Patrick Paumier @patrickpppp

On macOS and wanna see something interesting? Ask your agent: "look at ~/Library/Application Support/Knowledge/knowledgeC.db and tell me some interesting facts" I had no idea this stuff was all getting logged and it can infer a lot about your activity.

@Dimillian will the Build for iOS pages and plugins still work with iOS 27 ? github.com/openai/plugins…

> people on X : "Astra feels so more natural to speak to" > codex : "Read Unslop skill"

@EmanuilIvanov72 @alojohhardcore @alojoh your bio still has "TSLA long" :-D

@reach_vb @petergyang thanks. i always wondered that myself

@simonw for me ChatGPT Work has a more beefy sandbox environment , long horizon tasks usually feel to have more fleshed out results

@starter_story "if it's really nice outside, that also revolves in why I only work two hours some days" > bro , don't come to 🇪🇸 , no work would get done any day 😄

@thsottiaux Small ChatGPT Work inconsistency I noticed: On the web, when a scheduled task adds a new response to an existing thread, the UI shows the date/time when each task run happened. In the desktop app, those same scheduled-task messages appear in the thread, but the run timestamps are missing. For long-running threads with recurring tasks, those timestamps are really useful for understanding which output belongs to which run. Would be great to have the same rendering on desktop.

I just reserved my Cloudflare Wallet tag: patrickp.cloudflare.pay. Reserve yours now at cloudflare.pay

Ursula, Microsoft @satyanadella alone spent more than that just in the last quarter and will be spending a multiple of that over the next two quarters.

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57 years ago

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AI closed 90% of your support tickets. you released 10 new features this month but barely have any usage metrics yet to validate them. what now? the bottleneck is now the organizational culture. most orgs are now sitting on an unexpected surplus of capacity, and don't know what to do with it yet. a lot of the software org culture is still based on "the old days", when work was slower, planning took weeks and development took months. so culture was optimized to do things as fast as possible, as close as possible to "right" on the first try. the immediate response from orgs to AI, in most cases, has been to keep the exact same approach and processes - just do the same thing, faster! the problem is planning can't catch up. work planned for the whole quarter is done by the first month, and planning for the next quarter is still half baked. a lot of people, myself included, have asked: "so... where is all the new software that AI is building?" I think this question is mostly answered by the fact that most organizations, so far, aren't producing much more software. they're just producing the same thing, faster. so the remaining time they are either wondering what's up, doing internal politics, or just cutting half the engineering team because it's "superfluous". the culture in software must adapt and switch mindsets. the edge is not anymore in producing the same with a smaller workforce. the edge is in leading the same workforce to produce MORE.

@levelsio @levelsio

2 months ago

More interesting things happening in how AI is radically transforming things this month but now in tech hiring, very interesting

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@HedgieMarkets they got the idea after reading Fahrenheit 451 from Ray Bradbury ?

youtube.com/watch?v=KOpTWx…

@LinusEkenstam Warcraft II

is the Kimi3 release yesterday connected to AI stocks dropping ? imagine if Kimi team reveals they trained it on Huawei chips 💥📉

@OpenAIDevs @work_louder can’t believe i was already dreaming about this in 2025 😄 x.com/patrickpppp/st…

Patrick Paumier @patrickpppp

a year ago

throw away your keyboard & mouse, enter The PromptPilot™ ( but seriously, would you buy something-like-this ? ) The PromptPilot™ is a thoughtfully crafted desktop device that reimagines the way users interact with Large Language Models Inspired by the intuitive utility of the

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Daniel reveals how he bought his $220,000 dream G Wagon with kids channel on YouTube Jack: “What's the craziest way you've made money on YouTube?” Daniel: “I just wrapped up running a channel around like 3 weeks ago for a new YouTube video I made. Essentially, the YouTube video was getting one subscriber equals $1 I can spend on my dream car. And so, I needed to get 220,000 subscribers to buy my dream car, which was a G Wagon for $220,000.” Daniel: “Basically, I ran this channel called Verusi. The videos were kids videos, and we would take these Russian creators' videos, they would make like really funny skits for like 5 year olds and we would put a voice over over them pretty much documenting what was going on in the video in the most 2 year old voice possible with the most simple wording possible.” Daniel: “I bought a pre monetized channel, which essentially meant that I bought the channel with already monetization enabled so that from the first video, we could generate revenue. Second video, 5 million views. Third video, 4 million views.” Daniel: “In the middle of the video, we would abruptly stop and we would be like, 'Subscribe if you want a pizza, like if you want a tomato, comment if you want an apple, and do all if you want your family to like live forever or some shit like that.' It was like really, really, really like brain rot, but it worked so well. We were getting like 100,000 subscribers a week.” Daniel: “I essentially realized that little kids don't have their own devices. They use their parents' devices to watch content. And so when a little kid is using their parents' device to watch a video, their parent is registered as a 30 or 40 year old. And so our entire audience demographic was 80% USA 40 year old viewers. And YouTube would essentially think that these are high trust advertisers.” Daniel: “We essentially tricked YouTube because getting kids to watch videos is super easy. It's not that hard. And our RPM was like 35 cents per video. And in the first week of that channel, we made $4,000. We paid an editor, I promise you, $5 per video. So, for a week, we uploaded seven videos. It costed us 35 bucks and we made $3,000 in our first week and got 150,000 subscribers.” Daniel: “I basically got 220,000 subscribers for the video, bought my car, and in the process made like $6,000 on that channel.”

@SimonHoiberg impressive. I could do it, but I rather enjoy the long walks to disconnect :-)