@felixrieseberg Awesome. QoL request for Claude code on desktop: when Claude uses the ask user question tool, give us the ability to minimize the question panel and go to the next question prior to answering the first. Thanks
Neural networks might speak English, but they think in shapes.
Understanding their rich *neural geometry* is key to understanding how they work – and to debugging and controlling them with precision.
Starting today, we’re releasing a series of posts on this research agenda. 🧵
@noahzweben@bcherny It has stopped working for me. Shows message as read but returns nothing. This was after having success with it and deleting the conversation.
Japanese actor Hiroyuki Sanada spoke about the contradictions of human nature:
“Some people dream of having a swimming pool at home, while those who have one hardly ever use it. Those who have lost a loved one feel a profound sense of loss, while others often complain about their living relatives. Those without a partner long for one, while those who have one often don't appreciate it. The hungry would give anything for a meal, while the satiated complain about the taste of their food. Those without a car dream of owning one, while those who have a car are always looking for a better one.”
The key to happiness is gratitude: truly seeing and appreciating what we already have, and understanding that somewhere, someone would give anything for what we take for granted.
@SullyOmarr@simonw Yea man. You have solid takes. I also follow Phillip at @AIExplainedYT great YouTube videos (paid Patreon too) but he cuts through the noise/hype and breaks down the technical aspects as well
Announcing a new Claude Code feature: Remote Control. It's rolling out now to Max users in research preview. Try it with /remote-control
Start local sessions from the terminal, then continue them from your phone. Take a walk, see the sun, walk your dog without losing your flow.
The math on this project should mass-humble every AI lab on the planet.
1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output.
The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice.
Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet.
And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.”
This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one.
We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that.
The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.
@RobertJBye@trq212 Ability to connect it to local files. Not upload but connect via an mcp which y’all made very easy on desktop. Maybe this isn’t possible on iPhone.
@felixrieseberg I use it anytime I’m working on code in the cloud, mainly because I can kick it off or pick it up on my phone or other machines. Terminal for all daily knowledge work and local apps/projects. And now cowork has entered the chat. Enjoying that as well.