Breaking, stop AI training

Microsoft announces Security Copilot:

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🚨 Breaking, stop AI training 🚨

Avatars for Microsoft Teams

Imagine a single lesson being instantly converted into a version for visual learners, logical learners, etc.

AV driving a passenger through North Beach on St. Patrick’s day

Uncle Rabbit—the first conversational holographic ai being

Sam Altman on a tour


GPT-4 powered IDE

BREAKING NEWS: Dharmesh bought the domain name

Microsoft announces Security Copilot:

As you type, a 3D world emerges

Fireside Chat w/ Clement Delangue

One of the darkest periods of my startup journey.

This is the story of BingBang

New pix2struct model can solve text captcha out of the box

How To Start A $1,000,000 Business With 0 Employees

The researcher who teach machines to be fair

The researcher who would teach machines to be fair: Computer scientist Arvind Narayanan and his team at Princeton has uncovered surreptitious ways that websites track users and extract sensitive data. His team found out that a group like the National Security Agency could use web browsing data (specifically, cookies placed by third parties) not only to discover the user’s real-world identity but also to reconstruct 62% to 73% of their browsing history. In this Q&A, he discusses his work on de-anonymization, the importance of statistical intuition, and the many pitfalls of AI systems. The interview has been condensed and edited for clarity. (Quanta)

“Decision-makers, government agencies, companies, and other people who are buying these AI tools might not recognize the serious limits to predictive accuracy.” Continue reading.



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