Some 8% of kids ages 5-12 have interacted with AI chatbots like OpenAI’s ChatGPT or Google’s Gemini, according to a new Pew Research Center survey of their parents. While that’s nowhere near the usage rates of other devices like smartphones or even voice assistants, it’s still notable for a relatively new technology — especially one that’s already had devastating consequences for young people.
Nvidia’s latest autonomous tech may help traditional automakers close the distance to manufacturing driverless cars, but not to Tesla, a research note from Morgan Stanley contends. Analyst Andrew Percoco argued that while Nvidia’s tech stack offers a “capital efficient on ramp to advanced autonomy,” that still leaves automakers stuck in a “faster follower strategy.”
According to the analyst, “Tesla is years ahead of competitors when it comes to autonomy with a clear data and scale advantage.” The comment is similar to something Tesla CEO Elon Musk said in the wake of Nvidia’s announcements:
“This is maybe a competitive pressure on Tesla in 5 or 6 years, but probably longer,” Musk posted on X.
You’re right.
— Elon Musk (@elonmusk) January 6, 2026
The actual time from when FSD sort of works to where it is much safer than a human is several years.
The legacy car companies won’t design the cameras and AI computers into their cars at scale until several years after that.
So this is maybe a competitive…
If you want to know who’s up and who’s down in the AI model world, look no further than LMArena’s leaderboard. The startup has just raised a $150 million series A fundraising round, with a valuation of $1.7 billion.
In seven months, LMArena has raised $250 million, according to TechCrunch.
The leaderboard started as a research project by cofounders Anastasios Angelopoulos and Wei-Lin Chiang when they were graduate students at UC Berkeley.
The public leaderboard — formerly known as “Chatbot Arena” — shows the results of human evaluations of AI models for various tasks. Users can rate which model did a better job on one task in a sort of blind taste test.
The leaderboard is a hotly contested proving grounds for new models, and the company occupies a powerful position in an industry that lacks independent, industry-standard evaluations.
The leaderboard started as a research project by cofounders Anastasios Angelopoulos and Wei-Lin Chiang when they were graduate students at UC Berkeley.
The public leaderboard — formerly known as “Chatbot Arena” — shows the results of human evaluations of AI models for various tasks. Users can rate which model did a better job on one task in a sort of blind taste test.
The leaderboard is a hotly contested proving grounds for new models, and the company occupies a powerful position in an industry that lacks independent, industry-standard evaluations.
