Earlier quoted context omitted.
That post doesn't address the human factor of cost, and I don't mean that in a good way. Even if AI costs more than a human, it's tireless, doesn't need holidays, is never going to have to go to HR for sexual harassment issues, won't show up hungover or need an advance to pay for a dying relative's surgery. It can be turned on and off with the flip of a switch. Hire 30 today, fire 25 of them next week. Spin another 5…
Why do you think it can't sexually harass someone or drive people to suicide. There are already lawsuits coming in on it causing suicides. This is an architecture that people are increasing begging to give network connectivity that can't differentiate its system prompt from user input
Measuring Claude 4.7's tokenizer costs
531–540 of 540 posts
Re: Measuring Claude 4.7's tokenizer costs
#532Earlier quoted context omitted.
More importantly it collapses mythical-man-month communication overhead.
Hang on, tell me how, because I am not picking up what you are putting down. At a minimum, wouldn’t this require working from a perfectly written spec that has already accounted for the discovery of changes that would need to be made from the original perfect spec?
Re: Measuring Claude 4.7's tokenizer costs
#533Earlier quoted context omitted.
You dramatically overestimate how much time engineers at hypergrowth startups have on their hands
There's a direct business incentive to game/cheat benchmarks, it wouldn't even be difficult to do, and besides, they have workforce-replacing AI to do it for them.
Re: Measuring Claude 4.7's tokenizer costs
#534Earlier quoted context omitted.
More importantly it collapses mythical-man-month communication overhead.
Hang on, tell me how, because I am not picking up what you are putting down. At a minimum, wouldn’t this require working from a perfectly written spec that has already accounted for the discovery of changes that would need to be made from the original perfect spec?
1. "Mythical Man Month" which is the shorthand for a whole book + concept that you can't just throw more people at a software development project and get linear productivity improvements as the communications overhead (meetings, emails, mistakes due to poor assumptions, etc.) deeply eat into the raw number of productive hours that a new person added to the team brings.
2. AI automation tools (Claude Code) are often described as a "junior developer" which is an imperfect comparison as while you could potentially sort of set them up that way many people use them as more of a singular force multiplier.
I use them to work on many more projects in many more ways and ship far more than I could even if I had a "junior developer" sitting alongside of me as there's not the same level of communication needed.
Re: Measuring Claude 4.7's tokenizer costs
#535Re: Measuring Claude 4.7's tokenizer costs
#536I did some work yesterday with Opus and found it amazing. Today we are almost on non-speaking terms. I'm asking it to do some simple stuff and he's making incredible stupid mistakes: This is the third time that I have to ask you to remove the issue that was there for more than 20 hours. What is going on here? and at the same time the compacting is firing like crazy. (What adds ~4 minute delays every 1 - 15 minutes) |…
> This is the third time that I have to ask you to remove the issue that was there for more than 20 hours. What is going on here? I don't know if you're giving this as something you've actually given Claude, but I don't think it's a good way of using Claude. It's not a collaborator who's having a bad day where a little empathy might make him feel better and realize his error. It's a token generator based on a prompt…
That wasn't the full prompt, I trimmed it for clarity, but I agree with everything you said and that's how I actually use it.
I have a proxy logging everything sent to and from Claude in a structured way, which is precisely what let me do that compaction analysis in the first place.
When Claude goes off track, I don't tell it "you did something wrong". I ask it to analyze the tool outputs and the exchange so far and let it reconcile the discrepancy itself. That tends to work better than narrating the error to it.
The venting messages like that one are honestly for me, not for Claude. I know it's a tool. But it also behaves and communicates like a person, and that's a design choice that comes from Anthropic, not from me. What I've found is that writing something like that and then following it with proper instructions works fine in practice: Claude either ignores the venting or briefly acknowledges it and moves on. The actual output isn't affected. It's just how I process frustration without breaking the workflow.
Re: Measuring Claude 4.7's tokenizer costs
#537Claude's tokenizers have actually been getting less efficient over the years (I think we're at the third iteration at the least since Sonnet 3.5). And if you prompt the LLM in a language other than English, or if your users prompt it or generate content in other languages, the costs go higher even more. And I mean hundreds of percent more for languages with complex scripts like Tamil or Japanese. If you're interested…
I would encourage you to post a link here, and also to submit to HN if you haven't already. :)
Re: Measuring Claude 4.7's tokenizer costs
#538Earlier quoted context omitted.
This is most likely trajectory I fear. It reminds me a lot of Oracle, where they rebrand and reskin products just to change pricing/marketing without adding anything.
Win 10, win 11, all the recent macOS,… could have been released as features and not new products
It’s not always for the best mind you, but I do think major changes to the GUI or UX do deserve a version indicator given they are relatively infrequent. Without some requirement of course.
Nobody buys Oracle because of the UI or upgrades because of a new UI. It’s the underlying tool that matters and if my ugly version is working there is no incentive to upgrade to a prettier version.
Re: Measuring Claude 4.7's tokenizer costs
#539Re: Measuring Claude 4.7's tokenizer costs
#540Earlier quoted context omitted.
Hang on, tell me how, because I am not picking up what you are putting down. At a minimum, wouldn’t this require working from a perfectly written spec that has already accounted for the discovery of changes that would need to be made from the original perfect spec?
The way I see it, because you can spin up additional AI employees at will (and spin them back down), when the problem with the spec is found, it's no big deal to redo all of that work from before, adjusting for that change.