Wednesday, April 22

Tag: Reddit

Gallup poll: Gen Z’s AI usage increaes but excitement plummets from 36% to 22%
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Gallup poll: Gen Z’s AI usage increaes but excitement plummets from 36% to 22%

A new Gallup survey of 1,500+ Gen Z respondents found that more than half of Gen Z living in the US regularly use generative AI, but their feelings about the technology are getting worse. Among those aged 14 to 29, compared to last year, excitement dropped from 36% to 22%, hopefulness fell from 27% to 18%, and anger jumped from 22% to 31%. The main driver behind the shift appears to be job anxiety, nearly half of respondents said the risks of AI in the workplace outweigh the benefits. https://www.gallup.com/analytics/651674/gen-z-research.aspx submitted by /u/ObjectivePresent4162 [link] [comments]
Jeff Bezos's
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Jeff Bezos’s “Project Prometheus” is raising $10B at a $38B valuation to build “Physical AI”.

Jeff Bezos’s five-month-old startup, Project Prometheus, is nearing a historic $10B funding round backed by Wall Street giants like JPMorgan and BlackRock. The Tech: They are building "Physical AI" that natively understands the laws of physics to revolutionize physical products like aerospace, automotive, and robotics. It is Bezos's first operational role since leaving Amazon in 2021 with co-CEO Vik Bajaj, a physicist and former Google X scientist who co-founded the Alphabet health startup Verily. They’ve aggressively assembled a 100+ person powerhouse team by poaching top-tier researchers from OpenAI, Meta, Google DeepMind, and xAI. They even acquired the agentic AI startup General Agents shortly after launch specifically to bring former DeepMind researcher Sherjil Ozair and his e...
Apple's play for AI is a hardware bet, not software
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Apple’s play for AI is a hardware bet, not software

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]
Researchers gave 1,222 people AI assistants, then took them away after 10 minutes. Performance crashed below the control group and people stopped trying. UCLA, MIT, Oxford, and Carnegie Mellon call it the
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Researchers gave 1,222 people AI assistants, then took them away after 10 minutes. Performance crashed below the control group and people stopped trying. UCLA, MIT, Oxford, and Carnegie Mellon call it the “boiling frog” effect.

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...
Most agent frameworks miss a key distinction: what a skill is vs how it executes
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Most agent frameworks miss a key distinction: what a skill is vs how it executes

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 ...
Honest opinion about AI
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Honest opinion about AI

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]
New Gallup poll finds that low-income Americans are turning to AI as a replacement for expensive doctor's visits. Only 14% of all Americans use AI for this reason, but this figure jumps to 32% among the lowest income bracket (
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New Gallup poll finds that low-income Americans are turning to AI as a replacement for expensive doctor’s visits. Only 14% of all Americans use AI for this reason, but this figure jumps to 32% among the lowest income bracket (<$24,000). A plurality of Americans distrust AI's use in healthcare.

"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]
Evidence mounts that AI-written books are consuming the publishing industry: in 2025, the number of self-published books jumped by 40% YoY, from 2.5 million to 3.5 million. Running a random sample of these books through an AI detection tool shows a 40% YoY increase in books flagged as AI.
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Evidence mounts that AI-written books are consuming the publishing industry: in 2025, the number of self-published books jumped by 40% YoY, from 2.5 million to 3.5 million. Running a random sample of these books through an AI detection tool shows a 40% YoY increase in books flagged as AI.

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]
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