Around 2029 we'll see that a ride is available for $16 or $31 with a driver.

Rider's choice. I'll guess it goes about 80/20.

He seems like a real scumbag but it's worth keeping in mind that the people who told us that have a massive incentive to pin their crimes on a scapegoat.

Since we pretty much know that FTX was the #1 donor to a party's political action committee with money laundered through Ukraine, he would have been smarter to wait for that conflict to conclude.

The people who benefited from the crime also prosecuted him which is never reliable.

It might not be FedSlop but unless it is proven that both parties didn't benefit we shouldn't trust this government either.

We do know that Ladybug Graham got $18M straight into his bank account from Ukraine so there is certainly smoke.

It's only since a dead man can't sue for libel that people are willing to print that nugget now.

Not in a Corporate Democracy.

The people who would prosecute OpenAI want to use OpenAI to maximize their power and wealth at your financial and legal expense.

Remember when they tried to extradite Gary McKinnon for twenty years for looking at a spreadsheet when he accidentally got RDP access to an unsecured NASA desktop with a simple Perl script? Intent is not relevant for prosecutors (mens rea should be an element in a Constitutional case).

The legal basis is there but the will to power is not.

Two systems of courts for different classes of people (yet again). It would be an error to call that a Justice System.

n.b. the Culture War psyop is there to try to convince you that the classes are something else.

Training these models is incredibly expensive. In fact it's so expensive that there is no viable economic model to do so. As such, their options are either to drastically slow down the amount of new models trained or to go bankrupt. This is just a nice whitewashing of that. It remains to be seen if even using their models can be profitable, but we know that with the cost of training the next one they can't be.

> have not consented to being recorded, which is a legal requirement in 11 US states that have all-party consent laws.

Do we all have to comply with the lowest common denominator? Perhaps some thinks it's the hugest, but it certainly doesn't have jurisdiction everywhere.

Maybe some kind location-based jurisdiction AI is in order.

The French will be on Britain's side this time and the Germans too, probably...albeit coincidentally.

Perhaps, "Now you know how it feels!" is more likely.

There are corrections to gravity that include the current size of the Universe as s term that gives extremely small differences in calculations but explains most observations.

It has a certain allure from an Information Theory perspective and is extremely parsimonious in ask.

But funding is for finding wimps and axons and evidence of mysteries that use the old equations so you are called crazy if your simple theory threatens that gravy train.

Some people say useful physics is too dangerous to fund and we're better off wasting time and money.

Twenty years ago Dark Energy seemed like a good idea to me. So did Supersymmetry. Most new ideas that can be tested and used or disproved probably should be. That LHC found no Supersymmetric pairs is a good thing.

Apologies to the original.

https://eev.ee/blog/2012/04/09...

According to a report I heard yesterday Talarico has 50x the cash of Paxton and it's the Bush politicial machine that is funding him.

The situation was similar in the primary but the base favored Paxton over Cornin by such a huge margin that the spend didn't matter.

The dual state people hate Paxton so much they have been after him for years.

It's populists vs. oligarchs in most races where party affiliation is a distant second to the money machine.

Since Trump ran on populism but then did a 180 with Judas knives out for his "former supporters" the odds of any Republican getting elected anywhere but an R+20 are extremely thin regardless of warchest.

DC's interference in free elections is gross but it probably won't matter on Election Day.

Impeachments of officials over FCC actions are quite likely at this point.

It's a way of reframing sloppy practices as a signal to your investors that your software has become powerful. Most of the horror stories about AI showing signs of becoming hyperintelligent are coming from the companies themselves, which should tell us something.

"You're folding it wrong," obviously.

Perhaps Tim Apple had the sense to get out ahead of this.

Happy to be proven wrong! That would be amazing engineering and might actually allow the rollable Global to come to fruition.

But since everybody who has claimed to have perfected the engineering hasn't actually done so one should be cautious on such investments.

While the energy source of wind and solar are free, building and maintaining the plants is not free.

If all they were building were a single 100MW data center, sure: renewables would be cheaper to build. But they evidently are planning a major campus that will consume most of the plant's 615 MW output over the next 25 years.

A solar installation, in a favorable location, capable of supplying 600MW around the clock (with battery backup) would have to be roughly 1800MW in capacity. It would be among the largest inthe world, on the order of ten thousand acres in size at a build cost of maybe 2 billion. The battery backup system to ensure 99.9% uptime would be 9x the size of the largest li-ion grid storage system ever built, and set you back on the order of 4-5 billion dollars.

While it's probably cheaper to go renewable than build a *new* nuclear plant, if you can reactivate and one for just two billion that looks like a bargain, if you have a use for all that power. Inability to save money by load following is the financial Achilles' heel of this generation of reactors, but if you have a guaranteed customer for most of your output, years in advance, that's as close to an ideal economic case for them as anything could be.

Obviously, if you approximate a complex system containing 1e30 quantum particles using a couple of differential equations and a few boundary conditions, you're not going catch every detail.

ToS is the strongest argument, but the distillers are not parties to the ToS. They get their data from data brokers. It is possible that data brokers are violating the ToS, but it would be hard to write ToS that precluded running queries for third parties without creating problems for consultancies and other businesses. Even presuming the ToS could be written to preclude the data brokers doing that, it doesn't affect the resulting model.

But the general shape of the argument brings us right back to unclean hands: we worked hard on this model and it's not fair for you to profit off our work in a way that doesn't have our permission.

Biochemist here. I've done genomics, I've done proteomics, I have customers in diagnostic medicine currently. My PhD was on protein-protein interactions, which is a big part of how our immune system works.

A lot of people are quick to jump on the fact that the Theranos system didn't work, and many others claim that it was impossible and never could have worked. While indeed their system didn't work, that doesn't at all disqualify the principle.

For one case study of how far we've come in recent times I point to genomics. The first draft of the human genome took more than a decade start to finish and cost over $1B. Now we can sequence full human genomes on a commercial scale for $500 or less, and it's done in less than a week with far better resolution than the first draft.

From genomics we went to proteomics; classifying proteins in a organism instead of just genes. This tells us more about what cells are doing (although transcriptomics can bridge the gap to a certain extent). Proteins are often better disease markers than genes as well for a similar reason. When proteomics started getting off the ground we were cataloging proteins from large amounts of cellular extract. Now we can catalog and in some cases quantify proteins from individual cells. We can also use protein staining and imaging mass spec to show which cells from a biopsy are expressing aberrant proteins (again as disease markers); we've reached a point where we can do this in real time on live tissue.

One of the biggest faults in the Theranos system was in the fact that blood is not the best serum for disease markers. Yes there are markers in there but not everything goes in there, and not always in quantities that are easy to observe. Blood is great because of how much is in there but lots is missed there as well.