RT Rohit | Okto 🐙⛓️ | Orchestrating Web3 (@rrohit689)deep funding will test whether a market oracle for public goods can be built.two things stand out to me technically:- the use of dependency graphs as the substrate.most mech design in pgf ignores the underlying graph structure of ethereum’s infra. pricing flows along that graph is closer to truth than certain metrics.- subjective resolution with judges.prediction markets have always been boxed into binary outcomes. moving into scalar + subjective territor ...

RT Devansh Mehta (@TheDevanshMehta)A problem statement I've often heard from well wishers of Ethereum is,,, can you give us one public key where we send money & it auto-redistributes to the relevant repos or projects"glad to see the work @thelazyliz , @clesaege and I undertook at the Iceland residency formally written up and launched as a product enabling this!1. TL;DR:traders bet on the value of a project if it were to be assessed by a judge. we use this market assessment to decide splits between open sour ...

[Music] I honestly believe that the AI revolution is underhyped. Now, why is this all important? >> Eric Schmidt is here. He's the former Google executive chairman and CEO. >> These agents are going to be really powerful, and they'll start to work together. We're soon going to be able to have computers running on their own, deciding what they want to do. Now we have the arrival of a new nonhuman intelligence which is likely to have better reasoning skills than humans can have. >> So if you were emperor of t ...

The importance of full-stack openness and verifiability(including applications, operating systems, hardware, and bio)https://t.co/FRb3V4TK6U ...

AI touches the beating heart of every business that deploys it. But AI needs to be trusted in order to trust it. You have to understand it.I know there's a lot of people around the world that haven't started using AI yet. And I think that's because it hasn't been brought to a point where it can solve the problems in a way that they can interact with. We know that open technologies have really driven change in the past.For example, think about how the internet transformed retail banking and health care. We t ...

The opening welcome reception is all about the hallway track and the expo -- meeting and mingling with other founders and engineers who are (mostly) based in Europe. However, for those who can't make it, we'll be streaming 2 talks to kick off the conference: Shawn Swyx Wang, curator of Latent Space and Co-founder of AI Engineer: The Year in Agents Lélio Renard Lavaud, VP of Engineering, Mistral: How open source drives successful enterprise adoption ...

Core Insights - The Rust community is facing concerns as two influential contributors, Nicholas Nethercote and Micheal Goulet, are seeking new employment, highlighting vulnerabilities in the open-source ecosystem [1][3][10] - The Rust Foundation's financial support is questioned, as it reportedly generated only $250,000 in total revenue for 2023, insufficient to sustain core developers [10][12] Contributor Concerns - Nicholas Nethercote and Micheal Goulet are both prominent figures in the Rust compiler team, with Nethercote expressing a strong desire to continue working full-time on Rust [3][4] - Nethercote has made over 3,375 commits to the Rust project, showcasing his significant contributions to compiler performance optimization and code maintenance [5][10] Financial Aspects - The Rust Foundation's financial situation raises questions about its ability to support key contributors, especially when compared to the substantial funding that large tech companies allocate to experimental tools [10][12] - Despite being backed by major sponsors like Amazon, Google, and Microsoft, the Rust Foundation struggles to provide adequate financial resources for maintaining core developer positions [10][12] Industry Trends - The increasing focus on AI and its resource demands are seen as a threat to funding for other technologies, including Rust, as noted by Nethercote [5][12] - The open-source community is urged to find innovative funding models to ensure the sustainability of projects like Rust, rather than relying solely on developer passion [12]

Core Viewpoint - GOSIM HANGZHOU 2025 aims to provide a platform for innovative open-source projects to thrive, collaborate, and evolve, emphasizing an open, diverse, and inclusive culture [2][3]. Group 1: Event Overview - The GOSIM HANGZHOU 2025 conference will take place on September 13-14 in Hangzhou, focusing on the intersection of open-source and AI technologies [3][4]. - The event will feature keynote speeches, high-end forums, thematic forums, workshops, hackathons, and special activities, showcasing cutting-edge technology and innovative ideas [4][5]. Group 2: High-Profile Participants - The conference will gather over 1,500 leading open-source developers and more than 100 experts from around the world, offering over 100 high-quality technical presentations [6]. - Notable speakers include Mehdi Snene, Nooman Fehri, and Satya Mallick, among others, representing various prestigious institutions and companies [6]. Group 3: Focus Areas - The event will highlight core areas such as open-source and AI, with a collective showcase of open-source achievements and AI industry practices [7][8]. - Key topics will include AI models and infrastructure, embodied intelligence, the internet of agents, applications and agents, and next-generation AI [10][21]. Group 4: Interactive Experience - The conference will enhance participant engagement through hackathons, interactive demos, and various competitions, allowing attendees to actively participate rather than just observe [11][25]. - Activities will include a robotics competition, AI gaming contests, and workshops that encourage hands-on experience and collaboration [11][24]. Group 5: Thematic Forums - Five thematic forums will explore different aspects of AI, including learning mechanisms, human-machine symbiosis, ethical governance, and AI as a global public good [20][22]. - Each forum will feature insights from top experts and practitioners, providing a multi-dimensional perspective on AI's impact [20]. Group 6: Workshops and Hackathons - The conference will host 12 thematic workshops and four hackathons, focusing on practical applications and innovations in AI and open-source technologies [23][24]. - Participants will have the opportunity to work on real-world problems and develop solutions under the guidance of industry experts [23]. Group 7: Rust Anniversary Event - The conference will also celebrate the 10th anniversary of Rust, featuring discussions on its development and future role in technology [26]. - This event will include forums on Rust's applications in enterprise infrastructure, memory safety, and high-performance computing [29].

Core Viewpoint - The article highlights a significant shift in the AI startup landscape, where up to 80% of U.S. AI startups are reportedly using open-source models from China instead of those from established players like OpenAI and Anthropic [2][4]. Group 1: Market Dynamics - The dominance of Chinese open-source AI models is reshaping the competitive landscape, with predictions that this trend could extend globally, potentially reaching near 100% usage outside the U.S. [4][5]. - The article notes that Chinese models have surpassed U.S. counterparts in various intelligence tests, indicating a growing capability that approaches proprietary models [4][5]. Group 2: Industry Expert Insights - Martin Casado, a partner at Andreessen Horowitz, emphasizes the importance of open-source in AI, arguing that the industry is witnessing a shift from open-source to closed-source models, despite the initial support for open-source [6][8]. - Casado points out that while open-source models are proliferating, the actual implementation and replication of these models require significant investment, often exceeding hundreds of millions of dollars [9]. Group 3: Performance Rankings - A recent ranking from Design Arena shows that the top 16 open-source AI models are all from China, with the highest non-Chinese model ranked 17th, underscoring China's dominance in the open-source AI space [11][12]. - The ranking methodology relies on user preferences rather than automated metrics, suggesting that Chinese models are outperforming their competitors in real-world applications [12]. Group 4: Community Reactions - Community feedback reflects a consensus that Chinese models offer better cost-effectiveness for startups, making them a logical choice in a competitive funding environment [15][16]. - Despite some skepticism regarding the credibility of rankings, the prevailing sentiment is that the utility of the models is what ultimately matters, regardless of their origin [16].

AI Model Releases and Advancements - Anthropic released Claude for Chrome as a research preview, allowing Claude to control the Chrome browser [1] - Nvidia released Neatron Nano 9B V2, a 9 billion parameter reasoning model, achieving a score of 43 on the artificial analysis intelligence index [1] - Google released Nano Banana, a Gemini 2.5% Flash Image model, demonstrating superior performance in image editing [1] - Nouse Research released Hermes 4, an open-source hybrid reasoning model in 70 billion and 405 billion parameter versions, emphasizing creativity and uncensored interaction [2] - Microsoft released Vibe Voice, an open-source text-to-speech model, with performance on par with advanced voice mode [20][21] Talent Movement and Company Strategy - Meta Super Intelligence Labs experienced departures of key staff, including researchers and engineers, following Meta's push to compete with OpenAI and Google [1] - Bert Mayor, who spent 12 years at Meta and helped develop PyTorch, joined Anthropic [1] - Apple is in talks to use Google's Gemini AI to power a revamped Siri [3][4] AI Infrastructure and Economic Impact - AI infrastructure spending is propping up the economy, with global spending projected to reach $375 billion in 2025 and $500 billion the following year [16][17] - Nvidia is publishing papers on making LLM inference 50+ times faster through post-neural architecture search [9] Agentic Coding and Flight Search - Grock Code, a small version of Grock, is available in coding platforms like Windsurf and Cursor at $0.20 per million input tokens and $1.5 per million output tokens [2] - Kiwi.com released a flight search MCP server, allowing agents to search for flights with detailed parameters [6][7] AI in Weather Prediction - Google's AI model accurately forecasted the strongest Atlantic storm this year, potentially becoming the gold standard for predicting severe weather [13]