tails4e

I see this as worse for junior engineers than senior. Right now junior engineers don't have the experience to spot issues, ans if gpt-synopsys gives an answer they don't know to question it. It Will also be better than many junior engineers out of the box.. So junior engineers dont get a chance to learn and progress to senior. Senior engineers (for now) will interact with these agents and review the output, ans can direct them. Again, until it becomes better at that.

Interesting times. A lot has happened in a year..where will we be a year from now?

I think this is very cool. AI generated or not, its well done, interactive and has great visuals.

Amd less than 2 legs.

If even one person has 1 leg, then the average is strictly less than 2.

Yes, I work in hardware design ans the cost to code up the RTL for an idea and compare it to the existing code in terms of PPA, its very expensive in terms of engineering time. This week I had 5 different architecites coded, pushed through a functional test bench, bit accurate models created and then run through ppa analysis all done via llms. So its a task tbis project could not afford to do without llms, but can save us 10% in ppa

This is true, but a lot of the top positions are being replaced with unqualified loyalists. It's only a matter of time, if this continues, that the competent workforce gets eroded

How does this compare to CORDIC for sin/cos generation? Which is more accurate, etc ?

My code wasn't written to be hard to decipher, and it wasn't a goal to get everything on one line by any stretch, I just didn't like an if with regext was 2 lines minimum in python, it felt inelegant for a language that is pretty elegant in general

I liked perl, it was the first language I used daily as a HW engineer. When I moved to python more recently what I missed the most was how easy it was to do a one liner if with regex capturing. That couldn't be done in python for a long time. I think the walrus operator helps, but it's still not quite as concise, but it's closer

I heard last year the potential future of gaming is not rendering but fully AI generated frames. 3 seconds per 'frame' now, it's not hard to believe it could do 60fps in a few short years. It makes it seem more likely such a game could exist. I'm not sure I like the idea, but it seems like it could happen

Why not follow decompilation like ghidra does, rather than guess, compile, compare? It seems more sensible to actually decompile.

I didn't understand the background before the explanation, but afterwards I did. Inl walked me through the mathematical steps and each was logical and ok to follow if you have a basic calculus knowledge.

It was. I asked it to give more details on parts of the derivation I didn't quite follow and it did that. Overall it was able to build from the ground up to the solution and solve it both numerically and analytically (for smaller values of x)

I just had chatgpt explain that problem to me (I was unfamiliar with the mathematical background). It showed how to solve closed form answers for H(2) and H(3) and then numerical solutions using RK4 for higher values. Truly impressive, and it explained the derivations beautifully. There are few maths experts I've encountered who could have hand-held me through it as good.

Exactly. The solutions can be as simple as this. Israel has the power to fix this, they choose to do the opposite

This makes sense, but what does not make sense is who tested this 'ultimate mode', I mean they went to the trouble of adding a physical hardware switch on the motherboard for this, surely when testing there was some kind of benchmark or comparison to show this feature was an advantage. Maybe they don't test, or they have 'internal firmware' that is not what the user gets, but it's a serious fail either way.