rotskoff

My research group at Stanford has been alpha testing Tinker, it's both very useful and also really technically impressive in my opinion. It's a unified framework for post-training models and it abstracts almost all of the complexity of managing these jobs across resources. That it manages to do this while also allowing a lot of algorithmic flexibility is pretty unique.

In fact, the shoe was not banned and it is one of the most widely used marathon racing shoes out there. Nearly all other running shoe companies followed suit and made more efficient racing flats with carbon plates and high energy return foams. Some restrictions did come out, including limits on the "stack height" racing shoes and more stringent restrictions on the track. The current generation of these, the alphafly 3, were just used to break a world record in the Chicago Marathon by Kelvin Kiptum. Those are unreleased as of yet.

Statistical physicist here. Negative temperatures occur when a system has a finite number of high energy states. On average, when temperature increases, both the energy and the "randomness" or entropy of a configuration increase as well. Of course, if there are only a few high energy states available, then the randomness will not increase, it will decrease. That's negative temperature! Because we define temperature as the rate of change of the energy with respect to the energy, in systems like the one I described, this rate of change becomes negative.

Came here to make the exact same comment, agree completely!

I follow court news pretty closely and was genuinely curious about this decision. Here is a brief description of what I understand the decision to mean (I am not an expert by any means). Under the federal "Major Crimes Act" (MCA) members of various Native American tribes are not subject to state prosecution for crimes committed in "Indian territory". This case was brought by McGirt, a member of the Creek Nation, who challenged his conviction based on the original treaty establishing the Creek reservation in eastern Oklahoma. The headline is a bit misleading: for purposes of the MCA, eastern OK is now considered a part of the Creek Nation. This means McGirt must be convicted with the reservation's justice system or in federal court. It also has the consequence (discussed extensively in Roberts' dissent) that many existing convictions could potentially be vacated. It will be interesting to see how the Creek nation works with Oklahoma to address these changes.

I follow SCOTUS news pretty closely; the discussions below are a bit misguided. Audio transcripts of oral arguments are already widely available---you can even subscribe to the Oyez podcast feed and find them in your podcast queue a few days after the court hears the case. The new thing here is "live", so as a practical matter, it probably doesn't constitute a huge change. If there were an incentive for the justices to produce "sound bites", it would already exist. C-SPAN coverage will probably increase the visibility a little, but, having listened to many of the arguments this term, I'd say that most cases are too technical to be of much general interest.

A second point: oral arguments are performative. The cases are argued via written briefs and oral arguments provide a venue for the justices to question the petitioners about their arguments and air their responses to what the believe the other justices are thinking. Streaming the arguments, as opposed to making available courtroom audio after the fact, doesn't seem to change the dynamic much.

Many court watchers have taken this as an optimistic sign that perhaps the court will allow video. However, this is one thing that the court has strongly resisted. Some of the justices are known to prize their relatively low public profile and there's been speculation that maintaining that pseudo-anonymity is perhaps a reason for the hesitance.

As many have pointed out, this rediscovers Newton's method. The reason that this type of approach with a "hessian pre-conditioning" is not widely used in practice is that computing the hessian is costly. Avoiding that additional computation is the idea underlying "quasi-Newton" methods like BFGS and (more loosely) popular methods like Adagrad.

In the chemistry / molecular biology community, that is definitely part of the role played by a journal like Cell. It is considered a very prestigious journal and tends to publish only what the editors and reviewers perceive to be very important findings. Of course, we (scientists) are imperfect reviewers and sometimes don't see the value in great work and likewise sometimes imagine greatness in mediocre work. Editors also feel pressure to select work that they believe will be rapidly and frequently cited---as the number of citations per paper in the first two years after publication affects the impact factor of the journal.

Unlike math and physics, many disciplines have only recently adopted preprint servers (like bioRxiv) and there's still some bias against posting preprints within the community.

As a statistical physicist, the title of this article looks the way "Two new papers explore the complexity of neural networks" might to a working ML researcher. Bubbles and foams are, and have been, a topic of intense research in soft matter physics for decades. Foams, in particular, have myriad uses in industry and have many well-established models.