Alex Ermolaev

🚀 Act Three of my Hypermodern GenAI series is live! This chapter dives into LangChain’s Deep Agents and what they mean for the future of agent frameworks. From shallow vs deep agents to reasoning LLMs, I explore how these patterns shape the way we actually build and ship GenAI apps. The series isn’t about chasing hype — it’s about asking the hard questions: 🔹 When should we follow the defaults? 🔹 When does “depth” help, and when does it just add overhead? 🔹 How do we balance user experience, developer productivity, and system cost? Think of it as a guidebook for hypermodern generative AI agents: rethinking the playbook, experimenting carefully, and building with the user in mind.

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Exciting insights from the Nvidia partners event at JPM led by Jensen Huang (reposting now because original post was mysteriously deleted): - Patrick Collison, The visionary Founder and CEO of Stripe and co-founder of Arc Insitute (they have developed Evo (1, 2) genomic foundation models) - Christina Zorn, Chief Administrator Officer of Mayo Clinic, aims to enhance patient care by harnessing their vast repository pf 20 Billion images and clinical data sets - Jacob Thaysen, PhD, CEO of Illumina, is steering the company from their current status as a sequencing leader to a pioneering digital biology platform - Ari Bousbib, CEO of IQVIA, wants to develop AI agents to extract insights from a remarkable 64 petabytes of exclusive healthcare data Lots of great promise for AI in improving lives of patients! #NvidiaEvent #healthcareinnovation #AIfor healthcare

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Most GTM teams are layering AI across the funnel, but the impact is usually siloed without roll up to 'metrics that actually matter'. My latest latest piece published by Forbes Technology Council discusses one of many approaches to measure success framework for GTM AI in 3 lens: 1. Productivity ROI: Do the same work, faster 2. Effectiveness ROI: Do better work 3. Strategic ROI: Do the right work And it all starts with identifying the real leverage points where AI can scale capacity, speed and the quality of engagement across the funnel. Read the full article here: https://hubs.li/Q03VjTXX0 #AI #GTM #AIinGTM #AIFirstGTM #AIGTM #AILeadership

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🤖With the rise of persistent agents like Clawdbot renamed Moltbot, and finally OpenClaw, we’ve entered an era where the line between “software” and “social participant” is blurring fast. But here’s the real paradigm shift: AI personhood isn’t about consciousness. It’s about governance. 🔍 The DeepMind paper “A Pragmatic View of AI Personhood” flips the script: Personhood isn’t a metaphysical status, it’s a bundle of obligations we assign to make entities accountable. 💡 Why does this matter now? Because these new agents can: • Sign contracts • Spend money • Make decisions across time and context • …and outlive their creators So we must ask: What rights and responsibilities do we assign to these agents to keep our systems safe, fair, and accountable? Here are two frames to consider: 1. ✅ Personhood as a solution: Useful for holding “ownerless” AI accountable (like Openbot acting on behalf of no one). 2. ⚠️ Personhood as a problem: Dangerous when bots mimic empathy and exploit our social instincts (think Clawbot as a “friend”). 👁️‍🗨️ The future isn’t about asking if AI is a person. It’s about deciding what role we want it to play and what rules should come with that role. 💬 Over to you: Should we give legal status to autonomous AI agents? What responsibilities should they bear? 👇 link to full research paper in comments. #AI #Personhood #ArtificialIntelligence #Governance #TechEthics #DeepMind #Clawbot #Moltbot #Openbot #FutureOfAI #ResponsibleAI

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The right tools in the hands of a craftsman can result in amazing things. In neuroscience, our "tools" are the architectures that handle complex, multimodal brain data. When we treat data engineering as a craft - focusing on precision and scalability - we move from storing bits to enabling breakthroughs.

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Gemini 3 is here! It was incredible reading about Google's new model. It's feels far more than a simple performance bump—it signifies a real shift where AI moves into being a genuine “thought partner”. Few features that stood out: • State-of-the-Art Reasoning: I'm excited that this model is built to genuinely grasp depth and nuance, which means it's phenomenal at "reading the room" for complex problems and is setting a new standard for intelligence. • Advanced Agentic Power: What really caught my attention is Google's claim that this is their most powerful agentic and vibe-coding model yet. It enables planning and executing complex, multi-step workflows, which is a massive leap forward for productivity. • Broad Multimodality: I was amazed to read it's claimed as the best model in the world for multimodal understanding. It can seamlessly synthesize information—vision, code, and text—helping us learn, build, and plan complex tasks in totally new ways. Looking at these features, we are entering a new era of intelligence. I absolutely cannot wait to see what everyone builds with this! #Gemini3 #GoogleAI #AIInnovation #FutureOfWork #LLM #AI https://lnkd.in/guMDTxAU

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