@vavvolo.bsky.social
Reposted
this is similar to what I've come to think of as the "reverse turing test"
when people find synthetic text is "good enough" to complete a task (homework, business report, email) it doesn't mean the machine is smart. it means they were asked to produce something that didn't matter
it's diagnostic
when people find synthetic text is "good enough" to complete a task (homework, business report, email) it doesn't mean the machine is smart. it means they were asked to produce something that didn't matter
it's diagnostic
So similarly, when we see people who prefer ChatGPT or a similar synthetic text extruding machine as a source of medical information, that means those are people who are under-served in the current system.
December 9, 2025 at 3:57 PM
this is similar to what I've come to think of as the "reverse turing test"
when people find synthetic text is "good enough" to complete a task (homework, business report, email) it doesn't mean the machine is smart. it means they were asked to produce something that didn't matter
it's diagnostic
when people find synthetic text is "good enough" to complete a task (homework, business report, email) it doesn't mean the machine is smart. it means they were asked to produce something that didn't matter
it's diagnostic
Reposted
🧵 As we figure out what role LLMs and Gen AI systems will play in developing software, I await with interest actual experience reports, such as this one:
(> next)
(> next)
December 9, 2025 at 2:51 PM
🧵 As we figure out what role LLMs and Gen AI systems will play in developing software, I await with interest actual experience reports, such as this one:
(> next)
(> next)
Reposted
it's the classic programmer trap: just because something works in our domain doesn't mean it will work in other domains! "how hard could it be, it's only rocket science" etc
the sheer hubris to think that a robot that is 80% right will be good enough for other, less fault-tolerant domains.
the sheer hubris to think that a robot that is 80% right will be good enough for other, less fault-tolerant domains.
Three years into the generative-AI wave, demand for the technology seems surprisingly flimsy
Investors expect AI use to soar. That’s not happening
Recent surveys point to flatlining business adoption
econ.st
November 29, 2025 at 11:25 PM
it's the classic programmer trap: just because something works in our domain doesn't mean it will work in other domains! "how hard could it be, it's only rocket science" etc
the sheer hubris to think that a robot that is 80% right will be good enough for other, less fault-tolerant domains.
the sheer hubris to think that a robot that is 80% right will be good enough for other, less fault-tolerant domains.
Reposted
Headline: "AI can replace 11.7% of workforce"
Actual study: Anthropic paid MIT to use a "labor simulation tool" that said 11.7% of TASKS could be done by AI
Actual study: Anthropic paid MIT to use a "labor simulation tool" that said 11.7% of TASKS could be done by AI
MIT study finds AI can already replace 11.7% of U.S. workforce
Artificial intelligence can already replace 11.7% of the U.S. labor market, across finance, health care and professional services, according to MIT's study.
www.cnbc.com
November 29, 2025 at 9:57 PM
Headline: "AI can replace 11.7% of workforce"
Actual study: Anthropic paid MIT to use a "labor simulation tool" that said 11.7% of TASKS could be done by AI
Actual study: Anthropic paid MIT to use a "labor simulation tool" that said 11.7% of TASKS could be done by AI
Reposted
I don’t know if anyone else notices or cares, but when I see a presentation in which the speaker uses obviously generated-AI images to illustrate their slides, it makes me immediately less confident in whatever other content they’re presenting.
November 28, 2025 at 3:07 PM
I don’t know if anyone else notices or cares, but when I see a presentation in which the speaker uses obviously generated-AI images to illustrate their slides, it makes me immediately less confident in whatever other content they’re presenting.
Reposted
<rant> A periodic reminder that Sprints, Backlogs, Daily Scrums, Scrum Boards, Scrum Masters, Product Owners, Points, Velocity, PIs, etc., have NOTHING AT ALL to do with "Agile." Agility comes from working small, delivering frequently for feedback from actual customers, and adapting based on
1/3
1/3
November 15, 2025 at 7:00 PM
<rant> A periodic reminder that Sprints, Backlogs, Daily Scrums, Scrum Boards, Scrum Masters, Product Owners, Points, Velocity, PIs, etc., have NOTHING AT ALL to do with "Agile." Agility comes from working small, delivering frequently for feedback from actual customers, and adapting based on
1/3
1/3