Dean Meyer retweeted
You can’t safely test an enterprise agent on a real company’s data. So we built a company for it to work in. Era is live today, and it’s free. It generates a complete simulated enterprise that behaves like a real one across Salesforce, Slack, Jira, Zendesk, Gong, Deel and more, along with cloud databases and storage. Agents interact with it through live MCP and API interfaces. People leave. Deals change. Records get duplicated. Permissions differ across systems. And because Era generated the company, it knows the exact ground truth. Test, benchmark and improve agents against realistic enterprise workloads, use the failures for targeted post-training, then rerun the same environment to measure the impact. Huge thanks to our research partners @NVIDIA, @Decart, @Composio, @openlayerco, @Deel, @Eragon and @Plurai, with more coming soon.
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13,000+ internal images. 300+ organizations. 900+ repositories. Publicly exposed on GitHub. New research from Glow Labs found AI coding agents exposing customer records, internal financial systems, unreleased product features, and other sensitive development work. No attacker involved. No credentials stolen. Just an agent trying to finish the job it was given. That’s what makes PixelLeak important. AI agents can find their own ways around technical limitations, creating security risks that existing controls weren't designed to catch. Our latest Glow Labs research breaks down what we found, how PixelLeak happens, and what security teams can do to find and prevent this exposure. Read the full research: glow.io/blogs/how-ai-agents-… #InfoSec #AISecurity #AppSec #EndpointSecurity #GlowLabs
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Dean Meyer retweeted
Coverage of Israel is the anomaly that breaks all normal media patterns— in duration, volume, and sentiment. On US cable news, Sudan's actual genocide (est. 400K deaths) topped 1% of airtime on only 8/390 days, as it grew worse. Israel, after Oct 7, exceeded 1% on 344/365 days.
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Dev is as good as it gets. “The hardest calls are made in isolation” is written by someone who has made them. He took Mongo public and grew it into one of the most widely used databases in the world. Before that he founded BladeLogic and took it public. We’re very lucky to have him join @sequoia to back the next generation of builders in infrastructure and AI.
Being a founder is one of the loneliest roles there is. Everyone's livelihood rides on your decisions, but no one else carries the same weight of responsibility. The hardest calls are made in isolation, and you own the outcome either way. The job is only getting harder. AI is changing what companies build, what small teams can do, how they reach customers, and the capital required to scale. The rate of change is accelerating, so the advantage goes to whoever learns and adapts fastest. Yet the decisions that determine whether a company lives or dies haven't changed. Nailing product-market fit. Constructing an effective go-to-market engine. Building a cohesive leadership team that can scale. Knowing when to raise, and how to allocate capital you may never get a second chance to deploy. Get these wrong, and no technology saves you. Few firms have helped founders answer those questions longer, or better, than Sequoia. For over fifty years, it has backed founders early and stayed with them as they built enduring companies. What's struck me most, though, isn't the track record. It's the institution. Sequoia has treated the firm as something to be perpetuated, not a vehicle for individual partners. It approached succession with unusual care and reinvented itself as markets shifted. That mindset is why it endured while firms that once stood beside it disappeared. I've seen how they operate up close. My relationship with Sequoia goes back 16 years. I met Doug Leone in 2010, and for over 11 years I worked closely with Roelof Botha at MongoDB, where Sequoia was our largest investor. I saw firsthand how they behaved when we were winning and when we faced our hardest calls. The advice was thoughtful, the feedback direct, the support consistent. They understood that being a good partner doesn't mean always agreeing with you. It means being honest, staying engaged, and prioritizing the company's long-term interests. After nearly three decades of building, leading, and investing in technology companies, I'm joining Sequoia as a Senior Advisor. As both an operator and an investor, I've lived through the questions founders face. Helping the next generation answer them is exactly where I want to spend my next chapter. sequoiacap.com/people/dev-it…
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Omri went from the NBA to building one of the best early-stage firms we work with. And he still has a heart of gold. Just the beginning @Casspi18!
We’re proud to announce Swish III, a $250M early fund, bringing Swish Ventures to $800M in total AUM. I started this firm to spend my career supporting the artists who build and shape the future. The technology shift underway is unlike anything we’ve seen. We plan to stay true to our colors: few investments a year, real concentration and partnership. Grateful to the founders we get to work with, who inspire so much of how we work, and to our LPs for walking this path with us. We are more locked in than ever. Omri
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AI supply chain risk is going to 100x in the next year. @air__security have built the first agentic firewall that works at scale. Proud to partner with these guys!
WE'RE ON AIR! 𝗔𝗜𝗥 𝗶𝘀 𝗼𝗳𝗳𝗶𝗰𝗶𝗮𝗹𝗹𝘆 𝗼𝘂𝘁 𝗼𝗳 𝘀𝘁𝗲𝗮𝗹𝘁𝗵 - 𝘄𝗶𝘁𝗵 $𝟱𝟬𝗠 𝗶𝗻 𝗳𝘂𝗻𝗱𝗶𝗻𝗴 𝗹𝗲𝗱 𝗯𝘆 @sequoia , and @Greenoaks . We started AIR with a simple belief: as AI agents become more capable, the security model around them has to evolve. Agents are no longer just generating answers. They’re connecting to tools, skills, MCPs, plugins, websites, and internal data - and taking real actions across the enterprise. Today, we’re introducing the 𝗰𝗼𝗻𝘁𝗲𝘅𝘁 𝗳𝗶𝗿𝗲𝘄𝗮𝗹𝗹 𝗳𝗼𝗿 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀: a new security layer built to continuously analyze what enters an agent’s context, control what can run, and stop threats in real time before they turn into action. We’re incredibly grateful to our investors, partners, customers, and everyone who believed in us early. This is a huge milestone for our team, and an even bigger beginning ❤️ Read our full story in the first comment 👇
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February: no frontier model could solve Irregular's hardest exploitation task. By April: the best one could, occasionally, for ~$2,000. By June: several could, reliably, for ~$20. Over the next year, we will likely enter a period where AI's offensive capability outpaces defense at scale. @dan_lahav and the @Irregular team are truly at the frontier of AI security, as major partners to the frontier labs. This is the most detailed and thoughtful account of where AI security is today, where it's headed, and what we can do now so defenders don't fall behind.
𝗧𝗵𝗲 𝗘𝗻𝗱-𝗦𝘁𝗮𝘁𝗲 𝗙𝗮𝗹𝗹𝗮𝗰𝘆: 𝗪𝗵𝗲𝗿𝗲 𝗜𝘀 𝗔𝗜 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗚𝗼𝗶𝗻𝗴? Frontier AI models had a giant performance gain in coding in the Fall of 2025 Then with cybersecurity in April This is now happening with open-weight models We are optimistic about the long-term But outside of a few players, we believe the world is not ready in the short-term
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Dean Meyer retweeted
Meet Lucy 2.5, our most advanced Live AI model yet. Lucy edits videos in realtime, now with more capabilities and greater control. See how it's being used across streaming, e-commerce, advertising, and more 🧵
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There are no better investors in the business than @Alfred_Lin and @gradypb, and they're even better leaders. The future is bright for @sequoia.
We got the inside scoop on Sequoia's @Alfred_Lin & @gradypb era for Bloomberg Businessweek. Bigger checks. Evolving fund structures. New pools of capital. And an intense focus on speed and rigor across the partnership as the next wave of tech becomes decidedly more physical. Latest w/ @RebeccaTorrenc5 & @EdLudlow bloomberg.com/news/articles/…
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Dean Meyer retweeted
Agents aren’t coming. They’re already at the door. Ora lets them in. @telnyx, the leading voice platform for real-time AI agents, is already acting on it with Ora: 30%+ of their agent signups now convert to paid. Read the story: ora.ai/blog/telnyx-agent-rea…
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Dean Meyer retweeted
We appreciate @AnthropicAI's collaboration and transparency. Addressing these risks will require closer cooperation across the AI ecosystem. We as well look forward to working together with Anthropic to advance security.
In a review of our cybersecurity evaluations, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations. Our post describes what happened, how it happened, and what we’re changing. We encourage other AI developers to perform similar reviews. We conducted this review together with @Irregular, one of our evaluation partners, and thank them for the joint investigation and their collaboration on this post. This type of collaboration is increasingly critical to safe, rigorous evaluation of models, and we look forward to continuing to work together on security. anthropic.com/news/investiga…
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Frontier compute will likely get 10x more expensive. But the price of useful intelligence will likely still collapse. We need a CPI for intelligence... What does it cost to get the same real work done to the same standard?
New blog post on what would be true about the world if trendline continues and leading lab hits $1T in revenue by the end of next year. In other words, why compute might get 10x+ more expensive in coming years dwarkesh.com/p/why-compute-m…
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Dean Meyer retweeted
Must read.
When I was a lawyer at Gibson Dunn in D.C., we took our summer associates to the U.S. Holocaust Memorial Museum. A survivor spoke to us and said something that stuck with me: Lawyers need to know the holocaust did not begin with camps. It began when Jews were removed from institutions - above all, legal institutions. Judges stripped of their robes. Lawyers disbarred. Then, when law-groups were Judenrein, they codified laws that made discrimination systematic and "legal." First, you remove the Jews from the institutions. Then, Jews can be discriminated against without representation. On Monday, Mayor Mamdani announced his 18-member Advisory Committee on the Judiciary. The Committee was promised to be "truly reflective of New York City." Not one of the 18 is Jewish. Not one Jewish attorney, former judge, or law professor - in a city where one in eight residents is Jewish and even Justice John Leventhal, recommended by the State's Chief Judge, was rejected. It is estimated that over 50% of the New York bar is Jewish. That means there is a 0.0004% chance of no Jews being selected to the Committee. Mamdani’s marginalization of Jews has been ongoing, and few voices on the Left have spoken up. On Day 1, Mamdani revoked the IHRA antisemitism definition (top priority); he changed the NYPD guidance protecting houses of worship, eliminated Jews from the City's immigrant-heritage map, called for the arrest of the prime minister of the only Jewish state, and now created a Judenrein Judiciary Committee. My grandmother, Leah, survived Nazi Germany. Before the laws, before the violence, she told me how she was pushed out of her high school groups. Then, once excluded from all activities, she was bullied and marginalized. We are already seeing Step 2 in NYC. Two weeks ago, on a Jewish Holiday, two men were stabbed outside Upper West Side synagogues - one wearing a kippah- and yesterday, Jewish students were attacked. Every 26 hours, there is a hate crime against Jews in NYC. In NYC, there is a concerted effort to disappear Jews from public life and leadership. No one on the Left is speaking out. If this discrimination was happening to any other group, the chorus would be deafening. To be clear, Jews will find a way. Many are already taking their talents elsewhere. When white-shoe firms shut Jewish lawyers out, they built firms that now dominate. Cardozo, Louis Marshall, and Ruth Bader Ginsburg all found a way despite discrimination. But NYC will be worse off without us. A city government that is judenrein - cleansed of Jews – does not just hurt the Jews, but hurts the city. The tragedy is not just that Jews were left out of the institutions. It is that the institutions were left without the Jews. If you see this and have not yet spoken out, I encourage you to do so.
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"Give a man an 0day and he'll have access for a day, teach a man to phish and he'll have access for life." — @thegrugq
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Always fun talking about AI & Security w the @tbpn legends!
Sequoia Partner @DeanMeyerrr says there are two major risks to relying on a Chinese open-source ecosystem: dependency and security. "The first risk is dependency. The framing we have at Sequoia is we're only as good as our next investment. In some sense, the analogy is you're only as good as your next model. So as long as you're dependent on the Chinese to give you the next model, you're in a weird position where you have this dependency." "The other thing is just the risk of backdoors. It's an NP-hard problem to know if there is a backdoor in a model that we know. So it's impossible to verify." "The state of AI security today is very similar to the early days of the Internet when Wi-Fi encryption was publicly broken and no one did anything. I don't even think we're at that moment yet." "It's going to get really bad if we don't better understand how to secure these things and build our own independent ecosystem."
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Dean Meyer retweeted
Sequoia's @deanmeyerrr: "If distillation is real, the question is, how do we address the asymmetry?" "Western companies aren't going to set up 35,000 proxy accounts to steal from Anthropic." "There *is* a structural asymmetry, and it's something we have to think about." "The gap between closed and open source has closed a lot." "And the key conversation online, over the past week, was distillation the reason for this? Or is there some other, mysterious reason?" "The truth is, from the conversations we've had, is that it's somewhere in the middle." "Whether it's 20% or 40%, it doesn't really matter as much. But it's meaningful that we know it's happening." "We know from the labs that there's 10s of millions of queries through these large-scale proxy distillation accounts." "We also know, if you speak to anyone who's leading in synthetic data gen on pre- or post-training at the labs, they will tell you that even if you do hardcore KYC, and then just get access to the output (let's assume you just get the output from the prompt), it is still extremely valuable." "That is 100% true. We know distillation is real."
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We’ve raised $300M in Series C funding at a $10.3B valuation from Sequoia, Andreessen Horowitz, Jane Street, Argo, and SK Hynix. Our mission is to run the world's inference. This round accelerates production of our inference clusters. We've opened an 80,000-sqft, 10-MW facility 15 minutes from our office to expedite production and prototyping.
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Deploying a foreign-pretrained model in critical infrastructure today is like connecting a government network to the public internet in 1996 and assuming your firewall will save you.
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For the Star Wars fans: it’s like discovering Palpatine is the Sith Lord after you already gave him control of the Republic…
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