Building and sharing thoughts on AI Agents | Currently building vision AI Agents in sports world | IITM’20 https://xitter.cf/t.co/JwLCrW78qc

Delhi
Joined March 2013
Gemini is redirecting 3.7 flash requests to 3.8 flash silently?? @GeminiApp We are facing very high latency in our systems this is really absurd
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Hey @thsottiaux why does the dot not pick up the call for so long it is really irritating man
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Shashwat Jain retweeted
We're giving away a CONTROL Resonant custom wrapped NVIDIA GeForce RTX 5080 to celebrate its official release with #RTXON. To enter: 🟢 Share this post 🟢 Comment #RTXON T&Cs: nvda.ws/4z24Gcq
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We all laughed at nobita that he asks or consults everything with doraemon and we are doing exactly that in today’s world by using claude and chatgpt😂
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Finally it arrived!!
Introducing Claude Opus 5.5, the first model in our new Claude 5.5 family. It performs at the level of Claude Fable 5.1 for most tasks, and costs 40% less to run than Opus 5.
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Single-most important thing that I have found important after working in startups for 5 years is the decision of how to choose a startup and it is actually really simple. Two major things: 1. You should be high agency and low ego like really low 2. See the founders and their decision making, no one should remain in a startup once they know that decision making is poor. The call to leave the startup is actually easy but the difficult part is to let go of the investment of energy you would had done in case you are high agency which u might be if you are still reading this!!
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This is insanneee!!! Computer use will be 10x better post this
Breaking: Browser Use + Jev = Ultrafast ⚡ Findings flights took 7s and cost only $0.0039 🤯 > new action space every step > DOM state space > small LLM fallback to type (this video is at 1x speed btw) Built a tiny open source browser agent. try it below ↓
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This one is a big update, Achieving Pareto efficiency, is this GLM again? What are your thoughts nerds #connect
Union Alpha (stealth model) is free for the next week - no data training - built for agentic coding - supports images let's see what you can do
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Say hello (literally) to Gemini 3.8 Live and 3.8 Live Extended Thinking, our new SOTA live audio models, available with frontier price + performance. 3.8 Live supports 97 languages (can seamlessly switch), async tool calls, and more!
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Andrej Karpathy spent 8 years at OpenAI and Tesla Last week, he condensed everything he knows into one free 2-hour lecture Agents → Loops → Harness → Self-Improving Systems People pay $14K for bootcamps that teach less than this, this lecture beats most paid AI engineering courses Don't let this disappear from your feed, save it, watch it
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Hello connections, Wanted to understand your take on design what methodology do you apply for design what is your perspective on ai-design, I want to build something and it seems design is the biggest bottleneck so any suggestions? Also, happy to #connect
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Any tech builders here? I’m from India 🇮🇳 Into AI agents, software, DevOps, SaaS & open source. Tell me your country + what you’re building. Let’s #connect.
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Hey all 👋 Looking to #connect with people that are building cool stuff and are interested in: - SaaS - Indie Hacking - AI tools - Automation - Building in public - following ai domain in detail - useful tips and tricks -using claude code/codex/muse - using open source ai models Let’s grow together 🤝
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I’ve been building AI agents for ~2 years. Here are 7 things I believed about agents that I no longer believe.
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I’m starting to write more about what actually works when building agentic systems — not agent demos. Follow if you’re building in this space too. #connect
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The moat isn’t your prompt It’s the surrounding system: data, tools, permissions, evaluations and feedback loops.
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Observability becomes more important as models become smarter Because smarter agents can fail through longer, more convincing trajectories.
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Human-in-the-loop isn’t a temporary workaround For many valuable workflows, approval boundaries are part of the product.
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Most agent failures aren’t model failures They’re state, permissions, bad tool schemas, retries and unclear termination conditions.
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Memory isn’t primarily a vector DB problem The difficult part is deciding what deserves to become memory.
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Multi-agent is massively overused A good single-agent loop often beats 5 agents talking to each other.
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