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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

240,950 subscribers

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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ReUI

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The Peel

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Ian Webster

28,779 Aufrufe • vor 2 Jahren

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Salenco confirmed😎

44,646 Aufrufe • vor 2 Jahren

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No single vendor will win the AI race, but open ecosystems might. Real velocity in AI comes from interoperability, not lock-in. And AMD just made all of its software open source. At last week’s Advancing AI 2025, we sat down with AMD’s VP of AI Software Anush Elangovan and Sharon Zhou VP of AI at AMD, to discuss their case for why an open, multi-partner ecosystem will accelerate AI innovation faster than any proprietary alternative. AMD’s announcements last week double down on this OSS focus and their commitment to AI infrastructure, including: ✅ Open Source Ecosystem: ROCm 7, AMD’s latest open-source AI software stack, introduces kernel-level improvements for GEMM operations, optimized attention mechanisms, and expanded support for distributed inference. The update brings substantial speedups for inference workloads, with average performance increases of 3.2x to 3.8x ✅ Hardware: New MI355X GPU delivers up to 40% more tokens per dollar vs competition & the MI350 Series has seen a 35x generational leap in AI inference performance ✅ Infrastructure Investments: Oracle just committed to zettascale (‼️) clusters with up to 131,072 MI355X GPUs and AMD showcased their new $10 billion partnership with Saudi Arabian AI firm HUMAIN to build AI infrastructure, including data centers, powered by AMD chips. ✅ Partnership Momentum: 7 out of 10 top AI companies now run production workloads on AMD Instinct accelerators (including Meta, OpenAI, Microsoft & xAI) By inviting interoperability and contribution at every layer, AMD is enabling developers to build faster, optimize deeper, and deploy with flexibility. Listen to Anush and Sharon’s Chain of Thought Podcast episode with host Conor Bronsdon in the next tweet to get all the details and a deep dive into AMD’s strategy 👇

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78,922 Aufrufe • vor 1 Jahr

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We are announcing potpie AI $2.2M pre-seed fundraise to advance Spec-Driven Development for large enterprise codebases. The round is led by Emergent Ventures , with participation from All In Capital , DeVC , and PointOne Capital , along with the support of some amazing angel investors from companies including Atlassian, OpenAI, Meta, Razorpay and Flobiz. As AI accelerates code generation, the constraint inside large enterprises has shifted from coding to maintenance and assurance. The limiting factor is no longer writing code, but understanding complex systems, aligning teams around intent, and safely evolving large, interdependent codebases. In most organizations, specifications exist as static documents, while production systems evolve independently. Context is fragmented across repositories, tickets, logs, reviews, and floating documents making reliable AI adoption difficult. We are building the foundational layer that makes Spec-Driven Development executable at scale. By unifying engineering context and operationalizing the spec as a structured source of truth, we enable AI systems to reason with architectural awareness rather than surface-level code completion. We are already working with large enterprise customers, including Fortune 500 organizations. This milestone allows us to deepen those partnerships and support more teams transitioning from experimental AI usage to structured, production-grade AI-first engineering workflows. If you are leading engineering at scale and evaluating how AI should integrate into mission-critical systems, we would love to chat with you!

Aditi Kothari

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I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!
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I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

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5:25

We knew from day one that unlocking constellation-scale manufacturing would be more than just a hardware challenge. That's why we built Octopus — our proprietary operating system, developed in-house to handle the many complexities of rapidly scaling satellite manufacturing. Octopus provides an end-to-end source of truth, from first customer conversation to orbit, enabling streamlined traceability that ensures speed never comes at the expense of quality. Octopus is built on Palantir's Foundry and AIP platforms, which provide the underlying infrastructure to rapidly prototype and deploy custom applications across the entire company. By building Octopus on Palantir, we have unified scheduling, procurement, receiving, inspection, inventory management, and production into a single integrated workflow — enabling predictable and secure, constellation-scale production. Hear from Apex CEO, Ian Cinnamon, and the rest of the team on how Apex's partnership with Palantir is unlocking rate production at Factory One, and laying the foundation for the next generation of satellite manufacturing.

Apex - Satellite Platforms 🛰

33,843 Aufrufe • vor 5 Monaten

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2:01

I'm open-sourcing the entire ComfyDeploy platform again. Yes, our entire YC company. And we are officially moving on from ComfyUI. The community will decide what's next for ComfyDeploy. Below is an abstract; for more, head to the open source repo below. Existing customers will not be affected; more details are in the repo. The service will continue to run until the last customer remains. For those who are new, ComfyDeploy is a cloud service that deploys ComfyUI, provides a simplified interface, and an API to creative teams. How did we get here? In late 2023, I started ComfyDeploy as an open source project while I was working at my previous company. We had a problem deploying ComfyUI to our production server because of the complexity involved in integrating it into a serverless environment. I posted here about this little project that I was working on as an indie hacker, and it blew up overnight. I woke up to 100k impressions on the post. I put up my cal link, and people started scheduling calls. I had the opportunity to speak with numerous individuals worldwide, including those who reached out to help or potentially utilize ComfyDeploy. We got into YC with ComfyDeploy around 2.5K MRR. Around the same timeframe, ComfyOrg was introduced, Stability collapsed, and Flux just came out. We continued building ComfyDeploy for months, keeping things going. The company was growing, but very slowly. We realized the biggest issue is that we are still really early, and it takes time for businesses and enterprises to really adopt such a niche tool. And we are not ComfyOrg. Meanwhile, closed-source models dropped, and many workflows we knew became no longer useful. Coming from a game developer background, I saw huge potential with ComfyUI at first. Still, I never would have imagined that one giant model could do precisely what you put into words, and you still need workflows to fine-tune and control the exact outputs. ComfyDeploy made it possible for teams to experiment with this. But we were stuck in the middle. First, we are not ComfyOrg; second, closed-source models were doing things way better and slowly eating up the market. As of today, ComfyDeploy is doing $29k MRR, and our last 30 days' revenue was $50k processed. Which is the highest we have ever got, but also the most depressing day I have ever had..... More in the GitHub repo.

BennyKok

147,508 Aufrufe • vor 10 Monaten

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The All-In Podcast

113,363 Aufrufe • vor 24 Tagen

🎙️BL Content Creator Dialogues🎙️ Love cannot justify actions that cause hurt Interview with FortPeat on Yesterday The Series For our 1st episode of Content Creator Dialogues this year, we sat down with Fort & Peat, the lead cast of Yesterday The Series, to talk about Vier’s impossible forgiveness, Kelvin’s inner war, and the moment when love becomes a battlefield. 🎤 In the interview, FortPeat also opened up about: ~ The real emotional storm hits after Episode 6 (coming up on Monday, March 9) — with massive, dramatic scenes that will change how we see both characters. ~ How much they’ve grown in their third project together, how working with a new team pushed them creatively, and how much fun they had behind the scenes. If you’re following Vier and Kelvin’s journey, get ready — things are about to go more intense and fascinating. This series isn’t just drama — it’s transformation. To watch or remix the interview in HD, please visit PanoSpotlight YouTube channel at #YesterdayTheSeries #FortPeat #FortFTS #Peatwasu FortFTS (福福) #เวียร์ peatwasu #เคลวิน Yesterday The Series
4:54

🎙️BL Content Creator Dialogues🎙️ Love cannot justify actions that cause hurt Interview with FortPeat on Yesterday The Series For our 1st episode of Content Creator Dialogues this year, we sat down with Fort & Peat, the lead cast of Yesterday The Series, to talk about Vier’s impossible forgiveness, Kelvin’s inner war, and the moment when love becomes a battlefield. 🎤 In the interview, FortPeat also opened up about: ~ The real emotional storm hits after Episode 6 (coming up on Monday, March 9) — with massive, dramatic scenes that will change how we see both characters. ~ How much they’ve grown in their third project together, how working with a new team pushed them creatively, and how much fun they had behind the scenes. If you’re following Vier and Kelvin’s journey, get ready — things are about to go more intense and fascinating. This series isn’t just drama — it’s transformation. To watch or remix the interview in HD, please visit PanoSpotlight YouTube channel at #YesterdayTheSeries #FortPeat #FortFTS #Peatwasu FortFTS (福福) #เวียร์ peatwasu #เคลวิน Yesterday The Series

Panoramist Spotlight

13,060 Aufrufe • vor 4 Monaten

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 🐉

37,206 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

217,285 Aufrufe • vor 8 Monaten

Then came the most disturbing piece of data of the entire press conference. Secretary Noem reiterated that ICE officers now face a 1,000% increase in assaults. Sickening. “Yesterday we announced now ICE officers are facing a 1,000% increase in assaults against them and you read about the stories and hear what is happening from coast to coast every day in our national media and in our press.” As Noem made clear to the media who refuse to cover it, this kind of increase does not come out of nowhere. It is a direct result of rhetoric from the media, from elected officials, and from the Democrat Party. “But it is in large part due to the pro-sanctuary states and city policies and the language of elect bureaucrats that are reckless with their lives and endangering their families.” Then, Noem doubled down on what these people were put into office to do, rather than slander ICE officers. “Every public official should talk about and work to protect people.”
0:30

Then came the most disturbing piece of data of the entire press conference. Secretary Noem reiterated that ICE officers now face a 1,000% increase in assaults. Sickening. “Yesterday we announced now ICE officers are facing a 1,000% increase in assaults against them and you read about the stories and hear what is happening from coast to coast every day in our national media and in our press.” As Noem made clear to the media who refuse to cover it, this kind of increase does not come out of nowhere. It is a direct result of rhetoric from the media, from elected officials, and from the Democrat Party. “But it is in large part due to the pro-sanctuary states and city policies and the language of elect bureaucrats that are reckless with their lives and endangering their families.” Then, Noem doubled down on what these people were put into office to do, rather than slander ICE officers. “Every public official should talk about and work to protect people.”

The Vigilant Fox 🦊

65,744 Aufrufe • vor 11 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 🦾

160,203 Aufrufe • vor 5 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

503,958 Aufrufe • vor 2 Monaten

The American Farming Scam. The takeover of our seeds industry “It was never about feeding the world. It started with seeds and the power to control them - In the 80s, corporations began patenting life, not by creating it, but by tweaking seeds nature had already made and calling them their own - Then came the pitch: higher yields, fewer pests, simpler farming, and for struggling farmers, that sounded like salvation - But here's the catch: the seeds were patented. You couldn't save them from one harvest to the next. You had to buy them again, every season. That was never the case before. For thousands of years, seeds were passed down, replanted, improved. They belonged to the land and to the people who worked it. And now? Well, most farmers can't even plant without signing a contract - 4 companies control over 60% of the world's seeds - In some vegetables, they control 95% - And the pesticide? Only their seed survives it. So you buy the chemical too, from the same company. If farmers step outside the system, they risk losing their harvest. If they break the rules, they risk getting sued. That's not support, that's a trap. And what do we end up with? Farmers that are stuck by diversity collapsing and food that's made in labs instead of grown in soil. This was never about helping farmers, it was about replacing them.”
1:16

The American Farming Scam. The takeover of our seeds industry “It was never about feeding the world. It started with seeds and the power to control them - In the 80s, corporations began patenting life, not by creating it, but by tweaking seeds nature had already made and calling them their own - Then came the pitch: higher yields, fewer pests, simpler farming, and for struggling farmers, that sounded like salvation - But here's the catch: the seeds were patented. You couldn't save them from one harvest to the next. You had to buy them again, every season. That was never the case before. For thousands of years, seeds were passed down, replanted, improved. They belonged to the land and to the people who worked it. And now? Well, most farmers can't even plant without signing a contract - 4 companies control over 60% of the world's seeds - In some vegetables, they control 95% - And the pesticide? Only their seed survives it. So you buy the chemical too, from the same company. If farmers step outside the system, they risk losing their harvest. If they break the rules, they risk getting sued. That's not support, that's a trap. And what do we end up with? Farmers that are stuck by diversity collapsing and food that's made in labs instead of grown in soil. This was never about helping farmers, it was about replacing them.”

Wall Street Apes

69,260 Aufrufe • vor 11 Monaten

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 8 Monaten

NVIDIA CEO, Jensen Huang, warns that America's lead in AI is far from secure. He breaks down the US-China AI competition into what he calls a "five-layer cake." And while the US dominates some layers, Jensen sees critical vulnerabilities in others... 1) Energy: China has twice as much as the US despite a smaller economy. Which "makes no sense" to Jensen. 2) Chips: The US is "generations ahead," but Jensen warns against complacency. "Anybody who thinks China can't manufacture is missing the big idea." 3) Infrastructure: Standing up a data center in the US takes about three years. In China? "They can build a hospital in a weekend." 4) Models: US frontier models are "unquestionably world class," but "China is well ahead, way ahead on open source." 5) Applications: Public sentiment differs sharply. Ask both populations whether AI will do more good than harm, and "in their case 80% would say AI will do more good than harm. In our case, it'd be the other way around." Jensen's warning is clear. Leading in chips and frontier models isn't enough when you're behind on energy, infrastructure speed, open source, and public trust. Winning the AI race requires strength across the entire stack, and right now, the US has work to do.
1:39

NVIDIA CEO, Jensen Huang, warns that America's lead in AI is far from secure. He breaks down the US-China AI competition into what he calls a "five-layer cake." And while the US dominates some layers, Jensen sees critical vulnerabilities in others... 1) Energy: China has twice as much as the US despite a smaller economy. Which "makes no sense" to Jensen. 2) Chips: The US is "generations ahead," but Jensen warns against complacency. "Anybody who thinks China can't manufacture is missing the big idea." 3) Infrastructure: Standing up a data center in the US takes about three years. In China? "They can build a hospital in a weekend." 4) Models: US frontier models are "unquestionably world class," but "China is well ahead, way ahead on open source." 5) Applications: Public sentiment differs sharply. Ask both populations whether AI will do more good than harm, and "in their case 80% would say AI will do more good than harm. In our case, it'd be the other way around." Jensen's warning is clear. Leading in chips and frontier models isn't enough when you're behind on energy, infrastructure speed, open source, and public trust. Winning the AI race requires strength across the entire stack, and right now, the US has work to do.

Big Brain AI

59,540 Aufrufe • vor 7 Monaten

Today, we’re thrilled to introduce GAIA, a modular creation engine for the AI age. At its core, GAIA is a multiplayer creation engine designed to bring democratized Generative AI abilities to everyone, hence its name. It abstracts away the complexities of leveraging open-source software, hardware requirements, and technical intricacies, allowing creators to focus solely on creating, together. GAIA has been instrumental in powering the imagination and creative works of our studio, significantly boosting productivity, collaboration, and creativity. It has saved our team thousands of man-days in production work, enabling us to dream bigger, bolder, and execute more swiftly. When used by experienced creators, GAIA, with its ever-growing toolsets built by core contributors, stands to be the best AI creative co-pilot for industry-specific production workflows—from gaming to fashion, and from personal consumption to real estate renderings. GAIA's self-reinforcing flywheel is poised to dramatically enhance the platform's capabilities in both the near and long term: The cost of GPUs and compute will continue to improve. Open-source AI models are becoming increasingly powerful over time, as seen by the evolution from Stable Diffusion 1 to Lightning, alongside other impressive OSS creations like AnimateDiff, LoRAs, and ControlNet. The architecture of AI workflows will become more fine-grained, allowing exponentially increasing control over final outputs. The data and connections that AI workflows can make, both in-app and out-of-app, will grow more sophisticated. GAIA already allows for the chaining of Generative Image AI recipes, grouping complex node-based programs into simple consumer-facing interfaces. Soon, with multi-modality workflows, creators will be able to leverage not only images but also text and sound to create even more complex workflows. Today is the least capable GAIA will ever be. It already provides superpowers unachievable by many creators who know how to harness them. We have an extremely exciting backlog of features lined up, starting with social features. Our mission as Ather Collective core contributors is to get GAIA into the hands of as many creators and businesses as possible. While we believe in e/acc, our north star for Ather Collective remains: Equitable, Accessible, Composable, and Collaborative. If you would like to be a part of the early access users of GAIA, please register using this link: Our team will open up capacity as soon as we are able to. There is only one way AI benefits humanity, and that’s through open AI. Let’s be a part of it. ✌🏻
0:50

Today, we’re thrilled to introduce GAIA, a modular creation engine for the AI age. At its core, GAIA is a multiplayer creation engine designed to bring democratized Generative AI abilities to everyone, hence its name. It abstracts away the complexities of leveraging open-source software, hardware requirements, and technical intricacies, allowing creators to focus solely on creating, together. GAIA has been instrumental in powering the imagination and creative works of our studio, significantly boosting productivity, collaboration, and creativity. It has saved our team thousands of man-days in production work, enabling us to dream bigger, bolder, and execute more swiftly. When used by experienced creators, GAIA, with its ever-growing toolsets built by core contributors, stands to be the best AI creative co-pilot for industry-specific production workflows—from gaming to fashion, and from personal consumption to real estate renderings. GAIA's self-reinforcing flywheel is poised to dramatically enhance the platform's capabilities in both the near and long term: The cost of GPUs and compute will continue to improve. Open-source AI models are becoming increasingly powerful over time, as seen by the evolution from Stable Diffusion 1 to Lightning, alongside other impressive OSS creations like AnimateDiff, LoRAs, and ControlNet. The architecture of AI workflows will become more fine-grained, allowing exponentially increasing control over final outputs. The data and connections that AI workflows can make, both in-app and out-of-app, will grow more sophisticated. GAIA already allows for the chaining of Generative Image AI recipes, grouping complex node-based programs into simple consumer-facing interfaces. Soon, with multi-modality workflows, creators will be able to leverage not only images but also text and sound to create even more complex workflows. Today is the least capable GAIA will ever be. It already provides superpowers unachievable by many creators who know how to harness them. We have an extremely exciting backlog of features lined up, starting with social features. Our mission as Ather Collective core contributors is to get GAIA into the hands of as many creators and businesses as possible. While we believe in e/acc, our north star for Ather Collective remains: Equitable, Accessible, Composable, and Collaborative. If you would like to be a part of the early access users of GAIA, please register using this link: Our team will open up capacity as soon as we are able to. There is only one way AI benefits humanity, and that’s through open AI. Let’s be a part of it. ✌🏻

TIN | Sipher Odyssey & Ather Labs

14,194 Aufrufe • vor 2 Jahren