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Maxim Bar Kogan
@maximbarkogan
Co-Founder and CEO at Onyx Security. Previously VP Product & Engineering at Mixtiles. Trying to figure out twitter since 2012.
1.3K Following    587 Followers
Very satisfying to watch Grok Bot clicking on “I am a human”
What’s the easiest way to spin up 10 new agents, based on Claude Code but with different connectors and skills each, that will be accessible as agents in my company slack?
Do academics explaining why the latest OpenAI result is actually not that impressive know how lame it looks?
"a model produced a proof with very little human input". a large team of experts brainstorm and coordinate on ideas for approaching a hard problem. resulting leads were then sent to ai models, each idea in a diff session. one run succeeded. "with very little user input".
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Incredible! Go @j0nathanj
We just did the largest live deployment of interactive robots in history. Users online could ask the robot to do things it was never taught to do. A true foundation model, with 0 task-specific data and 0 task fine tuning. 1/10
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A monumental moment calls for a monumental billboard. 🙌 To celebrate our $113M Series B, Onyx Security lit up the Nasdaq Tower in Times Square, bringing our mission to control advanced AI to one of the world’s most iconic stages. Seeing Onyx shine above the heart of New York City was a surreal reminder of how far we’ve come in two years and how much lies ahead. Thank you to our customers, employees, partners, and investors for helping us reach this milestone. The future is bright. Very, very bright. Our CEO @maximbarkogan shares the significance of this moment in his latest blog post: @BessemerVP, Cyberstarts, TCV, @conviction, @FirstMarkCap, @Vintage_Inv, @QuantumLightVC, G Squared
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applications for Embed now open, due 8/10 Embed is a Schelling Point for the best early stage founders. cash, compute, community, & a catalyst past participants were dropouts, leading researchers and repeat founders alumni have raised more than a billion dollars links in🧵
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We started Onyx two years ago with the mission to control advanced AI. Today, we’re announcing our $113M Series B led by @BessemerVP, and partnering with Cyberstarts, @TCVTech, @FirstMarkCap, @conviction, Vintage, QuantumLight and G Squared. As we enter the age of superintelligence, our mission becomes more critical. We are just getting started! @amitkarp @morgangerlak @spdholakia @HZinshtein @giliraanan @saranormous @DavidWaltcher @iren_reznikov @SpencerMcLeodVC
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Palo Alto secured traffic at the application layer when business software moved to the web. CrowdStrike shipped a cloud-native sensor when work left the perimeter and the laptop became the frontline. Wiz built a graph-first CNAPP when cloud adoption accelerated. The largest companies in cyber get created during secular platform shifts. Each one of those shifts changed how we work. This time, it's also changed who's doing the work: agents. To do so, they inherit the same permissions and access as the humans they act for, which makes them a highly privileged and capable threat vector operating at superhuman speed. @maximbarkogan and @gil_elbaz_ saw that coming before anyone, and founded @onyx_security to build the category defining control plane to govern and secure agents. Security tools were built to watch deterministic software and human-led workflows. They can't govern a non-deterministic model chaining tool calls against inputs nobody vetted in advance. Onyx's bet is that only AI can: proprietary models sitting in the runtime path, inspecting every agentic action and blocking or redirecting it before it reaches a downstream system with warp speed and accuracy. Excited to be backing Maxim, Gil, and the Onyx team in their $113M Series B, alongside our friends at @BessemerVP, @Cyberstarts1, @conviction, and @TCVTech. cc @sullivan @amitkarp @saranormous @HZinshtein
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Humbled to be working with @saranormous. She’s incredible at cutting through my BS and reorienting every conversation around what actually matters, in a way that kinda makes me feel dumb at times but also makes me want to come back for more advice…
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In 2018, Sarah Guo became the youngest general partner in Greylock's 60-year history. She was 28. Four years later, she quit to launch Conviction, a firm staked entirely on AI. Before ChatGPT shipped, she seeded Baseten and Harvey; each is now worth over $11 billion. In Conviction's first year, she wrote early checks into Sierra, Cognition, and Mistral; those three companies are now worth, together, $54 billion. Andrej Karpathy worked out of Conviction's office until Anthropic hired him in May. Guo has been close to Jensen Huang for over a decade. Her first two calls after starting the firm were to Sam Altman and Nat Friedman. And yet the investor closest to the AI frontier is betting against its biggest companies. The two big frontier labs, worth close to a trillion dollars apiece, no longer just want to build the models. They also want to build every product and company on top of them, leaving nothing for anyone else. The market is paying as though they might succeed. Of the $300 billion in venture capital deployed in the first quarter of 2026, the biggest quarter in the history of the trade, 65% went to only four companies: Anthropic, OpenAI, xAI, and Waymo. Guo is betting the labs can't build everything, and she spends her days making sure of it. She won Harvey its first client. She flew across the country to take a single Baseten candidate to a four-hour lunch. On one wedding anniversary, she spent the whole weekend on back-to-back calls, keeping two founders on the line so they couldn't speak to rival firms. Twice a year, she flies the world's brightest young founders to San Francisco and inducts them into the fight. In the months @domcooke spent reporting this piece, @saranormous had her fourth child, walked the Met Gala in 45 pounds of chainmail, and still answered her founders' texts within minutes. Guo's parents arrived from China in 1987 with $50, built a company, and took it public at $1.2 billion. Then it went bankrupt. Guo grew up inside that startup. She built its first website, did her homework in a cubicle, and slept over for bug bashes. She loved it. If two labs build everything, no one gets to do that again. Welcome to Sarah's Wager. Read it below.
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A huge amount of the Anti-AI code sentiment massively overestimates the quality of human code outside of a very small set of open source and high quality company codebases. Human Slop is everywhere and can trivially be improved on by any opus level model.
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