ai-researchers

Tag

Cards List
#ai-researchers

@ai_explorer25: list of 10 active AI researchers on X: 1. @karpathy — Andrej Karpathy 2. @rasbt — Sebastian Raschka 3. @AndrewYNg — And…

X AI KOLs Timeline · 3d ago Cached

A tweet listing 10 active AI researchers on X, including Andrej Karpathy, Sebastian Raschka, Andrew Ng, and others.

0 favorites 0 likes
#ai-researchers

Google keeps losing top ai researchers, the moat was never the weights

Reddit r/artificial · 2026-06-26

Google's top AI researchers, including Shazeer and John Jumper, are leaving for competitors, indicating that the real asset is talent rather than model weights. The article advises against reliance on any single AI model provider.

0 favorites 0 likes
#ai-researchers

@sentient_agency: 10 BOOKS SERIOUS AI RESEARCHERS ACTUALLY RECOMMEND (NOT THE ONES EVERYONE POSTS) Every AI reading list says the same fi…

X AI KOLs Timeline · 2026-06-26 Cached

A list of 10 books that serious AI researchers actually recommend, covering topics from probability theory and information theory to reinforcement learning and cognitive science, providing deeper insights beyond popular reading lists.

0 favorites 0 likes
#ai-researchers

AI researchers continue to leave Google for its rivals

TechCrunch AI · 2026-06-24 Cached

Top AI researchers Jonas Adler, Alexander Pritzel, Noam Shazeer, and John Jumper have left Google for rivals Anthropic and OpenAI, continuing a trend of talent migration as AI companies prepare for IPOs.

0 favorites 0 likes
#ai-researchers

@rohanpaul_ai: A study reveals how huge paychecks from tech giants are pulling top AI researchers away from universities. The top 1% o…

X AI KOLs Timeline · 2026-06-01 Cached

A study highlights how top AI researchers are leaving universities for industry due to huge paychecks (top 1% earning ~$2M/year), resulting in fewer public papers and a 530% increase in private patent filings.

0 favorites 0 likes
#ai-researchers

The economics of superstar AI researchers (12 minute read)

TLDR AI · 2026-05-14 Cached

An analysis of why top AI researchers at frontier labs earn vastly more than their peers, drawing parallels to superstar dynamics in sports and music.

0 favorites 0 likes
← Back to home

Submit Feedback