes)!
TODAY TREND
Plurai
Vibe-train evals and guardrails tailored to your use case
Open Wearables
Open infrastructure for wearable-powered health products
CodeHealth MCP Server by CodeScene
Keep AI-generated code healthy and maintainable
Gro v2
Spot signals, trigger outreach - turn posts into pipeline
KarmaBox
Run your own Claude Code in your pocket.
SOCIAL MEDIA
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