nateburke

Less Liszt/Paganini, more chamber music and teaching. I like it!

They are defending the value of their achievements!

They should explicitly advocate for the Fields Medal to weight teaching achievement more heavily going forward.

Releasing open weights that can approach frontier level intelligence (irrespective of number of tokens burned) is just a way of telling the world that anyone, even China, can serve frontier level inference if they have the chips and warm shells to do so.

What is stopping China from gaining a majority market share, then, in terms of serving inference?

AI Sovereignty -- yes

Cybersecurity concerns -- yes

Latency -- no, unlike previous emerging IT workload types , inference does not have strong latency requirements. eg 1s of additional network latency doesn't matter to a 15 min, 10-turn agent session.

Cost -- ultimately this comes down to a nations ability to plug chips into warm shells. which forks into geopolitical / trade on the chips side and energy scalability and modularity on the warm-shell side. Even if you call geopolitical / trade a toss-up, China has the US beat HANDILY on the energy front, yearly they are deploying 10x power to their grid relative to the US, which is shooting itself in the foot at every possible moment.

IMHO chip tech will travel across borders, absent a breakthrough in analog inference, energy scalability will ultimately dominate.

Issue 4 is incredible, I bought a damaged copy for a buck and it was the best literary dollar I have ever spent!

Seems like a common-sense approach. I appreciate the emphasis on understanding, humans will eventually be held accountable, blaming Claude for an outage is not going to get Claude fired.

I like the ev6!

Penderecki did most of the heavy lifting there

Agreed. Curious to know if any other prominent voices have delved into the numbers in a similar way?

Is this LBO a ridiculous enough of a proposition that you are going to email your senator and or representatives to complain about LBO loopholes in corporate finance law?

I didn't think so.

I wish them well!

Ti-30x is all you need.

Add on the compounding effect that "QA" or "test" in someone's job description was viewed as a synonym for "less-highly compensated" over the past few decades, and you have an entire generation of mid career devs with poorly adapted instincts regarding what is valuable in the process of shipping working product.

The bottleneck was never coding...

I did this at my last job, it's nice.

Interesting that the algorithmic finance firms are still recruiting. Perhaps they still need a pipeline of rigorous thinkers, or are unwilling to cede significant influence over P+L to llms.

It feels like xAI is perpetually playing catch-up.

They haven't quite committed enough to a novel direction relative to anthropic or OAI, what's described in the OP seems symptomatic of a lack of differentiation.

If you spend all your time judging yourself relative to the incumbents, there will be no time left over to innovate.

The leash is too tight!

from the tweet above: "Maybe even more importantly: Anthropic wants to control what people do with AI—they block companies they don't like from using their coding product (including us), they want to write the rules themselves for what people can and can't use AI for, and now they also want to tell other companies what their business models can be."