achompas
You can do that, but then you’re no longer discussing his predictions. You’re discussing your predictions, and your own positioning.
Those differ from Dan’s essay, which engages with the literal text of Ed’s numerous predictions during 2024 and 2025 which are demonstrably invalidated by their measurable outcomes.
I think one of Zitron’s problems is that his moral righteousness has blinded him to how embarrassingly incorrect he is about the AI space.
It’s similarly hubristic with the benefit of shielding from his adversarial framing.
Zitron’s problems are more subtle. He benefits financially from his own claims, while also touting his impartiality and capacity for objective thought.
You might choose a different timeline for Ed’s outcomes. Okay: those are now your predictions, not his.
Zitron has done us the favor of including timelines with his predictions, so that Dan can invalidate almost all of them.
Users will say this-or-that about choice etc etc. It’s about subsidized tokens. Otherwise th users (and OpenCode) would have stopped pushing the workarounds months ago.
Listen, I want more open weight models in the world. They create entrepreneurial opportunities and support use cases which the foundation labs don’t want to support.
But open weight models are consistently three to six months behind on performance compared to closed models, as confirmed by both benchmarks and personal use. They’re closer on coding and much further away on non-coding tasks.
There are theories as to why these models lag, which I won’t get into. But anyone claiming open-weight models are close to closed-weight models is ignoring significant evidence to the contrary.
I think we can attribute a bunch of consternation here to drift between assumed and actual licensing terms.
The actual licensing terms for Claude Code expressly prohibit use of the product outside of the Claude Code harness. If you want Opus outside of CC, the API is available for your use anytime.
Some percentage of the community seems to assume their Claude Code subscription licenses allow free usage of CC across any product surface - including competing products like OpenCode. While this is a great way to save on API costs, the assumption is incorrect. In fact, it is *so* incorrect that Anthropic has encoded their licensing terms into their Terms of Service, and a result can take legal action against any violating parties.
We can have separate discussions about Anthropic’s use of the Common Crawl in pre-training, or whether foundation labs adhere to robots.txt conventions. But those don’t directly impact Anthropic’s right to bring litigation.
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Outside of that I think angry users have their own stated preferences v revealed preferences here. They claim they want Opus on their terms, and Anthropic’s actions infringe on their user rights.
Angry folks: Opus is right there! You just need an API key! The reality is you want Opus in your devtools of choice at discounted rates. You could at least be honest about your consternation
Paying customers of Claude Code don’t receive a free-use license for any desired application. They’re paying to use Claude Code. Anthropic can take steps to litigate usage outside of those terms, even if customers find that fact really annoying.
1.5M Human Preference Arena Rankings on LLM Responses
CrowdStrike's re:Invent 2024 marketing is...a very long line
Ultra low-latency routing between RAG agents
Accurately predict when to send queries to an LLM vs. a human expert
AI Model Rankings on Human Preference from Not Diamond's Arena Mode
AI-router-chat – An AI chat app with LLM model routing
The better version of my argument is "the product is not the same because it was not appropriately transferred between operators."
Of course this is all squishy and grey, since I don't believe DataTau filed a trademark claim, but moving forward with an identically-named product is still poor taste.
If you wanted to keep the project running, the first step would be to speak with the real site's maintainer to develop a plan.
They also have mobile apps, they run product experiments, they source and sell clothing and manage inventory, they build and iterate on algorithmic approaches to recommend and design clothing (many of which help stylists and never reach the screen of an external client).
You can skim through their Algorithms blog for some more detail. I find them impressive in how they scale the impact of relatively few stylists to about 3M users.
https://www.kleinerperkins.com/files/INTERNET_TRENDS_REPORT_...