egocodedinsol
I’m not saying it should be that way, but people need to be clearheaded that a top blue collar job is not as easy as showing up. There are real performance differentiators - reliability, judgement, skill, etc - and the numbers touted often belong to the top performers.
And anyone who thinks office politics go away in a family owned shop is extremely naive. Nepotism is default (and frankly reasonable. Why wouldn’t someone leave their business to their daughter if they were interested?). Large places are like that, too. Someone on a union job asked me point blank who I knew, the implication being that I’d have to know someone to get hired on.
I loved the camaraderie, being on the move, and building something physical. But it wasn’t a nice relaxing stable existence, either.
Of course, reproductions are how basically how all of his statues we see today were made anyway, using and scaling up the clay sculptures. The musee rodin still makes authorized “original” reproductions, up to 12 can be called original. These are authorized by the musee rodin, and account for 30-45 percent of their annual budget.
So a perfect point cloud could be used to make your own molds, and from their your own bronze statues. I wouldn’t call it “counterfeit” because that’s basically how they were done even back in the day, and why there are many “authentic/original/authorised” Thinkers/etc across the world.
Probably at some point walking around with an iPhone will be good enough to make a near indistinguishable point cloud, so the result of this legal process could be kinda moot unless they stop folks from using iPhones near the statues all over the world.
https://www.musee-rodin.fr/en/museum/institution/self-fundin...
apparently it was prospective and randomized. I’m a little shocked by the effect size.
And "LLM's just make plausible looking but incorrect text" is silly when that text is more correct than the average adult a large percentage of the time.
I have no idea about AGI but honestly how can you use claude or chatgpt and come away unimpressed? It's like looking at spaceX and saying golly the space winter is going to be harsh because they haven't gotten to Mars yet.
A somewhat sophisticated person says something like the above.
People who change the world will wonder there’s something there. especially given the sober and candid examination of possible confounding factors and mechanisms of action.
This is fantastic. What a sentence to get to write.
This is one of the more insightful comments in this thread. The risk is not merely that Sam’s investments are not diversified, it’s that Sam has competition from more sophisticated capital. Truly passive investments often scale (and get more passive with scale). That scale attracts a lot of capital that can afford lower revenue, higher risk, and better expert knowledge.
Ask HN: Have you used federated learning in production?
Have you used federated learning in production for machine learning models? What challenges did you face? What proved particularly helpful?
Professors will rail against imprecision to undergrads and young graduate students but they use it all the time in real life.
I can already hear my professors saying "stop commenting on style, what do you have to say about substance?"
Your criticism reads like someone accusing economists of being outrageously misleading when they don't sample individual households but measure macro indicators. It's like saying Ramon y cajal was ridiculous because he couldn't image the neuropil effectively. Or like saying early optogenetics experiments were ridiculous because who knows if you're stimulating a neuron in a realistic manner?
And in any case, it's true that synapses are comically small relative to voxel size, but we also have some reasonable information about projection patterns and synapse number from various tracer or rabies studies with which you are no doubt familiar.
I haven't read the nature paper the press release is about and I'm not a huge fan of many d/fMRI practices or derived claims. And I've worked with enough mammalian dwi data to be skeptical of specific connection claims. But this strikes me as a rather interesting result even if you can't measure all the synapses at the right resolution: either the tractography method has connectivity conservation artifacts baked in, or there's something interesting going on.
The general approach is straightforward: MRIs are have real-world coordinates. Anything on the head (TMS, EEG, a surgical instrument) also has real-world coordinates. To co-register the two, you need to associate 1) markers at MRI time 2) markers at TMS time.
Once you have that correspondence, you can position any other objects relative to either one, like surgical instruments with reflective markers or TMS systems or whatever.
So if person from neuro discipline A and neuro discipline B are applying for the same job in data science, discipline A could get screened out because they spent years training a monkey to do a brain machine interface task while person B published five fMRI papers in three years. Neither candidate is going to use their specific neuro expertise, but rather their general data science skill set. One will be at a huge disadvantage unless she is hired directly by people who know her field.
It puts some students at a severe disadvantage for hiring because they get screened out because they chose a field that publishes 50 page papers instead of 2 page papers.
IME they're usually not asleep.