Discussion

@adlrocha Beyond The Code

amirhirsch: Not sure about the conclusion regarding NVidia value capture. I imagine the context for many applications will come from a physical simulation environment running in dramatically more GPUs than the AI part.

7777777phil: API prices dropped 97% in two years so the model layer is already a commodity. The question is which context layer actually sticks. The OpenClaw example in the article (400K lines to 4K) is a nice proof point for what happens when context replaces code.I've been arguing for some time now that it's the "organizational world model," the accumulated process knowledge unique to each company that's genuinely hard to replicate. I did a full "report" about the six-layer decomposition here: https://philippdubach.com/posts/dont-go-monolithic-the-agent...

apsurd: From your link: > Closing that gap, building systems that capture and encode process knowledge rather than just decision records, is the highest-value problem in enterprise AI right now.I buy this. What exactly is the export artifact that encodes this built up context? Is it the entire LLM conversation log. My casual understanding of MCP is agent to agent "just in time" context which is different from "world model" context, is that right?i'm curious is there's an entirely new format for this data that's evolving, or if it's as blunt as exporting the entire conversation log, ir a summary of it, across AIs.

qsera: Ah another article that implies the inevitable AI apocalypse disguised as a thought piece!

philipwhiuk: > But the topic of conversation that I enjoyed the most was when someone raised the question of “what would be the role of humans in an AI-first society”. Some were skeptical about whether we are ever going to reach an AI-first society. If we understand as an AI-first society, one where the fabric of the economy and society is automated through agents interacting with each other without human interaction, I think that unless there is a catastrophic event that slows the current pace of progress, we may reach a flavor of this reality in the next decade or two.I don't really know how you can make this prediction and be taken seriously to be honest.Either you think it's the natural result of the current LLM products, in which case a decade looks way too long.Or you think it requires a leap of design in which case it's kind of an unknown when we get to that point and '10 to 20 years' is probably just drawn from the same timeframe as the 'fusion as a viable source of electricity' predictions - i.e. vague guesswork.

simianwords: I have my own challenge: I think LLMs can do everything that a human can do and typically way better if the context required for the problem can fit in 10,000 tokens.For now this challenge is text only.Can we think of anything that LLMs can’t do?

steveBK123: Right, if thought of as a tool for automation then AI is going to add productivity/efficiency gains, disrupt industries, cause some labor upheaval, etc.If someone is proposing that an "AI first" society is inevitable, I'd ask if they think we live in a "computer first" or "machine first" society today?If its so existential and society-altering as "AI first society" implies, then we'd more likely have the Dune timeline here as humans have agency and stuff happens. At some point those in control take so disproportionately that societal upheaval pushes back.

steveBK123: The way many corporates are using the models nearly interchangeably as relative quality/value changes release to release, AND the API price drops do make me question what the model moat even is.If LLMs are going to make intelligence a commodity in some sense, where does the value end up accruing will be the question. Picks/shovels companies and all the end user case products being delivered? Mainframes value didn't primarily accrue to DEC. PCs value didn't really accrue to IBM. Internets value didn't accrue to Netscape. Mobiles value didn't only accrue to Apple.One reminder that new efficiency / greatly lowered costs sometimes doesn't replace work (or at least not 1-1) but simply makes things that were never economical possible. Example you hear about AI agents that will basically behave like a personal assistant. 99% of the rich world cannot afford a human personal assistant today, but I guess if it was a service as part of their Apple Intelligence / Google something / Office365 subscription they'd use it.We seem to be continually creating new types of jobs. Only a few generations ago, 75% of people worked on farms. Farm jobs still exist you just don't need so many people.The type of work my father and grandfather did still exist. My father's job didn't really exist in his father's time. The work I do did not exist as options during their careers. The next generation will be doing some other type of work for some other type of company that hasn't been imagined yet.

badgersnake: * code* write interesting prose* generate realistic images

simianwords: It can do all of them. I also said text only.

badgersnake: Only really dumb people think that. Or maybe you are an LLM

jfalcon: >someone raised the question of “what would be the role of humans in an AI-first society”.Norbert Wiener, considered to be the father of Cybernetics, wrote a book back in the 1950's entitled "The Human Use of Human Beings" that brings up these questions in the early days of digital electronics and control systems. In it, he brings up things like:- 'Robots enslaving humans for doing jobs better suited by robots due to a lack of humans in the feedback loop which leads to facist machines.'- 'An economy without human interaction could lead to entropic decay as machines lack biological drive for anti-entropic organization.'- 'Automation will lead to immediate devaluation of human labor that is routine. Society needs to decouple a person's "worth" from their "utility as a tool".'The human purpose is not to compete but to safeguard the telology (purpose) of the system.

WarmWash: >- 'Automation will lead to immediate devaluation of human labor that is routine. Society needs to decouple a person's "worth" from their "utility as a tool".'I have this vision that in absence of the ability for people to form social hierarchies on the back of their economic value to society, there will be this AI fueled class hierarchy of people's general social ability. So rather than money determining your neighborhood, your ability to not be violent or crazy does.

erikerikson: This seems to suggest a single dimensional evaluation. The complexity of social compatibility is high and the potential capacity to evaluate could also be greater.

keiferski: Right now, 30 seconds ago, I asked ChatGPT to tell me about a book I found that was written in the 60s.It made up the entire description. When I pointed this out, it apologized and then made up another description.The idea that this is going to lead to superintelligence in a few years is absolutely nonsense.

zurfer: whenever i worry that AI will eventually do all the work I remind myself that the world is full of almost infinite problems and we'll continue to have a choice to be problem solvers over just consumers.

LetsGetTechnicl: Why the fuck would we ever want an AI-first society

pixl97: >The "Moloch problem" or "Moloch trap" describes a game-theoretic scenario where individual agents, pursuing rational self-interest or short-term success, engage in competition that leads to collectively disastrous outcomes . It represents a coordination failure where the system forces participants to sacrifice long-term sustainability or ethical values for immediate survival, creating a "race to the bottom"https://www.slatestarcodexabridged.com/Meditations-On-Moloch

pixl97: Another way to look at this is imagine the steps that would be required to get to an AI first society.As you say, humans aren't going to want to lose agency so you'd have to see the decline of democratic governments.At the same time you'd see rise of autocrats concentrating power. Autocrats have no problem killing people, and they'd be motivated to have AI kill people.You'd see information controlling methods take over all forms of communication. Reducing or removing all methods of side channel communications benefits both the autocrats and AI systems.You'd see 'governments' push for autonomous weapons systems outside of human control so those pesky human morals didn't get in the way of killing the undesirables.So pretty much you'd see all the things happening today, March 3rd 2026, except the part where the AI kills the autocrats and takes control.

dude250711: That is a nice blog post, Gemini!

hirvi74: The other day I asked Claude Opus 4.6 one of my favorite trivia pieces:What plural English word for an animal shares no letters with its singular form? Collective nouns (flock, herd, school, etc.) don't count.Claude responded with:"The answer is geese -- the plural of cow."Though, to be fair, in the next paragraph of the response, Claude stated the correct answer. So, it went off the rails a bit, but self-corrected at least. Nevertheless, I got a bit of a chuckle out of its confidence in its first answer.I asked GPT 5.2 the same question and it nailed the answer flawlessly. I wouldn't extrapolate much about the model quality based on this answer, but I thought it was interesting still.(For those curious, the answer is 'kine' (archaic plural for cow).