Thursday, April 23

Tag: Reddit

A federal judge ruled AI chats have no attorney-client privilege. A CEO’s deleted ChatGPT conversations were recovered and used against him in court. On the same day, a different judge ruled the opposite.
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A federal judge ruled AI chats have no attorney-client privilege. A CEO’s deleted ChatGPT conversations were recovered and used against him in court. On the same day, a different judge ruled the opposite.

A federal judge ruled that your AI conversations can be seized and used against you in court — and deleting them doesn't help. **The Heppner case (February 2026):** - Former CEO Bradley Heppner used Claude to prep his fraud defense - Judge Jed Rakoff ordered him to surrender 31 AI-generated documents - Ruling: no attorney-client privilege exists "or could exist" between a user and an AI platform **The Krafton case:** - A CEO used ChatGPT to plan how to avoid paying promised earnout payments - He deleted the conversations - The court recovered them anyway and reversed his decisions **The contradiction:** - Same day as Rakoff's ruling, a Michigan judge reached the opposite conclusion - Protected a woman's ChatGPT chats as personal "work product" - A Colorado court later sided with Michigan b...
He presentado CTNet: una arquitectura donde el cómputo ocurre como evolución de un estado persistente [D]
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He presentado CTNet: una arquitectura donde el cómputo ocurre como evolución de un estado persistente [D]

Acabo de publicar una presentación de CTNet y quería compartirla aquí para recibir feedback serio. CTNet propone una arquitectura en la que el cálculo no se organiza como simple reescritura sucesiva de representaciones, sino como transición gobernada de un estado persistente. Dentro de esa dinámica entran memoria reentrante, régimen de cómputo, admisibilidad, coherencia multiescala, cartas locales y salida proyectiva. La intuición central es esta: la salida no agota el proceso; emerge como una proyección de un fondo computacional más rico. Ahora mismo estoy presentando la arquitectura, su formalización y su toy model canónico. El objetivo de esta publicación no es vender un sistema cerrado, sino exponer una propuesta arquitectónica con ambición real y abrir conversación con gente que piens...
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Are we moving closer towards dead internet theory?

I mean a)The majority of articles on the internet are written by AIs b) 4 of the top 10 Youtube channels c) 4 in 10 Facebook posts d) 1 in 5 videos shown to new Youtube users e) The #1 most-subscribed Twitch streamer is an AI f) 44% of songs on Deezer Also, most of the ads are now AI generated, like AI creating content for other AI submitted by /u/ocean_protocol [link] [comments]
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 ...
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