Databricks CEO and co-founder @alighodsi joined @technology to discuss the launch of Genie Code, an autonomous AI agent built specifically for data teams. "Just six months ago, we were talking about autocompleting code — now agents automate the code. The new question is: how do
AGENTS
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LangSmith for Startups Office Hours in San Francisco
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San Francisco: LangSmith for Startups Office Hours Calling founders, engineers, and founding teams to join us on a Friday morning for office hours. Come ask our Head of Product, PMs and Deployed Engineers your burning agent development questions + get updates + give us
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Harvey AI Launches BLB Research Benchmark for Legal AI
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We partnered with @Harvey_AI on BLB: Research — a benchmark of hard, agentic US case law research problems. We identified a series of US case law research problems that leading models are currently unable to solve — even when provided with search tools like web search. The
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CEO Speaking on Autonomous Cybersecurity at RSAC2026 Startup Expo
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Are you attending #RSAC2026? Our CEO Eno Thereska is be speaking on a panel: "Going Autonomous in a Machine-speed Cyber Battle” Monday March 23 @ 3:00 pm at the Cyber Startup Expo 👉 Request to attend. go.trent.ai/cyber-startup-ex… As the cyber cat-and-mouse game accelerates to machine speed, defenders can no longer rely on human-only response or static defenses. This panel explores how security teams are going autonomous, combining AI-driven defense with continuous, autonomous red teaming to find and fix weaknesses before attackers do. 👏 A big thank you to the incredible hosts, including Carnegie Mellon University @CyLab, @DataTribe, @dreamit, and Blu Ventures, for bringing together the cybersecurity startup ecosystem.
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AI Workshop: Agents and Workflow Optimization Techniques
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I complete hours of work with AI in minutes, and I'm going to show you how. On March 25th I'm doing a free live workshop breaking down every AI tool I use, every model, and the four shifts that changed how I work with AI agents, with demos. https://
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Agents in Production: Monitoring Challenges Beyond Traditional Observability
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San Francisco Meetup: It Worked on My Laptop – Agents in Production Unlike traditional software, you don't know what your agent will do until it's in production. This means that production monitoring for agents requires different capabilities than traditional observability.
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Agentic Data Science: Implementing AI Agents for Data Analysis
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How to Do Agentic Data Science https://
buff.ly/p03xjBG
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
Smart Metrics Shape Behavior in the Enterprise
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Smart metrics don't just measure performance, they shape behavior. If we're deploying #AI across the enterprise, we need guardrails against metric gaming from day one. Governance isn't a brake on innovation, it's what makes transformation durable. Especially as agentic systems
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Inworld TTS Models Available with Advanced Voice Features
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Inworld TTS is here Two models from @inworld_ai
, ranked #1 on Artificial Analysis:
→ Mini: built for real-time voice agents
→ Max: built for when voice quality is everything Both support 15 languages, emotion control, and non-verbal sounds -
PostTrainBench v1.0: Evaluating AI Agents for Model Post-Training
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Excited to release PostTrainBench v1.0!
— Karina Nguyen (@karinanguyen) 11 mars 2026
This benchmark evaluates the ability of frontier AI agents to post-train language models in a simplified setting.
We believe this is a first step toward tracking progress in recursive self-improvement 🧵: pic.twitter.com/ELymwJqVP1Excited to release PostTrainBench v1.0! This benchmark evaluates the ability of frontier AI agents to post-train language models in a simplified setting. We believe this is a first step toward tracking progress in recursive self-improvement 🧵: