Jeremy Fischer

@historyinmemes Now this is what a true "can do" attitude looks like lol

When BBC News mistakenly interviewed a man who had actually arrived for a job interview, live on air.

@BigBrainBizness Wholesome content right here. Love that Mark didn't try to capitalize on it.

This 24 year old grew a $500 idea into a $3 million fashion brand.

@OpenAI I like to imagine sam walking into a VC pitch with a single slide that just says "We're OpenAI. IYKYK. You in?"

Today, we closed our latest funding round with $122 billion in committed capital at an $852B post-money valuation. The fastest way to expand AI’s benefits is to put useful intelligence in people’s hands early and let access compound globally. This funding gives us resources to lead at scale. openai.com/index/accelera…

@andrewqu Incredible stuff. Nice work! 💪

@CollinRugg What a baller. That quote gives me chills.

NEW: Kentucky family rejects $26 million offer to convert part of their farm into a data center despite the offer being about 10 times the going rate for farmland in the area. "If it's my way, I'll stay and hold and feed a nation. 26 million doesn't mean anything." "As long as I'm on this land, as long as it's feeding me, as long as it's taking care of me, there's nothing that can destroy me if I've got this land." Video: Local 12 WKRC

@SahilBloom So many true bangers in here - " 'Learn' is much more important than 'earn' in the early days. Build your potential energy, don’t worry about the kinetic just yet." - "Proximity to a circle of doers is the most meaningful life accelerant you can find"

this is the way

@StartupArchive_ This is bigger than startups. "if you’re pre-product/market fit" -> "basically any time you’re anxious in life" Action produces information. Keep doing stuff. And you'll end up where you need to go.

Brian Armstrong's best advice for a pre-product/market fit startup “If you’re pre-product/market fit, the best advice that I have from that period is: action produces information. Just keep doing stuff.” He borrows this from Paul Graham who said: “Startups are like sharks. If they stop swimming they die.’” “Even if you’re not sure what to do, just do anything. Because when you do it, it’ll produce some information—people liked it, they didn’t, etc.” Brian shares that there were many times in the early days of Coinbase when he just shipped something rather than debate it endlessly: “There were a couple of times where the minute I shipped it, I knew we built it wrong. But I now had an idea of what to do next. And I only would’ve had that idea by actually going through the exercise of building it.” He concludes: “My other favorite analogy for this is that it’s like you’re at the base of a mountain that’s shrouded in fog. You’re looking up at the mountain and trying to figure out how to get up there, but you can only see three or four steps ahead because the fog is so thick. So you have to just take steps into the unknown. And when you take three steps, another three steps will be revealed ahead of you. And sometimes you’ll end up on some local maxima and have to retrace your steps… But most people in life don’t take the steps into the unknown because it’s scary.” Video source: @lexfridman (2022)

@coleywoleyyy @mintlify "A more capable agent pulling from stale context doesn't fail less. It just does more damage faster." 🔥

Why we joined @mintlify mintlify.com/blog/why-we-jo…

Dont outsource your thinking

@jambroli It's such a cognitive load managing worktrees. The best UI will be one that helps your brain manage many parallel agents that are each doing there own thing. Getting updates from them, making sure they aren't stalled, reviewing their output, testing them.

all the best ai models can now code very well the competitive advantage is no longer how good the model is the winner will be decided by which platform creates the best development experience for the user best wrapper wins

That's because true leadership is service

Naval Ravikant shares the 4 traits that guarantee long-term success:

It's interesting, thinking about it, I’ve met plenty of "smart" people who in retrospect operate like greedy algorithms.... they’re very quick to get to the next step, but they never stop to ask "and then what?" They don’t play things out to second and third-order effects. What AI is exposing is that many of these people weren’t truly "smart" (at least by Jensen's definition), they were just efficient at what they do, which is still very useful, honestly. But real intelligence is the ability to anticipate what comes next ... and the step after that ... and to make decisions today that move you toward where you actually want to end up, effectively.

Gosh I love this. What’s interesting is that this has probably always been true. Before AI, it was just harder to articulate why someone "had it" and someone else "didn't" because people’s jobs were buried in busywork that created noise, making it harder to see what actually separated the cream from the crop. Now that AI is absorbing a lot of those tasks and jobs are moving higher level, what’s left is the part that really matters... what really makes somebody "smart"

Nvidia CEO defines what it means to be smart and importance of seeing around the corners

killing two birds with one stone can be a way to avoid full commitment to either bird

@historyinmemes His book Ghost in the Wires is so good

In the 1990s, FBI Most Wanted hacker Kevin Mitnick wiped his systems clean before a raid and left agents a box of donuts labeled “FBI.”

@bdefig @willccbb To be fair, I almost threw _myself_ out the window first.... followed by you behind me 🤣

@willccbb Great for recording videos occasionally. Reminds you how incredible the iPhone camera really is. Co-founder used it as his daily driver on Zoom for 6 months and I almost threw him out the window.

this is the worst feature apple ever invented

Sometimes I get asked "now with AI, aren't you sad you're not writing as much code as before?" and I'm like "Nah, now I'm able to solve problems much closer to the speed at which I can come up with their solutions.... and that's always been the dopamine hit for me, not the code"

I have - Claude Code running in a worktree to migrate some data stored in Redis to Postgres - GPT 5.2 Codex via Cursor running in a worktree upgrading a big dep in our codebase to the latest version (reading the docs, running codemods, type checking, etc) - all while I'm actually testing and iterating on a feature in my main branch with cursor This. Is. Leverage