Jugal Bhatt

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Jugal Bhatt

Jugal Bhatt

@jugaldb

AI & Tech Content Creator | Hackathon Judge | Speaker | Software Engineer @ Amazon | UIUC CS Grad 2025

San Francisco, CA Katılım Eylül 2015
470 Takip Edilen441 Takipçiler
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Jugal Bhatt
Jugal Bhatt@jugaldb·
Freshers do be collecting clubs like infinity stones
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NENDU
NENDU@NENDU__·
From a small kid in Madeira to the greatest player football has ever seen. This 7-minute Cristiano Ronaldo career compilation is pure emotion. 🥹🐐
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TC@totalcristiano·
And I would chose you again and again.
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Kevin Naughton Jr.
Kevin Naughton Jr.@KevinNaughtonJr·
why is a cold glass of whole milk so delicious
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Kevin Naughton Jr.
Kevin Naughton Jr.@KevinNaughtonJr·
every tech company that actually mattered came from one of these two cities
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Jugal Bhatt
Jugal Bhatt@jugaldb·
Just bought Claude max 200$, am I doing it right?
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Charvi Saraf
Charvi Saraf@charvi_saraf·
@skydo_official is scaling! And we are expanding our Product team : Two roles open: 1) Growth PM: Think Acquisition, activation, experiments 2) New Initiatives PM: Chance to build 0-1 as we expand in new product areas If you've got 3-5 yoe in Product, high ownership, and genuine curiosity about fintech, apply here: binary.so/forms/xbKleXc
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Stanley Tang
Stanley Tang@stanleytang·
Dot is coming to California! We build Dot, our autonomous delivery robot, in Fremont — and now we have the green light to deliver there. A big milestone for California innovation: designed here, built here, delivering here. Stay tuned! about.doordash.com/en-us/news/doo…
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akshay
akshay@AkshayNarisetti·
We are hiring for exceptional Swift Engineers at @Heypocket $120k–$200k + meaningful equity. Remote/SF Refer someone exceptional. If we hire, you get $20k
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Eric Glyman
Eric Glyman@eglyman·
We only hire builders (and we’re on a hiring spree)! Reply with something you've built. I'll read them personally. We’re interviewing the best ones. You’ll be a good fit if you: - work best without permission - default to “how could I automate this” - had weird teenage hobbies - spend your sunday making side projects - have more Claude agents than cousins - shipped something this week - make prototypes, not powerpoints - don’t like hierarchy - are good at games: chess, monopoly, poker - would take dinner with Elon over $100k Good luck, Eric
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Ishaan
Ishaan@ishaan_jaff·
Update from us @LiteLLM, We will be partnering with @TrustVanta for its SOC-2 Type 2 and ISO 27001 recertification. Thank you to the Vanta team for their quick help! We are also in the process of identifying 3rd party auditors to verify our compliance controls.
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Kabir Nagral
Kabir Nagral@kabirnagral·
@sama wrote this 13 years ago and it's still the best thing written on hiring
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Sarthak Bharadwaj
Sarthak Bharadwaj@sarthakbh321·
no big AI news in the last 3 weeks its so over fam 🥀🥀
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Sarthak Bharadwaj
Sarthak Bharadwaj@sarthakbh321·
it's funny how in 2024 we were all like "AI won't replace devs" then in 2025: "okay it helps but you still need real engineers" and now in 2026 people are running bajillion agents across bajillion projects solo it still needs some steering, but the growth has been exponential
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Jugal Bhatt
Jugal Bhatt@jugaldb·
@sarthakbh321 @garrytan Yes, but with LLMs being more of “yes mans” it’s easy for people to fall into that sense of belief because traditionally computers have been very clear on what is right (it works) and wrong (or it doesn’t) but that feedback loop to humans is somewhat faded
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Sarthak Bharadwaj
Sarthak Bharadwaj@sarthakbh321·
@garrytan "humans with not enough data hallucinate too" agreed, this is just dunning kruger effect with extra steps. people are shipping like crazy with false conviction because the tool (AI) made it feel easy
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Garry Tan
Garry Tan@garrytan·
People get high on abstraction too early. They want the system before they’ve earned the insight. But the good abstractions are never designed. They’re discovered. You do the stupid manual thing enough times and the real bottleneck just emerges. Your initial agency might be driven by a hunch you had in the shower, but that moment won’t get you all the way to making something people want. The right way to make anything is forced on you by reality: what are the real jobs to be done? And what sequence? This is why “do things that don’t scale” still hits, especially now when AI makes it trivially easy to scale things that probably shouldn’t be scaled yet. PG’s point was never about suffering. It was about contact. When you’re the one manually doing the loop, you see the edge cases. The weird user behavior. The failure modes nobody designed for. The hidden dependencies that only show up at 2am when some flow or intermediate step breaks in a way you didn’t anticipate. If you automate before you have that contact, you just scale your misunderstanding faster. When the machines can help you vibe code perfection it gives you a false sense of power. I love that feeling as much as you do. But fuck perfection. Do it live. Be the loop. Feel every friction point. Notice what’s actually true every single time versus what just looked true because you hadn’t seen enough cases yet. Formalize that. Build the recursive version. Then keep checking that your abstraction is still attached to real humans and their needs. Because reality drifts. Your users drift. The ground truth changes under you. You may think you understand but no plan survives contact with the real users and what they want. You find those body blows in analytics and user feedback and we call them the roadmap. Humans left with not enough data hallucinate too. But just like the LLMs with enough data you unlock real transcendence. Real utility. Prosperity for humans in real life. The abstraction is a tool, not a destination. The moment you forget that, you’re cooked.
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Jugal Bhatt
Jugal Bhatt@jugaldb·
What if someone asks GPT “should I carry the missile and waste fuel for firing or auto launch it if the Launchpad is 1000miles away” will it hallucinate and fire it? Just like it asked me to walk to the car wash to wash my car?
Sam Altman@sama

Tonight, we reached an agreement with the Department of War to deploy our models in their classified network. In all of our interactions, the DoW displayed a deep respect for safety and a desire to partner to achieve the best possible outcome. AI safety and wide distribution of benefits are the core of our mission. Two of our most important safety principles are prohibitions on domestic mass surveillance and human responsibility for the use of force, including for autonomous weapon systems. The DoW agrees with these principles, reflects them in law and policy, and we put them into our agreement. We also will build technical safeguards to ensure our models behave as they should, which the DoW also wanted. We will deploy FDEs to help with our models and to ensure their safety, we will deploy on cloud networks only. We are asking the DoW to offer these same terms to all AI companies, which in our opinion we think everyone should be willing to accept. We have expressed our strong desire to see things de-escalate away from legal and governmental actions and towards reasonable agreements. We remain committed to serve all of humanity as best we can. The world is a complicated, messy, and sometimes dangerous place.

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Jugal Bhatt
Jugal Bhatt@jugaldb·
I am seeing so many creators post this image. Can somebody please tell me what the source of this data is? I was very intrigued by it and wanted to read more, but all the data that backed this info was "trust me bro" lol AI creators really need to stop posting and agreeing with anything and everything that is viral!!!! #ai
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Jugal Bhatt
Jugal Bhatt@jugaldb·
Spot 8 things where AI messed up. I bet you can't find the 8th one. haha
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Jugal Bhatt
Jugal Bhatt@jugaldb·
just tried Heygen's AI avatars and man, they are sooo good!
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