whales and smart money continue to load up on $BONK and #USELESS coin 👀they're positioning ahead of the aggressively explosive upside move that is coming!Stalkchain (@StalkHQ):Buying pressure in both $BONK and #USELESS https://t.co/ivLlErDirU ...

AI and Society - The article discusses how the AI Action Plan reshapes power dynamics [1] - The article emphasizes the importance of Black America's active participation in the AI landscape [1] Technology and Innovation - The article mentions Grok, potentially in relation to the AI Action Plan [1] Policy and Geopolitics - The article references "America First" in the context of AI [1]

RT Eric Wallzard (@ercwl)i'm finding it increasingly difficult to participate in modern discourse to the point that i don't really know what to do or how to talk to peopleover the past few years, i've seen the capabilities of ai continue to improve, and all the goalposts of what ai should/shouldn't be able to do constantly shiftit's completely obvious that we've discovered a way for machines to learn things. they're now at the capabilities in math and coding where they outcompete most humans on most task.it ...

RT Dave White (@_Dave__White_)the openai IMO news hit me pretty heavy this weekendi'm still in the acute phase of the impact, i thinki consider myself a professional mathematician (a characterization some actual professional mathematicians might take issue with, but my party my rules) and i don't think i can answer a single imo questionok, yes, imo is its own little athletic subsection of math for which i have not trained, etc. etc., but. if i meet someone in the wild who has an IMO gold, i immediately upda ...

Donald Trump set aside conventions that insulated the Department of Justice from White House pressure. He is now paying a price for that https://t.co/s6WUKaOLVH ...

展会现场热闹非凡，百度慧播星在当天还发布了一项令人瞩目的新技术——NOVA数字人技术。这项技术 预计将于今年10月全面开放给全行业，届时，普通用户将能拥有与顶级主播相媲美的专业带货能力，标志 着"超头主播"级能力的复制进入了规模化生产的新阶段。 飞桨平台作为中国首个自主研发并开源开放的产业级深度学习平台，集成了深度学习训练与推理框架、基 础模型库、端到端开发套件及丰富的工具组件。数据显示，截至2025年4月，飞桨平台已吸引了2185万名 开发者，为67万家企业提供服务，并创建了110万个模型，彰显了其在深度学习领域的强大影响力。 百度智能云也在今年4月成功点亮了自研的3万卡级超大规模计算集群。这一集群能够同时承载多个千亿参 数大模型的全量训练，并支持1000个客户同时进行百亿参数大模型的精调。依托百舸平台，该集群兼容多 种芯片、适配主流大模型框架，在单卡吞吐性能上相比国内主流芯片方案高出90%，同时在大规模、高并 发模型推理速度上提升了超过40%。 在WAIC大会上，百度还展示了包括秒哒、百度文库、百度网盘、百舸AI异构计算平台、百度智能云千帆 大模型平台，以及文心一言、文心快码在内的多款核心AI技术和产品， ...

Early on Anthropic decided that its ethical concerns precluded it from building entertainment or leisure products, which were potentially addictive. Instead it focused on AI in the workplace https://t.co/e1C314iRr1 ...

Core Insights - Bitmine Immersion Technologies has experienced a significant stock price increase of over 400% since announcing its Ethereum treasury strategy [1][2] - The company has pivoted from Bitcoin mining to focusing on Ethereum as its primary financial reserve, indicating a strategic shift in its business model [7][10] Company Overview - Bitmine's core business involves Bitcoin mining, utilizing immersion-cooled mining technology that is claimed to be more cost-effective and environmentally friendly compared to traditional methods [3] - The company also provides mining-as-a-service and Bitcoin treasury consulting services [3] Financial Performance - For fiscal 2024, Bitmine reported revenues of $3.3 million, reflecting a 413% year-over-year increase, primarily driven by its mining operations [4] - Despite the revenue growth, the company reported a net loss of $3.29 million, although its net cash used in operating activities showed improvement compared to the previous year [4] Strategic Moves - On June 30, Bitmine announced a $250 million private placement to fund its first Ethereum purchase, marking a significant strategic pivot [7] - The company aims to acquire and stake 5% of the overall Ethereum supply, holding 300,657 Ethereum tokens valued at over $1 billion as of July 17 [9][10] Market Position - Bitmine's stock has been volatile, peaking at $161 per share in early July before settling around $42 per share by July 24 [8] - The company is viewed as a "digital asset treasury" firm, differentiating itself from traditional Bitcoin miners [12] Investment Interest - Cathie Wood's Ark Investment Management has invested in Bitmine, purchasing 4.4 million shares, indicating strong institutional interest [2][11] - Other notable investors, such as Peter Thiel, have also taken positions in Bitmine, further validating its market potential [12] Valuation Metrics - Bitmine's price-to-sales (P/S) ratio stands at 16 on a trailing-12-month basis, suggesting it is trading at a premium compared to other crypto miners [14] - The company's valuation appears to be heavily influenced by its Ethereum holdings rather than its operational fundamentals [16][17]

Sharing recent progress from Physical Intelligence and why it is an exciting time to push the frontier in general purpose robotics About Quan Vuong Quan Vuong is co-founder at Physical Intelligence. His research focuses on generalist robotics and algorithms that enable intelligent behaviors through large scale learning. About Jost Tobias Springenberg Tobias is currently a research scientist at Physical Intelligence where he works on bringing AI into the real world and understanding the fundamentals of seque ...

Autonomous Driving History and Challenges - Autonomous driving research started in the 1980s with simple neural networks and evolved to end-to-end driving models by 2020 [2] - Scaling autonomous driving presents challenges, requiring solutions for long-tail events and rare scenarios [5][7] - Foundation models, like Gemini, show promise in generalizing to rare driving events and providing appropriate responses [8][9][10][11] Emma: A Multimodal Large Language Model for Autonomous Driving - The company is exploring Emma, a driving system leveraging Gemini, which uses routing text and camera input to predict future waypoints [11][12][13][14] - Emma is self-supervised, camera-only, and high-dimension map-free, achieving state-of-the-art quality on the nuScenes benchmark [15][16][17] - Channel reasoning is incorporated into Emma, allowing the model to explain its driving decisions and improve performance on a 100k dataset [17] Evaluation and Validation - Evaluation is crucial for the success of autonomous driving models, including open loop evaluation, simulations, and real-world testing [25] - Generative models are being explored for sensor simulation to evaluate the planner under various conditions like rain and different times of day [26][27][28] Future Directions - The company aims to improve generalization and scale autonomous driving by leveraging foundation models [30] - Training on larger datasets improves the quality of the planner [19][20] - The company is exploring training on various tasks, such as 3D detection and rograph estimation, to create a more generalizable model [21][22][23][24]