gully

Toyota's 1,850-acre EV battery plant is live, but the company says this is just the start Toyota’s $14 billion US battery plant is now up and running. The mega site spans 1,850 acres, or about 121...

The first batteries rolled off the production line at Toyota’s new $14 billion battery plant in Liberty, North Carolina. The plant will produce batteries for hybrid, plug-in hybrid & electric models, which Toyota plans to make up 70% of its sales by 2030 electrek.co/2025/11/17/t... 🔌💡 🔌🚗

Get outside into a dark place if you can tonight - no guarantees, but a possible brilliant display of the northern lights.

Hat tip @wilsonar.bsky.social for this! 🤣

"Nearly all important discoveries pass through a stage of neglect or obscurity,” Professor W. Grylls Adams went on to explain. “Either the public attention is already preoccupied, or the discoveries come at a time when the public are not prepared to receive them".
Energy, Rhodes

Bookmarking to read later. Several great-looking papers already on the back log! Bravo to folks doing the hard work

“Always write down the probability of everything” another fav, page 61

you cannot do inference without making assumptions
💜 David MacKay inference book still free PDF

www.inference.org.uk/mackay/itila...

Just made some sick animations, very jazzed so share these more widely someday

Howdy yall, how’s it going? Good here 👋

How we sharpened the James Webb telescope’s vision from a million kilometres away The only Australian hardware on board the legendary telescope is starting to fulfil its duties.

Thrilled to have two years' of work out, in a pair of papers led by @gradientrider.bsky.social and @maxecharles.bsky.social.

We've built a data-driven calibration of the James Webb Interferometer to near its fundamental limits for high-res imaging - explainer at @aunz.theconversation.com!

The figures in this paper are so satisfying!

Gotta say I am enjoying GitHub copilot PRs and code reviews. It really feels like a healthy balance of human in the loop guardrails and leveraging LLMs strengths.

Academic tautology

YouTube video by Kurzgesagt – In a Nutshell AI Slop Is Killing Our Channel

Brown dwarf research (!) was used as the example of how AI slop pollutes internet references

youtu.be/_zfN9wnPvU0?...

Pretty sure I heard this somewhere, the analogy has been coming to mind more and more as AI slop pollutes primary source information

Pre-LLM human-authored content is like pre-WWII steel, a precious and now scarce resource

en.wikipedia.org/wiki/Low-bac...

And as a bonus, here's a false-color composite of the same. Blue is mapped to all of visible, green is infrared beyond 850nm, and red is the methane band at 889nm.

🔭 #astrophotography #saturn

Another benefit of HMC should be joint modeling of disparate noisy sparse datasets. RV time series come to mind, you already showed photometry. Spectopolarimetry is tricky but possibly an opportunity: could leverage symmetry of multiple repeated projected disks with some physics informed modes.

Wait— there’s some similarity of the math here that should apply to the CMB, but only in reverse and inside out. In the CMB we directly sample the 3D heatmap, and then apply FTs to get correlation statistics then physics. Spherical harmonics decomposition, mapped through Autodiff is useful there.

Yes exactly, probabilistic reconstructions, so you can make trustworthy statements of confidence of any given reconstruction. For example answering questions on latitudinal distribution of spots or spot evolution, or ensembles of systems. So many directions to go with this.

Yeah certainly no urgency since the lack of targets. Awesome work team!!

It would collapse some of the symmetric modes and such. Of course probably not any real world analogy system exists, so mostly an academic exercise… but still!

Would love to see the information gain from hypothetical transits or eclipses of sufficiently resolvable bodies: basically you can do some amount of information stacking from the fact that you know/constrain the orbit.

I did have autodiffable FFTs if I recall, which blew my mind at the time, still sort of does. Your performance must be incredible with closed form and autodiff.

Closest analogy I can think of is Ian Czekala’s work on ALMA image reconstruction, but did not have the spherical harmonics component since it represented potentially arbitrary scene reconstruction. I think that was in Julia and then PyTorch if I recall correctly.

Yall check this out, it’s the top coolest thing I’ve seen in a while, closed form autodiffable representation of optical interferometry, enormously powerful. Yes!!

So stoked about this!

This rules

Is anyone using Typst? Thoughts?

Ooo new iTerm dock icon is satisfying