aatd86

I was making the difference between engineering and development too actually. Building react and using react being an illustration of the difference between an engineer and a dev. It is a spectrum however, that's true.

Computer Science is still useful. It is software development that is made trivial now that software can write software.

I have been coding for several decades and still haven't delved into assembly.

This is how things goes when the employers ask for a list of technologies...

Not their fault.

WASM is super useful for FFI in some env

That is not my claim. And to be fair the claim about fsd wasn't completely wrong. It is still has failure modes but you can't argue that the tech works. Mercedes even had demos. That is still irrelevant to my initial point.

No one claimed that. Besides negativity is a self-fulfilling prediction.

And investing is not accounting...

Not convinced. That is a very static view. You would think that the output of AI will be better AI, better energy sources and that will make AI way cheaper in the long run... It will end up a cheap commodity that is basically free to produce. Over the long run it is absolutely one of the best investments in projections.

I think people who want you on site are lying because commuting and forced promiscuity and the lack of comfort is way worse.

But commercial real estate takes a hit and it is not good for investors. They should lead with this instead...

Yeah but people don't want to pay for software so all open source is basically subsidized.

That was evident. It was designed that way :) Congrats.

I feel like crap when taking creatine... Actually most of these purported supplements are a no go. Preworkouts would work first session then make me ultra tired, caffeine is fine as long as I 'cycle' it...

Wondering strongly if those studies are not just to sell more cheap supplements... As long as for some reason we find that it has some level of effect on most people.

It has some effect for sure but not sure it is that positive... Besides, I don't know if it helped jump start the process or not but I build muscle either way, on little protein, no creatine... Carbs seem to be more important actually.

Anyway, let me take a scoop of creatine to try again, even though I am unconvinced... Hope sells... :s

(I think hydration levels are more important and that is not solved by drinking low mineralized water although I find it has better taste, it gets rid of tiredness)

network effects in action and supply flooding demand.

That's the thing, a programming language is not something static, it evolves. For instance, people are working on adding generic methods for the next release cycles.

And what the article complains about is by design, not a bug. It is a tradeoff made to avoid bloat. In any case, given the future possibilities, I'd bet on Go.

If anything, the language is just slower to evolve because every language change means the tooling needs to catch up. And now llms would have to catch up. ChatGPT is still using Go 1.23 for instance...

We are speaking about incidental complexity vs. essential/inherent complexity. Inherent complexity is dealing with an XML format that is prone to vulnerabilities because people don't know how to parse properly or the protocol was badly spec'd back in the day in the case SAML for instance. Or ill-defined scopes, etc...

Having had the chance to try and implement libraries to interface with those systems a couple times, most people agree that implementations are far from perfect or streamlined. We call this incidental/accidental complexity.

Apparently a mythos loop will mitigate that. /jk

We will see I guess... It could also be an opportunity to audit systems in automated ways.

My point is that people mess up things as basic as salt and pepper, or encryption at rest. People are not even trying...

If we deal with the intricacies of rbac, abac, acl mixed with scopes ,sso, saml, oidc, mfa, etc... I don't find these too conceptually, complex.

I mean, it should be avoidable complexity. Most of the complexity is technical debt, bad implementations etc. But by itself it is not THAT complex.

I wonder if it is not people being notoriously lazy or clueless at an astonishing degree. How often do you hear that password were saved in plaintext? Surprisingly high in this day and age.

People not knowing what salt and pepper is... Vulnerabilities almost as if on purpose...

Perhaps it is actually not THAT hard but just like error handling, people don't want to do the unsexy parts and want to delegate those tasks to someone else perhaps. There must be a behavioral pattern there...

I would have thought it would have tried to multiply the money to do more. Time to let it listen to some 'podcasts' xD

Can the reactive graph even be updated concurrently if the UI depends on it though? Because the UI is likely to run in its own single thread...

There is a moral hazard here. By accepting that APIs are forever, you tend to be more cautious and move toward getting it right the first time. Slower is better... And also faster in the long run, as things compose. Personally, I do believe that there is one best way to do things quite often, but time constraints make people settle.

At least it is my experience building some systems.

Not sure it is always a good calculus to defer the hard thinking to later.

You will probably have time related free credits for AI usage. The more you sell stuff that are in demand and ship fast, the higher price you can command. Otherwise you just get basic income. People will have to be creative. Creativity doesn't scale to machines. Creative decision making has too many branches.

So time based costs for product manufacturing and procurement.

Everyone will barter again in a sense.

Better money circulation. Those who just want entertainment can also do nothing. But entertainment will be a more important field. Already the case with tiktok, everyone is becoming an interntainer(sic) these days.

You have things such as the police olympics so to speak in the UAE... :)

So coaching people, personal improvement, wellness, will be good fields to be in.

erratum: (1,1) rather

There will be more of it where it does not matter. Maybe eventually with times. At the moment, in my experience, most systems rely on hyperlinear semantics. Especially scalable ones. Current llms cannot physically handle this at the moment. Maybe with biological or quantum (sic) computing.

But even then it is quite impressive.

Concretely in my use case, off of a manual base of code, having claude has the planner and code writer and GPT as the reviewer works very well. GPT is somehow better at minutiae and thinking in depth. But claude is a bit smarter and somehow has better coding style.

Before 4.5, GPT was just miles ahead.

Maybe it is a notation issue.

What is a negative number? What is multiplication? What is a complex "number"? Complex are not even orderable. Is complex addition an overloading of the addition operator. Same with multiplication?

What i squared is -1 ? What does -1 even mean? Is the sign, a kind of operator?

The geometric interpretation help. These are transformations. Instead of 1 + i, we could/should write (1,i)

The AI might be clearer: https://gemini.google.com/share/6e00fab74749

A lot of math is not very clear because it is not very well taught. The notations are unclear. For instance, another example is: what is the difference between a matrix and a tensor? But that is another debate for anyone who wants to think about it. The definition found in books is often kind of wrong making a distinction that shouldn't really exist more often than not.

SO(3)*, not SU

What was new was not tensors. It was the representation in SU of mesons for photon-photon collisions. But even saying that is skimming the surface. I can't read beyond the knowledge gap.

Isn't it the mathematics that is lagging? Amplituhedron? Higher dimensional models?

Fun fact: I got to read the thesis of one my uncles who was a young professor back in the 90's. Right when they were discovering bosons. They were already modelling them as tensors back then. And probably multilinear transformations.

Now that I am grown I can understand a little more, I was about 10 years old back then. I had no idea he was studying and teaching the state of the art. xD

Does is overlap with Contributor License Agreement?

Do these administrations still purchase licenses for software or do they just create open source maintained by government employees? How much are they willing to pay? Because people in Europe are notoriously paid less so I am curious of the financial aspect. Also curious about the logistics of ownership and support...

Isn't that measuring the speed of json encoding instead?