Davit
@DBuniatyan
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Building Deep Lake, database for AI @activeloopai, formerly doing PhD at Princeton
Mountain View
Joined November 2014
I vibe animated a Pixar-quality @activeloopai-L0 release video for Launch @ycombinator over weekend. Here is how,. AI has shifted the challenge entirely to taste. Normally, professional animations cost 5-6 figures and take months — requiring teams of writers, animators,
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Context Engineering is all you need. Just named differently every quarter to keep pumping up! 🙃
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We indexed him in 2021, did not end up working
PSA: there’s a guy named Soham Parekh (in India) who works at 3-4 startups at the same time. He’s been preying on YC companies and more. Beware. I fired this guy in his first week and told him to stop lying / scamming people. He hasn’t stopped a year later. No more excuses.
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LLMs becoming less of knowledge repositories and more of decision makers.
The race for LLM "cognitive core" - a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing. Its features are slowly crystalizing:. - Natively multimodal.
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super exciting release by @arcee_ai team!.
Introducing AFM - Arcee Foundation Models. Today we are extremely excited to announce AFM - @arcee_ai new family of enterprise-grade foundation models designed for secure, real-time AI infrastructure and intelligent automation. Built for:.• On-prem, private cloud, or on-device
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Zuckerberg might be quietly tasked to build the Manhattan Project of AI inside Meta.
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Reasoning LLMs + MCP miss one big thing. What if LLMs could think in the background?. LLMs today are more like Python in late '90s - single-threaded and interpreted, executing instructions one at a time. Imagine, you are on a call with a voice AI agent:.→ You ask a question.
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ok, mindblown by o3-pro use of deeplake 🤯. it knew few nuances of TQL not even properly documented.
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Did you know? 10 years ago, "next Lovable" was built. Way before ChatGPT era. Even before Transformers. Before all recent NLP breakthroughs. This company charged hundreds of dollars for lifetime membership and had more than 50,000 backers. They followed the MVP playbook of the
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A pharmaceutical giant went from spending 50% of AI time preparing data to solving it in days with our technology. Here's how they transformed their AI workflow:. 𝗧𝗵𝗲𝗶𝗿 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: . AI developers were wasting half their time just making complex biomedical data.
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Was at Google I/O — it was wild. Few things that hit hard:. → Google finally disrupting its own front page with AI Mode.→ Veo 3 is fire (sound on).→ Google Glasses making a comeback after a decade. AGI timing?.↳ Last-minute, they added a chair for Sergey at Demis’ talk.↳
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does anyone experience auth issues with @ChatGPTapp? . 1) gmail auth requires MFA, while I don't recall I setup one (beyond gmail)🤔. 2) personal account had Pro $200/month plan, while on mobile (which I still have access to) is on free plan 🤷♂️. @OpenAI any help?
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OpenAI vs Google: ad revolution round will begin soon. History repeat:.→ 2000 - Google AdWords slips text ads under search; rivals such as Yahoo carpet banners all over free space. → 2025 - OpenAI can stitch ads inside citations - Common People (Black Mirror); Google AI view.
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OpenAI just dropped Codex, so I aimed it at our Deep Lake. It nailed identifying few typos, missing imports. The data flywheel is already flying, just like Windsurf’s SWE-1 launch. Key takeaways:. • LLM code = senior-level outlines, intern-level details.• Crash logs are the.
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