Thank you guys for all coming. Uh my name is Harrison. I'm the co-founder CEO of Langchain.We do a bunch of events like these, but this one is a special fireside chat. So we've done more demos in the past, but uh we've been working with Ripling for for a while now and they have a lot of insights around building actual agents. Uh and so I figured it would be much more interesting to do a to do a fireside chat with Anker here.Um, so do you maybe want to do a quick introduction of of yourself and and maybe I'm ...

Joining us now Xia CEO of AI consulting firm Malo Santo also a former global strategy lead for responsible innovation at Google. X first of all just let me get your take on on Gemini 3 which seems to have certainly uh captured the imagination of many investors and performed quite well on all those benchmarks that all you AI people do to sort of you know get a sense for that latest model. What are your thoughts.>> Yeah 100%. So, I will say first of all that Gemini was state-of-the-art up until last night. Uh ...

RT MetaMask Developer (@MetaMaskDev)We’re at the dawn of the era of agents.Adoption is early, curiosity is relentless, and the frontier is wide open.Across @Consensys, we’re committed to supporting and expanding x402 ​(proposed by @CoinbaseDev​) and we’re working with​ @Google to create an ope​n economy of agentic payments. 🧵 ...

RT MetaMask Developer (@MetaMaskDev)We’re at the dawn of the era of agents.Adoption is early, curiosity is relentless, and the frontier is wide open.Across @Consensys, we’re committed to supporting and expanding x402 ​(proposed by @CoinbaseDev​) and we’re working with​ @Google to create an ope​n economy of agentic payments. 🧵 ...

Model Performance & Capabilities - GBD5 excels in coding and agent development, demonstrating competitive pricing [1][3][8][11] - The model sets a new Pareto frontier for intelligence versus price, outperforming Gemini in this aspect [1][2][4][22] - While not a dramatic leap from GBD4, GBD5 is a strong daily driver, particularly for building agents and coding [3][8][11] - GBD5 shows state-of-the-art tool calling capabilities, especially for long-running agents [9][11] - Testing indicates a performance increase in deep research tasks when using GBD5 as a researcher agent, achieving 49.4% performance on deep research bench [18] Pricing & Availability - GBD5 is priced competitively, even lower than GPT-4 and GPT-4.01 at $1.25 per million input tokens [3][4] - Through the API, different models are available (main, mini, thinking, pro), while the Chat GBT app uses a router to automatically select the model [5] Limitations & Considerations - GBD5 is considered weaker at writing compared to GPT-40, GPT-41, and GPT-45, being more practical but less conversational [1][7][13][15] - Initial confusion existed in the open SDK regarding model names, but this is expected to be resolved [5][6]

RAG Systems - Agentic RAG systems enhance robustness by aligning individual outcomes with the overall goal [1] - The provided diagram represents one of many possible blueprints for an agentic RAG system [2] - The specific implementation of an agentic RAG system can be adapted to fit particular use cases [2]

Industry Disruption - The database technology industry has remained largely unchanged for 40 years [2] - The agentic era is expected to disrupt the entire database industry [3] AI and Database Creation - Agents are increasingly creating databases, with Neon reporting 80% of their databases created by agents [2] - Agent-created databases have seen significant growth, increasing from 30% last year to a projected 99% [2] Competitive Landscape - Lakebase aims to compete with major tech companies like Oracle, Microsoft, and Amazon in the database market [1]