renée berry 🌿

The courage celebrated of entrepreneurs is actually way more common than recognized or written about & exists in neighborhoods around the world, in organizations of every size, in public service, companies, startups, you name it. 🔥Creators, keep persevering. The world needs you.

Had meetings and a dinner with 20+ enterprise AI and IT leaders today. Lots of interesting conversations around the state of AI in large enterprises, especially regulated businesses. Here are some of general trends: * Agents are clearly the big thing. Enterprises moving from talking about chatbots to agents, though we’re still very early. Coding is still the dominant agentic use-case being adopted thus far, with other categories of across knowledge work starting to emerge. Lots of agentic work moving from pilots and PoCs into production, and some enterprises had lots of active live use-cases. * Agentic use-cases span every part of a business, from back office operations to client facing experiences from sales to customer onboarding workflows. General feeling is that agentic workflows will hit every part of an organization, often with biggest focus on delivering better for customers, getting better insights and intelligence from data and documents, speeding up high ROI workflows with agents, and so on. Very limited discussion on pure cost cutting. * Data and AI governance still remain core challenges. Getting data and content into a spot that agents can securely and easily operate on remains a huge task for more organizations. Years of data management fragmentation that wasn’t a problem now is an issue for enterprises looking to adopt agents. And governing what agents can do with data in a workflow still a major topic. * Identity emerging as a big topic. Can the agent have access to everything you have? In a world of dozens of agents working on behalf, potentially too much data exposure and scope for the agents. How do we manage agents with partitioned level of access to your information? * Lots of emerging questions on how we will budget for tokens across use-cases and teams. Companies don’t want to constrain use-cases, but equally need to be mindful of ultimate token budgets. This is going to become a bigger part of OpEx over time, and probably won’t make sense to be considered an IT budget anymore. Likely needs to be factored into the rest of operating expenses. * Interoperability is key. Every enterprise is deploying multiple AI systems right now, and it’s unlikely that there’s going to be a single platform to rule them all. Customers are getting savvier on how to handle agent interoperability, and this will be one of the biggest drivers of an AI stack going forward. Lots more takeaways than just this, but needless to say the momentum is building but equally enterprises are acutely aware of the change management and work ahead. Lots of opportunity right now.

You fold it in. 🩷 #CatherineOhara instagram.com/reel/DUJYkRjCa…

Shipping everyday. Not focused on vanity metrics. Solid.

@rheejust @porterdotrun @FirstMarkCap @ycombinator @daltonc @ROWGHANI yaaaaa! Go @porterdotrun! So excited for the team! 👏👏

I’m excited to announce that @porterdotrun has raised a $20M Series A to provide effortless app infrastructure in any cloud provider. Our round was led by @FirstMarkCap with participation from @ycombinator and strategic angels including @daltonc and @ROWGHANI. When we started Porter, we had one simple goal: allow startups to stop thinking about cloud infrastructure. Today, the fastest-growing AI companies from the seed-stage to IPO use Porter to manage hyper-growth infrastructure across AWS, Google Cloud, and Microsoft Azure. Our users scale individual clusters in each cloud provider to hundreds of machines and terabytes of RAM without DevOps overhead. We’ve more than doubled headcount over the past few months and are aggressively expanding the surface of what our platform can manage. We are on a mission to make using the public cloud utterly seamless. I’d like to thank our users, investors, and most importantly, the Porter team. As all of them know, we are only getting started. We’re actively hiring with offices in NY and SF, so if you’re interested in managing core infrastructure for the next generation of public companies or tackling the hardest devX problems, shoot me a DM.

@drew_bent I know someone great for this… will send!

Apply here! Global education: job-boards.greenhouse.io/anthropic/jobs… US K-12: job-boards.greenhouse.io/anthropic/jobs…

I'm hiring for my education team at @AnthropicAI 🍏 These are two foundational program manager roles to build out our global education and US K-12 initiatives Looking for people with… - deep education expertise - partnership experience - a bias toward building - technical and hands-on ⁃ 0-to-1 The KPIs will be students reached in underserved communities + learning outcomes.

“AI is a civilizational technology.” That’s how @drfeifei calmly framed the stakes when @hugobowne and I co-hosted her on @delphina_ai's High Signal. What an honor to have her on! I’ll admit to getting tingles recording this one. Sometimes referred to as the Godmother of AI, Fei-Fei is creator of ImageNet; Professor of CS at Stanford and Founding Co-Director of Stanford’s Human-Centered AI Institute; former VP & Chief Scientist of AI/ML at Google; now Co-founder and CEO of @theworldlabs. In a wide ranging conversation, we spoke about: 1/ Fei-Fei’s motivations, and how she follows her curiosity about the world’s big questions 2/ What the concentric‑rings are of human centered AI 3/ What a path to responsible AI could look like 4/ What spatial intelligence is, and why it’s the next leap And much more. Check out the clip below for a preview, and grab the full show: 🎧 On Spotify: open.spotify.com/episode/4GQNMe… 🍎 Apple Podcasts: podcasts.apple.com/us/podcast/epi… ▶️ YouTube: youtu.be/be0gLzeBX5w?si… 📄 Show notes: high-signal.delphina.ai/episode/fei-fe… High Signal brings you the best from the best in Data. Do us a favor and like + share!

“Hospice isn’t the absence of medicine. It’s the presence of consent.” Beautiful post by Adam Hayden. 🩷 Thank you for sharing @SusannahFox. #hapc #hospice #advancecareplanning open.substack.com/pub/glioblasto…

Current customer of @resolveai: "Resolve is probably one of the first AI tools where I saw the value in it immediately, even just passively using it." More and more teams are starting to understand the value of Resolve, and they are feeling that impact almost instantaneously in their daily workflows.

74% of enterprises are investing in agentic AI workflows, and that shift is happening now. This isn’t about exploration anymore, it’s about execution. Trust is growing, integration is underway, and AI agents are moving into the heart of business strategy. Learn how to get started: sema4.ai/learning-cente…

📣 Join SuperAnnotate and @awscloud for a deep dive on building reliable, scalable LLM Judge systems. See how top AI teams use AWS Bedrock + human-in-the-loop review on SuperAnnotate to boost evaluation accuracy. 👉 Register now: superannotate.com/webinar

🧢 Excited. Go @haizelabs!

The majority of American adults interact with AI several times a week. AI has become a mainstream technology faster than any other tool in history. What’s amazing is that we’re only in the earliest stages of what’s actually possible. ht @emollick

Great discussion with Maxwell Zeff, Sr. Reporter @TechCrunch and Jared Kaplan cofounder and Chief Research Officer @AnthropicAI #TechCrunchAISessions

@bradmenezes @sparkcapital @kleinerperkins @MeritechCapital 🎉 Congrats @bradmenezes and @superblocks team, excited for you!

I’m excited to introduce Clark, the first AI Agent to build internal enterprise apps. We’ve raised $60M, including a fresh $23M from @sparkcapital @kleinerperkins, @MeritechCapital and Greenoaks. Unlike consumer vibe coding tools like Lovable, Replit and Bolt that only generate prototypes, Clark builds production-ready internal apps — enforcing your enterprise standards: 🧩 UIs generated using your design system 🔌 Integrations with private APIs, databases and SaaS apps 🔐 Permissions mapped to @okta & @azuread groups 🛡️ Security with audit logging, secrets management, and vulnerability scans Clark is designed to operate exactly like a human internal tools team. It's built on a state-of-the-art multi-agent architecture, emulating your Designer, IT admin, Engineer, Security Operations, and QA employees. When Clark generates an application, you can modify it in 3 ways: 1. Natural language - talk to Clark 2. Visual – Edit it like in Figma 3. Code – Use your IDE like Cursor or VSCode Global enterprises in regulated industries like @Instacart (CART), @carrier (CARR), and @cvent (Blackstone) already run their mission-critical apps on our platform. Our customers save $5m on average. Book a demo and we'll save you $5m too. And we're so confident that if we can't, we'll donate $5,000 to a charity of your choice: Book a Demo – superblocks.com/clark --------- As part of this launch, we’re giving away the system prompts of leading AI products like Cursor, Manus, and Codex. These 6,000 line system prompts have enabled them to become billion-dollar companies on top of foundation models. Retweet this post and comment ‘Superblocks’ below, and we'll send you the link so you can engineer world class prompts yourself. 👇 See Clark in action in the thread below

👋 I’m getting started on bluesky 🦋 come say hello ➡️ bsky.app/profile/rfberr…

Congrats @AirbyteHQ! Loved seeing the energy from @MichelTricot and the team last night. Excited for this milestone!

We did the thing! Cheers @AirbyteHQ , onwards and upwards

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🚀 So amped to see this live: Vantage for MSPs!