> If the open source community can come up with something like this, just imagine what governments are capable of.
Since ~2022 and accelerated by the Russian aggression against Ukraine, governments are now behind both private and open source for frontier technology.
The companies that captured government contracts in the last century can’t move fast enough to bring tech into the government and national technology policy and funding is collapsing compared to the private sector
I’m not sure I ever met a “DevRel” or similar person that didn’t eventually just come out as the “good cop” sales rep while the “bad cop” sales rep is negotiating with the CFO.
Even the ones who didn’t actively push whatever company they worked for like a commission based sales person, the only reason they are in the room in the first place is to support whatever company technology they work for. I always found it to be a bit gross of a job.
For the set of [all tasks humans can do] there is a subset of [things automation can do at equvalent or better error rates].
And that’s the baseline the baseline is not some platonic ideal that is never reached the baseline for a business operator is cost per delivery /error.
The idea that existing human systems are optimized or otherwise “not broken”, is the key fallacy that people keep making.
That is the entire industry of business consulting.
Boston consulting group Bain and MacKenzie make billions of years completely making shit up. same thing with Ernst and young and any of these organizations that make these “future of (insert market)” reports
The entire purpose of automation is to remove a capacity limited human from a continuous workflow because the workflow is more capably achieved with fewer errors than the human
I’ve been peripheral to these systems and yes they are pervasive even in “mom and pop.”
Increasingly they are pushed for insurance purposes to automate “loss prevention” and make it auditable and also help build cases.
If the question is how do you get away from surveillance the answer is “you don’t anymore” unfortunately.
At this point it is pervasive and there is no way to avoid it. I’ve been extremely close to surveillance systems my whole career and it’s to the point where if somebody wants to completely surveil you 24/7 they can do it very easily for very little money
Maybe I’m rare in that what you describe is literally how I’ve always done it, but are there more people getting groceries delivered than shopping in store now?
> The author is pretty obvious and exhaustive about what he means by "losing": AI capex bubble is unsustainable, AI revenue is circular, no meaningful AI compute demand outside of OpenAI and Anthropic, AI products are mediocre at best (and still heavily subsidized, at that), AI is causing various mental health crises, OpenAI lost $20.9 billion on $13 billion in revenue in 2025.
So then it’s just profitability modulo “various mental health crises”
> Well... again, I'm giving the LLM total freedom to destroy what's there and start from scratch
Why would you use it like that as a default?
Like the first thing you should do when talking to an LLM about a project is to have it discuss exit criteria, scoping, rules, and managing the smallest thing to ship to get iteration started
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