7,882 karma · joined October 8, 2008
Now they’re scrambling to ship an iPhone alternative to get out from under Apple policy, but it really seems like they’re on constant defense now and have a very tough lift to actually get something truly mass market. I would be shocked if Apple, Microsoft or Google were irrelevant in 2030, but it is really possible (if not yet necessarily probable) that Facebook/Meta might actually just not exist in the same kind of way anymore then.
When they first announced the rebrand I actually thought it could be genius and that there’s no way they could have been doing it without a really well considered, heavily backstopped plan… but epic strategic miscalculation seems to be going around a lot this year.
The founding of Rome involved one brother killing the other over a hill… and if you don’t think they had large scale civil war, you simply haven’t read Roman history
> leaves me just in awe at the mind's capacity
Want a really trippy realization? All you ever see is brain activity! Sounds obvious, but most people haven't really internalized it. That's all regular perception, which feels totally real and solid, is. The psychedelic just gave you a greater ability to volitionally influence the percepts.
How does this interact with the concept of algorithmic stablecoins? Not every stablecoin is simply backed by deposits.
This would create an economic incentive to hunt scientific fraud, and possibly even replication studies, while also over time putting the money that's currently just being gouged by legacy publishers back into science.
Press X to Doubt
Biology uses an enormous space of small molecule structures (to say nothing of proteins, which have their own naming schemes) and few have names you might recognize generally, but all have useful systematic names that biologists and chemists can quickly parse.
As a twist, most systematic naming schemes don’t produce unique labels, so there’s often multiple ways to say the same thing, and different discipline subcultures have different biases in this regard.
Edit: re-reading OP, another interpretation is that they’re asking what percent of molecules in the body aren’t involved in biology. The answer to that is probably something that approximates 0%. At the end of the day, the combined interaction of all of this chemistry is what biology is, and everything is more or less everywhere. (…concentration is everything.)
[1] https://en.m.wikipedia.org/wiki/Systematic_name#In_chemistry
An API driven vivarium as a service with instrumented cages was tried to tens of $M by Vium. That didn’t take off, though there are lots of vendors of sophisticated cage instrumentation now, including based on computer vision. DeepLabCut is amazing and open source.
In terms of general progress in experimental tools, there has been tons. The modern super resolution confocals; affordable femtosecond light sources like the Coherent Monaco enables all kinds of awesome stuff; or newer methods like MERFISH and PatchSeq (or hell, just the total commodification of sequencing generally).
Microfludics are now widely used and super valuable as “ASICs”, though I think the lack of a general purpose “CPU” lab of a chip has misled people not in the field.
In terms of molecular tools, it’s just night and day from 10 years ago. iPSCs, CRISPR, expansion microscopy, tons of new labels and stains etc.
Ginkgo and Zymergen have enormous scale, invest heavily in software and robotics, and are working “in vivo.” Recursion also invests heavily in automation, and while I don’t think they run animals in house, it’s not clear what Transistor is proposing that would outperform them.
Lots of companies run lots of studies in tons of different species all the time. Less so in academia, but I don’t think saying “well everyone else is working in vitro and we will work in vivo” is the kind of arbitrage opportunity Transistor seems to think it is. Where there are bottlenecks that I think could be improved, they are either unsexy (an easy Stripe-product-quality 3rd party IACUC would be super useful) or hinge on showing up with an enormous bucket of money so you can do things like set up your own breeding colonies.
And of course scientists really do care about being right and finding lasting results that are big effects. It is so much harder than it looks to do that well, but the people working in it are super smart and, at least outside of academia, generally have good incentives.
Edit: I clicked through to their “Business” page, which reads in part:
> Transistor will instead build a system designed with speed and scale in mind from the beginning: an automated wet lab with an API interface. Current CROs require bureaucratic back and forth which can extend into the months and are extraordinarily expensive for results that one crosses their fingers and hopes are correct.
May I point them to a company I founded 9 years ago, which raised a $56M series B last week: https://strateos.com/
Does this mean an opportunity exists? Maybe. But I think Transistor has some education to do on where the true problems that would be valuable to solve lie.
Adam, if you’re reading this, I would definitely encourage you to take a step back and go deep on how you might prove that the problems are where you think they are. The stuff you’re describing has all been done many times at this point and just either hasn’t turned out to be valuable to solve, or now has big effective companies doing it, or is extremely difficult for non-obvious reasons. Your characterization of total doom in modern experimentation is inaccurate.
Also, not that it would have prevented this attack, but as a community we desperately need a fully open source FPGA-based ultra simple firewall appliance. The absolute minimum set of configuration options, the simplest possible hardware architecture; something you could actually trust with your life. Right now I have zero confidence that any of the commercially available security appliances are actually secure against nation-states.
Edit: removed reference to Gary being a psychologist. It was distracting from the actual point.
Where are all these people apparently doing long term, low latency wireless 1024 channel ephys with stim capability?