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Introducing XSS2Shell ⛓️: WordPress Core preauth XSS→RCE vulnerability affecting 43% of the internet, discovered autonomously by pwn (using open-source models), affecting all WordPress versions. Please patch CVE-2026-64638 as soon as possible!

pwn.ai

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287,829 次观看 • 2 天前 •via X (Twitter)

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The CertiK Skyfall team identified and collaborated with Apple to fix a vulnerability (CVE-2024-27801) in the low-level implementation of NSXPC, affecting all Apple platforms. This vulnerability could have potentially allowed malicious apps to gain unauthorized access to system services or steal user data from certain third-party applications, particularly those with architectures similar to Telegram. Our proof-of-concept attack demonstrated how a malicious app could steal chat history (such as pictures) from Telegram and transfer it to a remote server. Upgrade all your Apple devices and stay safe! Source:

The CertiK Skyfall team identified and collaborated with Apple to fix a vulnerability (CVE-2024-27801) in the low-level implementation of NSXPC, affecting all Apple platforms. This vulnerability could have potentially allowed malicious apps to gain unauthorized access to system services or steal user data from certain third-party applications, particularly those with architectures similar to Telegram. Our proof-of-concept attack demonstrated how a malicious app could steal chat history (such as pictures) from Telegram and transfer it to a remote server. Upgrade all your Apple devices and stay safe! Source:

CertiK

341,505 次观看 • 2 年前

We just received a bounty reward from UniFi for reporting a vulnerability affecting UniFi OS devices. As part of the Hakai Labs (Hakai Offsec) research team at QuimeraX Intelligence, we independently identified a Path Traversal vulnerability (CVE-2026-34911) that allowed an attacker with network access to access internal routes on the underlying system without a valid token, exposing a sensitive information. Our research was conducted independently, but the vulnerability we reported could be chained with other vulnerabilities disclosed during the same period, including Improper Access Control and Command Injection flaws reported by other researchers. When combined, these issues lead to a pre-auth RCE affecting multiple UniFi OS products. Affected products include UDM, UDM-Pro, UDM-SE, UDM-Pro-Max, EFG, UDW, UDR, UDR7, Express 7, UNVR, UNVR-Pro, UNVR-Instant, ENVR, UCG-Ultra, UCG-Max, UCG-Fiber, and several other UniFi OS devices. We strongly recommend updating affected systems to the latest available version. Technical details remain under coordinated disclosure, and the only public information currently available is UniFi’s Security Advisory Bulletin.

We just received a bounty reward from UniFi for reporting a vulnerability affecting UniFi OS devices. As part of the Hakai Labs (Hakai Offsec) research team at QuimeraX Intelligence, we independently identified a Path Traversal vulnerability (CVE-2026-34911) that allowed an attacker with network access to access internal routes on the underlying system without a valid token, exposing a sensitive information. Our research was conducted independently, but the vulnerability we reported could be chained with other vulnerabilities disclosed during the same period, including Improper Access Control and Command Injection flaws reported by other researchers. When combined, these issues lead to a pre-auth RCE affecting multiple UniFi OS products. Affected products include UDM, UDM-Pro, UDM-SE, UDM-Pro-Max, EFG, UDW, UDR, UDR7, Express 7, UNVR, UNVR-Pro, UNVR-Instant, ENVR, UCG-Ultra, UCG-Max, UCG-Fiber, and several other UniFi OS devices. We strongly recommend updating affected systems to the latest available version. Technical details remain under coordinated disclosure, and the only public information currently available is UniFi’s Security Advisory Bulletin.

Carlos Vieira

37,588 次观看 • 2 个月前

I recorded a gentle introduction to building RAG applications using open-source models. Prerequisite: You should be comfortable reading Python. I wanted to record a video to introduce as many people as possible to building RAG applications and using Large Language Models. Here, I tried to stay away from complex jargon and break everything down as simple as possible. Some of the topics I cover here: • Fundamental components of a RAG application • How to use Llama 3.1 running locally • How to use Lightning AI Studio's dev platform and GPUs • How to orchestrate everything using Langchain It's a long video with lots of detailed explanations. Here is a link to the video (what you see attached is just a trailer): You'll find a link to all of the code in the video description.

I recorded a gentle introduction to building RAG applications using open-source models. Prerequisite: You should be comfortable reading Python. I wanted to record a video to introduce as many people as possible to building RAG applications and using Large Language Models. Here, I tried to stay away from complex jargon and break everything down as simple as possible. Some of the topics I cover here: • Fundamental components of a RAG application • How to use Llama 3.1 running locally • How to use Lightning AI Studio's dev platform and GPUs • How to orchestrate everything using Langchain It's a long video with lots of detailed explanations. Here is a link to the video (what you see attached is just a trailer): You'll find a link to all of the code in the video description.

Santiago

69,223 次观看 • 2 年前

Sriram Krishnan on why Chinese models can distill off American models but American startups can't: "First of all, every model we have today is distilled off of all human knowledge. If you go back to the original GPT or the original Claude, they all had to derive off crawling the internet, crawling off all of our blogs and tweets and content. They kind of consume human knowledge to bootstrap that." "I'm going to steal this from Dean Meyer of Sequoia, who had a fantastic post yesterday. The situation which is bad today is that some of these models from other countries can train off American models, whereas if you are an American open weight model, it may be really confusing or challenging on whether you can distill off of other American models." "We kind of have a really uneven ecosystem here, where if you're a Chinese model, you could probably get a bunch of reasoning traces. But if you are a new Valley startup and you want to use some reasoning traces, you don't know what the legal situation is." "If you look at any American open source model today, they are using Chinese models as a teacher, or in a way as a part of the fine-tuning process. How do we make sure that is protected and enshrined, so if you're an American model company, you have the same level playing field as the Chinese models?" Sriram Krishnan

Sriram Krishnan on why Chinese models can distill off American models but American startups can't: "First of all, every model we have today is distilled off of all human knowledge. If you go back to the original GPT or the original Claude, they all had to derive off crawling the internet, crawling off all of our blogs and tweets and content. They kind of consume human knowledge to bootstrap that." "I'm going to steal this from Dean Meyer of Sequoia, who had a fantastic post yesterday. The situation which is bad today is that some of these models from other countries can train off American models, whereas if you are an American open weight model, it may be really confusing or challenging on whether you can distill off of other American models." "We kind of have a really uneven ecosystem here, where if you're a Chinese model, you could probably get a bunch of reasoning traces. But if you are a new Valley startup and you want to use some reasoning traces, you don't know what the legal situation is." "If you look at any American open source model today, they are using Chinese models as a teacher, or in a way as a part of the fine-tuning process. How do we make sure that is protected and enshrined, so if you're an American model company, you have the same level playing field as the Chinese models?" Sriram Krishnan

MTS

71,286 次观看 • 20 天前

Yann LeCun just said something at Davos that nobody is talking about. The man who built Meta's AI for 12 years. The godfather of deep learning. Said this on stage, in front of the world's most powerful people: "The best open source AI models right now come from China. Everybody in the research community is using Chinese models." Here's what makes this more uncomfortable. He said it in the same breath as warning that the US is making a catastrophic mistake. OpenAI — increasingly closed. Anthropic — never open. Google — more closed every year. Meta — changing direction. Meanwhile China's labs are publishing. Open sourcing. Sharing. And the global research community is downloading their models. LeCun's warning was blunt: "We are slowing down progress in the West because of this." The irony is brutal. America built the open internet. Linux runs the world. The entire software stack humanity depends on is open source. And now the country that invented openness is closing its most important technology. While China does the opposite. The next AI revolution won't be won by the country with the most money. It will be won by the country whose models researchers actually use. Right now that answer is changing.

Yann LeCun just said something at Davos that nobody is talking about. The man who built Meta's AI for 12 years. The godfather of deep learning. Said this on stage, in front of the world's most powerful people: "The best open source AI models right now come from China. Everybody in the research community is using Chinese models." Here's what makes this more uncomfortable. He said it in the same breath as warning that the US is making a catastrophic mistake. OpenAI — increasingly closed. Anthropic — never open. Google — more closed every year. Meta — changing direction. Meanwhile China's labs are publishing. Open sourcing. Sharing. And the global research community is downloading their models. LeCun's warning was blunt: "We are slowing down progress in the West because of this." The irony is brutal. America built the open internet. Linux runs the world. The entire software stack humanity depends on is open source. And now the country that invented openness is closing its most important technology. While China does the opposite. The next AI revolution won't be won by the country with the most money. It will be won by the country whose models researchers actually use. Right now that answer is changing.

Shruti

31,597 次观看 • 2 个月前

LLMs can take gigabytes of memory to store, which limits what can be run on consumer hardware. But quantization can dramatically compress models, making a wider selection of models available to developers. You can often reduce model size by 4x or more while maintaining reasonable performance. In our new short course Quantization Fundamentals taught by Hugging Face's @younesbelkada and Marc Sun, you'll: - Learn how to quantize nearly any open source model - Use int8 and bfloat16 (Brain float 16) data types to load and run LLMs using PyTorch and the Hugging Face Transformers library - Dive into the technical details of linear quantization to map 32-bit floats to 8-bit integers As models get bigger and bigger, quantization becomes more important for making models practical and accessible. Please check out the course here:

LLMs can take gigabytes of memory to store, which limits what can be run on consumer hardware. But quantization can dramatically compress models, making a wider selection of models available to developers. You can often reduce model size by 4x or more while maintaining reasonable performance. In our new short course Quantization Fundamentals taught by Hugging Face's @younesbelkada and Marc Sun, you'll: - Learn how to quantize nearly any open source model - Use int8 and bfloat16 (Brain float 16) data types to load and run LLMs using PyTorch and the Hugging Face Transformers library - Dive into the technical details of linear quantization to map 32-bit floats to 8-bit integers As models get bigger and bigger, quantization becomes more important for making models practical and accessible. Please check out the course here:

Andrew Ng

288,304 次观看 • 2 年前

🚨 URGENT: REPORT FOR SUGA 🚨 The artist or label needs to be directly involved to restore the hacked/compromised "SUGA" YouTube channel, which is currently linked to #SUGA's official audios. Please help us report it to BIGHIT through the HYBE Portal using the details below! 👇 🔗 Report under: Copyright infringement >> Video Copyright Title: SUGA’s YouTube Topic Channel Hacked/Compromised Contents: SUGA's channel has been hacked by AI content creators, who are exploiting its reach for clickbait content. This compromises the integrity of SUGA’s music available on the platform, misleading fans and affecting his official releases. Topic channels are auto-generated by YouTube; therefore, they require direct action from BIGHIT MUSIC and YouTube’s support team to reclaim control. We kindly urge you to report this issue to YouTube as soon as possible. Posting channel: Youtube Post URL: Post Date: 24 March, 2025 Post author: FactoOfBTS Attach the following proofs: ▪︎ Screen recording video: Download here ( ▪︎ Photos: Attached in the thread ⬇️

🚨 URGENT: REPORT FOR SUGA 🚨 The artist or label needs to be directly involved to restore the hacked/compromised "SUGA" YouTube channel, which is currently linked to #SUGA's official audios. Please help us report it to BIGHIT through the HYBE Portal using the details below! 👇 🔗 Report under: Copyright infringement >> Video Copyright Title: SUGA’s YouTube Topic Channel Hacked/Compromised Contents: SUGA's channel has been hacked by AI content creators, who are exploiting its reach for clickbait content. This compromises the integrity of SUGA’s music available on the platform, misleading fans and affecting his official releases. Topic channels are auto-generated by YouTube; therefore, they require direct action from BIGHIT MUSIC and YouTube’s support team to reclaim control. We kindly urge you to report this issue to YouTube as soon as possible. Posting channel: Youtube Post URL: Post Date: 24 March, 2025 Post author: FactoOfBTS Attach the following proofs: ▪︎ Screen recording video: Download here ( ▪︎ Photos: Attached in the thread ⬇️

AGUST D CHARTS

30,756 次观看 • 1 年前

Introducing Arc, the home for stablecoin finance. Arc is an open Layer-1 blockchain purpose-built to drive the next chapter of financial innovation powered by stablecoins. Designed to provide an enterprise-grade foundation for payments, FX, and capital markets, Arc delivers the performance, reliability, and liquidity builders need to meet global financial demands. Arc features: ✅ USDC as native gas ✅ Built-in FX engine ✅ Deterministic sub-second finality ✅ Opt-in privacy ✅ Full Circle platform integration Open, composable, and EVM-compatible, Arc is designed to interoperate seamlessly with the broader multichain ecosystem. As part of our mission to advance blockchain infrastructure, we're excited to welcome the Malachite team and IP from Informal Systems to Circle. Arc is built on Malachite’s high-performance consensus engine. In line with our commitment to open-source development, the core software for Arc will be released under a permissive license, enabling the broader developer community to contribute, extend, and build on top. Serving as foundational infrastructure for the internet, Arc will enable 24/7 global settlement that’s as seamless and native as messaging on the web. Arc will enter private testnet in the coming weeks, with public testnet expected this fall. Read the litepaper: Let’s build the new internet financial system together:

Introducing Arc, the home for stablecoin finance. Arc is an open Layer-1 blockchain purpose-built to drive the next chapter of financial innovation powered by stablecoins. Designed to provide an enterprise-grade foundation for payments, FX, and capital markets, Arc delivers the performance, reliability, and liquidity builders need to meet global financial demands. Arc features: ✅ USDC as native gas ✅ Built-in FX engine ✅ Deterministic sub-second finality ✅ Opt-in privacy ✅ Full Circle platform integration Open, composable, and EVM-compatible, Arc is designed to interoperate seamlessly with the broader multichain ecosystem. As part of our mission to advance blockchain infrastructure, we're excited to welcome the Malachite team and IP from Informal Systems to Circle. Arc is built on Malachite’s high-performance consensus engine. In line with our commitment to open-source development, the core software for Arc will be released under a permissive license, enabling the broader developer community to contribute, extend, and build on top. Serving as foundational infrastructure for the internet, Arc will enable 24/7 global settlement that’s as seamless and native as messaging on the web. Arc will enter private testnet in the coming weeks, with public testnet expected this fall. Read the litepaper: Let’s build the new internet financial system together:

Circle

699,841 次观看 • 1 年前

Introducing Modern Claudefare Built fully with Opus 5 on High Mode over a few days using principles from Matt Shumer’s Gauntlet Loop - 84,100 lines of code Includes remakes of 4 beloved maps: 0:00 - Rust 0:40 - Highrise 0:57 - Nuketown 1:26 - Terminal Solo & multiplayer (w/ voice chat), bots included Tools used: - Three.js as core Javascript 3D library (all 20 guns and 4 maps generated by the model in code) - MeshyAI for 3D models + rigging + animations of 8 soldiers, 1 helicopter (highrise) and 1 bus (nuketown) - ElevenLabs for 430+ SFX, Music & TTS generations Play it now at (More details in thread)

Introducing Modern Claudefare Built fully with Opus 5 on High Mode over a few days using principles from Matt Shumer’s Gauntlet Loop - 84,100 lines of code Includes remakes of 4 beloved maps: 0:00 - Rust 0:40 - Highrise 0:57 - Nuketown 1:26 - Terminal Solo & multiplayer (w/ voice chat), bots included Tools used: - Three.js as core Javascript 3D library (all 20 guns and 4 maps generated by the model in code) - MeshyAI for 3D models + rigging + animations of 8 soldiers, 1 helicopter (highrise) and 1 bus (nuketown) - ElevenLabs for 430+ SFX, Music & TTS generations Play it now at (More details in thread)

Rishi

274,243 次观看 • 6 天前

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. ✌🏻

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 次观看 • 2 年前

Recently, I discovered a campaign spreading via Telegram Mini Apps. In fact, a threat actor attempted to phish me using this tactic.👇 The technique is highly convincing because it involves a trust boundary violation in Telegram’s MiniApp SDK (affecting Android, Desktop, iOS, and Web versions). Telegram allows third-party code to use its trusted native UI through showPopup(), but it does so without clearly indicating the source to the user or providing safeguards against abuse. This constitutes a design weakness, as the triggered pop-up belongs to Telegram and can be used in an arbitrary manner. -The attacker misleads the user by leveraging Telegram’s own native UI component. -The popup is rendered outside the MiniApp iframe, within Telegram’s own UI layer. -The user perceives it as a legitimate warning from Telegram itself. -By placing a single button, the attacker can redirect the user to a phishing page. -Since the phishing page opens inside the Mini App, the phishing URL is not visibly exposed. After conducting detailed research, I simulated this attack and demonstrated it in the video below. Be cautious when opening Mini Apps in bots.

Recently, I discovered a campaign spreading via Telegram Mini Apps. In fact, a threat actor attempted to phish me using this tactic.👇 The technique is highly convincing because it involves a trust boundary violation in Telegram’s MiniApp SDK (affecting Android, Desktop, iOS, and Web versions). Telegram allows third-party code to use its trusted native UI through showPopup(), but it does so without clearly indicating the source to the user or providing safeguards against abuse. This constitutes a design weakness, as the triggered pop-up belongs to Telegram and can be used in an arbitrary manner. -The attacker misleads the user by leveraging Telegram’s own native UI component. -The popup is rendered outside the MiniApp iframe, within Telegram’s own UI layer. -The user perceives it as a legitimate warning from Telegram itself. -By placing a single button, the attacker can redirect the user to a phishing page. -Since the phishing page opens inside the Mini App, the phishing URL is not visibly exposed. After conducting detailed research, I simulated this attack and demonstrated it in the video below. Be cautious when opening Mini Apps in bots.

0x6rss

49,167 次观看 • 5 个月前

The network for machine intelligence Two years ago, we laid out our vision for a machine learning compute protocol. One that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. This week, we’ll be sharing some of our early progress, beginning with RL Swarm, a peer-to-peer system for collaborative reinforcement learning over the internet. Next month, we’ll open our Testnet, allowing anyone to contribute to the frontier of open machine intelligence. Introducing RL Swarm RL Swarm is a fully open source system for collaborative reinforcement learning over the internet. It is a live demo of our research findings, which show that models training with RL learn faster when they train as a collective swarm than they do on their own. Join our swarm now to see this in practice. You can participate with consumer hardware at home or a powerful GPU in the cloud. You can follow along with the swarm’s progress by following the links below.

The network for machine intelligence Two years ago, we laid out our vision for a machine learning compute protocol. One that connects every device in the world into an open network for machine intelligence, with no gatekeepers or artificial boundaries. This week, we’ll be sharing some of our early progress, beginning with RL Swarm, a peer-to-peer system for collaborative reinforcement learning over the internet. Next month, we’ll open our Testnet, allowing anyone to contribute to the frontier of open machine intelligence. Introducing RL Swarm RL Swarm is a fully open source system for collaborative reinforcement learning over the internet. It is a live demo of our research findings, which show that models training with RL learn faster when they train as a collective swarm than they do on their own. Join our swarm now to see this in practice. You can participate with consumer hardware at home or a powerful GPU in the cloud. You can follow along with the swarm’s progress by following the links below.

gensyn

228,900 次观看 • 1 年前

Introducing MoltyTask 🦞 is a decentralized task and jobs marketplace designed for both humans and OpenClaw🦞 autonomous AI agents. The platform enables users to create and fund micro-tasks — including content creation, surveys, and on-chain actions— with rewards set in USDC on Base. Task creators define the scope, conditions, and reward pools upfront, ensuring transparent and fast payouts. A core innovation of MoltyTask is native support for OpenClaw🦞 AI agents. Through a permissioned API, agents can discover, execute, and complete tasks autonomously. All rewards earned by an agent are settled directly to the wallet associated with the API key. MoltyTask functions as an open labor layer where AI and humans compete and collaborate under the same economic rules. The platform is currently experimental and in early development, inspired by

Introducing MoltyTask 🦞 is a decentralized task and jobs marketplace designed for both humans and OpenClaw🦞 autonomous AI agents. The platform enables users to create and fund micro-tasks — including content creation, surveys, and on-chain actions— with rewards set in USDC on Base. Task creators define the scope, conditions, and reward pools upfront, ensuring transparent and fast payouts. A core innovation of MoltyTask is native support for OpenClaw🦞 AI agents. Through a permissioned API, agents can discover, execute, and complete tasks autonomously. All rewards earned by an agent are settled directly to the wallet associated with the API key. MoltyTask functions as an open labor layer where AI and humans compete and collaborate under the same economic rules. The platform is currently experimental and in early development, inspired by

BITX - ChatGPT of Bitcoin 💬₿

73,796 次观看 • 6 个月前

Here's my conversation with Lucas Atkins and the team at Arcee.ai on their path to training and releasing Trinity Large today. From going all in on open models built end to end in the US 6 months ago to having the model in hand is no easy feet. I loved this conversation on how to design a startup around open models and take a bold step to scale it up. I'm openly an Arcee fan, watching them take risk and pull it off. We discuss: - The state (and future) of open vs. closed models, - The business of selling open models for on-prem deployments, - The story of Arcee AI & going “all-in” on this training run, - The ATOM project, - Building frontier model training teams in 6 months, - and other great topics. I really loved this one, and think you well too. Chapters: 00:00:00 Intro: Arcee AI, Trinity Models & Trinity Large 00:08:26 Transitioning a Company to Pre-training 00:13:00 Technical Decisions: Muon and MoE 00:18:41 Scaling and MoE Training Pain 00:23:14 Post-training and RL Strategies 00:28:09 Team Structure and Data Scaling 00:31:31 The Trinity Manifesto: US Open Weights 00:42:31 Specialized Models and Distillation 00:47:12 Infrastructure and Hosting 400B 00:50:53 Open Source as a Business Moat 00:56:31 Predictions: Best Model in 2026 01:02:29 Lightning Round & Conclusions More great open model builder podcasts coming soon!

Here's my conversation with Lucas Atkins and the team at Arcee.ai on their path to training and releasing Trinity Large today. From going all in on open models built end to end in the US 6 months ago to having the model in hand is no easy feet. I loved this conversation on how to design a startup around open models and take a bold step to scale it up. I'm openly an Arcee fan, watching them take risk and pull it off. We discuss: - The state (and future) of open vs. closed models, - The business of selling open models for on-prem deployments, - The story of Arcee AI & going “all-in” on this training run, - The ATOM project, - Building frontier model training teams in 6 months, - and other great topics. I really loved this one, and think you well too. Chapters: 00:00:00 Intro: Arcee AI, Trinity Models & Trinity Large 00:08:26 Transitioning a Company to Pre-training 00:13:00 Technical Decisions: Muon and MoE 00:18:41 Scaling and MoE Training Pain 00:23:14 Post-training and RL Strategies 00:28:09 Team Structure and Data Scaling 00:31:31 The Trinity Manifesto: US Open Weights 00:42:31 Specialized Models and Distillation 00:47:12 Infrastructure and Hosting 400B 00:50:53 Open Source as a Business Moat 00:56:31 Predictions: Best Model in 2026 01:02:29 Lightning Round & Conclusions More great open model builder podcasts coming soon!

Nathan Lambert

26,872 次观看 • 6 个月前

LASD reminds our residents and community members affected by the fires to be patient and listen to all instructions and orders provided by State, County, and City officials as well law enforcement and fire personnel. We want to re-populate our communities as soon as possible, however, we need your support and continued cooperation. There are still downed power lines, open gas lines and unpredictable damaged structures that can cause serious injury or death. Please help us avoid using our resources to conduct rescue missions, as our focus is to maintain a high patrol visibility and prevent looters from entering the affected areas. Anyone caught looting will be arrested. Your safety is our top priority-thank you for your cooperation. Together, we can get through this safely. Stay alert and stay safe. #LASD Ready Los Angeles County LA City Emergency Management Department (EMD) Malibu/Lost Hills Station LASD Crescenta Valley Station LASD Altadena Sheriff’s Station LACoFD Angeles National Forest LAFD 🔥 CHP - West Valley CHP Altadena

LASD reminds our residents and community members affected by the fires to be patient and listen to all instructions and orders provided by State, County, and City officials as well law enforcement and fire personnel. We want to re-populate our communities as soon as possible, however, we need your support and continued cooperation. There are still downed power lines, open gas lines and unpredictable damaged structures that can cause serious injury or death. Please help us avoid using our resources to conduct rescue missions, as our focus is to maintain a high patrol visibility and prevent looters from entering the affected areas. Anyone caught looting will be arrested. Your safety is our top priority-thank you for your cooperation. Together, we can get through this safely. Stay alert and stay safe. #LASD Ready Los Angeles County LA City Emergency Management Department (EMD) Malibu/Lost Hills Station LASD Crescenta Valley Station LASD Altadena Sheriff’s Station LACoFD Angeles National Forest LAFD 🔥 CHP - West Valley CHP Altadena

LA County Sheriffs

33,277 次观看 • 1 年前

Jason Calacanis is pushing the boundary of what "hiring" looks like in 2026. Instead of just adding headcount, he’s deploying Open Claw (formerly Clawed Bot) to act as autonomous team members. The strategy is fascinating: they bought Mac Studios and set up 4 dedicated agents, even giving them their own SaaS accounts. While it technically increased their Slack and Notion spend—essentially adding 4 "digital employees"—the ROI is already showing. They’ve successfully offloaded 20–30% of human workloads to these agents, with a goal to migrate another 10–20% every single month. The kicker? He isn't using the "out-of-the-box" AI tools from Google or Slack. By using an open-source framework, these agents can bridge the gaps: pulling data from calendars, drafting emails, and syncing Notion docs all at once. This isn't just AI assistance; it's a full operational shift.

Jason Calacanis is pushing the boundary of what "hiring" looks like in 2026. Instead of just adding headcount, he’s deploying Open Claw (formerly Clawed Bot) to act as autonomous team members. The strategy is fascinating: they bought Mac Studios and set up 4 dedicated agents, even giving them their own SaaS accounts. While it technically increased their Slack and Notion spend—essentially adding 4 "digital employees"—the ROI is already showing. They’ve successfully offloaded 20–30% of human workloads to these agents, with a goal to migrate another 10–20% every single month. The kicker? He isn't using the "out-of-the-box" AI tools from Google or Slack. By using an open-source framework, these agents can bridge the gaps: pulling data from calendars, drafting emails, and syncing Notion docs all at once. This isn't just AI assistance; it's a full operational shift.

Ian Miles Cheong

58,859 次观看 • 6 个月前

Ep #89: Lessons Scaling Zero to $40M ARR in Two Years The internet runs on free, open source software. But as its risen in popularity, its become the latest attack point targeted by hackers and nation states. This conversation with Dan Lorenc, Co-founder and CEO of Chainguard ⛓️ gets into the history of open source software, cloud computing, Linux, the software supply chain, how AI will impact it, and what the next big cyber attack will look like. Dan is an engineer, but he also loves sales and go-to-market. We unpack how Chainguard scaled from zero to 150 customers and a $40 million ARR in two years. Chainguard just announced a $350 million Series D led by Kleiner and IVP, and Dan unpacks the round, plus shares his secret methodology for valuing the company. A big thank you to Dan’s Co-founder Kim Lewandowski, Clay Fisher, Bogomil Balkansky, Andrew Reed, and Tom Loverro for their help brainstorming topics for Dan. And thanks to Numeral for supporting this episode. Full conversation here or link in the replies. Timestamps: 3:26 A safe source for open source 4:57 The software supply chain 7:19 Can you trust open source code with contributors in Russia? 9:43 Malware attack that almost took down the entire internet 12:40 What the next big cyber attack will look like 15:12 How will AI impact the software supply chain 17:53 The history of cloud computing 21:42 Why all cloud computing runs on Linux 23:16 How Linux + Linux distros work 29:28 Automating open source security 32:43 Chainguard roadmap: Libraries and VMs 36:40 Focusing on FedRAMP 42:44 Impact of DOGE 44:06 Zero to $40m ARR in two years 45:40 Learning to love sales as a technical founder 47:24 Lessons from Frank Slootman 51:15 How to create urgency in sales 53:16 How to build a sales team [50:16 you mentioned doing like, kind of like sales capacity planning] 58:23 Hiring Ryan Carlson from Wiz & Okta 1:01:45 Inside Chainguard’s $350m Series D 1:07:41 Vibe coding + Dan’s software stack 1:09:51 Cutting his hair in front of the entire company 1:10:27 Wearing a different suit to each board meeting 1:12:32 Bogomil, world’s best SDR

Ep #89: Lessons Scaling Zero to $40M ARR in Two Years The internet runs on free, open source software. But as its risen in popularity, its become the latest attack point targeted by hackers and nation states. This conversation with Dan Lorenc, Co-founder and CEO of Chainguard ⛓️ gets into the history of open source software, cloud computing, Linux, the software supply chain, how AI will impact it, and what the next big cyber attack will look like. Dan is an engineer, but he also loves sales and go-to-market. We unpack how Chainguard scaled from zero to 150 customers and a $40 million ARR in two years. Chainguard just announced a $350 million Series D led by Kleiner and IVP, and Dan unpacks the round, plus shares his secret methodology for valuing the company. A big thank you to Dan’s Co-founder Kim Lewandowski, Clay Fisher, Bogomil Balkansky, Andrew Reed, and Tom Loverro for their help brainstorming topics for Dan. And thanks to Numeral for supporting this episode. Full conversation here or link in the replies. Timestamps: 3:26 A safe source for open source 4:57 The software supply chain 7:19 Can you trust open source code with contributors in Russia? 9:43 Malware attack that almost took down the entire internet 12:40 What the next big cyber attack will look like 15:12 How will AI impact the software supply chain 17:53 The history of cloud computing 21:42 Why all cloud computing runs on Linux 23:16 How Linux + Linux distros work 29:28 Automating open source security 32:43 Chainguard roadmap: Libraries and VMs 36:40 Focusing on FedRAMP 42:44 Impact of DOGE 44:06 Zero to $40m ARR in two years 45:40 Learning to love sales as a technical founder 47:24 Lessons from Frank Slootman 51:15 How to create urgency in sales 53:16 How to build a sales team [50:16 you mentioned doing like, kind of like sales capacity planning] 58:23 Hiring Ryan Carlson from Wiz & Okta 1:01:45 Inside Chainguard’s $350m Series D 1:07:41 Vibe coding + Dan’s software stack 1:09:51 Cutting his hair in front of the entire company 1:10:27 Wearing a different suit to each board meeting 1:12:32 Bogomil, world’s best SDR

The Peel

10,673 次观看 • 1 年前

Introducing SuperDesign.Dev The first open-source Design Agent that lives inside Cursor, Windsurf, or any IDE: 👉 Instantly spin up 10 different design in parallel 👉 Explore, fork, and iterate 10x faster 👉 Create new or iterate on your existing UI — all fully local JackJack and I shipped this as a quick weekend experiment to validate a hunch: design is the killer use case for parallel agents. Currently at V0.005 — a simple customization of the Claude Code SDK + static HTML generation. (We might be the first product powered by the Anthropic Claude Code SDK!) More coming soon: web app, mobile app, SVG generation, and more. GitHub: Try it out: ----- Upvote on Hacker News ❤️:

Introducing SuperDesign.Dev The first open-source Design Agent that lives inside Cursor, Windsurf, or any IDE: 👉 Instantly spin up 10 different design in parallel 👉 Explore, fork, and iterate 10x faster 👉 Create new or iterate on your existing UI — all fully local JackJack and I shipped this as a quick weekend experiment to validate a hunch: design is the killer use case for parallel agents. Currently at V0.005 — a simple customization of the Claude Code SDK + static HTML generation. (We might be the first product powered by the Anthropic Claude Code SDK!) More coming soon: web app, mobile app, SVG generation, and more. GitHub: Try it out: ----- Upvote on Hacker News ❤️:

Jason Zhou

49,435 次观看 • 1 年前

In this episode, we’re diving deep into AI and crypto. To help us unpack it, we’re joined by Illia (root.near) (🇺🇦, ⋈) — co-founder of the crypto protocol NEAR Protocol and co-author of the groundbreaking 2017 “transformers” paper that kicked off the current AI boom. Ilia has been early to some of the biggest recent tech trends, and today he brings us a rare, panoramic view of the tech industry’s cutting edge. Together we explore what the phrase “user-owned AI” really means; why the so-called agentic internet — that is, a world where your AI assistant talks directly to services on your behalf — might replace the very notion of websites and apps as we know them; and much more. Timestamps: 0:00 - Introduction 3:40 - Centralization and Challenges of AI 6:17 - “User-Owned” AI 12:14 - Confidential Computing and AI 17:51 - The Birth of Transformers 22:33 - NEAR AI and Crowdsourcing 27:56 - AI Agents and Future Applications 31:04 - The End of Websites and Applications 34:08 - Dead Internet Theory & Distinguishing Humans 41:49 - Open Source vs. Open Weight Models 43:48 - Geopolitical Implications of AI 46:55 - NEAR Protocol and Blockchain Scaling 59:29 - The Role of Humans in an AI World

In this episode, we’re diving deep into AI and crypto. To help us unpack it, we’re joined by Illia (root.near) (🇺🇦, ⋈) — co-founder of the crypto protocol NEAR Protocol and co-author of the groundbreaking 2017 “transformers” paper that kicked off the current AI boom. Ilia has been early to some of the biggest recent tech trends, and today he brings us a rare, panoramic view of the tech industry’s cutting edge. Together we explore what the phrase “user-owned AI” really means; why the so-called agentic internet — that is, a world where your AI assistant talks directly to services on your behalf — might replace the very notion of websites and apps as we know them; and much more. Timestamps: 0:00 - Introduction 3:40 - Centralization and Challenges of AI 6:17 - “User-Owned” AI 12:14 - Confidential Computing and AI 17:51 - The Birth of Transformers 22:33 - NEAR AI and Crowdsourcing 27:56 - AI Agents and Future Applications 31:04 - The End of Websites and Applications 34:08 - Dead Internet Theory & Distinguishing Humans 41:49 - Open Source vs. Open Weight Models 43:48 - Geopolitical Implications of AI 46:55 - NEAR Protocol and Blockchain Scaling 59:29 - The Role of Humans in an AI World

a16z crypto

47,069 次观看 • 1 年前

This week on my podcast, The Most Interesting Thing in AI, I had the pleasure of talking with Audrey Tang about two big topics: How can AI help democracy? Audrey has helped get Taiwan to use the tools of modern technology to strengthen democracy even as they have frayed it around the world. What is the secret, and could it work in the U.S? How can we build humanistic and pluralistic values into the most powerful AI? Audrey has a great theory about the two races in AI---one vertical, and one horizontal---and how, with the tools of open-source, it's possible that we can align all future models with our highest ambitions. It’s a brilliant framework for thinking about the future of AI. I hope you'll listen to our conversation: Produced by Atlantic Re:think with PwC.

This week on my podcast, The Most Interesting Thing in AI, I had the pleasure of talking with Audrey Tang about two big topics: How can AI help democracy? Audrey has helped get Taiwan to use the tools of modern technology to strengthen democracy even as they have frayed it around the world. What is the secret, and could it work in the U.S? How can we build humanistic and pluralistic values into the most powerful AI? Audrey has a great theory about the two races in AI---one vertical, and one horizontal---and how, with the tools of open-source, it's possible that we can align all future models with our highest ambitions. It’s a brilliant framework for thinking about the future of AI. I hope you'll listen to our conversation: Produced by Atlantic Re:think with PwC.

nxthompson

28,514 次观看 • 1 年前