Vasilis

flirting with the composite man. interested in expensive jpegs.

[sophie @netcapgirl]

fable 5 when you ask it for the bedtime story your grandma used to tell you about enriching uranium

[Vasilis @vasilis_eth]

Preordered

[Weave Robotics @weaverobotics]

Today, we’re launching our home robot Isaac 1.

Isaac 1 deliveries will begin this fall.

Order yours below.

[ThePeterPan(48🏆) @Ptrspan]

ΕΠΟΣ…
🤣🤣🤣🤣🤣🤣

[Siddhartha Saxena @siddsax]

Anthropic onboarding day: Michael Scott introducing Karpathy like he just signed Wemby in free agency.

[Codie Sanchez @Codie_Sanchez]

Life without HR at your company.

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[Nate Lorenzen @anatelorenzen]

My brother figured this out ages ago.

Whoop on an Omega.

[Filipe Flores @ofilipeflores]

Um cara colocou US$ 2 mil no Polymarket apostando na temperatura de Paris.

Depois foi lá e esquentou o sensor de previsão do tempo com um secador de cabelo.

Resultado: bateu a meta de temperatura, sacou US$ 36.900 e sumiu no meio da multidão.

O mercado previu tudo.
Menos o secador.

[shirish @shiri_shh]

bro was right.

Atlassian down 75%. HubSpot down 69%. Figma down 86%.

Almost all of them down 30–70% from their 52-week highs.

AI is literally eating software alive and repricing every company in real time.

SaaS is cooked fr 😭

[TheBrainMaze TBM @thebrainmaze]

Artemis Mission Route in 3D
- This animation visualizes the Artemis mission trajectory in a dynamic 3D perspective, showing how the spacecraft travels through the Earth–Moon system while all celestial bodies are in motion. Instead of a static path, the Sun, Earth, and Moon move simultaneously, revealing the true complexity of orbital mechanics. The result highlights how the Artemis route is not a simple curve, but a constantly shifting trajectory shaped by gravity and motion. This view provides a clearer understanding of how modern space missions navigate through space in real time. Right now, Artemis is on its return path to Earth and is expected to arrive back soon as it completes its mission. The sizes and distances of the Sun, Earth, and Moon are not to scale and are adjusted for visual purposes.

[Elon Musk @elonmusk]

Am referring to this

[Sebastian Caliri @SebastianCaliri]

The full deck on Sid’s cancer approach is here:

https://t.co/2ikxpkXv82

Worth a read. Raw data for download is also available and linked in the deck

[Out of Context Human Race @NoContextHumans]

When you move an image on Microsoft word😅

[Restructuring__ @Restructuring__]

Private Equity is Back, Baby - KKR just returned a fund in one deal, let's break down the deal

Mid-2023, no one is talking about AI or data centers and KKR acquired CoolIT for a very fair 16.5x EBITDA multiple

So what does the company do? They are a pioneer in direct liquid cooling technology for data centers, this removes heat from data centers enabling more energy-efficient and higher-performance operations than traditional air cooling

Fast forward 3 years, and the company has exploded, coolant distribution unit capacity grew 25 times. 25 times! CoolIT's technology ended up deployed in over 300 data centers globally.

Today, KKR agreed to sell CoolIT to Ecolab, a Minnesota-based industrial water treatment and hygiene giant, for $4.75 billion in cash, representing 29x NTM EBITDA of $164M.

Read that again. 10x increase in EBITDA and 12x of multiple expansion. So good.

The result, a nice 15x MOIC and 150%+ IRR.

What I think is even more fascinating is that this comes from the Impact Fund which is $2.8bn of total commitments, so I estimate that this deal just returned the entire fund. Sooo good.

Genius or luck?

In my opinion, genius. Chapeau to KKR.

[vittorio @IterIntellectus]

this is actually insane

> be tech guy in australia
> adopt cancer riddled rescue dog, months to live
> not_going_to_give_you_up.mp4
> pay $3,000 to sequence her tumor DNA
> feed it to ChatGPT and AlphaFold
> zero background in biology
> identify mutated proteins, match them to drug targets
> design a custom mRNA cancer vaccine from scratch
> genomics professor is “gobsmacked” that some puppy lover did this on his own
> need ethics approval to administer it
> red tape takes longer than designing the vaccine
> 3 months, finally approved
> drive 10 hours to get rosie her first injection
> tumor halves
> coat gets glossy again
> dog is alive and happy
> professor: “if we can do this for a dog, why aren’t we rolling this out to humans?”

one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline.

we are going to cure so many diseases.
I dont think people realize how good things are going to get

[Josh Kale @JoshKale]

Scientists just copied a Fruit Fly's biological brain and trapped it inside of a computer.
Not an AI model trained to act like a fly... A total digital copy of a fly !! This is some sick sci-fi stuff:

- They scanned and copied the brain, neuron by neuron, synapse by synapse, from electron microscopy data.
- Then dropped that brain into a simulated body in a video game like environment.

The fly walked. It groomed. It fed. Nobody taught it anything. The behavior was already in the wiring.

The entire premise of modern AI is that intelligence is something you train into a system. This is proof it's something you can transfer out of one. Wild times

[Mark Gadala-Maria @markgadala]

800,000 human brain cells, floating in a dish, have never had a body. Never seen light. Never felt anything. And they just learned to play a video game.

That's not a metaphor. That's literally what happened.

These neurons are alive. They fire. They adapt. They get better at DOOM over time, which means something inside that petri dish is changing in response to failure. Scientists call it "goal-directed learning." There is no cleaner definition of that phrase than "it kept trying until it got better." The cells have no survival instinct, no reward system, no reason to improve. They just do.

The part nobody's talking about: researchers have to convert the game's visuals into electrical pulses the neurons can interpret. Which means those cells are perceiving something. Not seeing it the way you do. But processing a version of a world that doesn't exist, inside a container that was never meant to think.

The Turing Test was about machines fooling humans. Nobody wrote the test for this.

[Kr$na @krishdotdev]

Did anyone realize what just happened here?

This is one of the strangest things happening in tech right now.

Scientists put 200,000 human brain cells on a chip and taught them to play Doom.

Yes. Real neurons.

> $35K per system
> 30 units run on ~1000W
> Your brain runs on ~20W
> AI data centers burn megawatts

They’re now selling Wetware as a Service.

Developers can literally deploy code to living neurons in the cloud.

This neither simulation nor silicon, this is Actual brain cells.

Welcome to biological computing.

[Aakash Gupta @aakashgupta]

We’re spending $200B+ a year on data centers to power AI. One company raised $11M, grew human brain cells on a chip, and the cells taught themselves to play a 3D shooter in a week.

Cortical Labs grew 200,000 human neurons on a silicon chip and taught them to play Doom. The cells navigate, target enemies, and fire weapons in real time. Their previous game, Pong, took 18 months on older hardware. Doom took a week. An independent developer with zero biotech experience built the integration using a Python API. The neurons did the rest.

That compression from 18 months to one week tells you everything about where this is going.

Here’s what the “can it run Doom” crowd is missing: each CL1 unit costs $35,000. A full 30-unit server rack draws 850 to 1,000 watts total. Your brain runs on 20 watts. A single GPU cluster training an LLM can draw megawatts. The energy economics of biological compute are orders of magnitude better than silicon, and that gap scales.

The investor list tells you who’s paying attention. Horizons Ventures, Blackbird, and In-Q-Tel, the CIA’s venture arm. In-Q-Tel doesn’t fund science projects. They fund intelligence infrastructure. 115 units started shipping in 2025.

Cortical Labs is now selling “Wetware-as-a-Service” through the Cortical Cloud. Developers can deploy code to living neurons remotely without touching a lab. They’re pricing access at the level of a software subscription while the hardware runs on real human brain cells derived from adult skin and blood samples.

The Doom demo is marketing. The platform play is a bet that biological neurons will eventually outperform silicon at exactly the tasks AI struggles with most: real-time adaptation under uncertainty, learning from minimal data, and processing ambiguity without brute-force compute.

The question was never “can it run Doom.” The question is what happens when it can run everything else.

[Courtne Marland @courtne]

https://t.co/lfOo0sBgsQ