ttul

11 ms·

31.
by ttul 1mo ago
What is the moment tensor in this context?
32.
by ttul 1mo ago
Try `1 + 0.16 cos(4 t) + 0.08 cos(12 t + pi/6) + 0.04 cos(36 t + pi/3) + 0.02 cos(108 t + pi/2)`
33.
by ttul 1mo ago
With this level of intelligence offered at this level of speed, new real-time applications become possible, such as providing expert advice during a phone call or court hearing. Current SOTA models are too slow in many cases to provide the
34.
by ttul 1mo ago
Always the bringer of facts to rain on my factless fun. Thank you.
35.
by ttul 1mo ago
I’m in a very small C-suite and AI psychosis definitely takes over from my normal level of dysfunction at times. Fortunately, my reports are good at telling me when I am full of shit.
36.
by ttul 1mo ago
2028, everyone. Hang in there.
37.
by ttul 1mo ago
These supernova-generating black holes are atomic scale (Schwartzchild radius of 15pm to 15nm), yet they carry the momentum of a large asteroid. If one of these hit the earth, they would cause a life-ending apocalypse like the event that en
38.
by ttul 1mo ago
We are seeing an exponential increase in the share of site traffic to our B2B company originating from ChatGPT and other models. Google Search is cooked.
39.
by ttul 2mo ago
Google TPUs are built around a 128×128 systolic array of multiply-accumulate (MAC) units. Trainium 1, Trainium 2, and Inferentia 2 also feature a 128x128 systolic array. You learn something every day. Today, it was the term "systolic a
40.
by ttul 2mo ago
It’s relatively easy to get access to the frontier labs’ security programs. This was not always the case. But in the last week, my team got approved for both Anthropic and OpenAI’s programs. They are trying. The labs know that if they don’t
41.
by ttul 2mo ago
Now who wants to say ChatGPT 5.6 Sol is just another token predictor...?
42.
by ttul 2mo ago
That's not the point. Often in medicine, the downside of using one thing is that you're not using another thing that would be safer and more effective. When people chase results from unproven therapies, often it means they're
43.
by ttul 2mo ago
What value is there to an informal conclusion when the topic is as important as intelligence? The downsides to creatine if taken without good scientific backing should not be disregarded, yet that’s exactly what many ordinary people are now
44.
by ttul 2mo ago
If the weights are open, censorship can be easily trained out of the Chinese models. But if you’re sending your tokens to China, all bets are off!
45.
by ttul 2mo ago
Oh yes, I know it’s a harness feature.
46.
by ttul 2mo ago
Fable seems to be a larger model. It costs more to run and does not seem superior for _typical_ software engineering work. But for work requiring raw intelligence, perhaps its size is an advantage. On the DeepSWE 1.1 benchmark (IMHO current
47.
by ttul 2mo ago
I think ultra mode needs to be more clearly documented (or perhaps cautioned against!). Most devs - myself included - who saw “ultra” mode figured that it’s just a magic bullet that makes the model work harder and achieve better results. Bu
48.
by ttul 2mo ago
It's kind of amazing that this took so long. On the other hand, this is just chapter 3025223 of the failed war on drugs and we can be confident that people will find something worse as an alternative.
49.
by ttul 2mo ago
A lot of the work that coding agents do requires tons of random access to files, which MacOS is particularly slow at. Not because the hardware is bad, mind you. Mac SSDs are amazing. It’s the file system. Secondly, MacOS supervises processe
50.
by ttul 2mo ago
And, make coding harnesses run 20x faster at many multi-processing and file operations by running the coding harness itself inside of Linux instead of MacOS…
51.
by ttul 2mo ago
You are not wrong, but the practical reality of local hardware is to be batch-constrained in comparison with a multi-user inference cloud. You will never be able to compete cost effectively in your home lab with a cloud that has >100M en
52.
by ttul 2mo ago
Here’s the two main reasons why local inference won’t compete any time soon with the cloud: 1. Most useful LLM work is done in parallel. A Mac Mini can run one LLM inference thread at a time. The cloud can spool up dozens and spread that in
53.
by ttul 2mo ago
I disagree with this assessment. Theo is nerdy and, yes, he has a healthy ego. But, he provides insightful commentary on his channel and he works very hard to present what he believes is the truth. Compared to many YouTubers, whose content
54.
by ttul 2mo ago
I’m guessing the OrbStack team will probably support MacOS native containers soon enough, with all their management goodness on top.
55.
by ttul 2mo ago
How much time have you spent with Fable? We're in new territory here. It does not create messes.
56.
by ttul 3mo ago
It’s not about Iridium. It’s about Iridium’s customers and partnerships. RocketLab hopes to launch their own satellites presumably and then can sell significantly improved services to them, without having to build a customer base from scrat
57.
by ttul 3mo ago
And anyone who has done an introductory course in VLSI design would know that capacitance (coupling) is something you usually want to get rid of. However, all kinds of amazing analog circuits have been developed over the decades that exploi
58.
by ttul 3mo ago
What they are trying to achieve is to demonstrate that the coupling approach works in a simulated physics environment (O(n^2) as you point out) so that they can then build CMOS circuits that create actual oscillators and then let the laws o
59.
by ttul 3mo ago
It's pretty great that you are providing the undistilled model on day 0. Here's a pro-tip: With Flux.2 Klein, someone created a turbo slider LoRA - basically a diff of the turbo 9B model vs. the undistilled 9B model. What's g
60.
by ttul 3mo ago
This is a massive technical report for an open weights image gen model. As someone who has followed this space closely, it’s really cool to read about the behind-the-scenes experimentation and effort that went into the final product. I hope

More ›