This technology is going to drive some incredible discoveries in all of STEM. The robber barons and monopolists tend to come out of the woodwork when incredible technologies emerge. It just sucks that we still haven't evolved them out of society.
This technology is going to drive some incredible discoveries in all of STEM. The robber barons and monopolists tend to come out of the woodwork when incredible technologies emerge. It just sucks that we still haven't evolved them out of society.
The thing is they don’t control them anymore, governments do by and large now, so a lot of the issues that came with their ownership and special privileges no longer exist. There is no way that is how this is going to go down with Google et al
All of the class 1 freight railroads in North America are privately owned.
BNSF
Canadian National
CPKC
CSX
Norfolk Southern
Union Pacific
No it won't. Natural language manipulation is never a bottleneck in STEM.
https://www.newscientist.com/article/2527564-mathematicians-...
https://www.forbes.com/sites/anishasircar/2026/04/17/ai-solv...
We could do without them.
But the argument is always the small percentage that get medical treatment. Never the millions who get sick.
"We could do without them." is not a great take when it comes to people dying prematurely.
In fact, I would bet that this particular technology will lead to climate change solutions eventually. If nothing else, it will drive an energy revolution in either nuclear or solar power. Probably too late to solve the AMOC collapse, but mitigation is still in play through science.
Good lord!
I hope somebody is documenting all these bombastic LLM-related public statements. They're going to be a neverending source of cringe and laughs for the next 50 years.
(I've heard one C-level dude say with a straight face that LLMs were a "more significant invention than writing".)
>I hope somebody is documenting all these bombastic LLM-related public statements.
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This has been in use for awhile.
https://academic.oup.com/bib/article/26/3/bbaf263/8158336
https://pmc.ncbi.nlm.nih.gov/articles/PMC12970898/
How it gets used: https://mlconference.ai/blog/ai-in-vaccine-development/
Also, you're confusing "AI" and LLMs.
I'm a DevOps engineer, not a C suite guy, but I tend to agree with you in general. I think there is a lot of smoke being blown into the hive around this technology but having used it extensively, and having witnessed its progression first hand in engineering, these tools are insanely useful and have made giant leaps forward in just ~4 years.
Don't know if you're a believer in Moore's Law or not, but I don't think your tune is going to take anywhere near 50 years to change. I'd be surprised if it took 5 years.
Uh huh..
https://theconversation.com/a-man-used-ai-to-help-make-a-can...
That they "speed everything up" would be a great reason to get rid of them or constrain them.
The lack of compassion that people display here is shocking to me.
"Don't automate science, because there are junior scientists could be denied the thrill of specific discoveries."
Cancer patients are not accessories to anyone's self-actualization.
At least until the maniacally evil train ownership debacle was better organized to prevent such harm in their core application.
And so I thought it was a reference to the overall AI psychosis, FOMO, and dopamine marketing. That is the big impact that bothers me, regardless of whether this deployment uses massive new datacenters. It is a toxic social impact even if it somehow reduced atmospheric CO2 with every token.
We need to be very careful here, or we're going to throw the baby out with the bathwater.