Earlier quoted context omitted.
For me it's the ... unearned confidence that 4.5 absolutely did not have? I have a protocol called "foreman protocol" where the main agent only dispatches other agents with prompt files and reads report files from the agents rather than relying on the janky subagent communication mechanisms such as task output. What this has given me also is a history of what was built and why it was built, because I have a list of p…
Have you tried framing the hypothesis as a question in the dispatch prompt rather than a statement? Something like -- possible cause: X, please verify before proceeding -- instead of stating it as fact. Might break the assumption inheritance without changing the overall structure.
Claude Sonnet 4.6
411–420 of 1001 posts
Re: Claude Sonnet 4.6
#412Earlier quoted context omitted.
Opus is supposed to be the expensive-but-quality one, while Sonnet is the cheaper one. So if you don't want to pay the significant premium for Opus, it seems like you can just wait a few weeks till Sonnet catches up
Strangely enough, my first test with Sonnet 4.6 via the API for a relatively simple request was more expensive ($0.11) than my average request to Opus 4.6 (~$0.07), because it used way more tokens than what I would consider necessary for the prompt.
Re: Claude Sonnet 4.6
#413Earlier quoted context omitted.
The real interesting part is how often you see people on HN deny this. People have been saying the token cost will 10x, or AI companies are intentionally making their models worse to trick you to consume more tokens. As if making a better model isn't not the most cutting-throat competition (probably the most competitive market in the human history) right now.
Only until the music stops. Racing to give away the most stuff for free can only last so long. Eventually you run out of other people’s money.
Re: Claude Sonnet 4.6
#414Earlier quoted context omitted.
Remember when GPT-2 was “too dangerous to release” in 2019? That could have still been the state in 2026 if they didn’t YOLO it and ship ChatGPT to kick off this whole race.
I was just thinking earlier today how in an alternate universe, probably not too far removed from our own, Google has a monopoly on transformers and we are all stuck with a single GPT-3.5 level model, and Google has a GPT-4o model behind the scenes that it is terrified to release (but using heavily internally).
Re: Claude Sonnet 4.6
#415Earlier quoted context omitted.
Keep in mind that the people who experience issues will always be the loudest. I've overall enjoyed 4.6. On many easy things it thinks less than 4.5, leading to snappier feedback. And 4.6 seems much more comfortable calling tools: it's much more proactive about looking at the git history to understand the history of a bug or feature, or about looking at online documentation for APIs and packages. A recent claude code…
keep in mind that people who point out a regression and measure the actual #tok, which costs $money, aren't just "being loud" — someone diffed session context usaage and found 4.6 burning >7x the amount of context on a task that 4.5 did in under 2 MB.
Re: Claude Sonnet 4.6
#416It's wild that Sonnet 4.6 is roughly as capable as Opus 4.5 - at least according to Anthropic's benchmarks. It will be interesting to see if that's the case in real, practical, everyday use. The speed at which this stuff is improving is really remarkable; it feels like the breakneck pace of compute performance improvements of the 1990s.
The most exciting part isn't necessarily the ceiling raising though that's happening, but the floor rising while costs plummet. Getting Opus-level reasoning at Sonnet prices/latency is what actually unlocks agentic workflows. We are effectively getting the same intelligence unit for half the compute every 6-9 months.
Something something ... Altman's law? Amodei's law?
Needs a name.
Re: Claude Sonnet 4.6
#417I see a big focus on computer use - you can tell they think there is a lot of value there and in truth it may be as big as coding if they convincingly pull it off. However I am still mystified by the safety aspect. They say the model has greatly improved resistance. But their own safety evaluation says 8% of the time their automated adversarial system was able to one-shot a successful injection takeover even with saf…
Does it matter? Really? I can type awful stuff into a word processor. That's my fault, not the programs. So if I can trick an LLM into saying awful stuff, whose fault is that? It is also just a tool...
If I sell you a marvelous new construction material, and you build your home out of it, you have certain expectations. If a passer-by throws an egg at your house, and that causes the front door to unlock, you have reason to complain. I'm aware this metaphor is stupid.
In this case, it's the advertised use cases. For the word processor we all basically agree on the boundaries of how they should be used. But with LLMs we're hearing all kinds of ideas of things that can be built on top of them or using them. Some of these applications have more constraints regarding factual accuracy or "safety". If LLMs aren't suitable for such tasks, then they should just say it.
Re: Claude Sonnet 4.6
#418Many people have reported Opus 4.6 is a step back from Opus 4.5 - that 4.6 is consuming 5-10x as many tokens as 4.5 to accomplish the same task: https://github.com/anthropics/claude-code/issues/23706 I haven't seen a response from the Anthropic team about it. I can't help but look at Sonnet 4.6 in the same light, and want to stick with 4.5 across the board until this issue is acknowledged and resolved.
Re: Claude Sonnet 4.6
#419Earlier quoted context omitted.
I was just thinking earlier today how in an alternate universe, probably not too far removed from our own, Google has a monopoly on transformers and we are all stuck with a single GPT-3.5 level model, and Google has a GPT-4o model behind the scenes that it is terrified to release (but using heavily internally).
It would have been nice for me to be able to work a few more years and be able to retire
Re: Claude Sonnet 4.6
#420I always grew up hearing “competition is good for the consumer.” But I never really internalized how good fierce battles for market share are. The amount of competition in a space is directly proportional to how good the results are for consumers.
This is a bit of a tangent, but it highlights exactly what people miss when talking about China taking over our industries. Right now, China has about 140 different car brands, roughly 100 of which are domestic. Compare that to Europe, where we have about 50 brands competing, or the US, which is essentially a walled garden with fewer than 40. That level of internal fierce competition is a massive reason why they are…