When I say LLMs are good at writing code that they're bad at modifying, no matter how we prompt, this is what I'm talking about.
Note also how problem completion rates never get even close to 100% under any conditions. I've never seen it, either. I suspect nobody has.
This is that "Fool's Errand" I've been talking about.
copilot is just for entertainment? Per the TOS...
Highlighting is my own. From that last boost.
https://www.microsoft.com/en-us/microsoft-copilot/for-individuals/termsofuse
IT'S HAPPENING
GITHUB, THE FIRST ENTERPRISE CLOUD SOLUTION TO REACH ZERO NINES RELIABILITY
With pleasure we are announcing a new Embeddable Common Lisp release:
ECL-26.3.27: https://ecl.common-lisp.dev/posts/ECL-26327-release.html
Whatever the hypesters may tell you, LLMs do NOT reason. Given two conflicting versions of a story, they’ll go for the one that is repeated more often. The sequence of tokens representing a false narrative is – if the astroturfers have done their job right – statistically more probable than the sequence representing a factual account, so it's the false narrative that will get coded into the model and trotted out on demand.
2/
LLMs are essentially gullible. And many people, even otherwise smart people, are gullible enough to believe that "AI" distillations of facts are trustworthy. It's a problem of gullibility compounded. But there's also an entire industry that's devoted to trying to convince us NOT to be skeptical of AI, not to see it for what it is -- an often-naive statistical model that can and will increasingly be gamed by bad actors.
6/
I put up a new blog essay, The Tedious Pained, a defense of the legitimacy of technical & social critiques of "AI" tech, even as positives are claimed. Positives don't cancel negatives, in other words.
Well, it's only new if you didn't see it as a comment on someone else's post a bit ago at LinkedIn. This is me just giving it a better placement and a name for later reference. And perhaps a wider audience.
https://netsettlement.blogspot.com/2026/02/the-tedious-pained.html
#AI #LLM #LLMs #SocialCost #critique #ethics #AIEthics #tech #technology #harm #society #politics
Jason Gorman
Keith
abadidea
Daniel Kochmański
Angus McIntyre
Manon
Kent Pitman