Then they will leave the huge advantage in cost to the competition, I mean their customers competitors.
Hard to fathom how US companies will not want to use the cheaper option when EU and Asian companies can.
I have deployed very successful LLM based software that reads sales people emails and inserts orders, or stuff akin to orders, in the rest of the systems.
Can you write me a regex that parses a messy human email thread and produces a clean JSON with all the order details?
It's been working for a year with less than 3% error rate, better than what the humans themselves were doing.
I remember an episode of TNG were Riker was instructing the computer to come up with an algorithm to search the surrounding space with certain sensor in a specific pattern, I don't remember the exact words but it was something like a sphere with growing radius with the enterprise at the center.
we now, basically, have that, except for the space ship.
Local? No.
Via opencode Go subscription using GLM mainly? Yes, I still use Gemini/Claude/GPT via api from openrouter for adjacent tasks, I would say 20$ per month max in api token costs.
Disclaimer: I am a Linux infra/k8s guy, I write production code but it's mainly glue code and mainly in golang.
Addendum: most value we get is from "document intelligence" and that's all Gemma and Qwen on H100/H200
Am I missing something or does the author not count the existing revenue to cover the buildout? I think they have it covered even in the worst case scenario (and requiring every piece of cash flow they have).
Also, if Anthropic or OpenAI fail in their revenue requirements I believe they would be absorbed by the guys with the money printing machines (Google, Microsoft and Meta).
I would also add buildah and skopeo to the mix of things that podman does better.
also, podman desktop has better licensing that docker desktop.
podman is modular and as such they could easily change the way they do networking over time, for once it doesn't break iptables and firewall rules by design but rather works together with the security design around these tools.
wait till you learn what the docker socket and the API can do and how container can get access to it.
docker made bad design choices from the very beginning, mainly the API was designed coarse grained and they use a socket to do things, which is also easily exposed through the network you should not run docker on servers but rather use a better designed container runtime, docker rootless is a thing but it's been bolted on the bad design choice.
podman, cri-o, containerd are all better options for servers hosting prod containers.
it's kinda fine when you are using it on your dev machine, but I still rather take podman because I find it cleaner, buildah and skopeo are pretty useful as well.
he rants about the real world being ruined by ai as well, as opposed to just the digital one, then he goes on about needing catering services and, crucially, searching on google for them.
my brother in bbq, why did you not go to a restaurant, a bbq joint, a food truck? that's the real world, searching on google is the digital world.
bad rant, there's many critiques to be done to LLMs impact on the world, digital and real, but to me this guy does not seem mentally equipped to do them.
It works well in finance, that's about it. It makes no sense, as you say, everywhere else where the core business has to do with anything that needs engineering.
quick reminder that out of the 8 author of the seminal paper that arguably started the whole LLM thing (attention is all you need) only one is American.
all the other are foreign born, studied and worked abroad and only then were recruited by US FAANGs.
Embrace and use it to your advantage. Tell them nobody knows and understands how these things will actually work long term, that's why there's stuff like gas town, and that the way you see all of this is you can manage this process. What you bring to the table is making sure it will actually work if the tech is safe and sound, reaping the rewards, or protect the business if the tech fails, protecting the company from catastrophic tech failure, telll them that you are uniquely positioned to carry out the balancing act because you are deep in the tech itself. bonus if you explain the uncertainty framing in the business strategy: "because nobody really understands the tech nobody has an advantage, we are all playing on a leveled field, from the big boys at FAANGs to us peasants in normal non-tech enterprises: I am your advantage here if you give me the tools and leverage I need to make this work". if you play this right you'll get the fat bonus whether the tech actually works or not.
I actually thought it was a decent post. Corporate speech for "we may start to see some real world work being done with this, still gotta figure it out though"