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> We’ve created GEN-1, our latest milestone in scaling robot learning. We believe it to be the first general-purpose AI model that crosses a new performance threshold: mastery of simple physical tasks. It improves average success rates to 99% on tasks where previous models achieve 64%, completes tasks roughly 3x faster than state of the art, and requires only 1 hour of robot data for each of these results.

Taken at face value, this seems like quite an achievement.

Announcement video: https://youtu.be/SY2xyrmV44Y

As time goes on I watch more and more videos of robots folding laundry faster and faster. Strange to think that one day, maybe not too long from now, people will stop taking videos of robots folding clothes.


I'm able to hit it both on and off my VPN.

https://downforeveryoneorjustme.com/google

https://downdetector.com/status/google/

https://status.search.google.com/

What DNS resolvers are you using? Are you behind a firewall you don't control?


Thanks for your report. It's back now to business as usual.

To answer your questions, I use Google's own DNS at home with full control over the stack.

För a minute I wasn't able to access Google at all while the rest of the internet was fine.


> Electrofluidic Fiber Muscles are a new class of artificial muscle fibers for robots and wearables. By integrating charge-injection electrohydrodynamic (EHD) fiber pumps directly into the muscle system, EFMs operate silently and untethered, eliminating bulky external equipment such as pumps, compressors, and tubing that has long limited the portability and practical use of fluidic soft robots.

Science article: https://www.science.org/doi/10.1126/scirobotics.ady6438

YouTube demo: https://youtu.be/8h4UEZTyres


I watched this on YouTube the other day. Another beautiful example of the creative power yielded from building within constraints.

Such a clever way to approach the problem! I'd say only possible with a detailed understanding of the N64 constraints.

Just like Superman 64

"chrome uses 2gb of ram"

these days individual _tabs_ are using multiple gb of ram.


Don't know about chrome, but Firefox has an about:memory special page that will let you know which tabs are using the most ram. Of all the sites I use, youtube is the only culprit. When I am done watching a video, I use the about:memory to kill the associated process (doesn't destroy the tab (in case I want to come back to it)). I assume it is all the javascript cruft.

Ctrl-Shift-T usually brings that tab right back at least

The Woes of Writing Markdown (And the wishes of SquiggleMark) is an essay about some of the technical and artistic challenges inherent to writing ergodic text using markup language. I posted her story Weave Me Another Cocoon last year[0], and it's a fantastic example of how art can push the limits of a medium.

> But the real superpower of pandoc is that, much in the way switching to neocities escapes the prison-roads of locked down platforms, switching to pandoc escapes at once the restrictions of both rich text and standard markdown.

> If you aren’t familiar with my work, then when I said I loved the details disclosure element, or that I’m experimental writer doing creative things, you could have brushed it off as a cute yet idle exclamation or an otherwise meaningless remark. If you aren’t familiar, then gaze upon Weave Me Another Cocoon and let its depths ensnare you.

> And that, finally, is what this year started me down the road to writing my own markdown parser.

0. https://news.ycombinator.com/item?id=44143596


On my first try I got "British", "You sound like a native English speaker with an British accent."

I'm good a enough actor to fool a robot!


This is a whole project to get into, but what you're looking to do is build a teletype.

https://www.instructables.com/From-Antique-Typewriter-to-a-F...

It can be done, and on the Unix end as long as it's hooked up as a tty you can just dump text into it, but you won't find any simple off-the-shelf modern hardware to do this.


Thanks!


That's hilarious. It's so close!


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