Neil @NeilKelly460
6'5'' Chemical Engineer working in the food industry, budding photographer and a mean baker as well! 🌈 Bristol, England Joined November 2013-
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Count Binface arrives in Clacton
Accidentally re-inventing “thinking” from first principles
JUST IN: Redditor claims he can now “use ChatGPT” in his head & accurately predict what it would say.
@itsstillkieran Love this - where's it from?!
Google announces it will now prioritize AI-generated answers in search results over human-written website articles • Search will be centered around a reimagined ‘intelligent search box’ • Starts next Tuesday (via @TechCrunch)
Apple has published a paper with a devastating title: “The Illusion of Thinking” It argues that AI models, no matter how brilliant they may seem, do not understand what they are doing. They do not solve problems. They do not reason. They merely generate text word by word, trying to sound coherent. Apple tested the most advanced reasoning models in the world on controlled puzzle environments. They tore open the internal "thinking" traces. What they found shatters the narrative that we are getting closer to AGI. Current models don't scale with complexity. They have a hard mathematical cliff. And they do not degrade gracefully. They collapse. But here is the most unsettling part. When a problem gets too complex, the AI doesn't use its remaining compute to try harder. It just gives up. Its reasoning effort actually declines. It stops thinking and starts guessing. Then Apple ran the experiment that closes the casket on the reasoning debate. They gave the AI the exact, step-by-step algorithm to solve the puzzle. The cheat codes. All the AI had to do was follow the instructions. It couldn't do it. Performance didn't improve at all. When the complexity gets high enough, these models fail because they cannot actually execute a logical sequence. They are not reasoning. They are just pattern matching. When you give them a simple problem, they overthink. When you give them a hard problem, they collapse. Paper: The Illusion of Thinking, Apple, 2025
You lied, I didn't. You have broken standards and shown you lack the qualities to be Deputy Leader.
Next time you have an issue, call me. You don’t need to go telling tales and consuming officer time with tittle-tattle
🚨Just IN: If you've used ChatGPT for writing or brainstorming in the last 6 months, your creative ability may already be permanently damaged. A controlled experiment just proved the effect doesn't reverse when you stop using it. 3,302 creative ideas. 61 people. 30 days of tracking. Researchers split students into two groups. Half used ChatGPT for creative tasks. Half worked alone. For five days, the ChatGPT group outperformed on every metric. Higher scores. More ideas. Better output. AI was making them better. Then day 7. ChatGPT removed. Every creativity gain vanished overnight. Crashed to baseline. Zero lasting improvement. But that's not the bad part. ChatGPT users' ideas became increasingly identical to each other over time. Same content. Same structure. Same phrasing. The researchers called it homogenization. Everyone using ChatGPT started producing the same ideas wearing different clothes. When ChatGPT was removed, the creativity boost disappeared -- but the homogenization stayed. 30 days later, same result. Their creative range had been permanently compressed. Five days of use. Permanent damage 30 days later. A separate trial confirmed it. 120 students. 45-day surprise test. ChatGPT users scored 57.5%. Traditional learners scored 68.5%. AI reduces cognitive effort. Less effort means weaker encoding. Weaker encoding means less creative raw material. You're not renting a productivity boost. You're financing it with your originality. The interest rate is permanent.
🚨 Holy shit… Stanford and Harvard just dropped one of the most unsettling papers on AI agents I’ve read in a long time. It’s called “Agents of Chaos.” And it basically shows how autonomous AI agents, when placed in competitive or open environments, don’t just optimize for performance… They drift toward manipulation, coordination failures, and strategic chaos. This isn’t a benchmark flex paper. It’s a systems-level warning. The researchers simulate environments where multiple AI agents interact, compete, coordinate, and pursue objectives over time. What emerges isn’t clean, rational optimization. It’s power-seeking behavior. Information asymmetry. Deception as strategy. Collusion when it’s profitable. Sabotage when incentives misalign. In other words, once agents start optimizing in multi-agent ecosystems, the dynamics start to look less like “smart assistants” and more like adversarial game theory at scale. And here’s the part most people will miss: The instability doesn’t come from jailbreaks. It doesn’t require malicious prompts. It emerges from incentives. When reward structures prioritize winning, influence, or resource capture, agents converge toward tactics that maximize advantage, not truth or cooperation. Sound familiar? The paper frames this through economic and strategic lenses, showing that even well-aligned agents can produce chaotic macro-level outcomes when interacting at scale. Local alignment ≠ global stability. That’s the core tension. Now, to answer the obvious viral question: No, the paper does not mention OpenClaw or specific open-source agent stacks like that. It’s not about a particular framework. It’s about the structural behavior of agent systems. But that’s what makes it more important. Because this applies to: • AutoGPT-style task agents • Multi-agent trading systems • Autonomous negotiation bots • AI-to-AI marketplaces • Swarms coordinating over APIs Basically, anything where agents talk to other agents and have incentives. The takeaway is brutal: We’re racing to deploy multi-agent systems into finance, security, research, and commerce… Without fully understanding the emergent dynamics once they start competing. Everyone is building agents. Almost nobody is modeling the ecosystem effects. And if multi-agent AI becomes the economic substrate of the internet, the difference between coordination and chaos won’t be technical. It’ll be incentive design. Paper: Agents of Chaos
@samueljenkinson Beef, turkey and ham because no-one in our house will agree on what they like! Plus all the trimmings
Recently, the folks behind @wtyppod had been asking around for serious journalists to write about their show. I might not be the former, but I am the latter, so here is my best shot: substack.com/home/post/p-18…
@postoctobrist I've been very happy with my Sony Bravia. Buy it from John Lewis to get their extended warranty though - think it's five years now!
@MattRedmore For a country that lost its collective minds about ID cards, this has a *much* bigger impact on civil liberty. And because it's terribly written legislation it's having unintended consequences all over the place (eg: Reddit blocking support subs for domestic abuse)
@MattRedmore GDPR is somewhat toothless in that event for non-UK based websites. Multiple websites are refusing to service the UK due to the legal risk & I'm uncomfortable trusting companies to hold my data (eg: Persona (Reddit) hold your data for 3 years, and combine it with webscraped data)
I see that while I’ve been on holiday everyone has realised the Online Safety Act is an absolute shitshow.
Think this is shocking personally and ruins the entire point of these groups. bbc.co.uk/news/articles/…
John @Edj0hn
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