kinda ridiculous how much of modern life now runs through one pocket computer, which now has intelligence built right into it.
comms. relationships. work. money. maps. photos. rent. rides. food. dating. identity. all of it mediated through one small slab of glass.
if you lose your phone for even few hours you basically become a medieval peasant at this point.
A toothpaste company has quietly killed the entire market research industry and nobody is talking about it.
Colgate published a paper showing you can predict real purchase intent at 90% accuracy by simply asking LLMs to roleplay customers.
And this is beyond insane.
If you ask an AI, "Rate this product from 1 to 5," it gives safe, middle-of-the-road garbage.
So researchers invented a method called Semantic Similarity Rating (SSR).
Instead of asking the AI for a number, they asked it to roleplay.
They gave the LLM a demographic profile. They showed it a product concept. And they asked it to write down its raw, unfiltered thoughts.
Then, they used a semantic model to translate those written thoughts into a numerical score.
The results are staggering.
Tested against 57 real corporate surveys and 9,300 actual human responses, the synthetic AI consumers matched real human buying behavior with 90% reliability.
They perfectly mirrored how different age brackets and income levels react to price changes.
And they provided detailed, qualitative feedback that was deeper and more critical than what actual humans wrote.
This destroys the economics of traditional market research.
You don't need to wait a month to see if a product will sell.
You can simulate 1,000 hyper-targeted customer interviews overnight.
You can A/B test pricing across every demographic instantly.
in today's keynote, apple produced this really interesting graphic that ironically outlines the core mechanics for a new type of operating system (for perhaps a new class of devices).
you can see how this moves the world from an app based ecosystem to an intent centric world.
i.e. you roughly do not need third party applications in this world at all esp when ai has the ability to construct & deconstruct interfaces / experiences on demand.
building & iterating or even using a model feels less like engineering & more like taming a wild animal. or maybe a dragon or something.
i.e. you don’t really control it. you obviously train it, you observe it, you maybe provoke it, ofcourse reward it, contain it (safety), then you slowly learn its temperament. you do this with new pets too. but this is all with insanely large levels of intelligence.
one very large difference is that the model also starts to *trains you*.
A 2024 Japan Tourism Agency survey found that 11.8% of inbound visitors cited anime or film locations as a reason for travel. The practice, called seichi junrei or pilgrimage to sacred places, now sits inside a 700 billion yen otaku market driving regional branding strategy.
New York officially has become the first US state to mandate disclosures for AI-generated people in commercial advertisements, effective June 9, per ABC
Bloom (@trybloomai) is the brand layer for agents. It turns your brand into infrastructure that any agent can call to produce on-brand assets.
Congrats on the launch, @rincidium!
https://t.co/0qDEfQ05QC
Primary care twice a year vs. vitals 22 times a month.
@caltchek on why that data gap is the difference between catching a stroke early and long-term rehab, or worse.
LINKS:
Spotify:
https://t.co/UQ2QY3gDWX
Apple:
https://t.co/Mi2MLLbYia
Youtube:
https://t.co/BrR6pSy7zg
@lessin What's crazier is the revolts that are happening against Big Tech in South Korea. There's a Bloomberg article that I'm going to link to about it.
I know it's not The Information, but it's a super fascinating read.
https://t.co/kCfoOBfdLm
@signulll I wonder why we didn't put Meta on this chart, because I think it'd be interesting to see where they're at today, but then also how closely they will be related to these companies in head count within two to three years.
An agent-native idea farm for capturing live writing ideas.
Codex checks Slack, my local workspace, and our conversations, scores potential content for whether an idea hits my signature moves, and develops ideas into full-blown pitches I can share in Slack as they mature.
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