Yeah I agree that monetization seems hard here. But one niche that might work - tons of people are using LLMs to build out side projects and keeping tickets in the same repo as the project could be really frictionless for LLMs to reach for without an MCP server.
Don't sell to developers for their day jobs, but sell to developers for their hobbies.
I've been thinking for a while that something like this could be a solution for the suboptimal UX in the digital assets space.
Imagine a very small LLM embedded into a MetaMask equivalent where you just specify the task you want to do - ie, "I want to send USDT on mainnet", "I want to import the token at address 0x..." - and the wallet assembles the UX for this task for the human to execute.
I don't understand why this got downvotes - simply extrapolating current trends leads to the need to answer all of these questions.
My own $0.02 on the economics piece - every country should have a sovereign wealth fund. Governments should block market access from automated[0] companies until those companies provide equity contributions to the wealth fund for that country. This aligns regulator and corporate interests. Dividends flow into the sovereign wealth funds and then can be allocated locally from there - UBI, job programs, etc. Let different jurisdictions explore different ways to structure a post-labor society.
On the broader social front - I think a lot of lack of meaning discussion boils down to the overemphasis we have on your job as your self-worth. We need to realign our societal expectations - and people need to spend more time with their families.
[0] for this to work, I think we would need well accepted metrics for 'how automated' a company is - and that probably needs a 3rd party auditing industry.
Nationalize the data centers, reserve enough inference to automate power generation, food production, transportation, and housing.
Is there any government that has gotten socialism correct for its citizens? I'd point to UAE/Qatar if they didn't depend on human servitude and inequality.
I've often thought that s-expression diff-viewers would be very nice tooling. I've also often wondered how easy it would be to just sling s-expressions across the wire to execute in another environment. What would modern infrastructure look like if you could just have lambdas running lambdas?
in at least Common Lisp world slinging s-expressions is considered to be a hack, at best something you do in a development environment, like swank/slime wire protocol. one of the reasons is that a readtable is both powerful, user extendable, and has all kinds of default ways in which a malicious input would be detrimental. you can remove all kinds of reader macros like #.(xyzzy), but to make a truly bulletproof s-expression reader you'd have to build a json like subset from first principles. even things like colons in symbol name package:symbol will trip you up. it's been understood since long time ago, that common internet standards, like RFCs, are the preferred method. in which case the fact that it's an s-expression versus a json is pretty much irrelevant. it's a kind of reader/writer anyway.
Yes, it's nice we have control over it. This is a lisp thing, where features that are used to implement standard things (like the standard reader) are exposed so the user can play with them also.
But code written with custom read tables has some problems. Different code with different read tables may not be composable. If I have two packages that use incompatible read tables I can't import them into a third package and expect to be able to use their readtables there.
Also, it makes treating code as an object to be inspected, modified, and written out again difficult. This is similar to the problem of code rewriting systems on preprocessed languages like C or C++.
A different branch of Lisp put everything into S expressions. Interlisp, for example, had comments in the code as forms, so the code could be editted as S-expressions. But that was dropped from Common Lisp, which took the surface syntax more from Maclisp.
Quite a while back I have read about a system based on Scheme , called termite (I don't remember which scheme that was) that can actually sling live running code/closures across network and execute them remotely..
Tcl has a library called "comm" [0] that lets you expose an interpreter over a socket and since everything in Tcl has a string representation, there's no need for a serialization/deserialization step.
I've often wondered how viable it is to use AI to fill out the ecosystem gaps in awesome but niche languages (still looking at you OCaml...).
I've not gone too deep down this train of thought because a standard library/ecosystem should be solid and I don't think LLMs are quite there... but if we can use LLMs+Lean maybe we can get the quality we need to bootstrap more of the Lean ecosystem?
A couple of years ago I listened to a Lex Fridman podcast with a researcher at the MIT Media Lab. I don't know the status of it, but the researcher spoke about how people in developing countries were experimenting with using local resources as 3D printer feedstock - things like ground-up sea shells - as a way of using local supply lines.
One of the most interesting things he said was that the current waste from 3D printing (and other technology) is really a sign of technical immaturity; nature repurposes everything - there is no trash in an ecosystem, only food for something else. Maybe we'll eventually learn to build infrastructure like that.
You don't hear about them much because their models aren't really competitive. I really wanted to try Trinity Large as a daily-driver in the MiniMax M2 sort of niche but I couldn't make it through a single day. The models need another couple point releases worth of post-training to make useful agents and if memory serves they weren't any less slopped in writing style and those are really the only two things people look for in models.
I'm so mad that this might make me re-subscribe to ChatGPT. I wouldn't have believed how much I use the voice feature before LLMs and ChatGPT currently has the best voice interface. I think Grok's interface is the next best, then Claude.
Absolutely the same. Now that Fable is back, the Claude voice interface is... worth dealing with. The app mostly seems to have trouble recovering from networking issues which is jarring in a deep conversation.
But I don't think Fable or even Opus are ever used as the backend in voice mode. It has to respond in real time so I think in voice mode it's always using Sonnet.
same, i use the voice feature every day at the gym, talk to it for 1 hour, and then make anki cards based on what it has taught me, total game changer.
One of the more counter-intuitive parts of management that I've found is that your focus shifts from delivering a technical outcome to care-taking a team that delivers technical outcomes. It's a meta-function.
A related physics metaphor - in general as you move from IC to SR to management, your focus shifts from changing the position to changing the velocity and acceleration of those around you.
Don't sell to developers for their day jobs, but sell to developers for their hobbies.
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