kmckiern

fun!

I can't see what is what "the economy" has given to us in return.

Reductions in extreme poverty, increases life expectancy, improved access to education and healthcare.

Data is useful! But it seems like (I am not an economist) the incentive structures around these offices are failing. Maybe the benefits need to be more immediate / obvious / visceral.

Interesting - I've heard this anecdotally. Curious if you know of any resources that look at this in more detail?

https://arxiv.org/abs/2406.11717 https://huggingface.co/blog/mlabonne/abliteration

https://cdn.openai.com/o1-system-card-20240917.pdf

Check out the "CoT Deception Monitoring" section. In 0.38% of cases, o1's CoT shows that it knows it's providing incorrect information.

Going beyond hallucinations, models can actually be intentionally deceptive.

While GDP is growing, there has been a long-term decline in wages as % of GDP: https://fred.stlouisfed.org/graph/?g=2Xa

The median worker's day-to-day perceived quality of life may be more aligned with this downward trend.

I'm not an economist, so please correct me if I'm wrong.

First of all - very cool that they were able to image this and work out the mechanical mechanism in such detail.

Second - the rupture event looks so violent but iiuc it’s actually highly controlled: - the rupture site is thinned early in the ovulation process - the expansion step pulls in fluid to the ovary (builds internal pressure) - the contraction phase restricts the cell volume (which also builds internal pressure) - the oocyte is launched out of the cell at a relatively high speed

Since boundaries can be very helpful: could many lower level theories ‘emerge’ to classical physics?

"the biggest problems in drug development are not really solved by having faster access to protein structures ... we have far bigger issues with target selection (does this idea of ours really do anything against the disease, in the end?) and with unexpected toxicity (what else does our candidate do in real animals and real humans?) Those last two are where that 90% clinical failure rate comes from."

Who is your ideal user? Do you think this person frequents ProductHunt? That's your answer.

My experience is that the main users of PH are those launching a product.

I'll also add: after my PH launch, I experienced a lot of email spam from "growth hacker" types. I suspect they scrape PH. I tried to take down our post (because the spam was overwhelming), but PH refused.

It's hard but people do it! This is the field of "protein engineering".

Where there isn't an available crystal structure, Alphafold can be used to create initial structures for simulation via folding@home, replacing older homology modeling techniques.

Source: former folding@home researcher.

SF Mono!

Super cool, congrats to the team! I can't count how many times I've had to open the merging section of the pandas docs. Great library but I find a lot of it unintuitive and hard to commit to memory.

btw https://github.com/jamalex/notion-py

false. https://arxiv.org/abs/quant-ph/0405098

maybe this was the case in 2017...

<3