Ex-OpenAI Researcher Bets $100 Billion Will Flow Into Training Data because Scaling Alone Won't Cut It
3 Articles
3 Articles
'I'm just stuck': Meet the former OpenAI researcher sitting on $700K of equity that he says is overvalued
Andrew Ho worked at OpenAI for eight months but said he had to leave after realizing how tremendously overvalued the AI labs are. And he doesn’t think it’s a bubble.
Ex-OpenAI researcher bets $100 billion will flow into training data because scaling alone won't cut it
Former OpenAI employee Andrew Ho and Cambridge researcher Adam Hunt see a growing problem with large language models. Instead of becoming more versatile, the models are becoming more specialized, excelling at coding and math while stagnating or even regressing in other areas. Ho is leaving OpenAI to start a company focused on specialized training data and predicts that AI labs will need to spend more than $100 billion on targeted data collection…
The race of the big artificial intelligence companies to develop increasingly powerful models seems to be endless. We have already seen how companies like OpenAI, Google or Anthropic launch to the market IAs capable of programming, reasoning in a similar way to humans or even performing complex tasks autonomously. But while everyone focuses on seeing who presents the most powerful and intelligent model, the main technology competes for something…
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