harper 🤯

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harper 🤯

harper 🤯

@harper

A normal person doing normal things. I take photos and operate computers. Books are my friends. he/him.

[email protected] Katılım Temmuz 2006
1.4K Takip Edilen34.5K Takipçiler
harper 🤯
harper 🤯@harper·
@ipivto The immediate one is having it call restaurants to check availability.
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Ilya Pivto
Ilya Pivto@ipivto·
@harper can you share an example of what your friends are doing with openclaw?
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harper 🤯
harper 🤯@harper·
I am noticing a really interesting trend: my friends who are not technical are getting much further with open claw (etc), etc than my friends who are technical. it seems that the ability for us to imagine the limits is artificially causing limits that are not there for folks who are not imagining limits. have you seen the same thing?
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Kate
Kate@withkate_·
This is part of it, but typically, the more technical you are, the more concern you have around data privacy & security. Less technical = more throwing caution to the wind. In some ways it feels like they’re leaving the keys on the counter & the doors unlocked, just hoping no one bad comes inside.
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DaveLevine0com
DaveLevine0com@DaveLevine0com·
@harper I am non- technical and find it difficult to get things done. I feel like if I was a developer I could use openclaw more effectively.
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juust
juust@juust·
@harper Anyone can go 300mph with a Lambo. It is fun while it lasts, just don't do it in normal every day traffic.
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gaut
gaut@0xgaut·
he's become fully reliant on LLMs to code. now increase the price by 1000%
gaut tweet media
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harper 🤯
harper 🤯@harper·
@Prospectus Yea. there is something about the beginners mind that allows them to open doors that the experts find shut.
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Prospectus
Prospectus@Prospectus·
I’ve seen people who are not discipline experts making different requests and getting further than some who are since they don’t always have a decision making framework to rely on. There seems to be a productivity distribution here, where total ignorance is bad because you get nowhere, total expertise can be bad since you tend not to ask questions outside of boundaries you already have mentally installed, and the middle is where AI is the biggest force multiplier today
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Niko McCarty.
Niko McCarty.@NikoMcCarty·
About a decade ago, many people in Chinese stopped believing that chickens marketed as "free-range" were legit, because some unscrupulous suppliers tried to pass off bad chicken as premium, leading to small disease outbreaks. In 2017, a Chinese company called GoGoChicken began sticking ankle bracelets onto all of their newly-hatched chickens to track their locations (via GPS), daily steps, the local air quality, and more. These data were logged onto the blockchain (for no apparent reason other than "credibility.") When these chickens were slaughtered and packaged, the company included a little QR code on the label. Consumers could scan this label and see details about that particular chicken; where it was raised, what it ate, number of daily steps, and when it was slaughtered. These chickens were profitable, selling for up to $43 each. The technology expanded to more than 400 farms, but the company eventually went out of business for reasons that are unclear to me. (The company also pitched an idea to allow people to buy their chicken four-to-six months before slaughter, so they could follow its life and remotely watch the animal as it grew up. Strange.) Yes, this is literally a plot from the first episode of the TV show, Portlandia. But it is also a real story, well documented in the book "Blockchain Chicken Farm" by Xiaowei Wang, which is itself a collection of strange stories about technology adoption in rural parts of China. Recommend.
Niko McCarty. tweet media
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Kevin Rose
Kevin Rose@kevinrose·
I truly don't know anyone that is having more fun or shipping more code than Matt right now. Every time we chat, I'd say about once a week, he has ten new ideas. LG!
Matt Van Horn@mvanhorn

Introducing the Printing Press, a CLI-factory and a CLI-library. Built with @trevin. 🏭🖨📚 Most APIs suck for agents. Most MCPs suck for agents. Most official CLIs suck for agents. They waste tokens and time. @steipete started making his own because of this. 📚 A Library of agent-native CLIs you install today (Linear, ESPN, Flight GOAT (Google Flights + Kayak nonstop), Contact Goat (LinkedIn + Happenstance + Deepline more) +30+ more) 🏭 A factory that prints new ones for any service - just type /printing-press CLIs are fast, local, SQLite-backed. Work in Claude Code, Codex, OpenClaw, Hermes. 🌐 printingpress.dev

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Matt Van Horn
Matt Van Horn@mvanhorn·
Introducing the Printing Press, a CLI-factory and a CLI-library. Built with @trevin. 🏭🖨📚 Most APIs suck for agents. Most MCPs suck for agents. Most official CLIs suck for agents. They waste tokens and time. @steipete started making his own because of this. 📚 A Library of agent-native CLIs you install today (Linear, ESPN, Flight GOAT (Google Flights + Kayak nonstop), Contact Goat (LinkedIn + Happenstance + Deepline more) +30+ more) 🏭 A factory that prints new ones for any service - just type /printing-press CLIs are fast, local, SQLite-backed. Work in Claude Code, Codex, OpenClaw, Hermes. 🌐 printingpress.dev
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Jane Manchun Wong
Jane Manchun Wong@wongmjane·
Last week: White House condemns Chinese AI labs for alleged distillation attack This week: Elon admits under oath that xAI distilled OpenAI models to train its models 🫣
Jane Manchun Wong tweet mediaJane Manchun Wong tweet media
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🏴‍☠️
🏴‍☠️@calvinfroedge·
Profile created before Trump is elected. Only post is the name of Trump's attempted shooter last night. Banner is from a European "time travel" project that focuses on "4d simulations" of past, present and future. The profile name is a NASA employee who worked with the shooter.
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Henry Martinez@HenryMa79561893

Cole Allen

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Janerius Wickerson
Janerius Wickerson@TheMSeries1·
No amount of words can convey how far behind this country will be in every avenue for a number of years because of this administration and everyone associated with them with stuff like this happening.
Pubity@pubity

Donald Trump has fired the entire National Science Board, all 24 members, all at once. The board was responsible for deciding which scientific projects America should pursue and helping to direct the nation's technological future.

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