There is only one reason why the best of us retreat into solitude. For that time, know we are on a quest. No one can help us.
The true warrior spirit must show itself within this time, and we fight for that time to exist for that to happen.
We are stoking our greatness, devoid of influence and understanding of the "real world."
That is the goal. Intentionally.
This makes less a difference these days for everyone, depending on your use case --- we're quickly distributing both models and harnesses into fine-grained stacks that map to the operators knowledge/taste.
Right now....
Main harness w/o regard for cost == Cursor
Model Spec/Build = Claude
Model Review/Audit = CGPT
Model Features/Changes up to a threshold for complexity = Composer (especially front end)
Model Pre/Post flight automation with defined rails = Local / OpenRouter variants.
I feel like Anthropic is going to shoot soon....
@milichab How does one set reasoning levels for default/agents both statically and through the TUI. I can't get this to work. I've tried setting via agent .toml files, an override in .grok/config.toml, and even a wrapper script that tried appending reasoning_effort and --effort.
Agree with the application potential and general idea.
Iโve been doing this for months, but recently using html as a structured output for โthe plan/prdโ has been working great. The plan becomes interactive with toggles and input boxes to enhance context back to the LLM. The html file has a function to โexportโ the modified plan. This interactively feature is what is the alpha over markdown.
$btc - we'd be early. The Daily date is 4/29 @ 93.8.
4H is 4/15, 8 AM EST @ 69.5.
1H was at 5PM EST yesterday good for ~ 2% up. Breaker down 73.6.
74.6 break/hold --> release to 78.8 for test.
GLHF
This guy just left Google and made a billion dollar bet that every AI company alive is building the WRONG technology.
He spent 13 years at Google DeepMind building the most legendary AI systems ever created.
AlphaGo: Beat the world champion at Go, a game experts said computers wouldn't crack for another decade.
AlphaZero: Taught itself chess from SCRATCH with just the rules. Beat the world's strongest chess engine within hours.
AlphaStar: Reached grandmaster level in StarCraft II against professional players.
And every single one learned the same way: NOT from human data.
They learned from their own experience. Playing against themselves millions of times until they discovered strategies no human had ever conceived.
That's the detail everyone's missing according to David Silver.
Because right now, the entire AI industry is doing the OPPOSITE.
ChatGPT, Claude, Gemini, and Grok all work the same way:
They inhale the entire internet, every book, every article, every Reddit post, and then predict the next word in a sequence.
That's the whole trick.
Silver says this approach has a hard ceiling.
These models can remix human knowledge. Summarize, rephrase, recombine what humans already wrote.
But they CANNOT discover something genuinely new.
They can't reason from first principles, plan 20 moves ahead, or understand physics.
A two year old knows what happens when you push a glass off a table. GPT-5 does not.
That's why AI hallucinates. No understanding of reality. Just word prediction.
So Silver quit DeepMind. Walked away from 13 years at the most prestigious AI lab on earth.
And yesterday raised $1.1 BILLION in a seed round.
It's the largest seed round in European history. A $5.1 billion valuation before even building a SINGLE product.
- Sequoia flew to London personally to lead the deal
- Nvidia wrote a check for at least $250 million
- Google invested
- The British government invested through their Sovereign AI fund
His company is called Ineffable Intelligence.
Its stated mission: "To make first contact with superintelligence."
This is not another chatbot or a coding assistant.
He's building what he calls a "superlearner." An AI that discovers ALL knowledge from its own experience without pre-training on human data, internet scraping, or copying what humans already know.
The same approach that produced the legendary Move 37 during AlphaGo's match against world champion Lee Sedol.
The AI made a move that had a 1 in 10,000 chance of being played by any human in history.
Every expert thought it was a bug. The live commentator said "I don't understand." Lee Sedol left the room for 12 minutes trying to process it.
It turned out to be the most brilliant move of the entire match.
A machine discovered something that 5,000 years of human Go mastery never found.
THAT is Silver's bet. Not AI that copies humans better but AI that thinks in ways humans literally cannot.
His company compared its own ambition to Darwin: "Where Darwin's law explained all Life, our law will explain and build all Intelligence."
The crazy thing is that this is the THIRD billion dollar raise by an AI researcher in two months.
Yann LeCun's AMI Labs raised $1 billion last month at $3.5 billion.
Mira Murati's Thinking Machines Lab raised $2 billion at $12 billion.
Now Silver at $1.1 billion and $5.1 billion.
3 researchers and 3 startups with zero products, revenue, or customers.
Over $4 BILLION raised on resumes alone.
Either these people are about to crack the most important scientific problem in human history.
Or the investors can't tell the difference between genius and hype.
What do you think?
What if?
LLMs existed way before we were introduced to them.
You'd think there would be evidence of such? Right?
You'd think it would be somewhat obvious that something like Mythos/Anthropic not being used by the DoW wouldn't be talked about, b/c, what do they care, they are 20-30 years in advance of what we see. It wouldn't be a topic. Isn't that interesting...
You'd think that.... so, Keep thinking that.
See where it takes you.