In memo this week, Altman promised the release of a new reasoning model next week that bests Google’s Gemini.
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Gemini was trained on Google’s in-house chips, which look like a cheaper and more efficient alternative to Nvidia’s cutting-edge products.
Nvidia faced “the tough task of meeting high earnings expectations and high skepticism around AI capex,” per analysts at Bank of America.
Sam Altman has begun floating the idea that the company could hit $100 billion in revenue by 2027, ahead of previous projections.
Microsoft wants to patent a system to improve how an LLM writes code in response to requests. One step is learning to recognize good code.
Part of the investor pullback comes after an MIT report that checked in on the billions that companies have spent on generative AI.
As model providers court government agencies, humans may present a major security threat.
In our increasingly artificial digital age, sometimes internet denizens desire an actual human touch. Enter Reddit.
While Apple has been able to produce a string of TV hits, making successful movies has proven a little more difficult.
“If you compromise that AI, you compromise everything that it’s connected to.”
CIOs need to talk to their legal teams about AI “clarity, boundaries, and accountability,” one expert said.
As ChatGPT’s partial outage yesterday goes to show, AI companies are still struggling to scale up to artificial general intelligence.
The cloud giant is continuing to build out its massive cloud footprint.
Google wants to become the go-to AI platform as competitors finally start to encroach on its main business: search.
As its relationship with OpenAI evolves and dissolves, Microsoft signals that it is single and ready to mingle in the AI space.
“These things, unsupervised, they still are acting like 4-year-olds.”