Follow builders, not influencers.
I was so inspired reading all the DMs on how folks here use ChatGPT Work. Let’s try something else that will make the team smile.
What’s a time you saw ChatGPT have a deeply positive impact on your or someone’s life?
Thankful to 🇦🇷 Argentina for once again giving it all. Grit, passion, talent, faith. To Messi for proving he’s the best ever. And to America 🇺🇸 for hosting such a wonderful event. Enhorabuena tíos 🇪🇸!
Incidentally, I’m very bullish on cybersecurity as one of the best benchmarks for superintelligence. The “IQ test” of software engineering.
The best engineers I’ve worked with in my career have usually had a deep background or interest in security.
It’s actually easy for a model to “one-shot an XYZ clone” and impress people on X. But that’s not a good test.
Finding, patching, reversing, and exploiting require a cognitive skill that transcends programming languages, runtimes, frameworks… It demands true reasoning power from the model and “corner thinking”. Very, very few humans excel at this, let alone in ordinary day-to-day software writing.
Seeing Kimi K3 do so well here bodes well for open models.
gm 🇦🇷 https://t.co/VvmH85aj3m
I love using Claude Cowork to manage my calendar. Here's my prompt for it:
Manage my calendar for the week. Requirements: 1. <20 hours of meetings 2. Dedupe conflicting meetings. Look at past weeks to see what kinds of meetings I decline. Dinners don't count against the 20 hours. Build a skill that you refine. Ask me before updating invites.
What do you use Cowork for?
In a world where there are strong open source alternatives that are only just behind the frontier models, you make yourself less secure and competitive by gatekeeping access to frontier model capabilities.
If you play this out, even if America could fully ban access to open source models, other ecosystems wouldn't have that ban and they'd have a leg up on access to those models. They could use them against us -or just use them to better defend themselves- and our own companies wouldn't be able to keep up.
The calculus of what you do about AI regulation simply must change to account for the fact that open weights models are far stronger than many expected.
A lot of people make the mistake of thinking that when AI costs drop, that spend on AI drops with it. Usually the opposite happens.
When you make AI cheaper, it will get consumed more. Because now you can afford to use for a wider of tasks than you did before. You start to write more code. You review more code for bugs and security. You run agents on large data sets you couldn’t process before. And so on.
Thus, for the foreseeable future, anything that lowers the cost of tokens will drive up inference demand.
This also gives you some insight also into why even open source business models work in AI. No one is running these models on their devices; they’re running them in infra. Great time to be one of those providers.
Good post if you’re trying to understand AI diffusion. Progress driven by AI will ultimately be rate limited by its interaction with the real world.
The reason coding, for instance, has been adopted so quickly is you can write a near infinite amount of code, test it, and run it -and it can add value- without anyone in the outside world ever having to do anything differently. A single person, from a computer, can just make something work end-to-end differently.
This is not true for life sciences, where new drug development eventually needs to be tested for years. Doing a sale, which requires going back and forth with a prospect. Or even a contract, which has to be negotiated on the other side by your counterparty.
“An AI will hand you a genuinely clever design for a jet turbine blade. It might be far more likely to work than anything your engineers came up with. It'll still probably fail, because that's the base rate at the edge of what anyone knows. The only way to find out is to build the blade and try to break it.
That's the real limit on learning, and it doesn't care how smart you are. Coming up with ideas was never the hard part. The hard part is how fast reality answers them.”
Incidentally, this is why you need an applied AI that actually takes intelligence and makes it useful within the workflows of existing industries. Model outputs -alone- are not enough in most cases. You need to actually change the underlying workflows, and you need systems to deal with the realities of the real world feedback loops that are in these industries.
This is why there’s so much opportunity in the applied AI layer.
We need to get used to the idea that code/software can now be disposable
Some examples (all are discarded after usage):
1. Creating design playgrounds/modals for yourself to fine-tune the look and feel of a design
2. Creating HTML pages to help you understand the code
3. Spinning up a throwaway dashboard to inspect something once
Whenever someone asks me "I'm just getting started with posting content on social media; what should I talk about?"
My answer is: What are the top 3 questions that you get asked most frequently by friends/acquaintances/colleagues? Turn those answers into videos/posts. Just say it like how you said it to them in real life. That is your positioning.
If you have repeatedly said something for >3 times, it's worth turning into a video
One of my initial motivations for posting on social media was because I was tired of repeating myself in real life
Yes it just passed some barrier
Have been able to automatically do ~70% of the copy edits we would ordinarily do by hand internally @every for the last week
First time that’s happened and I’ve been trying it for years https://t.co/TgmIoJZWHt
Consumers spend money on food, rent, and entertainment, phone & internet, and shopping. Software is typically bought by their companies. Which is why outside of Netflix, Spotify, etc it’s hard to think of *huge* consumer subscription businesses. https://t.co/OfpzUnpi6e
Let’s go España!
“Thank you for that bath” https://t.co/tIwy2BbhF3
All the aggravation, attitude, fouls, taunting, vulgarity, fans throwing bottles at fans from the opposing team, to produce ZERO shot on goal during the final. https://t.co/YOcdR160r4
🟥 what a moron through and through https://t.co/HI6yWHI1PJ
Really frustrating that a talented team like Argentina is resorting to such dirty tactics..
Like each player is so SO good.
Why all the antics?
Constantly complaining and looking for a foul while playing haramball the entire game.
On a WC final too (sigh)
Vamos Spain 🇪🇸
Renoir paintings you can send to your better half saying “could be us”..
1. you want to ask someone out
2. you’re ready to get married
3. you’re ready to have a kid https://t.co/hFHY79q2pu
On the plus side Codex is helping me fight this battle 🥲 https://t.co/VF1H24H2aW
It turns out that I still have this issue - at 100K+ YT subs and haven't been paid a single dollar by Google Adsense.
The customer support is truly bad. Have to work my Google connections elsewhere... https://t.co/QtfhYdA2h7 https://t.co/gZ3yBVsgyW
2. I don't think the people using ChatGPT Work (e.g., non technical) know what "run this chat in the cloud" means.
On Codex it tells me to send to Codex Web and then I click the link and it just tells me to download the app again?
Copy matters. https://t.co/rYwqCeyu0h