Pandya

232 posts

Pandya

Pandya

@bitphantom__

building with LLMs. research-to-user. SF.

SF เข้าร่วม Şubat 2026
528 กำลังติดตาม23 ผู้ติดตาม
Pandya
Pandya@bitphantom__·
@mattzcarey Vercel leadership quality is questionable. Theres a huge difference between strong ICs and strong leadership - they do a great job of demonstrating.
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Malte Ubl
Malte Ubl@cramforce·
@threepointone You gotta be more careful in a post-"liberation day"-world, dude. Makes it hard to assume good intend. I'm always here to chat
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Pandya
Pandya@bitphantom__·
How one does anything is how one does everything
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Pandya
Pandya@bitphantom__·
@amaan8429 Im having the same issues still
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Amaan
Amaan@amaan8429·
is claude code down ?
Amaan tweet media
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Pandya
Pandya@bitphantom__·
anyone having login issues with claude code this morning?
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Pandya รีทวีตแล้ว
MrRatable
MrRatable@MRatable·
Not to brag but Claude thinks my questions are sharp and get to the heart of the topic
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Pandya
Pandya@bitphantom__·
More: > Fine-tuned, small LLMs outperformed frontier models on embodied reasoning (AI agents connect language-based planning with real-time physical sensor data and env constraints - usually robots) > Long-horizon planning remains one of the hardest open problems in embodied AI
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Pandya
Pandya@bitphantom__·
Some fun things I dug deeper into today: > CoT prompting (break up prompts to enable higher performant LLMs) > Latent space (simplified, compressed, lower-dimensional representation of data in ML - to map high-dimensional input)
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CooperBaggs 💰🍞
CooperBaggs 💰🍞@edgaralandough·
Going to leave you with this tonight: The best thing you can do for yourself is actively increase your surface area for luck to hit you. Go outside, travel more, go to new cafes, museums, events, take a new route home, go for hikes, see cities, countrysides, take your notebook, speak to people, ask questions, start businesses - go on more side quests. You can literally just do things, and the more you do, the more serendipity and synchronicity will find you. Night gang.
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Pandya
Pandya@bitphantom__·
Hot take: Silicon Valley has a penchant for disliking credentials/degrees (you'll see most people saying the same narrative "Harvard/Stanford don't matter") Good universities are NOT indicators of "this person can build"; they are indicators of "this person can work hard, learn, and is generally smart at what they're pursuing" It feels reductive when everyone bashes on diligent, smart students who worked hard to attend selective schools (tests, extracurriculars, academics). I'm not saying everyone at top 1% schools are 1% founders. In fact, no one ever said that (and that's not what these schools are picking for). But top 1% schools are strong indicators and predictors of ability to perform.
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Pandya
Pandya@bitphantom__·
@rohanpaul_ai Accurate - technical understanding in key but it's always the multidisciplinary that win
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Ryan Mather
Ryan Mather@Flomerboy·
How it feels working at Anthropic
Ryan Mather tweet media
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geoff
geoff@GeoffreyHuntley·
I'm starting to understand the benefits of @ycombinator. You just wouldn't understand unless you lived in San Fran. I didn't until recently. Literally, if you need something, there's someone in the network who's willing to help you. Is actually kinda wonderful.
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Pandya
Pandya@bitphantom__·
@anvisha Disagree - you need to learn from experience. But the catch: dont stay in big tech TOO long (after a year or two, what you say above is true).
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Anvisha
Anvisha@anvisha·
If you’re a new grad that’s trying to be a great product thinker - don’t work in big tech. Not even hot companies like OpenAI. Being a PM in a big org beats creativity out of you. You optimize for consensus and politics over product intuition. It takes years to unlearn
signüll@signulll

the most underrated hire right now is a great product person. when i say product person i'm def not talking about a product manager. perhaps i think there has to be somewhat of a new role. i don't have a good name for it yet but maybe something like "product thinker".. someone with an intuitive grasp of the product as it exists, where it's soft, where it sings, & how to iterate it toward something even sharper. in some sense, this person has to cohesively hold in their head where this product should be 2 years from now & work backwards from that. i say this cuz when building was hard, engineering was the bottleneck & the status hierarchy often reflected that. building is no longer hard. which means the variance in outcomes has shifted almost entirely to judgment on what to build, how to sequence it, & how to talk about it. & the story matters as much as the thing. internally, it organizes the team around a shared model of why. externally, it shapes the interpretive frame users bring to their first experience. you can't retrofit narrative onto a product & expect it to land, it has to be load bearing from the start. the rarest version of this person sits at the intersection of culture & deep technology. someone genuinely bilingual. they know what's technically possible & they know which cultural currents are real vs. ephemeral. that combo is what separates products that feel inevitable from products that feel assembled. before ppl clap back with this person has always been valuable, i know.. i am just saying now they might be the most *important* person in the room. their value compounds like never before.

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Pandya
Pandya@bitphantom__·
@ivanburazin How do you think about networking and observability?
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Ivan Burazin
Ivan Burazin@ivanburazin·
Sandboxes are layer one. As agents take on more complex work, every layer needs rethinking: - Networking for agent to agent communication - Storage for petabyte scale snapshots - Observability for debugging million path execution trees - Security for autonomous decision making The whole stack will be rebuilt from first principles.
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Pandya
Pandya@bitphantom__·
@noahkagan Both are definitely focused on both - It's a matter of whats in the media.
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Noah Kagan
Noah Kagan@noahkagan·
Fascinating to think about the LLM strategy: OpenAi is broad with images, videos, adult mode, DoD stuff, etc.. Anthropic (Claude) is narrowly focused on Claude Code. Who do you think will win?
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Pandya
Pandya@bitphantom__·
Agents are the newest consumers that every company and every PM needs to build for
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Pandya
Pandya@bitphantom__·
Short-term moat: judgment and quality Long-term moat: network and communities
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Pandya
Pandya@bitphantom__·
@AnnieLiao_2000 This is such a good post - i'm glad someone is saying it. The way I think about it: network (encompasses both community and trust)
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Annie ❤️‍🔥
Annie ❤️‍🔥@AnnieLiao_2000·
everyone thinks they know what the AI moats are now: - distribution - "taste" - juicy data moat - hardware but here's what no one is saying: - distribution can be rented (ABG CMO, paid influencers and UGC) - taste can be bought (hire creative agencies, ghost writers) - data can be scraped (or generated) - hardware can be leased / rented the only two real moats left are: 1. trust 2. community you can't buy these two things. you can only earn it slowly, and lose it instantly. the companies that survive AGI aren't the ones with the best model. they're the ones people still believe in when the model gets it wrong.
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