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I ran some tests from the watermarking literature: https://johnjwang.com/post/2026/08/12/how-claude-watermarkin... Short version: it's likely a SynthID style statistical watermarking scheme that Anthropic is using. There's likely no hidden unicode and no large stable green/red scheme. Longer version: I found some really statistically significant outcomes when using Gloaguen et al.’s ( https://www.sri.inf.ethz.ch/blog/probingsynthid ) detection algorithm for SynthID, though unfortunately it seems like the models might be pre-biased to pass that test already. The difficult thing is that it's hard to conclusively know which models definitely already have watermarking enabled and if there are any models that don't have watermarking, …
The benchmark article we're replying to shows that Grok token usage is at least on par with the latest OpenAI models [1], and significantly cheaper per token: https://artificialanalysis.ai/models/grok-4-6#token-use So depending on how you want to define "token efficiency", Grok is either tied with OpenAI, or in the lead. [1] Though I grant that 4.6 appears to be wordier, on the order of Terra max.
Given the chatter about Anthropic's watermarking its output, here's an older one from Fast Forward Labs on steganography. Code: https://github.com/fastforwardlabs/steganos
Malort tastes like what it is: a cleaning solvent. It's a prank Chicagoans play on tourists. The authentic, artistically coherent version of Malort is Novasalus.
Same here. Regularly reverting back to Opus 4.8 after 5.0 being terrible. Anthropic does this all the time (ruins their models for users) while they screw around with system prompts. Oh but it's for your own good of course! They know what's best for us all, if we would just give them a monopoly. I can't wait until OpenAI/Grok/Chinese models surpass them enough that their main character syndrome and smug doomerism no longer draws much media attention.
Same here. Regularly reverting back to Opus 4.8 after 5.0 being terrible. Anthropic does this all the time (ruins their models for users) while they screw around with system prompts. Oh but it's for your own good of course! They know what's best for us all, if we would just give them a monopoly. I can't wait until OpenAI/Grok/Chinese models surpass them enough that their main character syndrome and smug doomerism no longer draws much media attention.
Yes, they have transparent api rates. And for Anthropic and OpenAI their rates are exactly like API pricing.
Yes, they have transparent api rates. And for Anthropic and OpenAI their rates are exactly like API pricing.
Hello, I'm the creator of LinkedIn CringeBot 3000. The "Oops..." error message some of you were getting was because my Anthropic credit ran out in the middle of the night my time and I needed to refill it. We should be good going forward. CringeBot uses Claude Sonnet 4.6 as the main LLM (though after you have generated an output you can hit the "Try DeepSeek" button to see how DeepSeek would answer the same prompt). One interesting wrinkle. As far as I can tell, Sonnet 4.6 is the last Anthropic model to offer a "temperature" setting. Temperature controls how random or predictable the model's word choices are, which is useful for tuning the outputs. Newer Anthropic models don't seem to have this option. There are two prompt categories at work under the hood. A general system prompt that ap…
Competing doesn't mean winning The rental deal can be terminated by either side with 90 days notice, and presumably Musk would do so if he needed the compute or generally thought it advantageous to do so. For now he doesn't need the compute. The rental deal may also have been at least in part to juice the SpaceX IPO and to help Anthropic stick it to his enemy OpenAI.
Competing doesn't mean winning The rental deal can be terminated by either side with 90 days notice, and presumably Musk would do so if he needed the compute or generally thought it advantageous to do so. For now he doesn't need the compute. The rental deal may also have been at least in part to juice the SpaceX IPO and to help Anthropic stick it to his enemy OpenAI.
I've been using grok 4.5 with grok build soon after it came out and dropped claude. primarily for personal code. It communicates better. While that might not sound like a big deal it is. It doesn't give me a wall of text, tells me what I need to know and I'll make the actual decisions. It is very quick as well which means the sessions are far more interactive, I'll be steering it more. I sometimes cross check with codex and sol, but the daily driver is grok for me. I found it has improved my productivity and output over claude where it felt like claude was giving me work to do. furthermore with the recent claude watermarking thing, I'd rather use grok or openai. If anyone is curious download grok cli and throw a couple of prompts at it. you'll be surprised.
Enterprises need a solution like Lovable or Replit if only for the one-touch deployments. Unfortunately, neither tool is there. I don't know what's taking Anthropic, OpenAI, Google, Microsoft, even AWS to build deployments themselves. There are only a handful of reference architectures for vibe-coded apps.
I read your ad. It states you replicated the bug once the SQLite team fixed it, and published it. Not sure what’s difficult about replicating behaviour when it’s spelled out for you.
I've used all of the models extensively and Grok is only "faster" because it claims to be done minutes after you ask it to do something. It does not produce results anywhere near the Anthropic or OpenAI models, it just hacks a tiny piece of what you ask for and says "I'm done!". I also notice Musk-isms leaking through the model. Multiple times it's told me "this is not a roast" or "I'm not roasting your code". People who use this model because they align with Musk's ideology are doing us all a favor and weeding themselves out of the competition.
Anthropic rent the same data centre with the turbines from X btw
That argument would be coherent if not for the fact that in this case, the commenter had scrolled past one unsupported set of statements, accepted them, then challenged the other set; that's not reasonable. Accepting something without evidence and only challenging things that disagree with your evidence-less beliefs is the exact opposite of even-handed.
Researchers moving between companies (and other ways that techniques get leaked) is the largest cause of this IMO. It's happening continuously, so I don't see why the timing makes it implausible. A really underrated strength of Silicon Valley is California's ban on non-competes that allows this to happen and ensures robust competition between model providers both for talent (increasing salaries for workers) and in the marketplace (reducing prices for consumers). If OpenAI had been located in New York instead then Anthropic could never have succeeded, for example. But I think the other reason you didn't mention is the timing of new compute coming online. Compute is the major factor limiting the training of these models and new datacenter investments are bearing fruit at around the same tim…
I didn't mean that - I meant that when, for example, Anthropic started, then later finished their Mythos/Fable pre-training run that people at OpenAI and elsewhere would have heard about it, probably knew some details such as the size of the model etc - people from these companies go out and socialize with each other, attend parties, share houses ... So, it's not coincidence when they respond to each others models with something roughly equivalent - because they know what each other are working on.
Yeah, even without the resets, chatgpt subscription currently goes quite a bit further than an equivalent anthropic plan. The main reason to have an anthropic plan is to get access to Fable 5 if you feel the quality of output makes it worth it.
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