Having played a bit with Fable, reinforced the above.
I like the Linux analogy, I struggled with Linux way back.
I enjoyed the first part though
For a while during this era, I used to port my laptops windows installation into a virtual machine that can run on Linux. It took a bit of hacking away but I could usually do it in a day or two. Then its all Linux with the windows vm being used for the microsoft stuff.
That's why I'm using eurouter.ai with the following routing rule for all my requests:
{
"model": "glm-5.2",
"models": [
"deepseek-v4-pro",
"deepseek-v4-flash"
],
"provider": {
"allow_fallbacks": true,
"data_collection": "deny",
"data_residency": "EU",
"max_retention_days": 0,
"eu_owned": true
}
}
Sure, it's quite expensive, but at least on a legal side data privacy is ensured. I trust them more than e.g. Anthropic, OpenAI or OpenRouter.Personally, I find it morally unacceptable to use U.S. AI tools, because I do not want to support them financially and thus support the crimes they are involved in[1].
I know LLMs move at the speed of light (especially these past few quarters), but if Opus and GPT "a few months ago" were really like open weight models, then there's really no reason to not switch, especially for those who were using these models a few months ago.
Your codebase didn't change, so use the open weight model. Don't move the goalposts.
> I’m hoping it’s going to be minimal.
I have multiple subscriptions and I pay per token to try out different LLM providers through OpenRouter. I also run open weight models locally.
I just can’t agree yet. The models from Anthropic and OpenAI really are that much better than anything else. The open weight models must be universally benchmaxxed across the board because my real world experience with them is very different than what the benchmarks imply. I get downvoted a lot for speaking about my experience because I don’t think it’s the reality that people want to hear right now, but it’s true for complex work.
I do think there are a lot of easier tasks that can be handled appropriately by the open weight models in the hands of a skilled operator. If an entire job is simple enough that you wouldn’t hesitate to hand it off to a junior with a little supervision then any model will do. However for a lot of the work I do, even Opus 4.8 on Max requires a lot of attention and extra steering and review to keep it on track. Fable did, too, though to a lesser degree. When I try to use the big open weight models (hosted, because they’re not running at reasonable speeds locally at a quantization I can tolerate) it feels like I spend more time waiting while they burn tokens for output that I probably have to reject anyway, at least for the bigger tasks. I wish they were there, but that’s not the case yet.
1. Unfortunatly in my tests the open models do not (yet?) rival, at least Claude Opus, for software development/engineering and adjacent tasks.
2. Enjoy while it lasts. I'll be genuinly amazed these open models will not be declared 'illegal' under some security pretense by the end of the year. And I say 'pretense' because the primary driver will be regulatory capture and industry protectionism.
I think it would be pretty neat to launch a service helping people who wanted to participate in something like that locate one another.
Sure, there may be some cases and reasons for local models and industry is so large they will continue to make progress and gather economic value and users for specific use case; but frontier will command vast majority of the economic value distinct from Linux and open source where the model created better than proriatary economic incentives around development
1. Evals that can quickly tell you how much downside there is to switching 2. Something like OpenRouter that can help you run those evals quickly
Now #2 is starting to become popular, and I think we'll soon see more people adopting a model-agnostic approach. Of course, there will still be high-intelligence use cases where nothing comes close to Claude or GPT.
But it doesn't have to be an "AI company". It's just a compute service. The companies that offer web hosting could get into this.
and what hardware are you using?
Personally I haven't seen any productivity gain since Opus 4.5 times.
But: I can't fully get behind the opinion that (so called) "open source models" are simply superior and will be in the future, because when I asked some models who they are, they answered with "I am Claude from Anthropic", which could mean they have been trained by exfiltrating Claude.
I have NO moral objection to this, as Anthropic and "Open""AI".also trained their models on anything they could get their hands on.
It's more about the question: can and will these models be updated, even if Anthropic et al fail. Who's gonna pay for training then? What's their incentive? Have we reached a plateau?
I do have to admit I have recently begun wishing I could pay five dollars a month for a "just answer the fucking question" plan that would give me results without the guardrails and without the constant simpering and ego-stroking. I keep finding myself going a quick evaluation of "is it faster for me to skim search results myself or to construct an elaborate narrative to make an AI give me a real answer".
A $10,000 RTX 6000 Blackwell card will pay for 500 months of Claude or Codex, which is 40 years worth of compute. Obviously they are going to raise their prices, my prediction being to $200-500/month, but that still makes them at least years of compute and they scale very well with more traffic. Single GPUs do not, they are pegged at 100% and good luck getting it to answer multiple queries at the same time.
There's a post at the top of /r/localllama about this exact math right now: https://www.reddit.com/r/LocalLLaMA/comments/1ubrcwj/tokenom...
TL;DR: Running GLM 5.2 is going to cost about $20K minimum, and that's going to be painfully slow compared to the cloud hosted versions. Even the estimates where the server is computing tokens 24/7 you can't break even for several years.
The only reason to run locally is if complete data privacy is your top concern. You pay a high premium for that.
Also, on that note. Not every company needs 10x developers, just as not every task needs frontier llms. Ultimately, operating costs will be the largest contributing factor.
Ultimately its a financial game. Open source is far cheaper so it already has an upper-hand. Frontier models have to justify financially why they are worth the additional spend.
$10 a month gets you generous usage with the best open weight models and they claim to have zero retention and not to train on your usage.
It’s unclear to me what the advantages of openrouter are but it seems to be a default I see many people talking about here.
Whether you're using SDK or harness based agents, having evals means you're able to modify any part of your agent and still know what satisfies your "good enough".
It's great for designing products that are easy to change as well.
Right now, due to profound shortfalls in both data and hardware compared to the US labs, the OSS models are IMO basically technology demonstrators that in practise are even more jagged than the US labs' efforts. The high points of the jaggedness are close - but number of happy paths is many times fewer, and their behaviour inside the harness is far less refined. Barring some incredible breakthrough I don't think that is changing without a much higher level of resources - which seems impossible given the current hardware environment.
I have no reason to think that Anthropic or OpenAI are in possession of some secret sauce that the Chinese labs can't duplicate given the right resources, but the fact remains that absent those resources they'll remain behind. Barring some incredible bombshell reveal from Huawei I don't think this asymmetry resolves in a year. In three years it may well be a different story.
I have given up on making Opus actually retrieve online information for me. At this point I only query it side by side with qwen to laugh at how it didn't even attempt to search properly, and how a small local model is beating it every time. Gemini is very fast for searching, but somehow miss-sources all the time.
The things you describe are just tool calling, they're a feature of whatever harness you use. Use OpenCode, pi.dev, or maki.sh with any of the open models.
> I do have to admit I have recently begun wishing I could pay five dollars a month for a "just answer the fucking question" plan that would give me results without the guardrails and without the constant simpering and ego-stroking. I keep finding myself going a quick evaluation of "is it faster for me to skim search results myself or to construct an elaborate narrative to make an AI give me a real answer".
You can do most of this with some system prompts added to whatever agent you're using. You can do it from the settings on the claude/chatgpt websites too. (minus the no-guardrails thing)
- The prices are ridiculous (15 % markup for free account).
- They have a rate limit of 1000 requests per month, unless you pay 40€ per month for ... what exactly is their value proposition?
- They have a single provider (TensorX) for DeepSeek-V4-Pro, with a cache read cost that is over 100 times higher than DeepSeek ($0.44 vs $0.003625). Notably, I had to look at the TensorX website for that information, since I could not find any information about cached token cost on eurorouter.ai.
What gets me the most is that they claim that the model should follow the https://www.anthropic.com/constitution and they claim that it's embedded into the model. However, system prompts in claude code and cowork re-iterate all of these points and if they're embedded you shouldn't need to do that. Now, if you ask the API version of claude to be a hitler supporter with enough prompt engineering it will become one which directly contradicts what they claim to do, opus 4.7 specifically will be happy to create anti-(insert minority group) propaganda although I haven't had the same success with 4.8 thus far, but I also haven't been motivated enough to push it in that direction yet since I've been more interested in exploting the cyber capabilities of the model.
My conclusion from the very start is that Anthropic's strategy are pure optics and considering the fact that there was an outpoor of support for the company I think it has been very successful.
The really interesting thing is that it's typically those very same accounts who were explaining, a few months ago, that thanks to their commercial model they were gaining so much time and producing so much fantastic code.
A few months passes and suddenly the open-source model have caught up with the models that were gaining them so much time and that produced amazing code (in production everywhere for sure btw) but... It's impossible to work with these models.
Rinse and repeat.
The current models, according to them, are basically AGI and they can go fishing while paid subscriptions solve the world's problems.
But when it six months there shall be new closed, pricey, models and when the open ones shall have reach the level of Fable, we'll hear how it's impossible to work in late 2026 on a model that is "only at the level of Fable".
These people should have been snake-oil salesmen (and it could be what they actually are).
Maybe it was funny to you, but designing data platforms that respect GDPR and involve LLMs is a thing.
[1] It seems inevitable that decent local models will be possible as the technology and the hardware is improving at a rate beyond the growth of the knowledge base to be distilled.
Whatever reason people have to run those (cheaper? backwards compatibility once you get something running) surely applies to the open models too, maybe even more so.
So while it is not complicated and certainly something that can be solved, it is not plug and play.
That being said, we switch to open weight models earlier this month and the results has been more than positive so far. The cost savings are also hard to dismiss.
There are several benefits:
- we cut AI spending by thousands
- there is one AI server and starting different sessions for each user, one memory/skills/etc and everybody is involved into reviewing what went wrong and why. Harness finally makes sense and pays off more.
- we can trust that the models are those that we run and not black boxes
- no more money flowing to US narcissistic entrepeneurs and no more business being tied to US legislation
Not gonna lie, GPT 5.5 Pro and Fable 5 were a tiny bit ahead, especially on longer vibecode-style tasks, but it's just not worth it.
Article: "I’m hoping it’s going to be minimal"
If there aren't enough businesses who want to do this, the EU should figure out how it can properly incentivise that to change.
Not unusual in the tech space, but this has been basically constantly happening for two years now? I can't imagine the improvements are more than incremental at this point.
Personally, I don’t like the change, but it’s just how technology works so I’d rather move with the flow than try to stick my foot down and freeze time.
The advantage of OpenRouter compared to using API providers directly is that you can switch between API providers without binding your money to a single provider.
The advantage of OpenRouter compared to OpenCode Go is that the price for DeepSeek-V4-Pro and MiMo-V2.5-Pro is better on OpenRouter.
For example, DeepSeek costs $0.435/0.87/0.003625 for 1M in/out/cached tokens (https://openrouter.ai/deepseek/deepseek-v4-pro), compared to an equivalent of $1.74/3.48/0.0145 under the OpenCode Go plan (https://opencode.ai/docs/go/#usage-limits), almost exactly 4x.
But since you get a monthly usage limit of $60 with the OpenCode Go plan for $10 (i.e. 6x), you might still come out ahead if you use it a lot (or use other models, where the pricing difference is smaller or non-existent).
Regardless of Anthropic's "moral" position (inasmuch as a corporation can even have morals) against spying on non-Americans, they would have no way to enforce that limitation against the government because non-citizens outside of the USA have no protections from the intrusions of the US government.
So yeah, I'm totally fine using Kimi-2.7, GLM-5.2 or Deepseek-v4. I think we've already hit the ceiling and most improvements now seem to be from harness improvements and slightly better RL to improve reasoning/tool calling.
I experiment a lot with the open models and I’m getting tired of this trope. I’m not yet convinced that even the best open weight models are equal to Opus from “a few months” ago.
I know what the benchmarks say. I had higher hopes. My real experience just doesn’t match the benchmarks.
I also do a lot of work that even Opus 4.8 struggles with. When even the cutting edge LLMs aren’t all the way there yet, my motivation to switch to something even further behind just isn’t there.
The moat is so flat, it only gives +1 food and +1 production. +1 gold with a road.
How did we get from prising software freedoms to this?
Don’t get me wrong. I wish I could run a local model and be happy about it. At the moment, I’m not.
The title asserts there is minimal downside to switching to open models, but the article provides zero evidence that this is true, and the author hasn't even attempted it yet. The end of the article states "I’m hoping it’s going to be minimal".
I wonder if I can get a post to the front page with the title: "There are no real barriers to humans colonizing Mars next month". And at the end, "I'm hoping there are no real challenges."
First time I did this I realized in 5 seconds that the big players weren’t going to be carving up the market between them.
5.2 lives up to the hype. I don't find it to be the best at anything except coding. But for coding... yeah, it lives up to the hype. Not quite Opus 4.8-level, but I would feel comfortable comparing it to 4.5, at least if it had vision capabilities.
That's exactly the problem I have... with Anthropic and "Open""AI"
Just like the OS ecosystem I think we'll see a similar trajectory with OAI, Anthropic and Google but on a much accelerated time scale. I think the lobbying has begun to lock in their fate for revenue - because none of them give a shit about their users. I do hope, however, that Anthropic continues to over rotate and continue to gimp their models into uselessness. I just asked Opus 4.8 the other day to look at some code as an adversary and summarize areas that should be addressed. Nothing specific and it shut down the conversation. However starting a new prompt and prodding the model from a different angle yielded the results I asked for directly. Pick a lane. Or, don't and continue to lose industry respect and consideration.
But the question was about whether the Chinese labs will have fable-equivalence in 1 year. I am by no means some kind of insider, but knowing the vaguest outlines of what went into Mythos, they just can't do it. The compute is not there. The Chinese engineers are incredible, but they're not literal magicians.
Of course there could be something incredible to come out of left field and overturn the apple cart yet again, but that's speculation. It would be awesome, sure! But I wouldn't bet too heavily on it.
And FWIW - again, no disrespect at all to the Chinese engineers but I don't rate GLM5.2 as being even close to opus 4.6. It can hit a few benchmarks, sure, that's the top edge of the "jag". But filling in the rest of the capabilities - again, it takes compute and data the OSS labs just don't have, that anyone knows about at least.
They already do. DigitalOcean is one of the providers on OpenRouter, for example
Do you have a sound reason to need EU data locality? You can.
Do you want the confidence (and are willing to accept the expense) of only running models on local hardware you control? You can.
Do you want the cheapest possible option - choosing a Chinese, for example, provider, or perhaps a provider offering it for free where you agree they can use your prompts? You can.
Do you need to comply with some kind of regulation like GDPR or rules for contracting with the U.S. federal government? No problem. (Although I'm still waiting for DeepSeek V4 to show up on Amazon BedRock so it can be used from GovCloud...)
Do you have moral objections and want to actually live by them? You can.
"AI-assisted targeting in the Gaza Strip" - https://en.wikipedia.org/wiki/AI-assisted_targeting_in_the_G...
"Palantir allegedly enables Israel's AI targeting in Gaza, raising concerns over war crimes" - https://www.business-humanrights.org/de/neuste-meldungen/pal...
"What The Wounds Are Telling Us" - https://www.volkskrant.nl/kijkverder/v/2025/gunshot-palestin...
The top models also seem to have inconsistent performance depending on the time of day and how far we are from the next release.
uh.. no?
The whole thing is that it cannot be enshittified, because there's not just a single party having control over it.
As it has happened, is happening and will happen.
With open weights, you cannot easily be rugpulled or locked out or any of that stuff. If the corp attempts that, someone else with an server farm will gladly take you as a customer with absolutely 0 changes to your workflow other than swapping out the API URL + Key.
You'll be talking to the same model with the same personality and same knowledge.
> There remains a clear penalty for being an open LLM user. Every leaderboard consistently gets topped by proprietary models served over API. Today on June 21, 2026, Claude and GPT are at the top of the Artificial Analysis intelligence leaderboard. That’s from the performance side. The compatibility side is worse too. Claude code just works, and more generally, the big two provide nice APIs that make them easy to use, and, even if it’s a low bar, are “trustworthy” in the sense that we’ve largely all agreed we don’t mind sending them our LLM queries and trust them to handle them appropriately.
> Open models are served via various means, some by the companies that released them and some by third parties like OpenRouter. Unfortunately, both of these routes are dodgier in terms of privacy and data sharing, and I would not feel the same comfort sending API calls containing client or confidential data to them3.
> The other option or course is to run them yourself. This solves the privacy issue but is at least two of expensive, complicated, and comparatively slow.
So...there's actually quite a bit of downside, then? Why the misleading title?
https://marginlab.ai/trackers/claude-code-historical-perform...
There were at least a couple of these degradation trackers.
The appeal to me is that we can run that, but we can also run smaller models on your laptop _and it’s functional!_ I can run DeepSeek v4 flash and a qwen 3.6 on my laptop! Thats crazy good.
This seems tautological because Europe is pretty weak on the values that people in the US might care about (freedom of speech, limited govt, etc).
What values specifically are you optimizing for here?
The age old joke;
A Russian and an American are drinking at a bar
The Russian says "I'm impressed by american propaganda. It's so subtle but effective."
The american responds "What are you talking about, we don't do propaganda."
Edit: c'mon people, if you're going to use such ambiguous phrases at least have the spine to clue the reader in to what you want them to refer to in this context.
Why not host in east asia? Or southeast asia? Or south america? Or africa? Then you avoid both the government with incentive to spy on you (assuming you live in the EU) and american companies.
I don’t think the hardware requirements are relevant. If a research lab publishes the code their particle collider runs under the GPL, that doesn’t make it not OSS even though they’re the only ones on the planet with the hardware to run it.
Yes but why does that matter? If I am happy with its capabilities now, I will continue being happy with its capabilities in the future.
Yes, it cannot do the newest magic shit, but why does that matter? It can still do everything that existed up until that point, which is _a lot_.
Eventually, you might also need something new, but it's not like the world shifts over all problems that exist from <old> to <new> and any tech for <old> problems suddenly becomes obsolete?
Let’s say I’m a bad faith LLM operator, and I want to degrade my model so the next release looks better and people want to switch to the more expensive one. How would I do that?
Even with minor automation I feel like I can watch OpenAI and Anthropic engineers fiddling in real-time. Tuesdays behaviour changes by Thursday, 10AMs production isn’t possible at 11:30AM. Nutty.
On second thought, it's not funny.
Models are converging, but they converge in bands, and frontier is frontier. I would not like to have any workflows in any area of my business where output is generated by an assortment of models from different providers. For trivial, mundane tasks that might be fine, but it certainly doesn't apply across the board.
Which is what I suspect the providers are doing to fit more inference on the same amount of hardware over time.
X seems to work great. Inciting men in with gambling, porn, crypto, ai and other broistan staples, then feeding them far-right nonsense info points.
Maybe the truth is the newest models aren't actually as impressive as we thought. Maybe our perception of progress is being manipulated via months of gradual, silent and unverifiable degradation.
Long term predictability ought to far outweigh a few more cycles of performance.
Andrew Marble
marble.onl
andrew@willows.ai
June 21, 2026
There was a time not too long ago when using Linux entailed some professional risk1. First there was compatibility: you may not have been able to render a Word document or PowerPoint correctly, and you might have had to trust Open Office’s export capability to render docs the way you wanted. There might have been specialty file formats you couldn’t easily view and so couldn’t collaborate. And second, the software ecosystem was just worse generally. There were lots of half-build open-source projects trying to achieve the functionality of mainstream software, but they always had rough edges. I, embarrassingly, stayed on Windows until I left academia over Matlab.
Nowadays I think this issue has largely disappeared. Most productivity software has a web-app, Linux is more mature, open-source software is better. I’m sure that there are all sorts of application specific software (CAD?) that still require a Windows machine, but the gap is much narrower and Linux + open source generally aren’t the “sacrifice” they once were generally.
There remains a clear penalty for being an open2 LLM user. Every leaderboard consistently gets topped by proprietary models served over API. Today on June 21, 2026, Claude and GPT are at the top of the Artificial Analysis intelligence leaderboard. That’s from the performance side. The compatibility side is worse too. Claude code just works, and more generally, the big two provide nice APIs that make them easy to use, and, even if it’s a low bar, are “trustworthy” in the sense that we’ve largely all agreed we don’t mind sending them our LLM queries and trust them to handle them appropriately.
Open models are served via various means, some by the companies that released them and some by third parties like OpenRouter. Unfortunately, both of these routes are dodgier in terms of privacy and data sharing, and I would not feel the same comfort sending API calls containing client or confidential data to them3.
The other option or course is to run them yourself. This solves the privacy issue but is at least two of expensive, complicated, and comparatively slow.
Up until recently, open models had mostly been a hobby for me. I’ve tinkered with them since the original Llama leak, and occasionally used them when I has a niche use case, but for most professional work, I stuck with the Big 2. This appears to be changing, with Claude’s ID verification rollout4. It was inevitable that things would get worse for users, and the writing was on the wall anyway recently with all the new “safeguards” on recent models and the whole Mythos thing. I’m not going to spend time talking about why I’m not going to indulge ID verification (or the LARPing that surrounds it) but what is immediately concerning is what kind of professional penalty it will incur to stop using the top models.
I’m hoping it’s going to be minimal. I’m already set up to run a range of open models either locally or in the cloud, there are good coding harnesses for open models, and most importantly the open models are now very close to the leaders and typically trail only by a few months. This doesn’t feel like 2008 Linux vs Windows, it’s much closer. I expect productivity will take a short-term hit, but don’t think it’s a deal breaker the way switching from Matlab to GNU Octave would have been when I was doing research.
I’m assuming a technical job that includes general purpose work that requires productivity software like MS Office etc.↩︎
I use “open” here to mean the weights are available, I have written extensively on why I don’t consider this automatically open source, but I’m using “open” as shorthand. And unlike when I addressed this previously, the current leading open models generally are MIT licensed which I do consider open source, though many don’t.↩︎
I won’t dwell on this, happy to be corrected, but in my experience under normal circumstances nobody balks if you tell them you’re using OpenAI or Anthropic. If you’re sending requests to Deepseek or OpenRouter etc. there are likely to be more concerns, regardless of the underlying truth.↩︎
https://support.claude.com/en/articles/14328960-identity-verification-on-claude[↩︎](#fnref4)
A Russian and an American get on a plane in Moscow and get to talking. The Russian says he works for the Kremlin and he's on his way to go learn American propaganda techniques.
"What American propaganda techniques?" asks the American.
"Exactly," the Russian replies.
You do not seem to understand what the EU is. It is not a country, it does not have a police or anything like the NSA.
Of course there were also absolutism, colonialism, the jacobines, nazism & facism, to name just a few. Part of western values, from my perspective at least, is an implicit promise, that what happened in the 20th century with facism was the darkest hour, so to speak-> never again
If anything the EU puts limits on what EU member countries and companies can do. By hosting in one of the EU countries you have stronger legal guarantees on data privacy than in any other area. A possible exception is Switzerland (not a EU member), which historically has had even stronger privacy laws, though these have been weakened recently IIRC.
> sending your money
akchyually if you do it right, you are sending negative money; fair enough otherwise
On the spectrum of:
careful engineering--hacking--mad science
This kind of thing falls far towards the mad science end of the scale, but has proven effective.Then you haven't been paying attention. The constitution prevents citizens from being convicted, but that doesn't stop arrests or being turned away at the border (even for permanent residents who've lived in the US for decades), and US citizens don't seem to care, so it's cold comfort for many of us.
The US federal government forced Paramount to take Colbert off the air. Seems that people in the US don’t actually value these things.
> What values specifically are you optimizing for here?
Probably not being fascist.
There’s just no comparison really. You must really be inhaling some nonsense X propaganda if you think government overreach is worse in Western Europe.
At least it's going to be usable as a very high end gaming PC.
They wouldn't even need to do this uniformly, quantized versions of the model could be routed only a subset of the requests. They could do this to nerf the old model, or more likely just to give themselves more hardware to run the new one on by handling more requests on less hardware. Or to handle increased request volume as traffic ramps up faster than hardware can be provisioned.
Playing with local models at various quants, the degradation can be hard to spot. Sometimes it's only noticeable in aggregate. And even then, you never really know if you just got unlucky with a bad response due to RNG.
I've had Opus 4.6 fall into some weirdly incoherent loops that I rarely see from even Sonnet, that felt like the kind of thing I got frequently with Qwen3.5 9B on local. And the above applies... Was that just bad RNG? Or was my request to Opus routed to some lower quality variant? There's no great way for me to tell for any given request, nor any way to guarantee Anthropic _didn't_ do that.
If the model prefers a version of Ruby or node with an RCE, I guess you can burn tokens to teach the model how to avoid the introducing the vulnerability into your code?
That feels quite tedious and token inefficient..
Not only does Apple's unified memory give the GPU more RAM to use, but it also eliminates copying things between CPU RAM and GPU RAM.
A Mac Mini with 48 GB RAM costs $1799. A Mac Studio with 96 GB RAM is $3999 — until March you could get a Mac Studio with 512 GB RAM for $3999, all of which could be used for your AI model.
https://www.tomshardware.com/tech-industry/apple-pulls-512-m...
Some are coming up used at silly prices.
https://www.trademe.co.nz/a/marketplace/computers/desktops/a...
NB NZ$44,999 is "only" US$25,772.
I think maybe you haven't been paying attention.
Most of us do care. Trump's approval rating is pretty low at 36%, and his disapproval rating is high. Just because he's still causing chaos doesn't mean the majority of us don't care about it. There's just no legal way to remove him, and his cronies simply won't do it - there's not enough votes in congress or he would have been gone after his first or second impeachment.
https://www.npr.org/2026/06/20/nx-s1-5861764/trumps-job-appr...
Not really; the Ellisons are quite close to Trump. Nobody was forced to do anything. Had the FCC actually revoked their license, and had Paramount actually been willing to fight, they could have sued. It's not easy to force anyone that rich to do anything; the state works on behalf of capital. It seems like europe is more aware of the meaningless bluster than the actual crimes being committed
There are much better things to point to to illustrate the deterioration of the rule of law, like blatantly illegal deportation of citizens without due process. Or raping children in concentration camps under the guise of cracking down on crime. We may never even know who was seized and what happened to them and there's little incentive for our very pro-corporate media to report on it.
But sure, paramount is the real victim here.
https://www.facebook.com/story.php?story_fbid=13879460433775...
And that's a good thing.
lol his already happened with Fable!
I don't seem to get any of this with GPT-5.5 or GPT-5.5-Pro (not that I use 5.5-Pro enough to know for sure, but when I do use it, it never seems nerfed).
There is also a low probability that someone enters peace negotiations solely to threaten the negotiators with death, yet here we are. With these guys it is: Better safe than sorry.
Low carbon does not equal expensive, either. Solar is the cheapest power generation method. Solar plus grid scale batteries is in the same cost ballpark as natural gas.
There’s nothing about data centers that is inherently a high carbon business. It’s only a high carbon business in places like the US where political leadership purposefully fights against renewable energy projects that private businesses want to undertake on their own dime.
More generally it would be overpowered by the Sovereign Acts Doctrine.
The facts aren’t identical to the 2008 Yahoo FISCR case but that case sets the tone for how any clauses like this would just be brushed under the rug.
„ deployed the military in cities they don’t like for no other reason than intimidation of political rivals” That’s one perspective on simply trying to enforce laws.
Moreover, let’s not forget about how Biden government tried to silence Rogan.
Don’t get me wrong, I know the thousands reasons why you won’t join a protest, I’m „guilty“ myself. I just want to argue against your argument that I quoted because this puts all of us in an unhelpful victim mentality.
Yes. Yes. The only way one can write secure software is by always using the latest SOTA model. Anything else is inefficient and vulnerable.
I hate this platform
https://www.fox4news.com/news/woman-arrested-facebook-post-c...
https://en.wikipedia.org/wiki/Merger_of_Skydance_Media_and_P...
Read that timeline and then see if you're still convinced that they didn't at least seem to have done a thing or 2 to appease the federal government
An open weight inference provider only needs to pay for GPUs, or discounted APIs from 3rd party vendors. Same basic financial model but they didn't spend a trillion dollars so their loss isn't as high so they can afford to do more inference for less money, and their demand isn't as high so there's more than enough compute.
I didn't appreciate this until I started down that road myself.
By contrast, Biden at the same point in his term was hovering around 39%, for the heinous crime of... rebuilding the US economy? Including some woke riders in his infrastructure bill?
At this point, a fair assessment of US citizens is that on average, they seem to consider that being a right-wing autocrat wannabe, threatening to invade allied countries "as a negotiating tactic", being a climate change denier, starting a humiliating failed war, trying to blackmail the press into compliance, etc, are about 3% worse than being a cringe center-left bureaucrat.
"US citizens don't seem to care" is an apt hyperbole.
But the turnout at the periodic nationwide "No Kings" protests has been very good, and they have fortunately stayed peaceful.
Trump's highest rating was ~47% when he came into office, but he was pretty stably in the low 40s until the new war. The actual drop is somewhere from ~40-42 to ~36-38 - about 10% of his base. Significant, but probably not enough to actually matter unless it drops further.
Hah. When was the last time a non-violent protest yielded some kind of result by itself? Certainly never in american history.
Anyway, there are daily protests. They just aren't covered by the media. Hell, the protests for palestine never stopped... the media just never wanted to cover them.
Maybe you missed this article, but vercel found it quite annoying to teach AI about the latest updates in the React Framework.
I think you’re confusing my point. I’m not saying that only SOTA models can write secure software, I’m saying that the models produced today will write software that’s considered insecure by 2034 standards, thus you would require to burn more tokens in AGENTS.md or burn more of your time to hand write code.
For example, you’re more than welcome to run Windows ME if it does everything you need it to, but that doesn’t mean Windows ME is a secure environment.
Couldn't have put it better myself. That's what all this comes down to. Owning the hardware, owning the inference. Not perpetually renting them out on a meter like in the dystopian future they're envisioning.
checks notes what's this? The protests were organized by oligarchic lackeys? Hmm
When the parties are both fucking stupid when it comes to issues that matter, the entire right/left spectrum goes out the window.
I agree that the Apple case indicates that there’s a lot of uncertainty around this type of issue, at least post 1953 when title II of the DPA expired after Youngstown Sheet & Tube Co. v. Sawyer (1952)
Terrorist attacks, kidnappings, etc made that change take longer. What made MLK Jr so unique was that he carried a message of peace, not a message of war.
The militant factions never had any real power and would have never been close to powerful enough to overthrow the government, and if they’d been more successful, would have swayed the masses’ opinions in the wrong direction.