HN user
The first time I saw a giant floating tv billboard at the beach was the first time I felt the urge to sink a vessel. I found it offensive but everyone else seemed to just accept it as normal.
His organization is The Linux Foundation.
That sounds dangerously like your organization has overcommitted to AI, is hemorrhaging money and is squeezing their human engineers to make up the difference.
AI was always going to be geo-politically fragmentary. As soon as we started talking about it like a utility it was clear that every country was going to be strongly limited to the resources it could develop and the infrastructure it could build out. The US and China will still be selling hardware, managing infrastructure and licensing models and yes the domestic market is massive.
The developers of Prince of Persia still talking about the game more than 30 years later seems very bizarre to me. I remember a game called Flashback having very a similar graphical sprite animation innovation around the time PoP was released and I remember it being very fun to play, but nobody talks about it the same way. What's the deal with Price of Persia?
Reading the first few paragraphs of what he calls "the most sophisticated academic social science paper I have yet seen from an AI" does not impress as much as I hoped.
"Posterior beliefs about market demand are purely referencedependent: holding dollars raised constant, they track only performance relative to the founder’s self-chosen goal—jumping half a standard deviation at the threshold, responding steeply for the first ten points past it, and flattening thereafter"
Humans generally don't verbalize data this way. The summary document is also very fluffy.
Gold bars are his top preference.
Now you're arguing against your own analogy? Hunter was ubiquitous position in human society prior to the domestication of animals. 50% of the workforce in hunter-gather societies. Today, 12 millennia after the domestication of wildlife, that number is down to 9-14% of the global workforce dedicated to the production, distribution, processing, sales of meat (not including cooked food) according to opus.
Considering that only 1% of the US workforce was a software engineer I expect similar workforce optimization to occur in software engineering specializations over the next 12,000 years. /s But seriously, it's never going to zero.
We don't need as many hunters because we've domesticated sources of meat. We still need ranchers, butchers... an entire supply chain to get meat to consumers. We didn't remove humans from the loop, we just created specializations.
Software specialization might look very different in 10 years but I doubt that technically specialized humans will be completely removed from their professions. We might not be carrying bows and arrows anymore but we will be carrying the equivalent of a rope and a Stetson.
Languages have been reporting compile and runtime errors for decades. Additionally very few senior developers don't already have their minds wired to spot typos the way copy editors spot bad punctuation. Typos were only really a problem for students.
The capacity of the person prompting it to understand is the threshold they won't cross. They can squeeze the gap as much as possible by dumbing down answers or slowly ramping up information complexity but there is a limit to comprehension.
Glib is called for. The amount of information asymmetry that's still on the table as vibe coders and vibe engineers and vibe doctors emerge is staggering. Professional experience is still incredibly valuable. Most software developers might spend more than 6% of their time coding but no senior developers are banging their heads for hours over typos.
The idea that anything can still be buried in a filling is equally ridiculous
Try loading the models up in a coding harness like Claude Code. There's a few docx skills listed on Vercel's skill index.
When was the last time you used Qwen models? Their 3.5 and 3.6 models are excellent with tool calling.
Good homogenous experience is the hallmark of good design. There are no surprises with good design. It just works the way you expect it to work. Good design should not generally challenge your expectations.
They are clearly straining under new demand and everyone is being served highly quantized models without notice.
Oil producers that weren't disrupted over the last few weeks.
Tests for correctness, self similarity, duplication of concerns, contradictory statutes, edge case detection, cruft or outdated laws that muddy the waters...
If the full compliment of software development practices were applied to legislation and ordinances we would be living in a very different world.
The term for this is ethical consumerism or conscious consumerism, defined as purchasing products that align with moral, social, or environmental values, acting as a form of "voting" with one's money.
Virtue signaling takes place wherever changes in group behavior are required by changes in conditions but calling it just virtue signaling is reductive. People are moving off of US services because of the behavior of the US government and US citizens.
Flash should have transitioned into an authoring tool for SVG + CSS + JS but it just took a knee because so many people hated flash for all of its warts by the time SVG and Canvas moved vector graphics rendering to the browser. Flash was a real pain the ass for most web users and Web 2.0 technologies did kill it.
I think the problem might actually be with reenforcing the red lines. The events of the last few weeks and this new deal only make sense if Anthropic was trying to find out how Palantir and the Pentagon had circumvented their restrictions to attempt to reenforce those restrictions like company actually concerned about the misuse of their product. OpenAI most likely came in with assurances that they wouldn't attempt to reinforce their restrictions.
No. I'm suggesting there should be AI safety regulation to limit how AI can be used by the government. It's new tech and it pays to be cautious and restrict usage in areas like nuclear missile launch and domestic surveillance.
Isn't the story here that the DOD is pressuring Anthropic and others to enable their AI for this specific use and for now Anthropic and others are saying no while the DOD threatens them with penalties.
We desperately need real AI safety legislation.
Doesn't this run into the same bottleneck as developing AI first languages? AI need tons of training material for how to write good formal verification code or code in new AI first languages that doesn't exist. The only solution is large scale synthetic generation which is hard to do if humans, on some level, can't verify that the synthetic data is any good.
In the US they also get scanned and stored.
Given the choice between a 2000 acre banana plantation and 400 bitcoin. I would choose the banana plantation with full confidence that I would get a better return from bananas over the next 20 years.
My advice: There's always at least one crypto scammer telling you to hold through the dip.
I agree. Agentic use isn't always necessary. Most of the time it makes more sense to treat LLMs like a dumb, unauthenticated human user.
Mississippi? I bet it's a flyover state with a tiny sliver of road that sees massive trucking volume.