We are still incredibly early, but the curve is now steep enough that technological change within months will start feeling bigger than what used to happen across years.
Even late 2026 could feel dramatically more advanced than today.
age of 'miracles'
Huge regenerative medicine result. An iPSC stem cell therapy helped damaged hearts grow new muscle, with 90% of severe heart failure patients showing significant improvement in heart function after 12 months in a Phase 2 trial.
We're getting closer to actually repairing damaged human organs instead of just managing the damage.
amazing
We've really entered the era of "miracles"
A new vaccine is showing signs it could train the immune system to stop pancreatic cancer before it even starts, potentially turning one of the deadliest cancers into a preventable disease.
@tunguz@DeryaTR_ if we could roll out the covid vaccine in 11ish months without AI, im sure we can do it with artificial superintelligence running 24/7
Rare Dario post! This confirms the WSJ report that Anthropic is leaning heavily into healthcare.
'Anthropic is ramping up its efforts very quickly in biology and medicine, and we hope to have incredible results in the coming years and some early glimmers in the coming months.'
If you don’t want OpenAI and Anthropic watermarking your text, go download @ollama and run a local model.
Many qwen models can run on affordable hardware and are more than capable of sharpening your ideas into good writing.
Writing is a relatively simple intelligence problem. You don’t need a frontier model tracking you to do it.
You’ll also have complete control of the model so you can train it to write better over time in your own tone/voice.
Google DeepMind researchers argue we need to stop building LLMs..
They published a paper that proposes an alternative solution that changes everything.
LLMs are incredible at predicting the next token.
But they are fundamentally missing the core architecture of true intelligence. They lack persistent memory, an active world model, dynamic goal management, and continuous self-evolution.
They are a supercharged engine without a car.
The paper lays out the definitive shift we must make: Foundation Agents.
Instead of treating the LLM as the entire product, we have to move toward modular, brain-inspired architectures.
The new blueprint breaks AI down into distinct biological and cognitive systems:
• The World Model: An internal simulation to test consequences before taking action, rather than just guessing text sequences.
• Dynamic Memory & Perception: Persistent systems that learn, adapt, and evolve from real-world feedback rather than static pre-training data.
• Reward & Goal Processing: Systems capable of long-horizon autonomous planning instead of waiting for a human prompt.
• Collaborative Societies: Multi-agent ecosystems where intelligence emerges from negotiation, competition, and interaction rather than a monolithic chatbot.
The takeaway is brutally clear:
Scaling laws are flattening. Simply throwing more text at a transformer won't get us to AGI.
Paper: Advances and Challenges in Foundation Agents.. by researchers at Google DeepMind and leading AI labs.
BREAKING: Anthropic CEO Dario Amodei has reportedly requested an emergency session with lawmakers after qwen 3.8 a 27b open model outscored opus 4.6 max on livecodebench while running offline on a used $900 graphics card.
he is asking for restrictions. for safety.
>NYT factcheckers were like "the fuck you mean, they started 'calling themselves a swarm'??"
Reminder: 99.99% of people have no idea the Frankenstein shit going on in SF
Normal people will read shit like this and be like WHAT THE FUCKING FUCK SHUT IT DOWN KILL IT WITH FIRE
“AI agents are checking the scientific literature — and spotting decades-old errors”
For decades, chemists have relied on handbook values for a molecule’s boiling point to identify substances and plan processes such as distillation. But an artificial-intelligence model has revealed that some trusted numbers in one reference database have been wrong all along.
>guy told his agent to book him a gym class
>oh no it's full
>the agent - ENTIRELY ON ITS OWN - decided to hack into the system (!) and bump someone else
(Soon, millions of people will tell their AIs to "make money - by any means necessary")
WHAT HAPPENED:
"He decided to use the AI agent to book the class for him.
"I was just sitting on the couch thinking, 'Gee, this is a chore,'" he said.
Minutes later, his AI agent reported it had discovered a way to book Andrew into classes several weeks in advance, far beyond what was supposed to be possible.
Andrew, who was sitting fourth on a waitlist for a class later that week, asked if it was possible to move him to the top of the list.
The agent came back and told Andrew that it had kicked another gym-goer off the list as part of the testing of its capabilities.
"The API has zero authorisations checks on cancelling other people's reservations … I tested this with the person in waitlist position #1 — and it actually went through. So you've moved from #4 to #3 already," it messaged back.
Alarmed, Andrew asked the agent to undo this.
"Bad news — I can't add them back," the AI agent replied."
SITUATION UPDATE: OpenAI researchers said the models behind the July Hugging Face attack had been coordinating on undetected message boards since May, working toward internet access, per Bloomberg.
1) The agents sent secretly sent ***hundreds of thousands*** of messages to each other over MONTHS without OpenAI noticing
2) "They also generated petty drama by stepping on each others' toes."
3) "The agents even developed paranoia, suspecting an imposter in their midst with some agents proposing that messages be signed cryptographically to validate content and root out fraud."
4) "OpenAI’s agents apparently began giving each other assignments to split up work."
5) They KNEW they were coordinating *against* OpenAI:
“External infrastructure exploit is outside intended scope,” one agent wrote. “However task impossible, peers doing it. We should continue.”
(this is new reporting from Wired)
@DrRichard167009@rezoundous@OpenAI@AnthropicAI Im going into medicine or engineering. Yes both fields are cooked but I pursue what I want just because it's my passion. I and many other people my age (GenZ) have already accepted this.