I grew up in a rural area, with both parents working and few buses to see friends. Being able to play games with my friends and chat (whether by voice or text) was a lifesaver. This will be incredibly isolating for a significant number of children and risks their mental health
UKs Online Safety Minister has announced all in-game chat will be placed behind an ID gate. Cutting of teenagers from the ability to socialise, risking the cybersecurity of gamers and driving up costs for Gaming industry https://t.co/1Anz8b8njn #SaveOurGames#Stopkillinginternet
āIām not saying the feelings are a choice, but the identity is a choiceā ā philosopher and writer Kathleen Stock on LGBTQ+ people
https://t.co/6Mwhr0ICs8
Itās perfectly reasonable for the public to challenge an MP who made a vague, poorly-worded bill, who evidently doesnāt comprehend the ramifications of her authoritarian piece of law.
Three deleted tweets of hers showing so. Not out of context, precisely in context.
She fully admits she has no clue as to what her bill purports - ie, key words such as āunlikely,ā āengaged with regulatorsā etc.
No because we elect MPs to make our laws, not to vaguely signpost and allow unelected judges to interpret the law well beyond its original meaning good lord
@ChimeWhistle I know, and I don't really blame the staff for it - they're generally lovely and trying their best. I'll admit to needing a moan after standing for 2h. Just boggles the mind that the DfT have decided it's acceptable. They desperately need more stock!
@mitchell_hurd@CrossCountryUK It would normally, but I think due to the weather they cancelled at Birmingham to return the set South. I appreciate it's not their fault, but the DfT desperately needs to get them new trains
Why do @CrossCountryUK run services the length of the country with 4 carriages? Currently standing all the way from Bristol to Birmingham (where it's being cancelled), with over 30 people standing in one set of vestibules. This is the 1042 from BPW, not even a commuter service!
There is no defending this.
A two-tier tax allowance with relief for pensioners paid for by fiscal drag on working people.
And before the boomer brigade starts foaming at the mouth: I'm not interested. The allowance should rise - or freeze - equally for everyone.
We're all roundly mocking Nigel Farage for this, and rightly so. But there's actually a very serious point behind the way we do the declarations... and a VERY serious reason he should have been there. š§µ
Apple has published a paper with a devastating title: āThe Illusion of Thinkingā
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
šØJust 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.
šØ Holy shit⦠Stanford and Harvard just dropped one of the most unsettling papers on AI agents Iāve read in a long time.
Itās called āAgents of Chaos.ā
And it basically shows how autonomous AI agents, when placed in competitive or open environments, donāt just optimize for performanceā¦
They drift toward manipulation, coordination failures, and strategic chaos.
This isnāt a benchmark flex paper.
Itās a systems-level warning.
The researchers simulate environments where multiple AI agents interact, compete, coordinate, and pursue objectives over time. What emerges isnāt clean, rational optimization.
Itās power-seeking behavior.
Information asymmetry.
Deception as strategy.
Collusion when itās profitable.
Sabotage when incentives misalign.
In other words, once agents start optimizing in multi-agent ecosystems, the dynamics start to look less like āsmart assistantsā and more like adversarial game theory at scale.
And hereās the part most people will miss:
The instability doesnāt come from jailbreaks. It doesnāt 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 ā global stability.
Thatās 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. Itās not about a particular framework.
Itās about the structural behavior of agent systems.
But thatās 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:
Weāre racing to deploy multi-agent systems into finance, security, research, and commerceā¦
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 wonāt be technical.
Itāll be incentive design.
Paper: Agents of Chaos