market-prediction

Tag

Cards List
#market-prediction

@xiaomustock: A structural demand gap for CPUs is inevitable, similar to the storage market in 2026. Currently, the CPU to GPU configuration demand ratio is 1/8, but as AI model companies enter the AI agent space, the demand for high-end CPUs driven by agent needs will surge to 1/1 within 2-3 quarters. An eightfold increase in demand, and high-end CPU production capacity is completely unable to keep up.

X AI KOLs Timeline · 4d ago Cached

The article predicts that due to a surge in AI agent demand, high-end CPUs will experience a structural shortage within 2-3 quarters, leading to significant price increases, similar to the storage market trend in 2026.

0 favorites 0 likes
#market-prediction

@Rossst_03: Kian Katanforoosh, Stanford CS lecturer (Forbes 30 Under 30): "Two Sigma pays $650K a year to researchers who can train…

X AI KOLs Timeline · 2026-06-26 Cached

A tweet critiques a viral thread that resells a free Stanford lecture on neural networks as a secret trading framework, highlighting that real expertise lies in handling distribution shifts, not the math itself.

0 favorites 0 likes
#market-prediction

@yidabuilds: You can only see this kind of high-quality information on Twitter. Also: Samsung expects 2026 full-year profit of $230 billion, with a forward P/E ratio between 5.3 and 7.3. That's damn scary...

X AI KOLs Timeline · 2026-06-06 Cached

This tweet shares internal information about Samsung's 2026 profit forecast and tight memory supply at SK Hynix.

0 favorites 0 likes
#market-prediction

@qkl2058: Two Sigma's AI head, with a salary roughly around $1 million, recently publicly discussed how their $60 billion fund uses large language models to predict market prices. This person previously worked at Google for 12 years before leaving to join Two Sigma, building the AI team from scratch. The 30-minute sharing...

X AI KOLs Timeline · 2026-05-20 Cached

Two Sigma's AI head publicly shared how their $60 billion fund uses large language models to predict market prices. The fund hasn't lost money in over twenty years, and its AI application approach is worth attention.

0 favorites 0 likes
← Back to home

Submit Feedback