This physique is the exact opposite of what French Special Forces typically look for. French SOF favor the "chat maigre" (lean cat) build: light, agile, highly enduring, and exceptionally efficient under load. The goal isn’t to look strong, it’s to perform for days.
Bulgaria is the world’s #1 producer of medicinal herbs. Global pharma giants secretly rely on its endemic plants for the molecular base of life saving drugs. #Pharma#NatureTech#Bulgaria
Winston Churchill drank a quart of scotch every single day. He started in the morning at 7am with weak whisky and soda at breakfast, then kept going.
The man was functionally drunk for the entire Second World War. And yet he still outmaneuvered Hitler, outtalked Roosevelt, and outlasted Stalin. He lived to 90.
When asked about his drinking, he said he had taken more out of alcohol than alcohol had taken out of him.
That's real lifemaxxing, if you ask me.
A guy calls his broker and asks about egg futures.
Broker says they’re at 25 cents.
Guy says, “Alright, buy me 100 contracts.”
A week later he calls again.
Broker says, “Good call. They’re at 35 cents now.”
Guy gets excited and buys 1,000 more.
Few days later, he calls again. Eggs are at 50 cents.
Now he thinks he’s a genius, so he buys 100,000 contracts.
Next day they’re at 65 cents. He buys a million.
Then they’re at 95 cents. He buys another million.
Then $1.25. He buys another million.
Next day, eggs are trading at $1.75.
He finally thinks, alright, this is probably enough. Time to take profit.
So he tells his broker, “Sell 2 million contracts.”
After a long silence, broker finally says:
“Sell to who? You’re the egg guy.”
llama.cpp now has an official website: https://t.co/vztdUpdBWL
Our goal is to make local AI accessible to everyone, and improving the user experience is a big part of that. On the new landing page you’ll find a single-line cross-platform installer. The installation provides a single unified `llama` entrypoint which you can use to run/serve models and interface with 3rd-party agentic applications.
While oriented towards simplified user experience, the new `llama` application also provides all the advanced functionality of the existing llama.cpp tooling with which experienced users are already familiar. Also note that all GGUF models that you might have already downloaded with llama.cpp in the past will be automatically available to use without downloading again (they are stored in the common HF cache on your machine).
We have many improvements in the pipeline both at the UX and at the engine level and we plan to iteratively ship new things over the coming months. One of the main focuses will be seamless integration with local-friendly 3rd-party agents (such as Pi). In the meantime, we’ll continue to listen for feedback from the community and adjust accordingly, so keep letting us know what you think and need.
Let me trace the timeline here because nobody's connecting it.
Step 1: Scrape the entire internet. Every book, every article, every conversation, every piece of art, every forum post. Do it without asking. Do it without paying.
Step 2: Train a model on all of it. Call it "artificial intelligence."
Step 3: Go to BlackRock's Infrastructure Summit and announce: "We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter."
Step 3 is where you sell people's own knowledge back to them. On a meter.
They took the collective output of human thought, compressed it into a model, and now they want to charge you by the token to access a version of what you and everyone you know already created.
One Reddit user put it perfectly: "They stole all this data from us, the people, our life's work, creativity, art, by devouring the internet and blowing through all copyright laws. Now they want to sell it back to us in the form of a utility."
Imagine if someone photocopied every book in the public library, burned the library down, and then opened a subscription service for the copies.
That's the metered intelligence business model.
And they're pitching it to infrastructure investors as though they invented water.