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Namya LG (she / her)
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Namya LG (she / her)
@namrun23
swe building for the physical world • @Google • built @InveshoAI • No Human Is Limited🏃♀️• tech • sport • know more @ https://t.co/47eQ21DGPl
Bengaluru, India เข้าร่วม Nisan 2021
3.9K กำลังติดตาม514 ผู้ติดตาม
Namya LG (she / her) รีทวีตแล้ว

Firebase AI Logic brings direct access to Gemini from your mobile or web app, with no backend to build or maintain.
Learn about the newest features that give you more control over security, prompt management, and cost optimization: goo.gle/3OPKWHO
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agree 100%
x.com/namrun23/statu…
Swastika Yadav@swstica
hardware companies that figure out dev experience early will grow their ecosystem much faster. a good dx compounds- every dev who can actually get started becomes someone who builds, contributes and brings in others. hardware gets all the attention, but the teams investing in documentation, tooling and community rn will be hard to catch.
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Namya LG (she / her) รีทวีตแล้ว

Demis Hassabis (@demishassabis) has had one of the most extraordinary careers in tech.
He started as a chess prodigy and video game designer at 17 before getting a PhD in neuroscience and going on to found DeepMind. His lab cracked Go, solved protein structure prediction with AlphaFold, and then gave it away free to every scientist on earth. That work won him the 2024 Nobel Prize in Chemistry. Today he leads @GoogleDeepMind, pushing toward the same goal he set as a teenager: AGI.
On this special live episode of How to Build the Future, he sat down with YC's @garrytan to talk about what still needs to happen to get us to AGI, his advice for founders on how to stay ahead of the curve, and what the next big scientific breakthroughs might be.
01:48 — What’s Missing Before We Get To AGI?
03:36 — Why Memory Is Still Unsolved
06:14 — How AlphaGo Shaped Gemini
08:06 — Why Smaller Models Are Getting So Powerful
10:46 — The 1000x Engineer
12:40 — Continual Learning and the Future of Agents
13:32 — Why AI Still Fails at Basic Reasoning
15:33 — Are Agents Overhyped or Just Getting Started?
18:31 — Can AI Become Truly Creative?
20:26 — Open Models, Gemma, and Local AI
22:26 — Why Gemini Was Built Multimodal
24:08 — What Happens When Inference Gets Cheap?
25:24 — From AlphaFold to the Virtual Cells
28:24 — AI as the Ultimate Tool for Science
30:43 — Advice for Founders
33:30 — The AlphaFold Breakthrough Pattern
35:20 — Can AI Make Real Scientific Discoveries?
37:59 — What to Build Before AGI Arrives
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Namya LG (she / her) รีทวีตแล้ว
Namya LG (she / her) รีทวีตแล้ว
Namya LG (she / her) รีทวีตแล้ว
Namya LG (she / her) รีทวีตแล้ว

@adavya_sharma @honchodotdev very cool, I'll check this out!
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@namrun23 you can do this with @honchodotdev
setup two peers (agents, people, employees, etc) under the same workspace and work on your wildest ideas together
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Not long before people will share context like documents.
Like how PII is removed, sensitive data is cleaned etc, there needs to be a way to export and share context - yes you can export/save conversarions etc, say from your coding agents, but the experience is not the greatest.
I can see this happening on shared projects, a project you are doing on 2 different machines etc.
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hey @JayaGup10, what do you think about this from an enterprise perspective?
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Namya LG (she / her) รีทวีตแล้ว
Namya LG (she / her) รีทวีตแล้ว









