Small and energy-efficient models have garnered growing attention in recent months.
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Shiny new innovations draw in ambitious founders and investors, and then FOMO brings in everyone else, making the eventual fall harder.
Tech like this could keep Meta’s models from prompt attack data slips — or at least give it some “thought leadership brownie points.”
AI that only performs well in so-called “high-resource languages” isn’t going to be useful for many people.
Microsoft hasn’t signed off on OpenAI’s dramatic reversal of its onetime plan to become a for-profit venture.
Perplexity is looking for a few hundred million more dollars to scale its burgeoning business — oh, and maybe cover some pesky legal fees.
A patent from Palantir highlights the importance of data security in AI when used in government and defense contexts.
Given the company’s dominance in workplace and productivity tech, it may have an edge in embedding generative AI into work routines.
Quarterly earnings at tech giants Meta and Microsoft surged, indicating that multi-billion dollar AI investments are starting to pay off.
Tons of companies are racing to build an AI video generation engine that actually works.
Intel’s recent patent could help track down when AI slips up after it’s shipped out.
Amazon’s patent to help doctors take better notes highlights the company’s massive bet on the healthcare space.
IBM is booting up its domestic production, setting aside $150 billion to make computers in the US over the next five years.
Along with mitigating hallucinations, this tech creates an audit trail for more transparency between the model and its users.
One point Chinese AI companies including Tencent and DeepSeek emphasize about their new models: efficiency.
This new server farm announcement comes just after Apple CEO Tim Cook reportedly paid President Trump a visit.