It’s hard to place exactly how much responsibility chipmakers have in ensuring that their tech is used the right way.
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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.
The investment bank rolled out a suite of AI tools this year and reported almost $64 billion in net new assets in the third quarter alone.
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.
. It may aim to level the playing field with one competitor in particular: Amazon.
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.
Given that AI systems can’t always be totally accurate, observing when they make mistakes could mitigate a lot of harm.
Autonomous machines may need to be proactive, not reactive, to keep accidents from happening.
Wells Fargo’s recent patent wants to make sure you can trust the cloud.
Adobe’s recent patent signals that it may be creating a marketing co-pilot.