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This. Maybe AI will help make it clear that strong IP law was never about the starving musician or the heroic author who wrote his award winning novel under candle light. It is about mega property pools that will do anything in their power to maintain that property forever.

This reminds me a bit of the gaming industry. In most AAA game studios, junior openings are very rare or simply non existent. Companies expect you to learn the ropes elsewhere and only show up when you're experienced.

As long as there other companies scooping up the juniors (which we cannot assume will happen), this could be sustainable.

We won't solve the problem by raising taxes. Let me be clear that I agree that raising taxes should be part of the solution, I just don't think the people will vote for that. People will at most take a token increase on the "rich" that will bring in a lot less money than planned because they will find a way to dodge it.

Most likely, the bulk of the solution will come through debasement and stealth default. Real inflation plus manipulating the official inflation numbers to default on a part of inflation adjusted obligations like TIPS and social security.

I couldn't get past the first few paragraphs because this reads as if it was written by a teenager.

Food for thought: if OpenAI hadn't done that proof dump, it would be a matter of a few months until someone had. Maybe an independent researcher, possibly way fewer proofs, but would still have taken the Math world by storm.

The key problem is that the technology and not the company disempowered Mathematicians in a way that we had never seen before.

This is fine, but then we'd also have to specify your CPU performance constraints. If you max out a modern CPU for CPU rendering, you will get graphics vastly exceeding what 80s/90s CPU rendering could achieve.

I agree with you and I think others aren't understanding your point. "Hardware rendering" can also be achieved by the CPU in "software". It will just not be realtime. Just fire up Blender and render scenes using the CPU, which is a standard option. You will see how amazing "software" rendering can be.

There's nothing special about the GPU besides doing certain kind of operations that are very useful for graphics (and AI, among other things) really efficiently. The distinction should never have been "software rendering" vs "hardware rendering", but "what CPU rendering could achieve when GPUs weren't widespread" versus "what GPU rendering has been able to achieve since they became available".

They could also have phrased that as "Ability to move Permanently to U.S. for those who want to is at New Low"

Blue Wave? I'll reply with: BlueBEEP.

If you know what it is, you know what it is.

To be fair, there was hardly any thinking in the previous method where a Google Search landed on SEO, Reddit or ads.

The rise of AI coincides with the destruction of the old Internet.

I could have used that when leaving Costco last Saturday.

I've used the el cheapo for a long time with no issues... Sounds like a life hackers version of "premature optimization is the root of all evil"

My anecdote is that most of my coworkers across multiple jobs didn't like to explain anything. I think most engineers don't enjoy being interrupted for questions and I would have appreciated a way to get answers without bothering them.

At the same time, there's a type of person who loves to explain things. They give presentations and are extra helpful when engaged. I'm pretty sure you can still ask them questions.

I tried a little experiment on this page. I first tried to type D/F manually and couldn't get the guess rate below 61%.

Then I went to random.org and generated 100 integers. I went through the list one by one and pressed "D" for even and "F" for odd. I got only a 48% correct guess rate!

This will be one of the most interesting hacking races in gaming history. There will be legions of people competing to be first. I wonder how long it will take!

Game crackers will replace this string by "Make no mistakes"

What do you think the monetization model will be? Honest question. Some of the earlier examples of getting paid for FOSS involved selling customization services and support. But AI can now do the customization and a good deal of the support too.

Wr the streaming, totally agree. People already complain about the latency from wireless keyboards and the "low" 60fps at 4K. Streaming can't match local quality/latency, especially over wifi which is what almost everybody has.

Got it. Well, to be honest the marketing distinction isn't terribly interesting. But it would still be cool to see how the early GPUs (even if not called that) evolved.

If you work at OpenAI, I want to let you know I cancelled my ChatGPT subscription today because you won't stop pestering me with upgrade offers/ads.

Go do that to your free users, not the ones paying your salary.

What about the NV1? It was marketed as a "3D accelerator" but was a GPU nonetheless.

That's insightful, thank you. The follow up, then, is: will most "explorers" survive in a world where "problem miners" exist? I can see that the very best explorer could do that, but if things like tenure and prestige are decided by how many publications you have and which journals accept you, it will be next to impossible to compete against the miners.

To be clear, I empathize with your sentiment and revolt, despite being more of a "builder" myself in the software world. I just can't see how the explorer mindset can survive the onslaught of AI-augmented output.

At one point, the metrics were fairly aligned with the things mathematicians love, but nobody was ever judged by how much they like their work, right? The theory is that the more you like your work, the better your output will be. But motivations are multifaceted and I could see people who value careers over satisfaction winning if AI helps them.

I'm not saying I like this, just that it seems to be the most likely outcome.

One thing I don't yet understand and would appreciate an opinion from a professional mathematician is: are we okay with mathematicians that outsource the discovery of new theorems to AI while providing verification services themselves?

For instance, imagine a mathematical institute that hires reasonably competent mathematicians who are amazing AI prompters but lack mathematical creativity or "genius". All they produce are mathematical papers with clear proofs and explanations. Very human readable stuff. But the catch is that they are not discovering any of it. All they are doing is "translating" full AI discoveries into a format others can understand.

Is that acceptable?

When I open a general article and it starts with things like:

In a cold autumn in 1967, a barely awake scientist in the now defunct Institute of XYZ thought he'd go through his lab notes as he has done for the past 3 years since leaving the serene setting of the University of...

I immediately close it.

Doesn't sound so bad if rephrased as "AI prevents the release of yet another reality show"

This is actually one of the goals of some retro computing enthusiasts: recovering the source code for old games through AI reverse engineering.

I know it's not the same thing because you lose comments, unused prototypes etc, but I still find it a fascinating use of the technology.

Klingon: SIStah

I'm retired too, but after the opposite journey, one of a successful employee. :) Thanks for the insights!

This is a great life story. I had similar beginnings as a curious child but no PC Magazine Product of the Year! I'm sure you'll find many people here who also started curious and with no friends who cared or had even seen a computer.

Is there an equivalent to that today? As soon as a cool technology appears, there are startups selling something within a few weeks. What is the "weird" kid doing today?

Roku 4K with HDR10 and Dolby Vision is going for $53 on Amazon. A tough sell for Apple, to say the least. I use Roku for Apple TV (the streaming service) and works great.

I guess I don't understand what you're trying to say, especially after your reply.

Here's what I am saying: most top companies require degrees but will only take a degree from a select list of colleges, while government jobs that require degrees will accept a degree from any college.