Merit should always consider strictly value.

While Paramount claims they cancelled Colbert as a cost cutting move, that makes no sense since other late night shows on other networks with smaller audiences continue. They must make some sort of financial sense.

It is widely understood, though not provable, that the move was a bribe to Trump in order to get the merger approved. Trump has had a longstanding dislike of Colbert because of his commentary on Trump as a person and as the President.

When is a hard question. Rationally it should never have blown up this much in the first place (some expansion would be rational, but not like we've seen). Clearly the minds driving this are not rational.

Insanity is notoriously hard to predict. That's why short selling is so risky. The market can clearly remain irrational longer than most people can remain solvent when betting against it.

The sheer amount of hate against organizations like EFF, tells me we need to support organizations like this more than ever.

The $5K a year just gives you a $300 per person per visit discount. So pays itself back in 15 visits or so.

Plenty of us nerds can afford this and want to see news about this.

Actually, the people who forget that seem to be in the business of marketing and press releases. QC has been the apocalypse that would turn the world on it's head breaking crypto left and right in the next 2 years for at least 10 years now. It still can't do prime factorization better or faster than a sixth grader with a pencil and paper. And the sixth grader won't charge as much.

Perhaps it will be useful one day, but not today. It may well take 100 years. Remember about 3 years ago when the size of quantum computers was going to double overnight? And how it went radio silent shortly after? The problem with QC isn't that it will never get here at all, it's the damned hype machine that promised it would be here now.

It's the same hype machine that told us we would be using crypto currency for all of our everyday transactions by now. The same hype machine that claims AI will replace everyone next year.

That's not how this works. There are a few ways to send an image to the bare display, but HDMI isn't one of them. If you actually look up the item list from TFS you will see that.

You didn't expect them to actually explain how you could manufacture an e-ink panel starting with sand and some chemicals in your kitchen, did you?

But it's not just the multi-billionaires. It's the many more multi-millionaires that produce nothing but wedge themselves into every transaction.

Look at any product that can be bought from an American company or direct from China. That HUGE price difference is how much the American company is skimming off the top.

It doesn't require nearly as many people working nearly as hard as we have now to provide for everyone.

Garbage regulations like IP create these behemoths. If you want freedom, stop regulating monopolies into existence.

Statism creates billionaires.

It's got a butt ugly design, it's roundy, transparent, plasticy, has the commodore logo on it, primitive, and it's got a SIM card.

You know what that means? It's still fully trackable, it will give you false feelings of safety, a phone without the bloat for sure, and maybe it's best as a 30$ Nokia simple-phone (yes they sell those), but this is a 500$ simple phone in disguise, and with a design that is so ugly that I can't even see it sell to people like me who actually used and coded Demoscene stuff back in the 80s.

Yes, and there's another reason to it as well (old fart ranting here):

When you do suggest that LLMs can be terrific and explain why they CAN be useful, old professional coders will often chime in, chop your head off and absolutely hate on you, every move you make, everything you say with passion.

I'm old so the last time that happened I just said "oh you're right, I didn't think about that, my bad" and they were happy.
Do you think I stopped experimenting with the tools? Not in any way. In fact I run my own local LLMs now on (I feel kinda super lucky) hardware bought the last few years before pricing became absolutely insane, so I have some hardware to do that, glad I did not sell those, but that's getting offtopic, I did warn - I'm an old fart so I do rant a lot.

But I do experiment a lot too.

For anyone who cares, here's the skills you do need:

- Your prompting needs to be god-tier level, it's like in the olden days we used to say "Google it", well most people had no clue WHAT to google, because they often didn't have the initial skills to know what to look for. LLMs are the same, they have various training, you need to know their limitations and ask questions sharply and very focussed, not like you'd ask a human (because they're not), but kind of extremely specific, like you would with a computer.

- Have thousands of hours with AI prompting, experimentation, build and learn to scaffold your code. Build frameworks with your AI, compartmentalize your code so you don't have to ask LLM to re-code everything from scratch every time, saves tokens, saves on context memory (especially important if you run locally). The thousands of hours with using the models will help you become an expert in using it as a tool, surprise - just like any other tool.

Just because you can prompt and get results, doesn't mean you'll get good results, you need to get good at recognizing the failure points, what it responds to well and where it fails, and learn to tighten your scaffolding skills. The more direct, focused you are, the more NOTES you take of your project, such as naming the items in your apps, naming the tasks in your app (accurately, not loosely like this), the more high quality your results will be.

- You also need to be a great project manager and note taker. Take tons of notes, document the hell out of everything you do, and have your LLM document EVERYTHING. Make things tight so an Idiot (me) could understand it even with meager coding skills (I might be humble here, but in my world everyone is better than me, it helps because you anticipate you could be wrong, this is good!).

Learn the above well, be humble, use several approaches, learn from that, and you'll be surprised how dangerous and amazing these tools indeed are. I've honed my local model skills to become so damn good I code actually good games today with the help of ONLY local models, we've reached that point - we were NOT at that point just 9 months ago.

No joke!

I guess you didn't read very carefully. They found a marker that appears 5 years before a diagnosis and also part of the mechanism of smoking and other things causing lung cancer AND potentially how to interrupt it. That's a good bit more than simply finding a well known correlation.