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Articles by Royal
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Growing Up Sick
Growing Up Sick
“A healthy [child] wants a thousand things, a sick [child] only wants one.” - Confucius Many of you know that my son is…
1,718
405 Comments -
Remembering LuizSep 22, 2023
Remembering Luiz
Luiz was a phenomenal technologist, engineer and academic—as so many are commenting on. But he was also, as many are…
582
25 Comments -
Camille Stewart - #ShareTheMicInCyberJun 26, 2020
Camille Stewart - #ShareTheMicInCyber
As part of the #ShareTheMicInCyber campaign, I have the pleasure of sharing a bit about one of its co-Founders, Camille…
13
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A Unicorn’s Unorthodox, Unlikely Pathway into CybersecurityJun 26, 2020
A Unicorn’s Unorthodox, Unlikely Pathway into Cybersecurity
by Devon Rollins I am a unicorn in cybersecurity. I received the unicorn tag because there are so few black leaders in…
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Activity
33K followers
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Royal Hansen reposted thisRoyal Hansen reposted thisQuality of life updates to Google AI Studio we just shipped (using Gemini): - You can now (optionally) save a temp chat in the playground - You can now turn a playground chat into an app in 2 clicks - Updated colors for playground to add some soul to it - Simplified the mobile vibe coding UI (chat panel) - Hide the edit title button for an app unless you hover on it - Simplify the input text box when vibe coding on both desktop and mobile - Make sure AI Studio persists the last part of the product you visited (build, playground, dashboard) - Set a default media resolution in the playground - Made the diff visualizations more simple in the build UI - Mobile optimize the feedback and bug UI modal - Make it easier to see feature chips in Build - Fix ordering of Search Grounding and Maps Grounding - Rename the Vibe coding Code Assistant to just Gemini - Add a STT button in the playground - Make sure Nano Banana 2 correctly shows the API key popup - Show all categories in the model drop down for the AI Studio playground without needing to scroll Many more in the works : ) big thanks to the engineering team and Gemini for partnering on these changes with me!!
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Royal Hansen reposted thisRoyal Hansen reposted thisVery excited to see my article on Safe Coding in print in the current issue of CACM. Since every LinkedIn post these days seemingly has to have an AI angle, here's mine: Safe Coding and its underlying software design patterns are designed to prevent subtle coding mistakes that lead to common kinds of defects, especially security related ones. These patterns were originally developed when code was written, and the occasional mistake made, by human developers. However, they work just as well when code is written by AI, and might become even more important: When AI writes code at a rate that far outpaces human experts' capacity to review and deeply understand it, we need scalable ways of ensuring critical correctness and security invariants (such as memory safety) that *don't* rely on human line-by-line review of the entire codebase. That's exactly what Safe Coding is designed to provide. Read the full article here: https://lnkd.in/ghBRi_8H
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Royal Hansen shared this"Suspected North Korean hackers are believed to be behind an ongoing compromise of the widely used open-source package Axios, which is downloaded millions of times per week, researchers at Google said Tuesday." https://lnkd.in/gZBkrp-TNorth Korean hackers implicated in major supply chain attackNorth Korean hackers implicated in major supply chain attack
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Royal Hansen reposted thisIt’s finally here: Google account usernames are now changeable for US users. While it sounds like a simple toggle, the "under the hood" engineering required to make this work across the entire Google ecosystem (and the rest of the internet!) is staggering. A massive shoutout to the team for tackling this mountain of technical debt to deliver one of our most-requested features. You can now move on from that hoobastank4lyfe@ address that sounded so cool in 2004. Check out this post for more: https://lnkd.in/ghS7xG5BRoyal Hansen reposted thisTag your friend or co-worker who needs to hear this: If you’re a U.S. Google user, you can now change your account username for tools like Gmail, Photos, Drive and more — while keeping your emails, data and account history. Here’s what to know: 1️⃣ You can choose any available @gmail.com username. 2️⃣ Your old username will become an alias, so you won’t lose access to it. You can still sign in and send and receive emails with both usernames. Plus, you can also revert to your old username. 3️⃣ You can choose a new username once a year — up to three times total. Here’s more information to get started --> https://goo.gle/4v3g1ry
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Royal Hansen shared thisI've been dreading the task of organizing ~70 pages of notes on #longcovid and #mecfs but last night while I watched baseball with my chronically ill son, Google Gemini turned it into a nice categorized and summarized list. (before and after below)
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Royal Hansen reposted thisRoyal Hansen reposted thisWe’re scaling the World’s Most Experienced Driver internationally 🇯🇵 We recently gathered with local media in Tokyo to share a glimpse into our journey of bringing autonomous driving technology to Japan. Through our collaboration with Nihon Kotsu and GO, the Waymo Driver is currently learning and navigating the unique complexities of Tokyo’s streets. Read more here: https://lnkd.in/gbXCbea3
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Royal Hansen reposted thisRoyal Hansen reposted thisThe most interesting thing in tech: Google has moved up the day in which it thinks that quantum computers might be able to crack most of the encryption we currently use, from 2031 to 2029. Here's how it works; here's what caused the change; and here's what you need to do.
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Royal Hansen shared thisEasy to migrate your chat history and context to Google Gemini - I'm currently using it to turn 60 pages of links and notes on #longcovid and #mecfs into a better organized doc for engaging the scientific, clinical and philanthropic communities https://lnkd.in/g8ShQAZEYou can now transfer your chats and personal information from other chatbots directly into Gemini | TechCrunchYou can now transfer your chats and personal information from other chatbots directly into Gemini | TechCrunch
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Royal Hansen shared thisHelpful additional detail from the Quantum team at Google on the urgency of post quantum crypto migration and crypto-agility more generally - Hartmut Neven and Ryan Babbush https://lnkd.in/gh3iAzbaSafeguarding cryptocurrency by disclosing quantum vulnerabilities responsiblySafeguarding cryptocurrency by disclosing quantum vulnerabilities responsibly
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Royal Hansen liked thisRoyal Hansen liked thisQuality of life updates to Google AI Studio we just shipped (using Gemini): - You can now (optionally) save a temp chat in the playground - You can now turn a playground chat into an app in 2 clicks - Updated colors for playground to add some soul to it - Simplified the mobile vibe coding UI (chat panel) - Hide the edit title button for an app unless you hover on it - Simplify the input text box when vibe coding on both desktop and mobile - Make sure AI Studio persists the last part of the product you visited (build, playground, dashboard) - Set a default media resolution in the playground - Made the diff visualizations more simple in the build UI - Mobile optimize the feedback and bug UI modal - Make it easier to see feature chips in Build - Fix ordering of Search Grounding and Maps Grounding - Rename the Vibe coding Code Assistant to just Gemini - Add a STT button in the playground - Make sure Nano Banana 2 correctly shows the API key popup - Show all categories in the model drop down for the AI Studio playground without needing to scroll Many more in the works : ) big thanks to the engineering team and Gemini for partnering on these changes with me!!
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Royal Hansen liked thisRoyal Hansen liked thisVery excited to see my article on Safe Coding in print in the current issue of CACM. Since every LinkedIn post these days seemingly has to have an AI angle, here's mine: Safe Coding and its underlying software design patterns are designed to prevent subtle coding mistakes that lead to common kinds of defects, especially security related ones. These patterns were originally developed when code was written, and the occasional mistake made, by human developers. However, they work just as well when code is written by AI, and might become even more important: When AI writes code at a rate that far outpaces human experts' capacity to review and deeply understand it, we need scalable ways of ensuring critical correctness and security invariants (such as memory safety) that *don't* rely on human line-by-line review of the entire codebase. That's exactly what Safe Coding is designed to provide. Read the full article here: https://lnkd.in/ghBRi_8H
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Royal Hansen liked thisIt’s finally here: Google account usernames are now changeable for US users. While it sounds like a simple toggle, the "under the hood" engineering required to make this work across the entire Google ecosystem (and the rest of the internet!) is staggering. A massive shoutout to the team for tackling this mountain of technical debt to deliver one of our most-requested features. You can now move on from that hoobastank4lyfe@ address that sounded so cool in 2004. Check out this post for more: https://lnkd.in/ghS7xG5BRoyal Hansen liked thisTag your friend or co-worker who needs to hear this: If you’re a U.S. Google user, you can now change your account username for tools like Gmail, Photos, Drive and more — while keeping your emails, data and account history. Here’s what to know: 1️⃣ You can choose any available @gmail.com username. 2️⃣ Your old username will become an alias, so you won’t lose access to it. You can still sign in and send and receive emails with both usernames. Plus, you can also revert to your old username. 3️⃣ You can choose a new username once a year — up to three times total. Here’s more information to get started --> https://goo.gle/4v3g1ry
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Sonya Huang
Sequoia Capital • 13K followers
Today on Training Data: Sanjit Biswas, founder & CEO of Samsara (NYSE:IOT) and former Sequoia Capital-backed founder of Cisco Meraki Sanjit shares the ups & downs of running neural nets on constrained compute and power footprints in the real world, ~2-10 watts Physical AI is hard 🫡 Listen to the full episode: Apple: https://seq.vc/mze Spotify: https://seq.vc/zq3 YouTube: https://seq.vc/185b91
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4 Comments -
Neil Tewari
Conversion • 17K followers
Honored to have been invited to fal and Henry Shi’s Lean AI Leaderboard Celebration Dinner, celebrating some of the leanest and fastest-growing startups in SF. Here are some of the most overwhelming trends that were discussed among high-growth companies working with small, high-output teams: 1/ Headcount is no longer used as a success metric. As Henry Ward said, “Hiring means we failed to execute and need help.” Headcount is not a flex measure anymore. People aren’t asking “How big is your team?” anymore. They’re asking “How many customers do you have?” 2/ They're finding ways to leverage AI across every function. Every engineer uses Cursor or Windsurf. Every GTM leader is in Clay. The most efficient teams are built AI-first across the board. Thank you to Henry Shi, Burkay Gur, and Gorkem Yurtseven for putting this all together!
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Priyanshu Ghosh
Oru'el • 8K followers
Oru'el's primary traction came in December when I met Pratyush Kumar of Sarvam at an event. "More compute without adding more GPUs, how?" he asked and we strolled off the event for 20 odd minutes. I explained to him what happens BTS, how does 'predciting' GPU failures affect this and how Foundational AI companies, and ultimately users, suffer. The sad part is, this is not something anyone could have controlled. It's really hard to predict as well. Grey failures is one of the biggest problems with GPUs and as quoted by Meta, 58% of their training run failures during Llama 3 were GPU related! Last week, Ajith and Nihith finalised the models and the architecture for our MVP. It outperforms what Bytedance did by a margin. Tho, there's no formal benchmark that exists, we would soon make one. Every SRE we have talked to told us the same 3 things : - We don't know when it would fail - We don't know why it would fail - We don't know what is the cause of failure until thorough post-mortem And since engineers don't really care about CapEx, the billions lost monthly across the world is just another headache. Oru'el's system works on pinpointing failures, telling you particular GPU about to fail, the cause of it and how much time is left to act with an actionable that they can swiftly follow. Latency? sub-milisecond. This is an SRE's dream come true. Predicting GPU failures be it for training or inference not only optimises the work flow but also calls for maintenance -- not on scheduled calendar but when you need it. This also tells you the 'health' of a GPU in real time, treating Silicon like a living being. Oru'el will be piloting soon and we have got our first prospects to work with. Everytime we cold called and talked about this to the decision makers, we never got a 'no' and that's a sign you know this industry needs physics to solve a physics problem -- not RL slapped on stats. oru-el.com
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Taylor Soper
GeekWire • 7K followers
Big M&A news in Seattle startup land as Palo Alto Networks plans to acquire 3-year-old cybersecurity company Protect AI, ranked No. 10 on the GeekWire 200, our list of top tech startups across the Pacific Northwest. It's part of a growing cohort of cybersecurity startups that are based in the Seattle region or have a significant presence in the area. Read more: https://lnkd.in/gfx_pXkS
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Pavel Livshiz
Hetz Ventures • 5K followers
Lots of news out of Hetz Ventures portfolio today - Nimble announced their $47M Series B, led by Norwest with participation from Databricks Ventures. We've been proud to back Uriel Knorovich, Menachem Salinas and the entire Nimble team since early on, turning the live web into trusted, decision-grade data for AI agents and mission-critical workflows. Tonic Security launched the Tonic Mobilization Coordinator, the industry's first agentic remediation orchestrator. It automatically drives exposure remediation end-to-end, moving security teams from knowing they have risk to actually reducing it, continuously and at scale. Well done Sharon Isaaci, David Warshavski and Gregory Ainbinder. Anima launched their UX Design Agent on Product Hunt today: https://lnkd.in/demUMrUX. Designers and product teams can now go from prompt, Figma file, or live website to on-brand, production-ready frontend code in a single shot. Deepchecks released Know Your Agent (KYA), their answer to evaluation in the agentic era. Borrowing from the KYC framework in financial services, it gives teams a structured way to understand how their agents actually behave across complex multi-agent workflows. #proudseedinvestor https://lnkd.in/dyGTAHcg
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Jianchang (JC) Mao
Fellows Fund • 3K followers
I was honored to host a fireside chat with Sherwin Wu, head of engineering for OpenAI API at last week's Fellows Forum 2025 organized by Fellows Fund. Sherwin shared his incredible journey at OpenAI in scaling OpenAI's developer platform and building its vibrant ecosystem, and his deep insights into various topics we covered. A few quick notes: Model Evolution & Platform Development: Outlined 3 major model capability inflection points 📍GPT-3: Limited to copywriting applications 📍GPT-3.5/4: Enabled the post-ChatGPT explosion (Perplexity, Snapchat integrations) 📍Reasoning paradigm (O1): Unlocked long-term planning for coding and autonomous agents Lessons from GPT-5 launch 📍Latency concerns: Model's extensive thinking time frustrated users 📍Product showcase mismatch: ChatGPT interface didn't effectively demonstrate the model's capabilities 📍Learning: Future major launches will pair API releases with first-party products that better showcase model strengths Unexpected use cases 📍Consumer apps like enabling toys for kids to chat with Common patterns in startups that successfully leverage OpenAI models and API 📍Most successful startups "swim with the current" - building products that push models to their limits and position for future capabilities rather than current limitations Common patterns in enterprises that successfully leverage OpenAI models and API 📍Common use cases include internal productivity enhancement (e.g., using Codex) and customer interaction transformation (support, sales automation) Barriers in enterprise Adoption 📍Lack of both top-down and bottom-up organizational buy-in (top-down alone is not sufficient) 📍Insufficient AI-ready infrastructure and data platform investment Responsible use: OpenAI is investing in 📍Pre-launch Red-teaming in Model Development 📍Post-launch monitoring 📍Tools to help developers manage safety risks, build guiderails, and setup evals Exciting future breakthroughs 📍Excitement centers on advancing the reasoning paradigm (longer thinking periods) and multimodal breakthroughs, particularly in voice interactions that feel more naturally conversational Full fireside chat video: https://lnkd.in/gJzjzMBm
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Maria Palma
Freestyle Capital • 7K followers
On-Prem is the New Cloud: Why Enterprises are Reversing Stance in the Age of AI Remember when cloud was the battleground for innovation, agility, and scale? Everyone was tracking the % of on-prem compute moving to the cloud and it was growing every year? Well now there’s a reversal. The reality today? On-prem is the new cloud. Here’s why. AI’s Dark Side: Legal Risk and Data Governance Headaches Enterprises are excited about AI, but also uneasy as vendors like OpenAI face intensifying legal pressure. In a high-stakes lawsuit, a judge ordered OpenAI to preserve all ChatGPT chats (even deleted ones), overriding its 30-day deletion policy. Imagine that: you delete sensitive conversations, but they’re still sucked into legal limbo. The precedent is clear: AI prompts and outputs are discoverable records, demanding integration into enterprise ESI (Electronic Stored Information) policies. For large organizations handling sensitive data, the risk is simple: you can’t afford your AI tools to turn into legal liabilities. Especially when global regulations (GDPR, etc.) and internal governance collide with unpredictably broad discovery orders. Sovereignty, Control, Trust Many enterprises still ban ChatGPT or impose strict rules on usage. Even when allowed, token limits are throttled. Enterprises are cautiously letting AI in (as they should). Enterprises need to have control and trust. SAP is leaning into this with its Sovereign Cloud On-Site, deployable on customer premises with SAP-managed infrastructure. It is built to deliver data, operational, technical, and legal sovereignty in one package. Doubt it will be the last. Scaling Pains Talking to founders, three reasons stand out why cloud isn’t scaling with AI: 1/ The rate at which AWS/GCP lets you provision compute and the compute it wants you to provision both falter as AI and AI driven developers deploy a lot more code more frequently than before. So sometimes it’s not about data governance, but actually about performance and functionality. 2/ Shadow AI is rampant—employees paste sensitive info into models despite restrictions—creating demand for better permissioning tools. 3/ Data leakage remains a live risk, like the August 2025 Grok incident where hundreds of thousands of private chats became publicly accessible and indexed. One thing is for sure - founders selling into the enterprise are scaling faster if they offer the ability to run on-prem. The Future is Hybrid Don’t get me wrong - cloud is not going anywhere. But neither is on prem. A few years agoI thought we were headed for a full cloud shift, but now I think the future is truly hybrid.
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