Saaketh Chennaiahgari
@CSaaketh
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@carnegiemellon alum | fellow at @hydeparkvp | building in ai
Texas, USA
Joined July 2020
Crazy to see which names ended up surviving. Also interesting to see how the companies and their logos have changed.
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RT @shagun_mm: đ§ľ1/ When people think of @CarnegieMellon, they usually think of AI and robotics. But little do they know it is also home toâŚ.
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This was Silicon Valley in the â80s. Hundreds of logos. Most forgotten. A few became legends. AI feels the same right now. The next map is being drawn. Whose name will still be on it in 2045?
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Everything moving at light speed with ai.
Luca Guadagninoâs âARTIFICIALâ starring Andrew Garfield, Monica Barbaro and Yura Borisov reportedly begins filming this month. A recounting of the tumultuous period at artificial intelligence company OpenAI in 2023 that saw CEO Sam Altman fired and rehired in a matter of days.
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Big Tech used to just own the software. Now theyâre owning the stack. ⢠2021 â $152B.⢠2025 â $365B. Thatâs not just cloud spend. Itâs physical infrastructure. AI isnât just an application layer anymore. Itâs becoming the platformâand theyâre building the rails. @coatuemgmt
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Crazy that despite how accessible information is in this day and age, and how perfect markets seem, itâs possible for something like this to just slip under the radar for so long. For context âš36,500 crores is almost $4 Billion.
What if I told you that Jane Street made âš36,500 crores from Indian markets in just 2 years, and âš4,800 crores of that was allegedly through market manipulation? They turned India's stock market into their personal ATM using a strategy so clever. Here's the complete details đ§ľ.
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Too many teams are still treating AI as a feature. But 80% of AI-native companies are already deploying agentic workflows. High-growth teams? 37% of their engineers are focused on AI. If youâre not adapting, youâre already behind. (From @ICONIQCapital 2025 AI Builderâs Playbook)
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YCâs call for W25 is live.Whatâs interesting is how programs like @iCladAI are aligning with the kinds of problems YC increasingly talks about:.â Intelligent systems infra.â Safe deployment.â Long-term AI leverage.Curious to see this evolving .@sama @harjtaggar @darius @garrytan.
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This is what happened when the Internet started unlocking value. Now look at AI. Same curve. Faster. Backed by real GDP data â and insights from YC AI Startup School (thanks to @sama, @karpathy, @AndrewYNg, @fchollet, @harjtaggar). If you missed the Internet, donât miss AI. đ
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TLDR:.⢠Agents are smarter workflows.⢠Instructions matter more than code.⢠Start small, test, improve.⢠This applies to almost any job that involves tools + decisions. Full guide here â
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7. You donât need to know how to code. You just need to understand your own workflows well enough to explain them. If you can describe how a task gets done, someone can build an agent to do it.
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6. Hallucination is not failure. Itâs feedback. The guide treats bad outputs as debugging cluesânot dead ends. Small changes in tool access, instruction wording, or memory often fix it.
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5. Good agents think in steps. One surprising insight: agents that plan their next step before acting are far more accurate. Itâs not about speedâitâs about control.
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4. The future isnât multi-agent everything. OpenAI warns against overengineering. Most great agents today are simple loops:.âTry something â See what happened â Try again.â.One smart agent > ten confused ones.
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3. You already use agentsâyou just donât call them that. Examples from the guide:.⢠Refund processors.⢠Intake assistants.⢠Knowledge search bots.If it handles steps, tools, and adaptsâitâs an agent.
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2. The hardest part isnât the AI. Itâs the instructions. OpenAI shows that well-written instructions (like job training docs) often matter more than the model itself. The agent is only as good as what you teach it.
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1.Agents donât replace peopleâthey replace processes. Think less ârobot employee,â more âautomated teammateâ that knows how to get from A to B using judgment, not just scripts.
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OpenAI just released a guide on how to build AI agents. But itâs not just for engineers. If you run a business, work with customers, or do anything repetitiveâthis matters. Here are the deeper lessons most people will miss đ.
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