Geek, Hacker, problem solver, X-Head of Engineering @Discord, forever curious (https://xitter.cf/t.co/KEx2E0xBM5)
San francisco, CA
Joined January 2011
- Tweets2.7K
- Following540
- Followers746
- Likes184
Someone pointed out an uncomfortable thing about scaling expertise with AI on a flight back home last night: the expert can start moving away from the thinking/interactions that made them better.
When AI handles routine interactions, humans miss the weak signals that used to help them evolve their methodology.
Automation can preserve expertise, and also stop it from evolving.
My answer to this deliberate preservation of learning experiences. Define your boundaries and your touch points, and then guard them fiercely.
Prachi Gupta retweeted
I'm starting a podcast, "Confession," where I invite tech veterans to share their painful lessons.
We all connect through shared pain. Hear founders & CEOs like Satya Nadella (Microsoft), Dara Khosrowshahi (Uber), Luana Lopes Lara (Kalshi), and others share their stories and lessons learned.
Subscribe to Confession on...
✅ Spotify: open.spotify.com/show/6x2J7r…
✅ Youtube: youtube.com/watch?v=sd5spHYX…
✅ Apple: podcasts.apple.com/us/podcas…
@SatyaNadella @Dkhos @luanalopeslara
Building an AI product around a human methodology taught me that the hard part isn’t encoding the framework. It’s encoding the exceptions.
Experts know when their own rules should lose.
Miss that, and AI doesn’t scale judgment. It scales dogma.
I noticed you haven’t viewed this scheduled task in a while. Would you like me to keep it running?
TFW you find some cool deep tech article to read, bookmark it for later, but by the time it's later, it's already stale!
What crazy times are we living in...I am exhausted.
The most useful distinction I’ve found when evaluating AI features is this:
Does the user want an answer, or do they want help thinking?
Those look similar in a demo. They create completely different products.
Answer products optimize for speed and correctness.
Thinking products have to preserve uncertainty long enough for the user to discover something.
Hot take: the coding agent may end up being free.
Not because inference will trend towards free over time, but because it creates downstream demand.
The more agent-written apps drive downstream inference usage, the more cloud platforms would want to subsidize the tool and monetize the workload it generates.
When AI Makes Coding Cheap, Architecture Becomes the Bottleneck linkedin.com/pulse/when-ai-m… via @LinkedIn
I’ve started pushing my team to be much more aggressive about deleting old code and compatibility layers.
My reasoning: dormant code isn’t really dormant anymore. AI makes it cheap/accidental to keep discovering edge cases, vulnerabilities, and weird interactions in paths nobody actively owns, cares about or is even exercised in prod.
So “leave it alone because it works” is becoming a recurring maintenance cost.
AI will and should allow companies to start far more projects than they do today.
Not because PMs are suddenly prolific deep thinkers, but because the time/cost of building a "painted door" is approaching zero.
Strong teams won't be identified by their ability to start things, they’ll be identified by their discipline to stop them.
The highest leverage product skill will be killing plausible ideas before they accumulate users, dependencies, and political constituencies.
AI is lowering the cost of writing code much faster than it’s lowering the ease of making sound technical decisions.
The number of startups that have shown me their sub-optimal code is mind boggling.. security holes, bad data models, slow page loads, terrible architecture is everywhere.
Don't skip the hard parts and first principle thinking you all. Reading a book once in a while still matters.
Hot take: the AI assistant market is going to get very boring.
Everyone has the same models.
Everyone can add memory.
Everyone can build a decent chat UI.
The moat always was, and is increasingly going to be: whose judgment is inside the product?
Prachi Gupta retweeted
lol did nobody at Anthropic stop for a second and wonder why the numbers looked this absurd before posting the “victory”-tweet?
openai.com/index/how-two-set…
Prachi Gupta retweeted
This looks really impressive!
It's time to get out of stealth 👋
Today, we are launching @monogram_ai and announcing our $40m seed round led by DST and Lux Capital.
Monogram is the first AI app that was built around a visual interface, from the ground up.
We created a technology that generates an entire user interface on the fly, in just a few seconds. Ask anything, and instead of staring at a wall of text, you get an interactive visual response.
Prachi Gupta retweeted
Code.org is changing its name.
13 years ago, Code.org launched with a simple idea: every student should learn computer science — to learn how technology works and how to create it — not just how to use it.
After more than 2 billion hours of learning, the focus of CS has moved from coding to AI. As AI reshapes every part of daily life, students need digital fluency: the ability to understand AI, direct it, question it, and create with it — built on the foundations of computer science, AI science, and data science.
Today, Code.org enters its next chapter as CodeAI.
Our curriculum, teacher training, and frameworks, are there already: AI Discoveries and AI Foundations are free and in classrooms now. The K-12 digital sciences pathway is expanding.
Our goal is a generation with agency over the systems shaping their lives — prepared to shape the work, civic life, relationships, and meaning that come after.
Welcome to CodeAI.
As both an investor and a patron of Payam I can vouch for the efficacy of the program. My son has been taking piano lessons for 2 years, and within one week of switching to Payam, his music sounded completely different. Highly recommend!
After 2 years in “stealth mode”, we’re finally sharing about Payam Music, starting with my role:
I met Payam when he was running a small local piano school, and I saw its transformative impact on students, starting with my own son, Darius.
The Payam Method works wonders, as we hear over and over from parents and in online reviews. It has just the right mix of elements to make students fall in LOVE with playing piano and writing their own music.
Once I saw firsthand how much better learning can be with the Payam Method, I felt compelled to help spread it, leveraging my experience scaling Code.org to 100 million students. I joined as CEO two years ago, and we began hiring a team and recruiting support to help us scale.
With the recent endorsement of world-famous composer @HansZimmer, Payam Music is available in cities around the US and expanding rapidly. Our schools teach 1-on-1 lessons, in person and even online. We have limited spots, so if you or your child want to learn piano, sign up now! And if we don’t have a school near you, join our wait list, we’re growing fast.
Fall in Love with Piano
payammusic.com
P.S. This week we’re announcing the amazing business leaders who are investors in Payam Music, to help us bring the joy of learning to more students everywhere, and also to provide children an alternative to screentime. If you’re worried about kids’ obsession with screens and social media, the solution is to give them a new obsession: piano.
❤️🎹❤️
Prachi Gupta retweeted
"First they ignore you, then they laugh at you, then they fight you, then you win."
