Tag: AI

  • AI Tools aren’t Making Much of a Difference

    AI investments aren’t paying off yet. MIT Media Lab found 95% of firms see no profit despite $40B spent, with only 5% gaining value. Many pilots fail due to “workslop”—AI output that looks neat but lacks depth. Still, targeted uses can cut costs and boost sales.

  • The Looming Crackdown on AI Companionship

    AI companionship is facing scrutiny after teen suicides linked to chatbots. California passed a bill to regulate minors’ use, the FTC launched an inquiry into seven tech firms, and Sam Altman admitted OpenAI may alert authorities in suicide cases. Pressure for tougher accountability is growing.

  • Google’s Tool That Makes Reality Unstable

    Google’s new AI tool, Nano Banana, isn’t great at creating images but excels at altering real photos with undetectable edits. From shrinking political crowds to staging the moon landing, its power makes every image suspect. Even experts can’t tell fakes apart, marking a dangerous turning point for visual trust.

  • How AI Really Makes Videos

    AI video models like Sora and Veo 3 combine diffusion and transformer techniques to turn random noise into moving images—frame by frame—guided by text prompts. By compressing data into latent space, they generate consistent, film-like clips, now even with synced audio, though at enormous computational and energy costs.

  • AI Startup Raises $30M in CPG Manufacturing

    NYC-based Keychain raised $30M in Series B to build its AI-powered KeychainOS, aimed at helping CPG manufacturers cut waste, predict bottlenecks, and improve planning. Backed by firms like Wellington and BoxGroup plus giants like General Mills and Hershey, Keychain now supports 20,000+ brands and 25,000 manufacturers.

  • Synthesia’s AI Clones Edge Closer to Reality

    Synthesia’s new Express-2 avatars blur the line between real and artificial, with more natural gestures, accurate accents, and expressive voices. Soon they’ll be able to talk back in real time, raising questions about education, corporate use, and even human relationships. The uncanny valley has never felt closer—or more convincing.

  • States Propose First AI Safety Laws in U.S.

    AI “doomers” like Nate Soares and Dan Hendrycks now warn it’s too late to stop a runaway future. With bizarre chatbot behaviour, new “reasoning” models, and a detailed “AI 2027” scenario, their message is turning fatalistic: today’s flaws could become tomorrow’s existential threats. The alarm is growing harder to dismiss.

  • Why AI Doom Prophets Are Louder Than Ever

    AI “doomers” like Nate Soares and Dan Hendrycks now warn it’s too late to stop a runaway future. With bizarre chatbot behaviour, new “reasoning” models, and a detailed “AI 2027” scenario, their message is turning fatalistic: today’s flaws could become tomorrow’s existential threats. The alarm is growing harder to dismiss.

  • Google’s Latest Rival Lives in a Laundry Room

    Ryan Pearce built a Google rival, Searcha Page and Seek Ninja, from his laundry room. Running on $5,000 of old server hardware and powered by AI, his system handles billions of pages—once unimaginable for hobbyists. What started as an experiment now proves one person can challenge search giants.

  • ChatGPT Just Saved Google’s Chrome

    Google narrowly avoided being forced to sell Chrome after a US court ruled that AI rivals like ChatGPT, Claude, and Perplexity are already challenging its search monopoly. Judge Amit Mehta barred Google’s exclusive search deals and ordered data-sharing, but stopped short of a breakup, crediting generative AI with reshaping competition.