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tbenst

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tbenst
·vor 7 Monaten·discuss
A key challenge with Alzheimer’s is there is no good mouse model for the disease. While some approximate the phenotype, it’s not clear that the disease model as commonly studied in mice matches well with mechanisms of the human disease. There’s some thinking in the field that this could be a key reason why so many treatments have appeared very promising in mice and haven’t panned out in humans.
tbenst
·vor 2 Jahren·discuss
Beautifully written and worth the read. And the screensaver nerd snipe is epic.
tbenst
·vor 2 Jahren·discuss
As a neuroscientist, my biggest disagreement with the piece is the author’s argument for compositionality over emergence. The former makes me think of Prolog and lisp, while the later is a much better description for a brain. I think ermergence is a much more promising direction for AGI than compositionality.
tbenst
·vor 2 Jahren·discuss
You’re right, I meant class 4
tbenst
·vor 2 Jahren·discuss
This is a well known phenomenon. It accounts for example in the flash perceived when someone inadvertently looks at an infrared class 5 laser and is blinded
tbenst
·vor 2 Jahren·discuss
This is fun, and the modeling is cool for sure, but it's well known that ultrasound can be used with surgical precision in the human brain.

Focused ultrasound is already used for non-invasive neuromodulation. Raag Airan's lab at Stanford does this for example using ultrasound uncaging.

https://www.frontiersin.org/journals/neuroscience/articles/1...

https://www.sciencedirect.com/science/article/pii/S089662731...

Also see the work by Urvi Vyas, eg

https://pubmed.ncbi.nlm.nih.gov/27587047/

I don't mean to discount the cool imaging-related reconstruction of a point spread function, but rather to say that ultrasound attenuation through the skull an soft tissue has already been well characterized and it's not a surprise that it is viable to pass through.
tbenst
·vor 2 Jahren·discuss
The Nvidia GH200/GB200 “superchips” are all ARM processors. Seems likely that some of the next generation of foundation models will be trained on ARM
tbenst
·vor 2 Jahren·discuss
I know the exercise was to p-hack, but instead I decided to one-shot my attempt at the most reasonable model from first principals:

- given that we are looking at a national scale, use only national politicians

- use the components from Macroeconomics 101: exclude inflation as that’s on the Fed, exclude stocks as too conflated with FX and international investing alternatives

- don’t needlessly withhold data

Tried one hypothesis, so p-value of 0.04 is accurate. Still OK to explore if you Bonferroni correct the p-Val afterwards
tbenst
·vor 2 Jahren·discuss
Any references for 99.9% density with SLM copper? My understanding is that pure copper SLM printing is less frequently done as doesn’t work well with the infrared lasers on most machines, requires high heat & speed, and has more porosity than other alloys. It’s also hard to print so that it’s strong, conductive and heat stable.

I think there’s still quite active research in the area, though, and no doubt there’s a lot going on that I don’t know! https://www.sciencedirect.com/science/article/pii/S026412752...

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10861549/
tbenst
·vor 2 Jahren·discuss
The high thermal conductivity of copper makes it difficult to maintain needed temperatures during SLM. Also, copper is prone to oxidation at high temperatures, further complicating (thermal based) laser melting 3D printing techniques. It’s more typical to print copper alloys than pure copper.
tbenst
·vor 2 Jahren·discuss
Fabric8Labs can print 100% density, whereas Desktop Metal is highly porous. Also Fabric8Labs can directly print pure copper, which has historically been very difficult. The process is also more energy efficient and better suited for small complex parts. Desktop Metal serves a different market in terms of material and size.

disclaimer: I'm a GP at Asimov Ventures and invested in Fabric8labs' pre-seed round.
tbenst
·vor 2 Jahren·discuss
Our preprint does exactly that :). https://arxiv.org/abs/2403.05583
tbenst
·vor 2 Jahren·discuss
x1798DE captured my intent well. For example, tonal languages like Mandarin or Cantonese may be more difficult to decode if vocal cords aren’t vibrating, and languages with more phonemes that have both a voiced and unvoiced version might be more difficult. I still think decoding will be possible for general language, but that’s a hypothesis whereas I know it’s true for English.
tbenst
·vor 2 Jahren·discuss
This is a super cool device. Note that the decoding is highly limited: they decode into one of five different sentences. This is easier than five words for example as there is more information to distinguish.

Unfortunately the media is blowing this way of out proportion as the larynx alone does not contain sufficient information to decode silent speech.

If you also sense the lips, tongue articulators, and jaw, then general English decoding becomes possible with high accuracy (eg see our recent work here: https://x.com/tbenst/status/1767952614157848859). It’s not in the preprint but I’ve done experiments with only the larynx recorded and performance is pretty abysmal on even a 10 word vocabulary—-hence why they did a five sentence task.
tbenst
·vor 2 Jahren·discuss
Very interesting but hard to interpret until the performance numbers / benchmarks are available. I can already fine-tune a 70B language model at home using CPU + RAM, but it would be so slow as to be almost totally impractical (~20x slower than GPU). It would be great to see a comparison to eg 8 x A100 (available for $32/hr on AWS on-demand) and also CPU + RAM. Presumably it’s somewhere in between, but hard to predict where!
tbenst
·vor 3 Jahren·discuss
There’s an amazing effort by a nonprofit to sponsor the first Kayak descent of this river by children from indigenous peoples of the region. This is a seriously intense adventure with anticipated class VI rapids.

https://www.riostorivers.org/
tbenst
·vor 3 Jahren·discuss
Does anyone know the state of running Windows / Linux x86-64 virtualization on Apple Silicon? This article is super interesting but dances around the most important application for VMs on Mac.
tbenst
·vor 3 Jahren·discuss
It’s more about the difference in magnitude of the lenses. This also gives you depth information when combined.