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.
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.
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
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.
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
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.
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.
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.
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.
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.
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!
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.
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.
Not sure he can claim the phrase. On cursory glance, can find the phrase in multiple books prior to the publication of the cartoon, using the same phrase. Seems it was already in the vernacular.
1986:
"How about the afternoon?"
"How about never?”
there had to be someone else in the whole school he could talk to besides her.
"How about never?" She turned back to her notes and didn't even notice when Harry left the room.