AI company news, venture capital funding, startup launches, mergers, acquisitions, and major market moves in the AI industry.
Some indie studios have started wearing “AI-free” like a badge of honor. In a world where generative-AI tools are being sold as quick fixes for art, sound and code, a few developers are openly saying their games contain zero AI help.
In the last boardroom I walked into, the pressure to look ahead was almost tangible. A rival just rolled out an AI-driven onboarding tool and bragged about “40 % efficiency gains” on their support automation.
When Jony Ive and Sam Altman stepped onto the stage today, they actually held up a prototype, a device that looks like the first concrete sign of an OpenAI-branded product.
Last week I caught a glimpse of Amazon’s new AI-driven agents prowling through its codebases, hunting for bugs the way a seasoned pen-tester would, only a lot faster.
India’s health-tech boom is finally shining a light on startups that can turn raw data into quicker care.
When TCS rolled out its new AI platform for clinical-trial oversight, the buzz in hospitals and CROs was immediate.
When I first saw the memo, the headline was hard to miss: Google wants to crank its AI compute up by a thousand times in the next five years. It’s not just about piling on more silicon, though.
OpenAI has hooked up with Foxconn - the Taiwanese factory you probably know for putting together phones and laptops - to sort out the hardware that runs its models.
When Salesforce rolled out its new observability layer called Agentforce, the buzz was immediate.
Google’s newest AI benchmarks are pulling the focus away from flashy demos and onto how models are actually built. Meanwhile, OpenAI is rolling out a comeback plan they’ve nicknamed “Shallotpeat,” and even its leaders seem to admit there’s a gap.
When I asked Taylor about Sierra’s $100 million milestone, he spent a good chunk of our chat unpacking why that number matters. It’s not just a line on a balance sheet; it seems to act like a magnet for engineers looking for the next big thing.
A few months ago a firm that used to spend weeks tagging images or transcribing text hit a different roadblock: figuring out if an autonomous agent can actually stitch reasoning, tool use and code into one sensible result.
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