Incipient

The role exists because if you and I both know AI is heading towards being a commodity (thanks China!) then openai absolutely knows it too, and they're planning HARD to avoid this existential threat.

Does $1 on home solar take away $1 from utility solar? Probably not. Does it take away more than $0.00? Definitely.

Who knows if it takes away an amount that actually matters - however in the short term at least it absolutely makes things better for the individual installing them, which is good.

I don't think the fundamental premise is much of an issue - it's what a (mostly) free market is meant to do. Someone sells a chair for $100, someone else believes they can sell it for $80, so they do. There are two main complicating factors (outside of brand reputation and possibly some others?)

1) quality - someone accepts the $80 chair which is a little bit more wonky

2) the $100 company spent a few years developing the technology to steam and bend timber to make the chair so they're marking up based on R&D and ip. The $80 chair company just copied the other tech

There is absolutely a lot of profiteering (charge what we can, not what we need to) happening, but honestly I believe that happens everywhere, including China (trivial case - wild price swings on aliexpress - they're maximising profits).

But selective subsidising still doesn't really help that. Subsidise household rooftop solar, home batteries, EVs and a whole host of other ways that directly benefit the more average person.

I fully understand why power generation is subsidised - however honesty I feel if the govt is subsidising it, they should get a cut of the profits too.

I also believe in a free market, and power should be subsidised equally per MW (MWh maybe?) this takes the politics out of a structural necessity. If you want to push a political agenda - great - but do it on political topics.

Honestly out of all the crazy things this chap has done, limiting "birthright tourism" really doesn't seem bad.

It's not the readme that gets me. It's the damn "chasing loc" KPI in the industry that continuously drives Claude to spout entire essays of docstrings and comments that make code unreadable that infuriates me!

I find agents are definitely useful as a blind audit/adversarial attack on a set of changes. A more comprehensive prompt, but in essence "go come up with a set of changes you'd make to achieve -set of requirements and then compare to what has actually been done and report back". I have CC so am more liberal with this towards the end my week when I have spare tokens!

Edit: I have no clue if they earn their tokens, but as I get them 'free' on the sub I haven't needed to evaluate.

Nitpicking - I'd argue the title is spot on! It's a new source of energy. Not a new type. But yeah, I clicked expecting a research article. Not a deep hole.

I'm genuinely curious how you can do this - with limited context tokens, I find the output is often inconsistent with the project, or recreates functionality it missed, if I forget to point it at every pertinent object/library/etc it will need.

Publishers don't care if rare books get shredded?

I personally find react overly engineered for my projects - vuejs (+quasar on top) is just great. Granted a little boring perhaps, but it just works, behaves as you'd expect, and doing anything just isn't that difficult.

I'd say you have to have a really solid/creative (ingenious?) plan beyond "just nationalise it and she'll be right" - otherwise yeah it'll just be heavy and a drain on the economy.

Varta has moved (outsourced?) pretty much all consumer batteries we get in Australia to China.

Wait this is new? Large context models figure out the architecture of the request. Miss sized models plan out each requirement, and smaller models implement a tightly detailed task? Isn't this the standard approach?

But can it, really? It takes a huge amount of time, resources, and knowledge to train a highly capable model. It also takes a huge amount of the same to run them.

Is it ever going to not be centralised?

$200/mo for 20x Max is great value - but it's not sustainable and won't last forever. Microsoft gave up. Anthropic will too. I use roughly $10k/mo - at that price it's absolutely not worth it.

I'm genuinely not sure where the balancing point even is.

I mean Claude IS replacing people. Even in Australia - Claude + postgres mcp is replacing data/bi people in even small and medium businesses.

Blimey there is always a new thing to learn/use/know with AI - keeping up is getting tiring.

Is there a viable alternative to the sync clients - pc/android with cloud/ghost files etc?

I wish I never thought of it. Just had a recent Samsung TV update, and now it has to sign in EVERY TIME it turns on. I'm considering how to frame it as a warranty job.

My current approach which I've been testing on two MVPs with what I would call 'moderate success' (but hey, actual success!)

3 tier, philosophy-spec-design. Increasing detail. Design files include db model explanations and pseudocode/function headers - that level of detail.

For each thing I need to change, I have a, prompt ready to go to ask the agent to follow about 5 steps and it outputs a 'reviewfile' with details of what it things about the thing I posited. I review its output. I have another prompt ready to then get an agent to generate a taskfile + update the design documentation. The taskfile explains in great detail what has changed and what needs to be implemented. I review the taskfile and got diffs of the design doc changes. Finally an agent implements the taskfile. I review all changed code and commit.

It gets there, but still definitely misses some stuff. It's very adequate for a MVP I'm finding.

Edit: this seems to only work with Opus. Sonnet can't do it (maybe I'm just lucky and Opus is seriously compensating for an awful approach and I'm just lucky?)

I had to do the same. I expect everything will go token pricing, and at that point a LOT of small/mid businesses will drastically change how they use code.

I've swapped to the 20x Claude plan for a month or two to knock out two ideas I need to get it MVP - expecting Claude to go token priced soon.

I have spent a SOLID 3 full days 8h/day (plus long running tasks overnight) thrashing out a random idea for a Web application using purely Opus (mostly Max, sometimes ultracode version). I'm not a project manager, but I genuinely tried a full 3-tier spec out - design->specs->build details.

While it was significantly better than previous attempts, it still misses very basic things - sporadically. Eg. A clear design requirement was essentially adding clients, explained clearly and comprehensively. The ability to add clients was entirely missed in the build and iteration (there were multiple 'please check its all done' separate agent runs/checks).

I can imagine in a fully autonomous deployment, in even moderate complexity, even to this day would still occasionally mess up - badly enough to cause non-trivial business issues.

I haven't managed to really figure out what's the best way, but my latest thinking is really having boil down tasks to almost unit operations "add UI button, wire to Api call. End".

Unless the token estimates I get from using Claude are wayyy out, I burn through 5m+ tokens/day, and I'm not doing a lot of time. 500k tokens in a 24h period for $5k of hardware seems quite poor?

Hey I mean we've been using a fairly basic mssql box for years in a organisation of about 300 and it humms along nicely - granted we have 2 'materialised' aggregate tables/views (done in Python) but the TCO is tiny, and there is very little learning curve.

Everyone knows a philosophy comes before a spec. Claude has to write your applications philosophy first, then you write your spec. But a philosophy is crap without a values statement, so Claude has to actually write that first.

I'm really annoyed at github for only allowing export of a single month of usage.

There were a lot of people (here included) that were absolutely abusing github - getting Opus to generate its own subagents for days on end with a single premium request. If THAT'S $3k/mo, I'm honestly not worried.

I was just asking sonnet, 5.4, opus, in single agent session to fix a problem for 20 minutes...if THAT'S $3k/mo, then AI is truly cooked.

I've so far been anti-chinese memory in my recommendations, not because it's Chinese (I don't really trust any big organisation/govt other than the EU?) but because they've been very new, and it's not worth PC stability for saving $50.

However with corsair giving it their blessing, and their technology having matured a bit (a lot?), and more reviews showing good stability (longevity I suppose, is TBD) they're definitely worth recommending these days.

It absolutely is in Australia, and I suspect Europe (from when I went 5 or so years ago). Even mostly possible in Houston when I was there 15 years ago.

The US is even more cooked than I thought if you can get a bunch of fresh veggies from a grocery store.