“AI will steal your job” never made sense. If your company is doing bad, sure maybe you fire people after automating their job. But we’re in a growth oriented economic system. If the company is doing good, and AI increases productivity, you actually will hire more people because every person is that much more of a return on investment
While the subscription is definitely subsidized (technically cross-subsidized, because the subsidy is coming from users who pay but barely use it), Claude Code also does a ton of prompt caching that reduces LLM dependency. I have done many hours-long coding sessions and built entire websites using the latest Opus and the final tally came to like $4, whereas without caching it would have been $25-30.
Are you saying CC does caching that opencode does not? What does Anthropic care? They limit you based on tokens, so if other agents burn more then users will simply get less work done, not use more tokens, which they can't. I don't think Anthropic's objection is technical.
Cry me a river - I never stop hearing how developers think their time is so valuable that no amount of AI use could possibly not be worth it. Yet suddenly, paying for what you use is "too expensive".
I'm getting sick of costs being distorted. It's resulting in dysfunctional methodologies where people are spinning up ridiculous number agents in the background, burning tokens to grind out solutions where a modicum of oversight or direction from a human would result in 10x less compute. At very least the costs should be realised by the people doing this.
I guess that’s kind of the defense of Musk on the cyber truck. If Ford can’t sell hem off their F150 platform, it means you need to make more of a splash. He just went too far…
I've seen an argument that the Prius was intentionally made "ugly/noticeable" because they knew the buyers would be interested in the technology AND want to be recognizable as such.
When hybrids are common, the styling reverted to more normal car-like.
And the only thing they asked is like to add a chapter on a machine learning algorithm. I get that everyone wants to talk about how sick of AI they are. But there are plenty of AI projects that would fit right in the spirit of the book.
Doesn't seem especially out of the norm for a large conference. Call it 10,000 attendees which is large but not huge. Sure; not everyone attending puts in a session proposal. But others put multiple. And many submit but, if not accepted don't attend.
Can't quote exact numbers but when I was on the conference committee for a maybe high four figures attendance conference, we certainly had many thousands of submissions.
The problem isn't only papers it's that the world of academic computer science coalesced around conference submissions instead of journal submissions. This isn't new and was an issue 30 years ago when I was in grad school. It makes the work of conference organizes the little block holding up the entire system.
reply