Tomás Puig retweeted
This is quite a remarkable result:
Posed in 1939, the Jacobian conjecture is one of the central open problems in algebraic geometry, but was just disproved by Alpoge, Matthew, and Claude Fable 5.
The Jacobian conjecture roughly says that a multivariable polynomial F has an inverse function (made out of polynomials) provided the Jacobian is non-singular (i.e. matrix of partial derivatives has non-zero determinant). This condition is neccessary by the Inverse Function Theorem from multivariable calculus. The hard question is whether it is also sufficient.
Evidently, Fable found that
F(x,y,z) = ((1+xy)^3 z + y^2 (1+xy) (4+3xy), y + 3 x (1+xy)^2 z + 3 x y^2 (4+3xy), 2 x - 3 x^2 y - x^3 z)
has det(J_F) = -2 non-zero. However F is not invertible, since F sends three different pts (0, 0, -1/4), (1, -3/2, 13/2), and (-1, 3/2, 13/2) to the same image (-1/4, 0, 0).
Beyond the disproof itself, it would be value to know if a suitably refined conjecture is recoverable. Per @Acer, GPT5.6 has proposed:
"A constant-Jacobian polynomial local biholomorphism with no loss of sheets at infinity—e.g. a proper Keller map—is an automorphism."
I would be interested to know if any algebraists (e.g. @levent @littmath) have a reaction to this...
A further twist to the story:
Not only was the Jacobian conjecture one of the central open problems in algebraic geometry, it was (a special case of) Yitang Zhang's PhD problem!
The catch was that Zhang's advisor had him solve it, assuming a lemma of his advisor. But that lemma turned out to be false! As a result, Zhang's thesis crumbled and he then struggled to get recommendation letters and a permanent academic position. Despite all this, Zhang went on to prove bounded gaps between primes!
This is one of the most inspiring stories in modern mathematics, and was a motivation for me to work in the same area for my doctorate.
hello there the jacobian conjecture is false thanx to my close friend akhil for asking about it and my other close friend fable for working during the world cup final
((1+xy)^3 z + y^2 (1+xy) (4+3xy), y + 3 x (1+xy)^2 z + 3 x y^2 (4+3xy), 2 x - 3 x^2 y - x^3 z): \C^3\to \C^3, has jacobian determinant -2, and sends (0, 0, -1/4), (1, -3/2, 13/2), and (-1, 3/2, 13/2) to (-1/4, 0, 0)
Tomás Puig retweeted
hello there the jacobian conjecture is false thanx to my close friend akhil for asking about it and my other close friend fable for working during the world cup final
((1+xy)^3 z + y^2 (1+xy) (4+3xy), y + 3 x (1+xy)^2 z + 3 x y^2 (4+3xy), 2 x - 3 x^2 y - x^3 z): \C^3\to \C^3, has jacobian determinant -2, and sends (0, 0, -1/4), (1, -3/2, 13/2), and (-1, 3/2, 13/2) to (-1/4, 0, 0)
Tomás Puig retweeted
it's worth noting that due to rising costs of pretraining, the frontier isn't *that* accessible. training a 5T-A100B model on 50T tokens on GB300s costs like $10 million for the hero run. double it for RL. there's only a few thousand companies in the world that could justify it
Tomás Puig retweeted
Collette shouldn’t be calling Dylan anymore. There should be no more privileged information, access, or support given
SemiAnalysis got way too influential way too fast. Not enough life experience, and now you have a bunch of kids effectively pushing around the narratives that our entire stock market revolves around. Platforming them was a mistake
Tomás Puig retweeted
We consume data we did not create.
We inherit tools we did not invent.
We run on chips we did not make.
But when the commons bears fruit, we fence it.
Tomás Puig retweeted
I plan to live Anthropically. If someone asks me about something I don't like I'll just become a stupider version of myself
Tomás Puig retweeted
Replying to @elonmusk
I don’t quite get the flex here. Our in-house version of this has been finished for a while. In fact the next step hopefully is that they’re doing family tree like SHARP and NVSHMEM with in-box, in-rack, and cross-rack mapping. Then you get all-reduce out of the GPU completely and onto network.
This gets pretty hairy because you do need to make sure you’re on NCCL 2.28 as they only allowed auto shrink of the SHARP tree after. If they’re on NetworkX and not infiniband then no SHARP. Sync hiding if the all reductions becomes even more key.
I’m also curious what they’re maxing their Tensor Parallelism and Data Parallelism at. There is an inherent internal pressure of optimizer steps for over training and TP / DP. Assuming NVL72 racks and you max TP nets out to realistically 64 a rack with the additional trays as run spares and orchestration.
In real world practice though you rarely take TP above 8-16 since network traffic would crush you without perfect async.
I do think the trend to NetworkX will come back to bite people a bit since you’re sacrificing 10-30% GPU flops by refusing to offload it to the network.
Unspoken secret… the hard part isn’t writing the software… the hard part is writing the network warm up routine on the machines and nics once that software is available.
Tomás Puig retweeted
Introducing Kernels on the Hugging Face Hub ✨
What if shipping a GPU kernel was as easy as pushing a model?
- Pre-compiled for your exact GPU, PyTorch & OS
- Multiple kernel versions coexist in one process
- torch.compile compatible
- 1.7x–2.5x speedups over PyTorch baselines
Tomás Puig retweeted
We've been tricked, again. Many of the thousands of bugs and vulnerabilities Mythos found are in older software are impossible to exploit. And the severe zero-day reports rely on just 198 manual reviews tomshardware.com/tech-indust…
Tomás Puig retweeted
That new LFM2.5-350M is super overtrained, right? And everyone was shocked about how far they pushed it?
As it turns out, we have a brand new scaling law for that! 🧵
[1/n]
Tomás Puig retweeted
Estuvo hermoso, todos los latinos lo sentimos #Halftime #SuperBowl
Tomás Puig retweeted
Git worktrees are perfect for starting sandboxes for agents to propose a solution to a problem while you keep working on master or another branch. Here's the bash I use to start a new worktree/branch with "ga fix" (i.e fizzy--fix) and then "gd" after it's done to nuke it again.
Tomás Puig retweeted
The creator of GPT doesn’t have a PhD.
The creator of PyTorch doesn’t have a PhD.
The research lead at Cursor dropped out of NEU.
You don’t need a PhD or a top school to become a great researcher or engineer.
You can just do things!
Tomás Puig retweeted
So BF16 breaks RL and we should use FP16 instead, except it's actually just a problem with A100's so you're fine on newer hardware, but it's actually due to some arcane flash attention setting so you just need to check that, and otherwise we're probably fine with BF16?
Tomás Puig retweeted
Quote of the day:
I certainly don't agree that machines which can solve IMO problems will be useful for mathematicians doing research, in the same way that when I arrived in Cambridge UK as an undergraduate clutching my IMO gold medal I was in no position to help any of the research mathematicians there… it is still entirely unclear whether things will scale from machines being able to do mathematics which can be solved using high school techniques to machines being able to help with mathematics which can only be solved by having a deep understanding of modern research ideas… this is a big open question right now.
- Kevin Buzzard, mathematician, Imperial College London
Tomás Puig retweeted
So true. Windsurf and others are really bad examples of founders leaving their teams behind and not even sharing the proceeds with their team. I definitely would not work with their founders next time.
“There's an unspoken covenant that as a founder, you go down with the ship.
For better or worse, it's changed a bit over the last year and I think it's disappointing, to be honest.”
Enough said. This show is everything and more on:
- What really happened behind the scenes
- Did Google leave behind a treasure of an asset
- How was the deal structured
- How Cursor and Cognition deal with ever increasing reliance on Anthropic
My 4 takeaways with @ScottWu46 👇


























