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Most engineering teams are stuck patching vulnerabilities. Chainguard ⛓️ provides them with secure OSS, continuously rebuilt from source. ☑️1,400+ hardened container images ☑️98% fewer CVEs than standard OSS ☑️Production-ready by default We sat down with CEO Dan Lorenc in our SF office to talk about the risks in today’s...

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Kleiner Perkins

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30,025 Aufrufe • vor 1 Jahr •via X (Twitter)

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Kleiner Perkinsvor 1 Jahr

Thanks to Allie Garfinkle for covering Chainguard's story in Fortune:

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Kleiner Perkinsvor 1 Jahr

Read more about why we invested in Chainguard from @EverettRandle, @mamoonha and @LucasLGOliveira⬇️

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Kleiner Perkinsvor 1 Jahr

Our full interview with Dan Lorenc ⬇️

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GitProtect.iovor 2 Jahren

Automated GitHub, GitLab, Bitbucket and Jira backups, security compliance, data migration and every-scenario-ready Disaster Recovery for 360 cyber resilience. Schedule a custom demo or try 14 days for free.

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Andrew Brackinvor 1 Jahr

@chainguard_dev @lorenc_dan @EverettRandle I have the same green ALD shirt

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GM! Thanks for sticking with me through these long posts as we dive into the complexities of Kaidro. Today, let's talk about the development of our animation series. We haven't discussed this much because it's quite detailed. Where are we with the animation series development? It's a complex answer because our IP spans multiple mediums. Here's a simplified breakdown: - Learning from Anime: Like popular series such as "Fullmetal Alchemist," "Naruto," and "One Piece," where manga serves as the storyboard for anime, we've taken a similar approach but with a twist. - Starting with the end in mind: We began by creating 3-D assets in Unreal Engine 5 for our Webtoons and print manga. This choice allows us to use the same high-quality assets for cinematic TV, movies, and games, reducing costs and enhancing consistency. - Asset Reuse: By developing assets once for high-quality output, we can use them across comics, games, and animations. This method, similar to what was done in "Arcane," involves hand-painting over 3-D models for a unique look. - Cost and Efficiency: This approach isn't common due to its difficulty and the need for story consistency. However, it allows for smarter production, echoing the methods of visionaries like Disney and Hanna-Barbera, ensuring we can sustain and grow our IP like Pokémon. Current Status: - Pre-production: We're well into preproduction, with story development, storyboards, color scripts, and asset creation nearly complete. This groundwork usually takes years but we're ahead. This is because what I listed above are the mangas. Each manga counts as two episodes. And because each of those are fully developed, we have all the information we need to develop an episode. - Production Timeline: We're set to move into full production in 2025. Post our animation lock-up system with the community we am to go into full production after that in January. - Quality and Speed: An example of our efficiency is the cinematic for December 18th, where we reused game assets for backgrounds, finishing 43 scenes in just a month, which is exceptionally fast. Why This Matters: - For Investors and Community: This strategy not only reduces costs but also extends the life and reach of Kaidro, ensuring long-term success. We're significantly further in our animation development than most Web3 projects, maintaining high quality while pushing boundaries. Our hyper focus is on the production pipeline to allow for the anime to come to life. LFG $KDR
9:43

GM! Thanks for sticking with me through these long posts as we dive into the complexities of Kaidro. Today, let's talk about the development of our animation series. We haven't discussed this much because it's quite detailed. Where are we with the animation series development? It's a complex answer because our IP spans multiple mediums. Here's a simplified breakdown: - Learning from Anime: Like popular series such as "Fullmetal Alchemist," "Naruto," and "One Piece," where manga serves as the storyboard for anime, we've taken a similar approach but with a twist. - Starting with the end in mind: We began by creating 3-D assets in Unreal Engine 5 for our Webtoons and print manga. This choice allows us to use the same high-quality assets for cinematic TV, movies, and games, reducing costs and enhancing consistency. - Asset Reuse: By developing assets once for high-quality output, we can use them across comics, games, and animations. This method, similar to what was done in "Arcane," involves hand-painting over 3-D models for a unique look. - Cost and Efficiency: This approach isn't common due to its difficulty and the need for story consistency. However, it allows for smarter production, echoing the methods of visionaries like Disney and Hanna-Barbera, ensuring we can sustain and grow our IP like Pokémon. Current Status: - Pre-production: We're well into preproduction, with story development, storyboards, color scripts, and asset creation nearly complete. This groundwork usually takes years but we're ahead. This is because what I listed above are the mangas. Each manga counts as two episodes. And because each of those are fully developed, we have all the information we need to develop an episode. - Production Timeline: We're set to move into full production in 2025. Post our animation lock-up system with the community we am to go into full production after that in January. - Quality and Speed: An example of our efficiency is the cinematic for December 18th, where we reused game assets for backgrounds, finishing 43 scenes in just a month, which is exceptionally fast. Why This Matters: - For Investors and Community: This strategy not only reduces costs but also extends the life and reach of Kaidro, ensuring long-term success. We're significantly further in our animation development than most Web3 projects, maintaining high quality while pushing boundaries. Our hyper focus is on the production pipeline to allow for the anime to come to life. LFG $KDR

Robert Simons | $KDR 🐉

38,221 Aufrufe • vor 1 Jahr

Most people have no clue how far you can get with Cursor AI now. I just filmed a full 3 hour 44 minute build-from-scratch guide showing the exact workflow I use to build production apps with agents, architecture, and revenue-ready features. 💰 If you’ve ever wondered how to build real software with nothing but prompting — and turn those skills into actual income — the full breakdown is right here. 🧱 Tech Stack (Lesson 1) - 00:01:30 🔧 Set Up (Lesson 2) - 00:11:13 🎨 Frontend (Lesson 3) - 00:42:56 🧠 Backend (Lesson 4) - 02:02:13 💰 Monetization (Lesson 5) - 02:58:36 🚀 Launch (Lesson 6) - 03:18:04 Final software we create in this series Take this software for free — it's open-source on GitHub! 🎁 Do you wanna watch this lesson by lesson?
3:44:19

Most people have no clue how far you can get with Cursor AI now. I just filmed a full 3 hour 44 minute build-from-scratch guide showing the exact workflow I use to build production apps with agents, architecture, and revenue-ready features. 💰 If you’ve ever wondered how to build real software with nothing but prompting — and turn those skills into actual income — the full breakdown is right here. 🧱 Tech Stack (Lesson 1) - 00:01:30 🔧 Set Up (Lesson 2) - 00:11:13 🎨 Frontend (Lesson 3) - 00:42:56 🧠 Backend (Lesson 4) - 02:02:13 💰 Monetization (Lesson 5) - 02:58:36 🚀 Launch (Lesson 6) - 03:18:04 Final software we create in this series Take this software for free — it's open-source on GitHub! 🎁 Do you wanna watch this lesson by lesson?

corbin

217,776 Aufrufe • vor 10 Monaten

learned a lot from this conversation with Simon Mo and Matt Bornstein. biggest takeaways for me: -there are a lot of reasons why we should like open-weight models. a lot of these arguments stop at handwavy things like "what if the labs stop releasing frontier models to the public" or "it's lower cost." but simon's position as lead maintainer of vLLM and CEO of Inferact give him authority to talk about some of the other, more interesting and concrete reasons to pay attention to open-weight models, namely that they allow end-users to calibrate latency / other performance metrics with way more customizability than what any of the frontier closed-source labs offer (and without the fear that your job might be met with a refusal at some random point where you're deep in a 2 hour job) -re: the above point...for this reason, a lot of US companies (inferact included!) choose to use open-weight models over their closed-source alternatives. this also isn't limited to internal workloads / research - on a recent a16z podcast the team at Decagon spoke about how something like 90% of their customer service ai agents run on open-weight models that they've fine-tuned. -we should really appreciate how many companies/teams came out researchers fascinated by the wave of very small open-weight models that were being distilled from e.g. gpt-3.5 and earlier models in 2022/2023 (prior to the release of chatGPT!). these small models motivated the development of pagedattention, which then led to vlmm/inferact (at other layers of the stack with similar origin stories, you can look at teams like openrouter or ollama). in other words, we have open-weight models to thank for a bunch of the orchestration infra we now rely on. i think yet another, indirect, way we can point to open-source/weight infra pushing the frontier forward. anyway, a lot more in this convo, it was a lot of fun!
2:50

learned a lot from this conversation with Simon Mo and Matt Bornstein. biggest takeaways for me: -there are a lot of reasons why we should like open-weight models. a lot of these arguments stop at handwavy things like "what if the labs stop releasing frontier models to the public" or "it's lower cost." but simon's position as lead maintainer of vLLM and CEO of Inferact give him authority to talk about some of the other, more interesting and concrete reasons to pay attention to open-weight models, namely that they allow end-users to calibrate latency / other performance metrics with way more customizability than what any of the frontier closed-source labs offer (and without the fear that your job might be met with a refusal at some random point where you're deep in a 2 hour job) -re: the above point...for this reason, a lot of US companies (inferact included!) choose to use open-weight models over their closed-source alternatives. this also isn't limited to internal workloads / research - on a recent a16z podcast the team at Decagon spoke about how something like 90% of their customer service ai agents run on open-weight models that they've fine-tuned. -we should really appreciate how many companies/teams came out researchers fascinated by the wave of very small open-weight models that were being distilled from e.g. gpt-3.5 and earlier models in 2022/2023 (prior to the release of chatGPT!). these small models motivated the development of pagedattention, which then led to vlmm/inferact (at other layers of the stack with similar origin stories, you can look at teams like openrouter or ollama). in other words, we have open-weight models to thank for a bunch of the orchestration infra we now rely on. i think yet another, indirect, way we can point to open-source/weight infra pushing the frontier forward. anyway, a lot more in this convo, it was a lot of fun!

Elena

12,922 Aufrufe • vor 1 Monat

Get Ready for Big Time Rush to Crash Your Campus! We are so excited to finally get the chance to go to college and we NEED YOU to tell us where we MUST VISIT when we’re in your town on our College Dropout Tour. What is something cool or unique about your town or college? Is it a Famous Landmark, a Historic Statue or Quirky Convenience Store? You tell US by posting a video on social about where we need to go, and why we should go there. Make it fun, funny, unique! We will pick a winner and we will visit that spot, with you and your friends on the day of our show! HOW TO ENTER: Create a Video: ☑️Make a creative video explaining why BTR should visit a spot on or around your college campus (ex: student union, quad, historic landmark, quirky cafe—anywhere iconic!) Post it on Instagram: Post the video publicly on you IG feed/reels Include in the caption: ☑️The Location on or around your campus ☑️Why BTR should come there TAG Big Time Rush USE HASHTAG #BTRCRASHYOURCAMPUS FOLLOW Big Time Rush POST your video between now and January 4, 2026 HOW YOU WIN: Top 3 entries with the most LIKES will be selected as finalists ALL 3 FINALISTS will win 2 tickets to the Big Time Rush show in their city PLUS a meet n greet photo op with Big Time Rush before the show! So Get Creative with your entry, tag your friends, school, mascots and share on social The winner will be notified by DM a few days before their show ELIGIBILITY: Must be 18+ Must be a current student at a college or university One entry per person Public Instagram account required during the giveaway period Must be available on the day of the Big Time Rush show in your city to participate in the visit from BTR
0:38

Get Ready for Big Time Rush to Crash Your Campus! We are so excited to finally get the chance to go to college and we NEED YOU to tell us where we MUST VISIT when we’re in your town on our College Dropout Tour. What is something cool or unique about your town or college? Is it a Famous Landmark, a Historic Statue or Quirky Convenience Store? You tell US by posting a video on social about where we need to go, and why we should go there. Make it fun, funny, unique! We will pick a winner and we will visit that spot, with you and your friends on the day of our show! HOW TO ENTER: Create a Video: ☑️Make a creative video explaining why BTR should visit a spot on or around your college campus (ex: student union, quad, historic landmark, quirky cafe—anywhere iconic!) Post it on Instagram: Post the video publicly on you IG feed/reels Include in the caption: ☑️The Location on or around your campus ☑️Why BTR should come there TAG Big Time Rush USE HASHTAG #BTRCRASHYOURCAMPUS FOLLOW Big Time Rush POST your video between now and January 4, 2026 HOW YOU WIN: Top 3 entries with the most LIKES will be selected as finalists ALL 3 FINALISTS will win 2 tickets to the Big Time Rush show in their city PLUS a meet n greet photo op with Big Time Rush before the show! So Get Creative with your entry, tag your friends, school, mascots and share on social The winner will be notified by DM a few days before their show ELIGIBILITY: Must be 18+ Must be a current student at a college or university One entry per person Public Instagram account required during the giveaway period Must be available on the day of the Big Time Rush show in your city to participate in the visit from BTR

Big Time Rush

15,866 Aufrufe • vor 9 Monaten

Here's my conversation all about FFmpeg, the legendary open-source software powering most video on the Internet. In the episode, I talk with Jean-Baptiste Kempf and Kieran Kunhya. JB is lead developer of VLC and Kieran is FFmpeg contributor, codec engineer, and the person behind the now-infamous FFmpeg account on X. VLC (VideoLAN), by the way, is also a legendary piece of open-source software: it's a video player that can open basically anything & has been downloaded over 6 billion times. I think both FFmpeg and VLC are two of the most important and impactful software systems ever created, both open source, and both created & maintained by volunteers: brilliant engineers from all walks of life. Thank you to everyone who contributed to FFmpeg and VLC, and in general to all engineers giving their heart & soul to building systems used by millions (or billions) of people, and often doing so not for money, status, or fame, but purely for the love of building great software and doing good for the world. Thank you to the builders! 🙏❤️ Shoutouts in this chat to John Carmack Andrej Karpathy Elon Musk Tim Sweeney and everyone who is a contributor & fan of open source! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 2:17 - Introduction 5:35 - Weirdest things VLC opens 9:59 - How video playback works 19:20 - Video codecs and containers 30:07 - FFmpeg explained 51:07 - Linus Torvalds 55:46 - Turning down millions to keep VLC ad-free 1:10:04 - FFmpeg & Google drama 1:29:18 - FFmpeg developers 1:35:55 - VLC and FFmpeg 1:40:29 - History of FFmpeg 1:43:46 - Reverse engineering codecs 1:57:01 - FFmpeg testing 2:01:08 - Assembly code (handwritten) 2:25:26 - Rust programming language 2:34:42 - FFmpeg and Libav fork 2:43:04 - Open source burnout 2:50:51 - x264 and internet video 3:04:07 - Video compression basics 3:11:04 - CIA and fake VLC 3:21:39 - Ultra low latency streaming 3:39:07 - AV2 codec and video patents 3:48:59 - VLC backdoors 3:59:14 - Video archiving 4:05:51 - Future of FFmpeg and VLC
4:18:21

Here's my conversation all about FFmpeg, the legendary open-source software powering most video on the Internet. In the episode, I talk with Jean-Baptiste Kempf and Kieran Kunhya. JB is lead developer of VLC and Kieran is FFmpeg contributor, codec engineer, and the person behind the now-infamous FFmpeg account on X. VLC (VideoLAN), by the way, is also a legendary piece of open-source software: it's a video player that can open basically anything & has been downloaded over 6 billion times. I think both FFmpeg and VLC are two of the most important and impactful software systems ever created, both open source, and both created & maintained by volunteers: brilliant engineers from all walks of life. Thank you to everyone who contributed to FFmpeg and VLC, and in general to all engineers giving their heart & soul to building systems used by millions (or billions) of people, and often doing so not for money, status, or fame, but purely for the love of building great software and doing good for the world. Thank you to the builders! 🙏❤️ Shoutouts in this chat to John Carmack Andrej Karpathy Elon Musk Tim Sweeney and everyone who is a contributor & fan of open source! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 2:17 - Introduction 5:35 - Weirdest things VLC opens 9:59 - How video playback works 19:20 - Video codecs and containers 30:07 - FFmpeg explained 51:07 - Linus Torvalds 55:46 - Turning down millions to keep VLC ad-free 1:10:04 - FFmpeg & Google drama 1:29:18 - FFmpeg developers 1:35:55 - VLC and FFmpeg 1:40:29 - History of FFmpeg 1:43:46 - Reverse engineering codecs 1:57:01 - FFmpeg testing 2:01:08 - Assembly code (handwritten) 2:25:26 - Rust programming language 2:34:42 - FFmpeg and Libav fork 2:43:04 - Open source burnout 2:50:51 - x264 and internet video 3:04:07 - Video compression basics 3:11:04 - CIA and fake VLC 3:21:39 - Ultra low latency streaming 3:39:07 - AV2 codec and video patents 3:48:59 - VLC backdoors 3:59:14 - Video archiving 4:05:51 - Future of FFmpeg and VLC

Lex Fridman

519,072 Aufrufe • vor 4 Monaten

Last Christmas at brunch, my friend Peter showed me the latest version of his little bot he built. A crazy side project. Just for fun. This Monday he announced he's joining OpenAI. Sam Altman called him a genius. In between? OpenClaw went from a hobby project to the most talked-about AI agent in the world. Three months. No team. No funding. Just one retired guy from Vienna who rediscovered the joy of building things. ❤️ Last week I flew down to Vienna to sit down with him right in the middle of this madness to talk about everything: how he thinks about agents, why he let OpenClaw write its own soul file, why your mom will understand AI agents before most engineers do, and why open source as we know it might be completely broken. We are super proud of you, Peter. 🙌 Chapters: 00:00 Intro 01:02 The mom test moment & Managing 3,000 PRs 04:47 The Soul Markdown file & why OpenClaw feels different 06:58 The agent's personality, humor & OpenClaw's wild week 10:31 Think like the model 12:37 Privacy & security 15:28 Open source burnout & the future of engineering teams 17:32 The end of apps & closing thoughts
19:56

Last Christmas at brunch, my friend Peter showed me the latest version of his little bot he built. A crazy side project. Just for fun. This Monday he announced he's joining OpenAI. Sam Altman called him a genius. In between? OpenClaw went from a hobby project to the most talked-about AI agent in the world. Three months. No team. No funding. Just one retired guy from Vienna who rediscovered the joy of building things. ❤️ Last week I flew down to Vienna to sit down with him right in the middle of this madness to talk about everything: how he thinks about agents, why he let OpenClaw write its own soul file, why your mom will understand AI agents before most engineers do, and why open source as we know it might be completely broken. We are super proud of you, Peter. 🙌 Chapters: 00:00 Intro 01:02 The mom test moment & Managing 3,000 PRs 04:47 The Soul Markdown file & why OpenClaw feels different 06:58 The agent's personality, humor & OpenClaw's wild week 10:31 Think like the model 12:37 Privacy & security 15:28 Open source burnout & the future of engineering teams 17:32 The end of apps & closing thoughts

Andreas Klinger 🦾

160,359 Aufrufe • vor 7 Monaten