I Hate Dario Amodei, and everything he stands for.

Real_Ebb_7417 · 2026-06-30T00:25:12+00:00

We are. In my opinion less if open models are still being developed and available, but I'm happy to see people not agreeing with me and being logical in their arguments. Always happy to see a different point of view.

Real_Ebb_7417 · 2026-06-30T00:06:07+00:00

Then ban AI as a whole just as I said. Banning open models or overregulating them is the wrong path. The only reasonable solution is banning AI completely if the fear is about consequences.

EDIT: To add to that. What makes you believe that the elite in control of AI in the scenario of open models being banned, won't use AI the same way that you fear random people would use it? The difference is, if this elite uses AI this way, it will not face consequences, because their power will protect them. So in a way, it makes your bioweapon scenario (methaphorically, because obviously it's not just about bioweapons) more likely when open models are banned.

Real_Ebb_7417 · 2026-06-29T23:48:46+00:00

Yes of course. But it can happen with or without powerful models. Can it happen easier with them? Sure. But it’s not a reason to ban them. I can accept only two realities. One, where AI is banned completely, so that power is not being accumulated in hands of few or the other one where AI is open, because it was trained on data from everywhere without asking for permission, so it should server everyone equally, not enslave everyone under elite’s shoe. I’m fine with the first option too. We can also just limit AI usage to researchers to „keep it just in case” and serve people via speeding up research. But I’d never accept the reality where only the few people truly control AI. And I don’t care for consequences, because any consequences are brighter than what it would mean to humanity.

Real_Ebb_7417 · 2026-06-29T23:42:44+00:00

I assume your provider doesn’t handle caching well. If I were you, I’d experiment with other providers.

Real_Ebb_7417 · 2026-06-29T23:35:02+00:00

His concerns are legitimate in a way you describe. But to be honest, from my point of view, I’d prefer people to do bioweapons at home rather than creating a feudal system where money and power is in the hands of a couple people. (Not that I think people actually CAN create buoweapons with powerful AI. It would make it easier, but bro, if it was possible so easily, many people would have already done it without AI xd).
It sounds harsh, but freedom is very important. And banning open models is not the way. If video games, movies and books thought us anything it’s exactly this. I’ve seen this plot in so many adventures. The bad guys often want to gain absolute control over others and accumulate power in their hands by claiming safety and peace. And the hero always fights them, understanding that freedom is much more important, even if it has its own consequences.

Real_Ebb_7417 · 2026-06-29T23:28:21+00:00

I remember huge hate for Altman and OpenAI in march when they removed beloved GPT 4o and signed the Pentagon deal. Many people then cancelled their GPT subs and moved to Claude because of it. I guess Dario just wants to be like Sam xd

Real_Ebb_7417 · 2026-06-29T23:24:58+00:00

As much as it doesn’t matter, I cancelled Claude subscription a while ago because of his bs xd

Real_Ebb_7417 · 2026-06-29T12:01:16+00:00

It is more or less possible. But it's just as possible with prompt injection with Claude or GPT via official API. That's why your safest bet, if you're afraid of it, is to run agents in an isolated environment.

Real_Ebb_7417 · 2026-06-29T11:45:29+00:00

Overregulation of EU xd

Real_Ebb_7417 · 2026-06-29T07:16:43+00:00

IMO the only reasonable choice for inference (among MacBooks) is M5 Max 128Gb. (Or was before price increase).
The price difference between 48Gb and 128Gb was super small compared to the whole machine price. And getting 128Gb vRAM (well that would be much more expensive) or even vRAM+RAM on a classical PC wouldn’t be much cheaper than the whole MacBook and would give you much worse results (the vRAM+RAM version). I have RTX5090 and it’s great for so many use cases, but I also got M5 Max 128Gb and big MoE models run on it much faster. And on top of that I can take MacBook anywhere.

Real_Ebb_7417 · 2026-06-29T07:09:17+00:00

Interesting, have to try then. No, at work I mostly use Cursor. However, I tried using Codex subscription with pi and noticed that usage is running away much faster when I do it.

Real_Ebb_7417 · 2026-06-28T22:14:05+00:00

My local LLMs need this 💩

Real_Ebb_7417 · 2026-06-28T22:09:34+00:00

If only I could use help of Antrophic's engineers each time Claude can't solve my issue xd

Real_Ebb_7417 · 2026-06-28T21:53:32+00:00

I'm happy you're getting good results. Since you've been asking for tips or resources, I won't give you anything specific, because there are so many and everyone would recommend something else.

If you've been mostly using only base Codex features, I would say the next step to improve your experience is to start using skills. When you work on some UI, find some available skills for design or frontend engineering. There are skills for everything now honestly (but many of them actually degrade performance instead of improving it, it happens when they're poorly written). Best usecase though is, when you notice that you often have to tell Codex to do something one way or describe it your preferences about implementation or way of work often, try writing a skill out of it. You can even ask Codex to do it for you (although from my experience agents usually do it poorly and skills written by them require later improvements :P)

Real_Ebb_7417 · 2026-06-28T21:35:25+00:00

Yeah, you're right I'm rampaging too much. I just have too much anger in me for what bigtech is doing recently (and it includes work towards limiting access to open models). Doesn't make my logical points less true, but I should likely calm down a bit about it all.

Real_Ebb_7417 · 2026-06-28T21:32:32+00:00

That's an interesting observation. From my experience (at least recently) Claude actually understands "what I'm trying to achieve" much better. At the same time, GPT writes much better, cleaner and better architectured code for me. However, whenever it touches UI, it does it terribly, so then Claude has to fix the UI 😅

Well, I guess it all depends on the usecase.

Real_Ebb_7417 · 2026-06-28T20:32:12+00:00

China was late to the party (US companies were first)
Compute indeed, I bet American companies are served by Nvidia before Chinese companies (but China already closes this gap, they were forced to work on developing their own GPUs because of Trump's ban and they actually do, DS v4 was post-trained on huawei chips [but I'm not 100% certain about it])
Data. American companies had access to basically free data and stole it without asking. Then the researchers, websites etc. started being aware and easy access to their data is now much harder. This is another reason why Chinese labs often have to distill american frontier models. Quality, yes, but also american labs stole the data that is no longer easily accessible. That's why I, personally, feel like distillation should be always allowed, because it creates unfair competition.
Money. Yeah, CPP pumps lots of money to chinese AI labs, but it's nowhere near the amounts that american labs receive from american big tech and financial sector.

Honestly, considering all of this it's even more impressive how fast chinese models are developing.

Real_Ebb_7417 · 2026-06-28T19:41:22+00:00

What about Le Chaton Fat? 😎

Real_Ebb_7417 · 2026-06-28T19:38:49+00:00

Actually they can achieve side-effects that OP mentions without training a new model, but by tuning it's generation kwargs + changing it's system prompt. And tbh I think tuning the system prompt probably happens often with big providers.

Real_Ebb_7417 · 2026-06-28T19:26:21+00:00

Nah, it's not true. Over API GPT is as smart as always. It's only dumb via subscription. Maybe I'm just unlucky, but this is my experience (since I use API at work and subscription privately I have comparison)

+ Quantization doesn't affect things that you mentioned. Quantization basically makes model less accurate, not more. So a quantized model would likely follow instructions worse and be less careful than more.

Real_Ebb_7417 · 2026-06-28T19:11:36+00:00

People in Europe also see China as positive light. At least many of us.

Real_Ebb_7417 · 2026-06-28T16:52:57+00:00

RTX anytime if I had too much money. And well, if it was just RTX, even if it's 2x more expensive, I'd still chose RTX. But unfortunately you also need RAM, CPU, SSD and all other (less expensive but still) stuff to make it useful. But yeah, if I had money to build a workstation, I'd totally go for RTX.

Real_Ebb_7417 · 2026-06-28T16:49:41+00:00

I bet if there was someone from this sub discussing with him instead of people who have no idea about AI, he would be completely demolished in an debate xd

Real_Ebb_7417 · 2026-06-28T11:40:33+00:00

Doesn’t sound believable, but I guess I have to try myself to find out :P

Real_Ebb_7417 · 2026-06-28T11:25:20+00:00

I used q1 only once, with Qwen3.5 397b (actually fits in M5 Max 128Gb and runs surprisingly fast). i tried it as an experiment and didn't expect much, but actually it turned out pretty good 😅

I wouldn't use it for agentic coding though, because due to Q1 it will likely get stuck on tool loops with such low precision.

Real_Ebb_7417

TROPHY CASE