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I love the idea that a single user will have collected enough data to demonstrate to Anthropic a clear regression due to this change.


I almost wonder if Claude reads that it “keeps responses focused, brief, and concise” and interprets that as built-in behavior and concludes that it doesn't need to spend additional effort enforcing it, just as it doesn't need to expend effort being “accessible via this web-based, mobile, or desktop chat interface”.


Prompts don't matter when you've heavily trained the model for verbosity (because that's what gets you the best benchmark scores).


Claude doesn't "interpret" anything. That's not how LLMs work. They are still sentence completing machines. You give input in, the model network fires the chain that produces the most likely related output. That's it.

I think you might be right, though that this would have influence on other output tokens since it is phrased as a substantive property, rather than an instruction.


1. We don't need to connect every nook and corner with public transit. Each city having its own would be sufficient. 2. The US is sparse _because_ of cars: the space allocated for parking pushes things apart.


The models themselves have far from plateaued. Maybe someone finds a way to get a really capable model down to, say, 12GB of ram. Then we'd be in business.


Agreed. We've just seen DeepSeek post-train their ~300 billion parameter flash model to outperform their 1.6 trillion parameter pro model, in the space of a few months. There would seem to still be quite a few opportunities on the table to bring big model smarts down to the smaller models


If it switches mid conversation, this is a massive increase in token consumption because it has to re-read your conversation into cache, right?


Definitely — the language comes pre-tokenized!


Finally an advantage for Chinese after being penalised during the early stage of compute!


Do you really care if someone forgot to format before committing? They can always squash and push locally if they need to.


> Do you really care if someone forgot to format before committing?

Not OP but yes I definitely do. If you expect others to spend time reviewing your code, you are obligated to start off by reviewing it yourself. Posting a mess helps no one and makes code harder to audit.


I really really really do not want the autoformatter stuff happening in the same commit as where the real thing happens. I don't care to review if the autoformatter is working properly.


Paying for someone to clean your house? Thats so last year.

Why an AI company cleaned my New York City apartment for free

https://www.bbc.com/news/articles/cpwerjy20kyo


> However, Kilic said Shift was "the most honest platform by far regarding what happens to your data".

Good good


The original MCP!


I was very dismayed to find that the single serve maple syrup packets that I thought existed are instead just more corn syrup, which cost 21¢ per 1.4oz packet, or 15¢/oz. Meanwhile a jug of maple syrup is 56¢/oz and single serve packets seem to be a bit more than a dollar per ounce.


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