@josephrobison@intellectronica The transparency of knowing (they surely know) GPT 5.5 is much stronger than Opus 4.7 even if the latter scores better in the benchmarks, and yet presenting the data as if it was the proof they model is better?
@DavidFloresR98 Si eres de los que cambia los overgrips con frecuencia, esos Zarsia son, sin duda, los mejores calidad/precio que he probado. Llevo 2 años usándolos y he llegado a pagar $20 por 60.
Solo asegúrate de comprar los de la pegatina plateada. Los otros que he probado son malísimos.
Judging by my tl there is a growing gap in understanding of AI capability.
The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code.
But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along.
So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions.
TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.
If you are a software engineer "experiencing some degree of mental health crisis", now hear this, because I've been coding for 50 years since the days of punched cards and I have a salutary kick in your ass to deliver.
Get over yourself. Every previous "programming is obsolete" panic has been a bust, and this one's going to be too.
The fundamental problem of mismatch between the intentions in human minds and the specifications that a computer can interpret hasn't gone away just because now you can do a lot of your programming in natural language to an LLM.
Systems are still complicated. This shit is still difficult. The need for people who specialize in bridging that gap isn't going to go away.
As usual, the answer is: upskill yourself and adapt. If a crusty old fart like me can do it, you can too.
@dhh Tried the Flow84 after 20+ years of typing in laptop-like keyboards (mostly Thinkpad and Macbook). The error rate was through the roof, not to mention when coding or typing in remote shells. Tried the Air75 v3 and it's much better. I think it's mostly the kickstand, and keycaps.
@dhh There's a saying: "show me the man and I will find you the crime" ... and when it comes to software, we can equally say "show me the software and I will find you the bugs".
It's easy to find quirks in any piece of software if your intent is to find something.
@robzolkos Depends.
How many payloads will you be receiving? Tons of requests? once in a while?
How big are the files and how long does it take to process them?
How important is it to let the sender know the payload was processed successfully or not?