serioussecurity

Maybe a skill issue? Deepmind beat Minecraft. Or are the goals different?

Many of the harnesses used to search for solutions rely on quick/cheap correctness checks to discard incorrect hypotheses. With something like biology, you might need to run a wet lab experiment to reject an idea. This can add days per iteration, slowing progress down by a factor of 100 or more.

The sad reality is that many computational approximations for biological phenomenon are relatively weak and lack the predictive power we need.

Their brokerage dark pools their trades and front runs them.

Frequently they get pump-and-dumped based on some bullshit they read on Reddit.

These people lose money relative to index funds, so even putting money in index funds will let you take advantage of them.

It's extremely inconsistent internally as well.

Look up the slime mold analogy for Google.

If your paper is accepted to Nature it should be among the top results in your field for the year. This is just fine.

Edit to clarify: Nature has not been, historically, a venue for pure machine learning papers. It's been a venue for field changing work in the physical sciences. They already have a Machine Intelligence subjournal.

What this paper shows me is how desperate they are for ML papers, and how poorly their staff understand the field.

If trucks were forced to bear their share of the burden we might see a significant shift in how we transported goods, including more rail.

(Yes, I know rail doesn't work for last mile.)

To pick a specific piece of public information to support my claim: the previous SVP of ads quit immediately before the coup to start a subscription based search engine.

One nonpublic piece of information: basically every member of search leadership was pushed out within two years of his ascension.

What I realized later was that none of the civilian markets could possibly justify the cost of the project.

The particular type of signal fitting I was doing was only achievable by a few thousand expensive domain experts in the world, so, I think that addresses your other point.