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The fact that Apple's Board of Directors chose someone who has built their career on the hardware side speaks volumes. Apple's gamble suggests they believe the future of AI lies in hardware, not software. Apple clearly isn't trying to compete with Google, OpenAI, or Anthropic by having an LLM model. But it does seem to believe that its platform (the iPhone), with its advanced processor, can deliver models locally on the phone instead of from the cloud. Will the gamble pay off? submitted by /u/bitcoinerguide [link] [comments]

submitted by /u/hillary_262 [link] [comments]

A new study from UCLA, MIT, Oxford, and Carnegie Mellon gave 1,222 people AI assistants for cognitive tasks — then pulled the plug midway through. The results: - After ~10 minutes of AI-assisted problem solving, people who lost access to AI performed **worse** than those who never had it - They didn't just get more wrong answers — they **stopped trying altogether** - The effect showed up across math AND reading comprehension - Ran 3 separate experiments (350 → 670 → full cohort). Same result every time. The researchers call it the "boiling frog" effect — each AI interaction feels costless, but your cognitive muscles are quietly atrophying. The UCLA co-author warns this could create "a generation of learners who will not know what they're capable of." Study hasn't been peer-reviewed y...

I've been thinking about how we structure "skills" in agent systems. Across different frameworks, "skills" can mean very different things: a tool / function a role or persona a multi-step workflow But there are actually two separate questions here: What does the skill describe? persona tool workflow How does it execute? stateless (safe to retry, parallelize) stateful (has side effects, ordering matters) Most frameworks mix these together. That works fine in demos — but starts to break in real systems. For example: a tool that reads data behaves very differently from one that writes data a workflow that analyzes is fundamentally simpler than one that publishes results Once stateful steps are involved, you need more structure: checkpoints explicit handling of side effects sometimes ...

I'm a developer by profession, and I've used AI to generate stuff that I know how to do myself and also stuff I have no idea about. Coding for my day to day using AI, I know exactly what to do and how to do it so i end up making features way faster than before. But every time I try to generate something that i have no deep understanding about - like content for a blog or demo videos (remotion + 11labs), or newsletters or social media posts, I always end up making something sloppy (AI slop). AI is here to stay, and instead of replacing people it might end up making people more valuable than before. I think it's high time to double down on fundamentals and make ourselves more knowledgeable and valuable. submitted by /u/SensitiveDatabase102 [link] [comments]

"Some report forgoing healthcare visits because of AI-generated advice. Fourteen percent of recent users say the AI information or advice they received led them to skip a provider visit in the past 30 days. When projected to the entire adult population, this represents an estimated 14 million U.S. adults who did not see a provider because of the AI-generated health information or advice they received." submitted by /u/StarlightDown [link] [comments]

The New York Times: "The program found that nearly 20 percent of the novels had been substantially written by A.I. Looking mostly at novels released between 2024 and 2025, Chakrabarty saw a 41 percent jump year-over-year in how many novels in his random sample contained a large amount of A.I. generated text" submitted by /u/StarlightDown [link] [comments]

submitted by /u/esporx [link] [comments]

Why on earth would you pay $49/mo for a polished Saas product when you can spend $500 a day building one for yourself in Claude. Absolute insanity if you ask me. The End of Software. submitted by /u/aipriyank [link] [comments]

submitted by /u/BousWakebo [link] [comments]