"I know this" is different from "I know you know this", which is different from "You know I know this", which is still different from "you know I know you know this"
You're right that I jumped the gun and the analogy is not accurate. The point where they are similar is that you have the prefix as context as you try to type out the next word; it is a more deliberate form of reading, and when you do this there's an element of anticipation and analysis as you write each word. It's not quite the same as constantly trying to guess the next word, in my mind the elevated way of thinking was close, probably as close as it's humanely possible, but the analogy does break down there.
On the other hand, you can embrace all this and still let others weep about humanity a little.
>I'm comfortable calling MiniMax the more eager model in this set because that claim is backed by the artifacts, not by vibe. It repeatedly reached for locks, persistence, policy objects, fallback paths, decorators, and extensible strategy shapes
What are "extensible strategy shapes" for those who don't speak LLM?
At this point letting an agent go like this is akin to not leashing your dog in public. It's not easy to draw an accurate line but probably there needs to be real punishment for doing these things.
I suspect this will be a significant problem blocking long-horizon tasks in practice, basically the more turns there are, the larger the chance the classifier produces a false positive. The disappointment of the user will also scale with the length of the task, as you're in the middle of some complex thing and now gets derailed, after already have paid for many tokens.
It's clear to me they are subsidizing inference in exchange for market share, and doing it at this scale makes the most sense if their target is getting more user data. Note that this sort of pricing isn't far off from the equivalent token-based pricing of ChatGPT or Claude subscription plans, which are more clearly subsidized by the user's data.
The development and acquisition of valuable domain knowledge is a hard, risky, expensive and slow process. Because the valuable domain knowledge isn't yesterday's, it's today's and tomorrow's. In fields where domain knowledge matters, it is also deeply intertwined with engineering - you won't task Jeff Dean to develop Unreal Engine from scratch.
With that said, there are still many SWE principles that are not fully internalized or adequately practiced by domain knowledge experts, and that will remain the case as much as domain knowledge remains valuable, because software engineering is yet but another domain.
If the problem resolves to P=NP, that result would probably be more celebratee than being able to formulate the problem, but being able to formulate the problem and get people interested in it is probably worth more than the average primal dual trick to prove a polylog integrality gap for some integer linear program.
Right, you could disagree on which things to prioritize over dollar profits. My main point is that these preferences are not irrational like was asserted. At the scale of a sovereign wealth fund or pensions, you need to care about externalities; in the case of Denmark vs SpaceX you have something relatively concrete, in other cases we need to keep in mind that the goal of these funds are to improve the welfare of who they serve, and see past the dollar signs to take into account the consequences of the investments.
SpaceX is headed by a person who is a strong ally of a politician who openly challenges Denmark's sovereignty over Greenland. Guess you wouldn't mind selling your organs to the same group of powerful people for a few bucks because you're not virtue signalling?
An article with a title saying tokens per second throughput without any qualifier e.g. what size the model is should immediately be classified as spam.
Gemini 3.5 Flash is not good at coding in practice. Gemini 3.1 Pro too, in particular is known to be bad at tool calls. Many companies would love to have alternatives to Claude Code (as it's a significant risk to depend on one vendor), so far most of the buzz is about moving to Codex but much fewer talk about moving to Gemini. All these benchmarks are not very informative, the Chinese labs do better on these benchmarks than in practice, for example.