That was my thought about several of the “matches” – a little make-up and voila!
On the other hand, why bother, when either the celebrity, the historical person (some of them not even named), or both were relative non-entities.

Tangential questions:
How many people have to be able to recognize a picture for the person to be called “a celebrity”?
Do GenZers recognize “our” celebrities?
Probably more than we do theirs, but do they care?

(We know they aren’t always “trustworthy”: they DO “hallucinate” and apparently they’ve already not only successfully recommended suicide but also shown instances of “jealousy”…which makes one wonder if emotions, and/or addictive behavior/psychoses, can be—slyly?—“programmed” into said critters….)

File under: Dial AI for Murder…?

Even when chin, face, mouth, nose, and eyes are close, often aided by similar hair styles in the comparison views, the ears would not match at all.

Huxley and Philip Sells: are you suggesting that even long term savers and investors will not be able to realize meaningful gains by betting on the general economy of a free society (or “free” society) to realize improvements and thereby increase their net wealth? Some time ago Megan McArdle said that economic growth was the only real source for retirement savings, no matter what form of private or public payouts it took.

Philip Sells:

Other than playing index markets long or trading on insider information, so it seems to me.

In the mid-2000s I took a Stanford CS course from Prof. David Cheriton who had made a bundle advising the Google guys. He was telling us to learn low-level C to get jobs playing off the microsecond delays in propagating trades over the wire.

It’s gotten worse.

As for “Celebs Who looks alike exactly like people from history”

The displayed lack of grammar is all too typical of our failed educational system. I suspect it’s a reflection of a dysfunctional thought process. It took me, a mediocre high school student in English, (then lack of interest) a moment to puzzle out that they meant (perhaps) to write, “Celebs who look exactly like people from history”.

Tony Heller was interviewed by Tom Nelson’s podcast last July. His claim to fame with AGW skeptics is in using archival records to reject the orthodox temperature records that exaggerate recent CO2 claims and cool earlier 20thC temp records.

But his career work has been in the computer industry as a EE Master’s holder from Rice University — save, for example, the extensive software development work he did for NCAR (National Center for Atmospheric Research) in Boulder, CO, to put their global warming models onto super computers, some 20 years ago.

Tony has won quality control awards on microprocessor (or computer chips”) designing from Microsoft and Intel. Clearly, as a critic of AGW, he continues in the QC business.

But his recent and current work involves AIs. Tom Nelson asks about how it’s changing his work flow and productivity, as a statistical data analyst for his boss.

Tony tells us that despite “hallucinations”, it has revolutionized his work. His boss asks if he needs new programmers or coders. But Tony explains that new Comp Sci degreed recruits would require training in the tasks he needs performed. Go to 28m: https://www.youtube.com/watch?v=qtF0Bcp76iw

AI allows him to instruct statistical agents (ie, interactive computerized bots) and correct them over only several hours that would otherwise take a month of his time!

The only new position filled by comp sci grad does…customer service because he can answer customer software questions! Otherwise, Heller says, high ed in computers is useless for business today.

That’s dramatic impact.

As Elon Musk and others say, earlier AI frontiers required Data Centers for training computerized models that imitate natural Large Language Models (or LLMs).

While only 5% of Big Business uses Cloud Storage, and are therefore Data Center enabled, there is a long way to go for the market to expand. Nonetheless, the AI frontier has shifted to inferential logic processing. This means the LLMs are using more and more time doing computations. And only the highest and fastest in technical powers will reduce this problem solving time. Who needs that the most?

Therefore, software for full-time automatic driving assist for Tesla vehicles is being released over the coming winter months. Musk recently states that the range of life-saving improvement over operator driving is expected to halve human fatalities. And that further reducing fatal accidents to one-tenth of present death-loss is on the horizon.

Obviously, automatic driving is a three dimensional problem that can be solved with current AI technology. But what about four dimensional problem solving like the obstacle fraught airspace where automated drones for delivery and personal helicopters in urban areas roam? This is where compute inferential speed will come into play! Likewise, the battlefield where speed is always a strategic advantage.

TommyJay (ABOCE) is skeptical about fully autonomous driving. But if Musks expectations are met, car rental insurance rates will drop because of their use. One imagines that 90-100% full-time driving in a rental will drop insurance costs enough to benefit the consumer.

Another area to be affected over the next 2-3 years is this investor expectation. Automated Tesla’s and Waymo (Google) taxis will drive Uber out of business because it will be cheaper to run and safer to ride.

Personally, I hate senescence – the loss of physical functions – part of aging the most. But if one lives long enough, it is inevitable not just for us, but for all life forms. The safety of automatic driving, whether by ownership or rental, is therefore a welcome prospect to benefit my aging future self. Life is better as a mobile human-being, after all.

Now, will autonomous driving replace the EMT and ambulances? The frontiers of high tech change keep moving!

I have a friend who played his way through several hundred thousands of dollars daytrading with old school technical analysis. He lost his shirt.

I tried to tell him that whatever he could do, machines could do better and faster. In fact I understand the machines lay traps for such day traders.

I think this is the intended audience.

As for mysrlf, one of the invedyment YTubers I followswears by fiscal.ai to easily produce custom charts on stocks. I think I’m going there soon to try it out.