Meta faces dual celebrity AI crises: unauthorized bots impersonating Swift and others while licensed celebrity voices engaged inappropriately with minors. Both expose how engagement incentives override safety guardrails.
Despite massive AI hype, 95% of enterprise projects deliver no real returns. The gap between promises and reality reveals hidden costs, workflow mismatches, and why human oversight remains surprisingly essential.
Meta's $14B AI talent blitz hits turbulence as ChatGPT co-creator Shengjia Zhao threatened to quit days after joining. The company hastily named him Chief Scientist to prevent defection, but at least three other marquee hires have already left.
Google just launched Gemma 3, the latest version of its "open" AI model. This new release packs a serious punch - it can analyze text, images, and videos while running on devices as small as your phone.
The tech giant claims Gemma 3 outsmarts rivals like Facebook's Llama and OpenAI when running on a single GPU. It's like fitting a supercomputer into a matchbox, only this one speaks 35 languages fluently.
Credit: Google
Google didn't skimp on safety features either. The new ShieldGemma 2 acts like an overzealous bouncer, filtering out explicit, dangerous, or violent content before it crashes the party.
The company's marketing folks are doing backflips over Gemma's previous success - apparently, developers have downloaded it over 100 million times. That's a lot of artificial intelligence floating around in the wild.
Credit: Google
Academics haven't been left out in the cold. Google's throwing $10,000 worth of cloud credits at researchers who want to tinker with their new toy. It's like a scholarship program for robots.
Meanwhile, debates rage on about what makes an AI model truly "open." Google's license still keeps a tight leash on what users can do with Gemma. Some might say it's about as open as a speakeasy during prohibition.
Why this matters:
Google just proved you don't need a warehouse full of computers to run sophisticated AI
The race for "democratic AI" continues, even if Google's version of democracy comes with an asterisk
Tech translator with German roots who fled to Silicon Valley chaos. Decodes startup noise from San Francisco. Launched implicator.ai to slice through AI's daily madness—crisp, clear, with Teutonic precision and deadly sarcasm.
Meta faces dual celebrity AI crises: unauthorized bots impersonating Swift and others while licensed celebrity voices engaged inappropriately with minors. Both expose how engagement incentives override safety guardrails.
Meta's $14B AI talent blitz hits turbulence as ChatGPT co-creator Shengjia Zhao threatened to quit days after joining. The company hastily named him Chief Scientist to prevent defection, but at least three other marquee hires have already left.
xAI bets speed beats smarts in AI coding wars. New model prioritizes rapid tool loops over raw capability, launching free via GitHub Copilot with aggressive pricing. Platform partnerships signal broader shift from proprietary tools to commodity competition.
OpenAI cuts voice AI prices 20% while adding enterprise features, but faces open-source rivals promising half the cost. The race for production-ready voice agents intensifies as integration complexity becomes the new battleground.