To avoid CRAZY SaaS charges. I left a comment further down about how the challenge is first getting a reliable stack running underneath whatever ends up being fast-coded. The trend will be more decentralization - I think that'll be AI 2.0. Increasing centralization is AI 1.0.
"This entire stack could give you computing power equivalent to a 25k euro/month AWS bill for the cost of electricity (same electricity cost as running a few fridges 24/7) plus about 50k euros one-time to set it up (about 4 Mac Studios). And yes, it's redundant, scalable, and even faster (in terms of per-request latency) than standard AWS/GCP cloud bloat. Not only is it cheaper and you own everything, but your app will work faster because all services are local (DB, Redis cache, SSD, etc.) without any VM overhead, shared cores, or noisy neighbours."
Makes me think there will be these prompts like "convert this app to suit a new stack for my hardware for locally-optimized runtime."
How are people building the best local stacks? Will save people a ton of money if done well.
"There's clearly a way to leverage these tools to turbocharge your productivity, like at least 2x or maybe even 10x. But what is it?"
Many will keep it a secret, a few will share, the remainder will turn it into a product. You could spend hours on HN and find best practices floating around. At some point a product will come along and equalize everything.
I don't think people mean to keep it a secret. It took me literally 2 hours to type my answer, because it's deeply ingrained as muscle memory and habit. It's probably much easier to explain in a two-way call, or better yet, a class.
Much of the time people don't even appreciate these answers; they get angry because what they really wanted to hear was that it's impossible.
But sometimes it's useful to rephrase thoughts and put it out for criticism.
If that article is to be believed, there are organizations that are really working well in the areas of "Design Engineering" and "Context Engineering." It would be worthwhile aiming to work at one of those firms, if it is difficult to get to 10x productivity alone.
There's also probably going to be a new area of management consulting helping firms get to that high level of AI integration - could be a few years out, though.
I am thinking now a new type of organization could also arrive, like a Palantir 2.0.
CEOs will outsource their entire IT function to it after firing a lot of their staff. Also startup CEOs will sit down with a hologram and tell it what they want to do, and why they think they are uniquely positioned to execute on their vision compared to other humans in their field. The robot/hologram may end up working with a few humans in the same area, creating competition between them, but will eventually aim to drive them all to the ground in the end, like HAL.
But companies should be much more careful about where they host their "proprietary" code. Maybe some companies will start inventing their own languages and keep it in-house? Groups of companies may aggregate around their own AI? Why not groups of developers?
I shelved a music/entertainment/ticketing/touring startup from 15 years ago, built with Django that launched but never got any real users, as I put it on hold to focus on other things (crypto.) Perhaps people should look at working with multiple startups simultaneously and sticking with the one that takes off. If you got 10x productivity tomorrow, how are you going to leverage that? I like the idea of skipping equity and just have portions of revenue be returned to staff in real-time... "shortening the incentive-loop." https://news.ycombinator.com/item?id=46882238
Because 10x productivity not only f$$$$$ average developers, it f$$$$$ investors to, right?
Interesting stuff about monofills and green concrete here [1].
Leaching is the big issue. Recycling solar panels is going to keep getting more important. Maybe if there was a way to lock-up the metals with additives [2], or make everything a mushroom substrate?
"Mycologists estimate that we have only catalogued about 5% to 10% of the world's fungi." There's probably some solutions in that world. [3]
"The Universal Commerce Protocol is now letting U.S. shoppers buy items from Etsy and Wayfair, from within Google’s AI Mode in Search and the company’s Gemini app"
I wonder if they'll be new coins coming out centered around this protocol or around specific commerce-oriented AIs or agents?
Also, it sort of makes putting ads in chat windows less enticing if direct sales can be generated in them instead. Revenues through commissions or a new "shopping coin" pre-mine.
Hosted on premise for enterprise, VPC for mid market customers. For enterprise customers, FDE model makes most sense for a product like this and they would assist with implementation and training. For mid market customers, I'm still exploring options to make it cost effective.
For domain-specific optimization, the value is in the solver integrations, specific constraints that form the seed, and the modular simulation that powers the visuals. The software is monetized, not the services around it.
> How will you stop LLMs from recreating it?
Having worked this space for a while now I think there are two ways to ensure reliability (the real moat here), first is going deep into five-six problems that are complex enough that out of box solutions/simple prompting don't work well. Second, tightly coupling a simulator to provide rapid feedback that actually helps change manage and solve the "people" problem when optimizing operations.
Sounds interesting. Are you not going to use the .ai domain? I also like asco.1 and asc.oo
Anyhow, is the scope centered around intra-firm supply chains? What happens if you have one firm suggesting to one of their partners to use the service... can you provide additional features if they work on the same platform? Perhaps they could agree on information to share with each other? Maybe you could have crypto payments tied in somewhere for inter-trade and eventually working toward a Logimodel marketplace - but I presume that's not really in the vision.
Thank you for your kind words! Your marketplace idea definitely sounds interesting to me, if not for payments, it would definitely provide a way to improve visibility through easier data exchange due to a common platform.
- having a handheld that moves away from Android, but can also be used as a phone on-demand. That is, being able to turn off the telco signal. https://news.ycombinator.com/item?id=46700907
- having a crypto wallet with a "kill switch" in the event of coercive standover. Could also have a surveillance switch as well. eg see Mockingjay in this thread.
"for the geeks, by the geeks and of the geeks"
Really it should/could be for the plebs and anyone with a half a brain.
Not mentioned was ai.com's superbowl ad and subsequent launch to build "a decentralized network of autonomous, self-improving AI agents that perform real-world tasks for the good of humanity."
I guess that at some point the chat window will tie-in with agents. People will never leave the front page. It'll say something like: "would you like me to buy that product for you?" and then some crypto function will come in and handle the finances. So the power 5:
chat window (inference)
agents (platform)
transaction (blockchain)
superbowl ad (marketing)
"leveraged" personal device (access)
That is a massive opportunity.
The other important area is cooperative training: that's the overlooked part here on HN - don't ask what AI can do for me, but what can I do for AI? Previously, I've mentioned training on human conversations at parties, getting daily recaps from an AI bestie and x402 paywalls with update pings.
How often can information be recycled? It's about being new, unique and knowing the source. Everyone wants to be a step-ahead including the AI. AGI needs humans to help.
With that in mind, why does ai.com require Google to sign-up?!? They should now be in competition, right?
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