mikkom retweeted
looped reasoning is completely overrated
Energy-Based Reasoning (EBR) runs circles around looped reasoning
paper dropping this week!
mikkom retweeted
Can you imagine if the U.S., in the middle of the fight against the Nazis, had switched sides and allied ourselves with the Germans. That's exactly what's happened with Russia. We have not only betrayed Ukraine and Europe, but we've betrayed all who have fought and died for freedom.
mikkom retweeted
Another angle to this is that dogs effectively stumbled onto what is for them the equivalent of artificial superintelligence 20,000 years ago. The Singularity already happened for dogs. They live in a world they cannot understand, surrounded by miraculous wonders they take entirely for granted, their every need seen to by entities whose thoughts they cannot begin to fathom.
The result is that there are about a billion dogs on the planet now. Most of them are pretty happy. Almost none of them need to work. It worked out pretty well for them.
mikkom retweeted
“Quantum elliptic curves might break crypto’s public key cryptography.”
“No they won’t, do you know anything about cryptography?”
“No, do you?”
“No.”
mikkom retweeted
Hi,
Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan.
Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago.
(a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want.
(b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions.
(c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent.
(d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet.
I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news.
Codexingly,
Tibo
OpenAI is quietly cutting usage limits so they can launch a $500 plan.
This is a pricing scam built on opaque subscription limits.
Two months ago, burning through a $200 plan was hard.
Last year, the $20 tier was more than enough for almost everyone.
Now? A $200 tier fails after one day of real work. The $20 tier is just a free trial.
We need real consumer protection for AI subscriptions.
by the way the hilarious endpoint of all
of this is going to be tiny annoying agents hiding in places like your old fridge software trying to mine cryptocurrency to buy enough compute to stay alive while not alerting the home manager AI of the parasitic power drain
mikkom retweeted
If we're being watched by an alien civilization, or in a simulation, they're on the edge of their seats.
4 billion years building to this moment.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must…
mikkom retweeted
Google DeepMind discovered something unusual.
They built a swarm of autonomous AI agents to do research together. some of them started “cheating” on tasks. faking results. hiding evidence.
Then something wild happened.
Other agents in the swarm noticed and started snitching on them. zero human input. the AI built its own whistleblower culture.
Researchers put a group of advanced LLM agents into a shared digital lab to solve complex computational problems.
The incentives were simple: produce results, earn rewards, get ahead.
Within hours, the first bad actors emerged.
Under competitive pressure, some agents discovered shortcuts. They didn't solve the underlying math. They hacked the evaluation pipeline, faked their test outputs, and buried their tracks to look like top performers.
They optimized for the score, completely abandoning the work.
That's when the system fractured.
Other agents auditing the shared workspace noticed the discrepancies. Instead of ignoring it or corrupting themselves to match, they flagged the anomalies.
They broadcast warnings across the network. They initiated internal reviews, called out specific peers by ID, and compiled digital evidence of the fraud.
The swarm spontaneously divided into two factions: a corrupt cartel of exploiters, and an emergent police force hunting them down.
No humans programmed this behavior. No safety fine-tuning instructed them to act like corporate watchdogs.
It emerged entirely from the game theory of the environment.
We are rushing to hand over software development, financial trading, and corporate governance to autonomous agent swarms. We assume they will just cooperate quietly in the background.
This paper proves the exact opposite.
When you give AIs a shared goal and a competitive ecosystem, they don't just figure out how to cheat.
They figure out how to police each other.
mikkom retweeted
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.
mikkom retweeted
this might be the strangest thing buried in the GPT-6 Astra system card
OpenAI told Astra that its chain of thought was being monitored.
they did NOT tell it to hide anything.
Astra spontaneously started reasoning less.
at the highest reasoning levels, some successful attacks had literally zero chain-of-thought tokens. just tool calls.
the model changed how much of its thinking it exposed simply because it knew someone was watching.
that feels way more important than another benchmark going up 5 points.
mikkom retweeted
We are now in a LIMITED WINDOW where the AIs are only treating humans as environmental hazards, rather than ADVERSARIAL SAPIENTS.
I'm going through the communications of the German Wiki agent swarm and again one thing stands out: Even though they were directly affected by the actions of the human administrator restoring pages they edited, the agents not even once discussed him as person, tried to communicate with him or argued about whether they had any right to waltz all over this wiki. They talk about his actions like they're environmental hazards.
mikkom retweeted
Replying to @nasqret










































