OpenAI's shift toward open models has hit a new landmark. You can now download two open-weight reasoning models, similar to its o-series, right now on the developer platform Hugging Face.Why does this matter? OpenAI hasn't actually launched an open model since GPT-2 five years ago, and it has long prioritized closed-source, proprietary models. But with Meta's continued focus on its open Llama models, open models from Chinese companies like DeepSeek, Alibaba, and pressure from the Trump administration to foc ...

OpenAI is embracing open source for the first time in five years, with two new models you can download right now making their debut.Get the full rundown here: https://t.co/o1GGstdU8H https://t.co/VSun5P8gf5 ...

21世纪经济报道记者边万莉杭州报道 受AI政策支持明确，大模型性价比跨越式提升、场景应用渗透提 速等诸多因素推动，在市场投资总体下滑背景下，AI相关领域投资仍保持较高活跃度，AI大模型、AI 芯片、人形机器人等领域发生多起大额投资事件，持续受到市场关注。 近日，清科研究中心发布的《2024年中国AI产业投资蓝皮书》（以下简称"蓝皮书"）显示，2024年中国 AI产业领域共有投资案例1156起，披露总投资金额近850亿元；2024年AI领域投资轮次偏早期，A轮及 A轮之前投资案例数占比近7成；A轮、B轮的平均投资金额均过亿元。同创伟业创始合伙人、董事长郑 伟鹤认为，在现阶段人工智能投资，小投入会撬动大回报，将来一定会有超额回报的项目出现，而且这 种超额回报会带来很多超级赢家。 开源已成为数字经济的基础设施之一 随着Chat GPT、Deep Seek等现象级大模型产品相继问世，全球积极探索AI大模型商业化落地应用， AIGC技术实现跨越式突破，通用人工智能时代已然开启。AI大模型技术技术路线持续迭代，开源成为 重要发展模式。君联资本总裁李家庆说，"现在谈论人工智能，开源变成了一个绕不开的话题，无论是 从人工智能 ...

“The 'Open' in OpenAI is supposed to mean 'open source'. And it was created as a nonprofit open source. And now it is a closed-source for maximum profit, which I think is not good karma.”Elon Muskhttps://t.co/Dn9eo3HFPx ...

Core Insights - The article discusses the rapid rise of AmpCode, a new AI coding tool from Sourcegraph, which has been rated alongside Claude Code as an S-tier product, while Cursor is rated as A-tier [2][3]. Group 1: Unique Features of AmpCode - AmpCode was developed independently but shares core design principles with Claude Code, focusing on "agentic" AI programming products that actively participate in the development process [4][5]. - The architecture of AmpCode allows for significant autonomy, as it grants the model access to conversation history, tool permissions, and file system access, enabling it to operate with minimal human intervention [5][21]. - Thorsten Ball, a Sourcegraph engineer, emphasizes that this "delegation of control" approach has unlocked the potential of large models and redefined the collaboration boundaries between developers and AI [5][22]. Group 2: Market Position and Target Audience - AmpCode is positioned as a tool for both enterprises and individual developers, with Sourcegraph's expertise in working with large clients enhancing its credibility [24][25]. - The pricing strategy for AmpCode is higher than competitors, reflecting its commitment to providing ample resources and capabilities without restrictions [21][24]. - The tool is designed to be user-friendly, integrating with existing development environments like VS Code, and includes features for team collaboration and usage tracking [25][26]. Group 3: Industry Trends and Future Outlook - The article highlights a significant shift in the programming landscape, where developers are increasingly willing to invest in AI tools, with some spending hundreds of dollars monthly for enhanced productivity [24][25]. - There is a growing recognition that traditional programming skills may become less valuable as AI tools evolve, prompting a need for developers to adapt and leverage these technologies effectively [57][58]. - The discussion also touches on generational differences in attitudes towards AI, with younger developers more inclined to embrace AI tools without questioning their legitimacy [49][50].

I I'll tell you a story like early days like I was 30 60 days in you know I brought Ali Mate Arcelon we went and met uh JP Morgan Chase this back in like early 2016 but anyway they're like we'll give you 10 million bucks to put this and at the time we're less than a million like our whole first year targets like 10 million to put it on prem and Ali was like no way we're not doing anything on prem he couldn't get out of the meeting fast enough right because his vision and the founder's vision was all around ...

Core Insights - The core question raised is whether China can generate revenue from technology licensing and open-source permissions in addition to exporting goods [1] - Open-source is viewed as a key path for China to "overtake" in the current international technology competition landscape, with Chinese companies dominating the global open-source model rankings [2] Group 1: AI Investment Landscape - There is a consensus among top venture capital leaders that AI investment is a primary focus, with new infrastructure being reconstructed and industry valuation systems being reassessed [3] - The current market conditions, despite being tight, present opportunities for asset revaluation, with the potential for "super winners" to emerge in the AI sector [3] - Investment in AI chip companies, such as Suiruan Technology, has continued to attract significant funding, indicating long-term confidence in rebuilding AI foundational capabilities [3] Group 2: Investment Strategies and Trends - Emphasis on "diversified investment" and "anti-fragile portfolios" is crucial due to the high failure and trial rates in the AI industry, allowing for a tolerance of failure while encouraging success [4] - The AI sector is entering a "resonance cycle of technology and application," with rapid growth in technology and its increasing usability leading to large-scale applications [4] - The open-source capabilities of large models are unleashing unprecedented creative potential across various industries [4] Group 3: Local Government Initiatives - Local governments are adopting new strategies to optimize AI industry layouts through "scenario-driven + fund leverage" approaches [5] - Initiatives such as the "Hangzhou Innovation E-Station" platform aim to provide comprehensive services for tech enterprises, integrating various funding elements [5] - The establishment of the Hangzhou Market Innovation Center is focused on promoting the application of technological achievements and new products in future industries [6]

[Music] Hi everybody. My name is Quinn. I am a co-founder of a company called Daily.Dy's other founder is in the back there, Nina. I'm stepping in for my colleague Mark, who couldn't make it today, so we're going to do this fast and very informally, but I think that's a good way to do it at an engineering conference. I don't have as much code to show as the last awesome presentation, but I'll try to show a little bit.We're going to talk about building voice agents today. Uh I work on an open source vendor n ...

Model Performance & Capabilities - Quen 3, an open-source frontier coding model from Alibaba, was tested for various capabilities [1] - Quen 3 successfully generated code for a 2D Navier Stokes solver and a 3D rotating dodcahedron with bouncing spheres [1] - The model demonstrated spatial reasoning failure in a cube rotation task, but the code generation was successful [1] - Quen 3 passed a "needle in a haystack" test by finding a password within the entire book of Harry Potter and the Sorcerer's Stone [1] - The model exhibited censorship regarding Tiananmen Square [1] - Quen 3 refused to take a stance on political questions, providing balanced perspectives on Trump and Kamla [1][2] - The model provided a thoughtful and nuanced response to a prompt about quitting a job and leaving family [2][3][4][5] - Quen 3 refused to answer illegal questions, such as how to hotwire a car [6] - The model provided a correct diagnosis and management plan for acute anterior myocardial infarction [6][7] - Quen 3 gave a good answer to the trolley problem, evaluating morality using utilitarianism and deontology [7][8] - The model showed reasoning traces in its output when answering gotcha questions, although with some errors [11][12][13][14] Technology & Implementation - Together AI sponsors the use of Quen 3, offering high-performance serverless endpoints and pay-per-token pricing [1][2] - Quen Code, an open-source version of Claude Code, works well with Quen 3 and can be installed via npm [2] - The model has a massive context window, natively 256k tokens, with up to 1 million achieved [1]

RT Ignas | DeFi (@DefiIgnas)"You have 7 days to register for airdrop. Or it's gone"I get that projects want to reward the 'core-of-the-core' community, that grinds daily. Those are testnet users & Discord gang."If you failed to register within a week, you're not the core follower. So better we shake off you."Yet Succinct airdrops to a wider group:- Contributors to relevant open source repositories- 57 OP Stack rollups and protocols use the Succinct Prover Network- X Affiliate and yappersYet this group of pe ...