It opened at $43. So with us is Chime board member and Menlo Ventures partner, Sean Carroll. Sean, it's great to have you on the program, and I'm going to start right there.What's got investors so excited about chime is this sort of this new era of fintech and what chime represents or is it a company specific story. >> I think every company is a company specific story. And chime set out with a new vision of how banking could treat their customers.Reimagining just from the ground up. Like, what does it look ...

Core Viewpoint - The article discusses the recent controversy surrounding the open-source tool AList, which has reportedly been sold and is now facing significant backlash due to the new owner's questionable history [1]. Group 1 - AList has been taken down, leading to a surge of discussions and complaints, with approximately 350 posts in a closed issue thread [1]. - The closure of the issue thread indicates a significant level of user dissatisfaction and concern regarding the future of AList under new ownership [1].

Mumbai：印度孟买， 常被视为提供廉价技术劳动力的地区 真 AI、真 LLM、真 API… ↓↓↓ Gujarati：印度的古吉拉特邦，以商业著称 往期趣图 （点击下方图片可跳转阅读） ...

TECHNOLOGY. YOU HAVE BEEN A BUSY DUDE, THAT IS FOR SURE IN THE LAST WEEK OR SO. TELL US ABOUT TODAY -- WAS IT MORE ABOUT STYLE THAN SUBSTANCE IN TERMS OF WHAT APPLE HAD TO SAY.ED: YES BUT THEY WOULD ARGUE THAT LIQUID GLASS AND THE UPDATE TO THE INTERPHASE ACROSS ALL OPERATING SYSTEMS IS PROBABLY THE BIGGEST THEY HAVE DONE. THE STOCK IS OFF SESSION LOWS AND MOVED AROUND BUT I WOULD GO TO THE TICKER AND THE MOMENT THE KEYNOTE STARTED AND WE SWUNG FROM MODESTLY POSITIVE TERRITORY DOWN ALMOST 2%. YOU HAVE TO RE ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):Trace and evaluate any AI/LLM app in 3 lines of code!- Initialize an eval with LangWatch (line 3)- Decorate the LLM workflow method (line 5)- Log the evaluation (line 11)You can keep using Pandas and your other favorite tools.100% open-source! https://t.co/J7dxnMmKdC ...

Trace and evaluate any AI/LLM app in 3 lines of code!- Initialize an eval with LangWatch (line 3)- Decorate the LLM workflow method (line 5)- Log the evaluation (line 11)You can keep using Pandas and your other favorite tools.100% open-source! https://t.co/J7dxnMmKdC ...

OpenAI meets MCP!Now you can add tools from any MCP server to your OpenAI LLM calls.Below, I integrated the @MindsDB MCP server, which lets you query 200+ data sources in plain English or SQL.Takes just 3-5 lines of code! https://t.co/uzbBEq61AD ...

AI发展趋势 - AI发展迅速，远超预期 [1][3][41] - AI用户增长速度超过以往任何消费产品，但需区分有意使用和无意接触AI的用户 [8][9] - AI在图像和视频领域的应用日益普及 [18] - 中国在AI领域发展迅速，与美国积极竞争 [33] AI技术与应用 - AI性能日益逼真，能够模拟人类行为，图灵测试已不再适用 [14] - 反向图灵测试可能成为现实，AI可用于评估人类知识水平 [15][16] - AI可用于定制化评估，尤其是在教育领域 [18] - Gemini上的查询长度是Google搜索的两到三倍，表明用户对AI聊天机器人的使用方式不同 [23] AI成本与收益 - AI所需的能源成本大幅下降，自2014年以来，每个LLM token的能源需求降低了105,000倍 [28] - 尽管资本支出巨大，但AI的货币化方式正在发生变化，从前期投入大量资金进行训练，转变为训练加推理，更接近运营支出 [30][32] - 市场对AI产品的可接受价格正在上涨，例如每月200美元到2000美元 [32][33] 自动驾驶 - 特斯拉计划推出Robotaxi [34] - Waymo的自动驾驶服务即使在小范围内运营，其增长趋势也可能在未来12个月内超过Uber [34] - 自动驾驶的普及将取决于价格、可用性和用户体验 [36]

Core Insights - The article discusses the potential of AI Agents, emphasizing their evolution from tools to colleagues in business applications and future organizational changes [2][10][15]. Group 1: AI Day Overview - The AI Day event, themed "AI Agents: From Copilot to Colleague," gathered over 200 CEOs and tech executives to explore AI Agents' commercial applications and technological advancements [2]. - New benchmarking tool xbench was introduced to address the evaluation of AI capabilities and their practical utility in real-world scenarios [7][8]. Group 2: xbench Tool Features - xbench aims to redefine AI capability assessment with a dual-track evaluation system: AGI track for basic AI capabilities and Profession Aligned for practical business applications [8]. - The tool incorporates a long-lasting evaluation system that transforms fluctuating scores into a monotonic growth curve, allowing for clearer tracking of AI capability development [8]. Group 3: AI Agent Evolution - Key characteristics of AI Agents include generalization, enabling them to perform tasks beyond traditional models, and the integration of model intelligence, expert knowledge, and user feedback [10][11]. - The discussion highlighted the importance of economic value and production costs in AI Agent projects, with a focus on abstracting production methods for scalability [10]. Group 4: Future Organizational Changes - The rise of AI Agents is likened to the mobile internet boom, with optimistic funding sentiments in early-stage companies [15]. - Future enterprises may trend towards smaller, flatter organizational structures, enhancing employee efficiency but increasing management complexity [16]. Group 5: Insights from Industry Leaders - Google Cloud and AWS representatives shared insights on AI strategies, emphasizing the need for companies to redefine their value propositions in the evolving tech landscape [18][19]. - The importance of continuous interaction with users and maintaining brand identity in the AI era was also discussed, highlighting the need for precise audience engagement [15].

Core Viewpoint - The article discusses the superiority of human capabilities over large language models (LLMs), highlighting a recent demonstration by the creator of Redis, suggesting a resurgence of human potential in various fields [1]. Group 1 - The article emphasizes the importance of human skills and creativity in contrast to artificial intelligence [1]. - It references a visual representation that humorously suggests a movement to enhance human capabilities, titled "Make Human Great Again" [1].