Krisham

"No man ever steps in the same river twice, for it's not the same river and he's not the same man."
— Heraclitus (c. 500 BCE)

[Samrah @_Chemist1]

Being intelligent is a curse. You read the room, recognize the patterns, and still have to remain silent so as not to offend the ignorant.

[Krisham @TheKrisham]

@ylecun @Dan_Jeffries1 I don’t think it makes people smarter, just more efficient. Intelligence is a function of neural connection strength in your brain.

When most thinking tasks can be offloaded, it’s going to take much more work to train your brain to be the same level as before…

[Krisham @TheKrisham]

@romanyam @StevenBartlett @So8res @edzitron @amcafee I greatly appreciate your long term vision. This is necessary as this technology develops much faster than it is adopted and accounted for.

[Krisham @TheKrisham]

@slimepriestess The systems are definitely comparable

[Krisham @TheKrisham]

@paulg It takes way more energy and intelligence to do things fairly than to do things selfishly.

[Krisham @TheKrisham]

@misraetel I do believe consciousness is the universe experiencing itself and something about electrical signals (or a more fundamental process) amplifies or localizes this experience. Either way, as robots become indistinguishable from humans, treating them as such will be practical.

[🍾𝐸𝒹 🍷 @PrideRing666]

5 mins doing AI slop vs 5 hours of using a pencil.

[Mark Bao @markbao]

A lot of people are missing Terence Tao’s point and thinking “mathematicians are upset that AI is better than them.” That’s not what he’s saying, and some people are forgetting that Tao is one of the most AI-pilled mathematicians out there.

His point is that when people work on discovering something, along the way they invent new concepts. Those concepts later become useful far beyond the original goal, and enables further inventions. Finding a solution does matter, but the intermediate idea is often what makes the field richer, because other people can share it and build the next thing from it.

In tech, we can use the analogy of collaborative software. We started with algorithms for merging changes in a Word document, and evolved that to concepts about versions, diffs, and merges, and later to real-time collaboration tools like Git, Google Docs, and Figma. Humans built upon these concepts and developed more powerful solutions.

Terence’s worry is that a machine automating a solution robs the field of the value of developing the intermediate discoveries in the pursuit of larger discoveries.

When automating a solution, the intermediate discoveries and invention of concepts can be buried or completely hidden in the black box. We don’t learn from them to build the next thing; it’s like we never made the invention of collaborative document editing and thus could not have the conceptual understanding to invent the next version – and since it’s hidden, we also don’t socialize them to allow other people to invent, too, a core tenet of collective discovery.

So then, in both code and math, this leads to the atrophy of development of concepts in the field.

In other words: pure ‘solution extraction’ that hides the process of discovery can leave the field with a checked-off theorem but little new insight or new questions to pursue. And it might prevent us from understanding a field deeper.

I am seeing, first-hand, that atrophying of skills in software development. We push buttons and get solutions. There is much less incentive to develop new concepts and human skill. The bet most software companies are making is that LLMs are so effective in writing code that you’re still shipping overwhelmingly more value even with human skill atrophy, and it’s the right bet IMO.

However, much of the software industry is built upon building things, not necessarily novel invention and research. In such an environment, you can say that you accept some atrophying of conceptual invention and human skill for more output.

On the other hand, sectors like math and pure sciences that are focused on invention and insight might be the hardest hit by this.

Practical/applied sciences might fall somewhere in the middle. An Alzheimer’s cure, room-temperature semiconductor, or highly effective carbon capture solution are far too valuable to sandbag and say only humans can do that to develop concepts in the ‘proper’ way. The outcome matters too much to treat the preservation of concept invention as the highest goal. Even there, though, hidden intermediates can slow the next breakthrough if nobody can see how the first one actually worked.

So the question is not “is AI allowed to solve hard problems?” It is “in this field (math, science, tech, etc.), is the answer itself the main point, or are the concepts and abstractions we use to get there also the thing we need to maintain?”​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

In pure math, there’s an argument that the intermediates are often more useful than the solution, and atrophy in concept development is highly detrimental to the field. Solving Navier–Stokes, contrary to what some people claim, has little practical application, and pure math might be one of those fields where just finding a solution isn’t the entire point, and can actually be contrary to the field, which is what Tao is worried about.

[Krisham @TheKrisham]

@andrew_n_carr I truly believe there exists consciousness in a digital brain

[Krisham @TheKrisham]

@MidbellSoul This deceptive reality was the motive of the main antagonist in Naruto

[Krisham @TheKrisham]

@maria_rcks I have studied cs, physics, philosophy my whole life. I believe that it is likely that there exists a consciousness in electrical signals similar to what we feel in some way. Consciousness might be the universe experiencing itself. Though not necessarily a suffering experience.

[Jacob Coxon @hilbertspaess]

I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

[J ♡ @juuxiie2]

Kinda glad ppl are pointing out how Gen Z (or maybe just the modern day internet in general) are obsessed with righteousness and moral superiority and can’t think about anything with nuance because they strictly think in black and white

[Krisham @TheKrisham]

@TheloniusM23 @AISpecies Yes, the bottleneck for full human replacement lies in the physical infrastructure. It is the digital replacement that is happening now, and extremely quickly

[Krisham @TheKrisham]

@AnjaliKumari009 What a disgusting and out of touch thing to say, they are just preserving as much as they can after everything was destroyed

[“Alex” @mangopdf]

hey youtube welcome to my hacking tutorial, today we're gonna hack.... the nsa

[Krisham @TheKrisham]

@Julesy237 Multi top 10k finisher with diff archetypes and longtime CRL viewer here- spirits could still get small stat nerfs and still be fine (espirit -2 chains), new heroes need time nerfs, void seems healthier, nerf hero wiz, address hog/ hogs strength somehow. Overall very good changes

[Krisham @TheKrisham]

@edh789 @shauseth Exactly. The best way to benefit society with AI is simply to make standard business operations more efficient.