Noonien Soong

One reason to be mad at Trump and his whole administration is that they didn´t give a fuck about potentially losing everything in a seismic shift.. and that they essentially have zero interest in what this means now for us. The hell that opens up again for us... With us, I mean the whole of the world and not just the U.S... Having sociopaths again controlling communication, fighting AI, having toalitarianism and communism creeping into everything, getting into the same gridlock of backwardness, hostility towards tech, and scuicidal spirale into which Europe went... You will now start seeing all these sociopaths creeping out of their holes again. You cannot even call them leftists or liberals anymore. They are just sociopaths and psychopaths. Many of them are on psych medication. Most of them hate themselves. They hate the future. They hate success. They hate merit. They love control. This is why I am so mad about Trump, because he really threw it away, essentially. He didn't give a shit. There were enough people who warned him. He just didn't care. His buddies and him were all occupied to make the most out of the grab in the past two years, but it's honestly astounding that none of them thought about: "Okay, what could actually happen if we lose... Congress and the Senate?" I think Trump will not even pardon many of the people around him... like Biden did. He will throw them under the bus. He will make deals for himself and his family. I'm also wondering where now a lot of the smart money and also innovative technologies will go, because I don't think that AI can remain competitive in the U.S. if this goes down like it seems that it will go down. Will Elon Musk, at least in the short term, try to put up a fight and stand and not give up the United States? The Socialists' perspective does not differ much from the EU perspective on AI and technology. Their neo-fascist socialist attitude, is essentially a death sentence for innovation. Even if the Republicans would win the presidential election in 2028, do we all really think that they will win back the Senate and House... based on what? Dark times ahead. Perhaps it's time to actually move to Russia or China. China has definitively the better communism. They are at least not hostile to technology. And free speech control will be soon back in the U.S. and Europe. China lives, meanwhile, a capitalistic, tech friendly, futuristic interpretation of communism. The European and the American communists think and will act more like Stalinists.

Yes, ASI is so fucking close. Can you feel it already?

It’s absolutely crazy to see how influential it was that Elon Musk bought twitter. All the tyrannical coups that the EU executed and executes in European countries would have gained much less traction and less people would be aware about what is going on. I think that Elon Musk might single-handedly free Europe from the EU. Bulgaria is a clear indication that people don’t want to join the EU anymore. Poland now makes it also very clear that they are not willing to hand their currency and their gold to the ECB. Without independent reporting about the truth of the tyranny much less people would be aware and the big gold heist in Poland might have gone through. The Polish people have it now in their hands to manifest the beginning of the end of the EU tyranny.

Polish patriots have it now in their hands to bring down the tyrannical EU regime. I hope they know that they have to fight and that they are not fighting just for themselves. It was clear that the EU would implode sooner or later after destroying the future of its member states by forcing absurd policies on them. The sociopathic self-destructive German delusionalists helped with this mission. Poland can now exterminate the cancer. Will the free people of Poland be successful?

What the actual fill in the blank?

Honestly, Gemini Argon felt like a heaven‑sent boost just as I was taking one project online and finishing another at light speed. It runs about ten times faster than GLM 5.3 and five times faster than the Anthropic models I used a few weeks ago. Argon is so intelligent. When I provide the workflow framework I built, it produces no hallucinations and is incredibly reliable, essentially coding on autopilot. I’m absolutely blown away. You do need to increase the context window and patch it. How uncoordinated the Google product teams seem. Google DeepMind publishes probably the strongest model available, but the Antigravity team doesn’t appear to coordinate with DeepMind and limits the model with a ridiculous 240,000‑token context window, which makes it unusable for serious work. But what’s even more mind‑blowing is that when I tested Gemini Argon last week I was on the Ultra 100 plan. After a day and a half of work, my weekly quota dropped to 16 %. I realized I had no chance of finishing my project with the remaining quota, so I upgraded to Ultra 200. Since then, I’ve used only about 50% of my weekly quota. In the past two days I added even more projects in parallel, working with external implementers and senior advisors on three projects simultaneously. I ran three to five sessions continuously. Gemini 4 Argon on “high”, handled every token, including those for sub‑agents. Today I told my son to move his agent pipelines and fine‑tune them in Antigravity and stop using other IDEs. He has been working on this since this afternoon, and I’m still at only 50 % of my weekly quota. Some users might be able to exploit the huge quota, but I haven’t been able to; I’m using a heavy, context‑intensive workflow and still couldn´t drain it. I don’t know Google’s strategy, nor whether the Antigravity team is involved. The quota difference between Ultra 100 and Ultra 200 is not merely four times greater; it feels about twenty times larger. The Ultra 200 quota feels like four Anthropic $200 max plans. Best buy for quite some time

Exactly my experience, and it's not even close. It's far ahead of Opus 5.5.

I think I might order one of these. Need to do some research on how far I could play with its software.

The quota difference between the Gemini $99 Ultra subscription and the $199 version is absurd. I don't understand why Google is doing this, but the Pro subscription is essentially useless, and the Ultra version for $100 offers so much less quota. I really can't wrap my mind around that. They should at least tell the users it. Because, as far as I can see, they are not quantifying the actual quota differences specifically for Antigravity. I had two senior advisors, five implementers work on the codebase, and one QA agent using my entire platform for many hours to collect UX and UI issues. It started yesterday evening, after I upgraded to the $200 package, a decision that proved far superior. The $100 subscription would have exhausted its quota after just 1.5 days of the same work intensity, leaving me at only 16 % of the weekly quota. After upgrading, the agents worked all night in Argon on high, continued today, and ran an extensive QA session that simulated real users on my live production platform, creating accounts, receiving emails, and starting from scratch. I wrote a skill and a prompt for that QA agent, and I’m blown away by how well it works. It’s the first time I’ve had such an effective QA agent. The same prompt failed on the AutoClaw platform of GLM (which mimics Grok) and on AntiGravity with the Flash model (Flash 3.8 on high). In contrast, Argon completed a two‑hour perfect human‑QA simulation. I’m about to write a loop that integrates this process into my Constellation senior advisor/implementer, then runs a human QA tester. So far, only 8 % of the weekly quota has been used, and no cheaper model was involved. When I call sub‑agents, I force them to run Argon on high. In my view, the $200 Geminu Ultra plan is the best deal for coding. It outperforms Anthropic and OpenAI, offering the most reliable and capable coding model available. This level of autonomous testing matches what I’ve only seen from OpenAI’s Codex. It might also be due to the workflow harness that I'm using, the extensive agents.md file, and the local project memory that my agents.md instructions automatically create and update after every action. I saw yesterday someone publishing tips on working with Argon, and I saw there that it was specifically said that Argon loves instructions and also loves the task to test its work and to get detailed test descriptions. This would make it essentially the absolute opposite of the showboat models of OpenAI and Anthropic. My workflow harness combined with Argon might be a match in heaven. I can't quantify how many magnitudes better than anything that I've experienced since I started using AI for coding. I’m considering packaging all of this and putting it online, if I find the time.

I'm really wondering why I see so many people complain about the Gemini 4 Argon quota. Testing it, obviously, it seems that, in a Pro account, the discrepancy in quota between Pro and the two Ultra account subscriptions seems to be huge. I'm a long-lasting Gemini user. I was, until a few months ago, on the $200 plan because I was using Opus 4.6 back then until the quota was extremely limited, and Gemini 2.5 was not a very good model for coding. That's why I reduced my plan, but I'm using many other Google applications that are in the Gemini bundle, so I stayed with them on the Ultra subscription for $99. The Ultra plan is a pretty nice package, specifically if you like to have a bit more cloud storage, but also YouTube Pro and things like that. Now, after testing Argon for3 days, I worked intensively with it. It's the third day in full, with several sessions, and my weekly quota was down to 16%. Now, a few hours ago, I upgraded to the $200 subscription, and looking at how slowly the weekly quota and the 5-hour quota are draining, I would say this is definitely more quota on the $200 plan than you would get for an Anthropic Max plan. I'm absolutely positive that this is a much better deal because it's also a much more reliable model, specifically when you have projects where you don't want to break something while you implement something new (like it will happen with the other so-called frontier models). I didn't have time until now to go into creative discussions with it to see how strong it is as a thinking partner, but as a coding agent and senior software engineer, it's really stunning.

It was clear that this would start sooner or later. They will ban all the Chinese models to protect the business model of Anthropic and OpenAI.

Kudos to the @GoogleDeepMind team. Gemini 4 Argon is a hell of a model. It's incredible. For quite a while, it's been the first model where I have the feeling that, even with strictly regulated QA and auto testing involving professional implementations harnessed by strict workflow instructions via agents.md, it's a model that I can blindly rely on. It came just in the right time because, I was in the finishing phase, polishing and doing large-scale quality and security testing of a project that I worked on for more than a year. After the experience of the past two days, I will definitely upgrade my second-class ultra account again to the first-class ultra account because I will need the weekly quota. That's the only model that I'm willing to fully trust right now! It's really a huge relief for myself because, even with Anthropic models and GLM, I literally read almost every reasoning line of the output, because sometimes I read really freakish things. I often had to interrupt the models in actions that would have been, not always catastrophic, but definitely regressive. After working 3 days and getting stuff done that would have needed 10 days in GLM 5.3, or a week with Anthropic models, I can really relax, sit back, and watch Gemini 4 Argon do the stuff really quickly and reliably. It's an absolute blast to work with this model. I would not trust the Gemini Flash model for this type of work. Definitely not, but Argon is in another class. Google really delivered with it. I don't care what some one-shot wipe coding 3D gimmicks might look like in Argon compared to Opus 5.5. I worked with all of these models, and I know whch one to pick for relaible coding. Nothing comes close to Argon for serious engineering work. It's not even close. I am not comparing model intelligence. I'm comparing reliability. To me, the ability and also willingness of the model to tightly follow a proven workflow framework is the most important aspect of reliability. Exactly this is where the Anthropic models started to fail big time. Anthropic tried to whitewash this by saying, "Hey, you need to adapt your agents.md files and use different prompts," but I call BS and think there is a deeper structural flaw in their RL process (and also in them polishing their models for more spectacular vibe coding and one-shotting of things). I'm so glad that Google did not do this. GLM 5.3 is better at following instructions than the Anthropic models, but due to the shallower depth and intelligence that it has, you cannot compare it to Argon. Right now, I also have to revoke my recommendation from the GLM Coding Max plan, definitely in favor of the Ultra plan of Google, because if you really want structured, fast, reliable, professional code engineering, Gemini 4 Argon is the way. BUT.... None of the things that I did in the past 3 days, I could have done so successfully with a lobotomizing context cap that Antigravity has on the Google models: 230 thousand tokens. Did the Antigravity team forget this limitation from previous models? Or are you out of your minds and this is intentional? I patched it to 980,000 tokens, and Argon is by far the best senior engineer that I have worked with, let's say, for 2 years or so, but only without the context cap. If you are not aware of it, fix it. I mean, not for me. I solved the issue, and if any Antigravity user wants, I can have Gemini write the recipe for how you can patch it.

Google, respectively, the Antigravity team, thinks it is a great idea to not even inform you about the fact that they are lobotomizing and capping their models in Antigravity. You get only an effective context window of 200,000 to 230,000 tokens although their models have more than a 1 million-token context window. It's absolutely hilarious. I could not believe it, but I definitely verified it, and I also hacked it meanwhile.

After several months of testing Anthropic's Claude until they started fucking it up with Opus 5 and Fable 5.1, I went back to GLM 5.3 in Z code. Today, I thought it was the right time to test Gemini 4 Argon in Antigravity because I'm finalizing a big project that I was working on for 12 months. It turns out the model is really capable. I didn't expect that. It really loves detailed work. It has essentially the intellectual breadth of the Anthropic and OpenAI models, so it's superior to GLM 5.3, clearly. This is a huge difference: it did not lose the ability to actually follow a tight workflow harness. For someone like me who has developed a workflow harness that helped him develop larger projects over up to 16 months, with massively growing codebases, the only thing that kept my sanity and kept the projects afloat was essentially a tight workflow framework and specific standards, procedure, and protocol. Beginning with Opus 5 and also Fable 5.1, Anthropic and OpenAI models totally lost the ability or the willingness to actually follow workflow instructions, so they got very sloppy. They became great vibe coders and one-shotters, but they became horrible senior engineers who work reliably in a bigger, established codebase that needs targeted changes or changes based on absolute quality control. No implementation without sufficient QA. Now it turns out that Gemini 4 Argon seems to be the best of both worlds. It's definitely more capable than GLM 5.3. It has a huge depth. It has the intelligence, and what made me really happy is that it actually really follows workflow instructions and process. Right now, to me, this is the ideal model for what I'm doing, and I really couldn't believe it when I saw this. Antigravity, are you actually really serious in lobotomizing your best model in your own IDE to a 230,000-token context window? I mean, are you fucking kidding me? Do you live in 2024? Is this intentional? Is this due to limited compute, or did you just forget to upgrade this in your IDE? You run huge promotions that your model has a maximum output of 1 million tokens. What the fuck? Who the fuck needs 1 million-token output? You are advertising a 1 million context window, and then you are fucking lobotomizing your model at a quarter of the context window. Are you fucking serious? Fortunately, I could immediately hack it and patch it, and now I have the full million context window when I work with Gemini 4 Argon. Why the fuck would you do that? Are you stupid? Yeah, I almost forgot you had another clamp on it. When it comes to loading agents.md files into the system prompt, this was also capped to 24 KB. I mean, are you fucking kidding me? Anyone who works with Antigravity and wants the patch, just comment. I will publish it here. Won't work with Opus 5.5, though, because this goes over Vertex. The patch only works with the Google models. Opus 5.5 is even more limited than Gemini 4 Argon .

Just for the record, this is also France, when young farmers dared to protest.

As if France weren't already on the brink of financial collapse, the cancer of Islamomsrxism has now also raised its ugly head. Europe is done. Why does the leadership show this extreme devout cuck attitude? Do they want France to implode?

This will be a fun time to be alive, when all the people who built stacks for 60k to run some quantized, shitty, lobotomized model finally realize that their stacks are worth one-tenth of what they paid. I stopped my ambitions to purchase a capable stack for at home when I saw that China started to solve the chip issue for itself. Because China cannot do small volumes.