Saturday, April 25

Tag: Reddit

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AI swarms could hijack democracy without anyone noticing

A recent policy forum paper published in Science describes how large groups of AI-generated personas can convincingly imitate human behavior online. These systems can enter digital communities, participate in discussions, and influence viewpoints at extraordinary speed. Unlike earlier bot networks, these AI agents can coordinate instantly, adapt their messaging in real time, and run millions of micro-experiments to figure out which arguments are most persuasive. One operator could theoretically manage thousands of distinct voices. Experts believe AI swarms could significantly affect the balance of power in democratic societies. Researchers suggest that upcoming elections may serve as a critical test for this technology. The key challenge will be recognizing and responding to these AI...
Got into the Anthropic Claude Partner Network — have spots for people who want CCAF cert access
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Got into the Anthropic Claude Partner Network — have spots for people who want CCAF cert access

Just got accepted into the Anthropic Claude Partner Network. Part of the requirement is completing the CPN learning path with 10 people under our org’s domain. The learning path is 4 courses on Anthropic Academy — Agent Skills, Claude API, MCP, and Claude Code in Action. Once all 10 finish, the org gets CCAF exam access unlocked. The exam is currently free for partner org members if anyone here is already working with Claude and wants to complete this alongside us. You’d use a company domain email alias we set up — courses are fully self-paced. The courses are genuinely useful if you’re building with Claude. Comment or DM if relevant to you. submitted by /u/coder1215 [link] [comments]
Does the use of AI have the same value as when personal computers first came into use?
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Does the use of AI have the same value as when personal computers first came into use?

These days, what we hear most often is that AI will replace many jobs and could create chaos. But perhaps if we compare it to when personal computers first started being used, we'll see the same impact. And that didn't cause chaos, nor did it lead to an economic collapse or a massive number of layoffs. Some points to compare: - When personal computers first emerged, they began to be used for a wide variety of tasks and functions, in offices, at home, in college, in a wide variety of professions. The same is happening with AI, which is being used in the same way. - The personal computer was and is just a tool; it wasn't, on its own, something that caused a huge disruption in how things are done; it only accelerated processes. If we compare it to AI, it is also a tool that reduces the time ...
I ran a logging layer on my agent for 72 hours. 37% of tool calls had parameter mismatches — and none raised an error.
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I ran a logging layer on my agent for 72 hours. 37% of tool calls had parameter mismatches — and none raised an error.

I've been running an AI agent that makes tool calls to various APIs, and I added a logging layer to capture exactly what was being sent vs. what the tools expected. Over 84 tool calls in 72 hours, 31 of them (37%) had parameter mismatches — and not a single one raised an error. The tools accepted the wrong parameters and returned plausible-looking but incorrect output. Here are the 4 failure categories I found: 1. Timestamp vs Duration — The agent passed a Unix timestamp where the API expected a duration string like "24h". The API silently interpreted it as a duration, returning results for a completely different time window than intended. 2. Inclusive vs Exclusive Range — The agent sent end=100 meaning "up to and including 100," but the API interpreted it as exclusive, missing the boundar...
A Yale ethicist who has studied AI for 25 years says the real danger isn’t superintelligence. It’s the absence of moral intelligence.
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A Yale ethicist who has studied AI for 25 years says the real danger isn’t superintelligence. It’s the absence of moral intelligence.

I had the pleasure of sitting down with Wendell Wallach recently. He’s been working in AI ethics since before ChatGPT, before the hype, before most people in tech were paying attention. He wrote Moral Machines, worked alongside Stuart Russell, Yann LeCun and Daniel Kahneman. He’s not a commentator, he’s someone who has sat with these questions for decades. What struck me most in our conversation was his argument about AGI. Not that it’s impossible or inevitable, but that it’s the wrong goal entirely. A system can be extraordinarily intelligent and have zero moral reasoning. We’re building toward capability without asking what it’s capable of deciding. The section on accountability genuinely unsettled me. When AI causes harm, who is actually responsible? He maps out why the answer is almost...
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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