Can a Start-Up Make Computer Chips Cheaper Than the Industry’s Giants?

San Francisco's mayor, Daniel Lurie, is embracing the future by advocating for the city to become a testbed for autonomous vehicles, setting it apart from other cities like Boston, which is contemplating a ban on such technology. This initiative not only positions San Francisco as a leader in innovation but also highlights the city's commitment to exploring the potential benefits of emerging technologies, which could enhance urban mobility and safety.

The final day of TechCrunch Disrupt 2025 is taking place at Moscone West in San Francisco, offering attendees a chance to dive into the latest innovations and scaling strategies in the tech industry. With a 50% discount available for registration, this event is a must-attend for anyone looking to stay ahead in the fast-paced world of technology.

Uber is set to launch its first robotaxi in the San Francisco Bay Area by late 2026, utilizing Lucid's Gravity SUV. This move follows plans to test 100 vehicles in the coming months, marking a significant step in the evolution of autonomous transportation. The introduction of robotaxis could revolutionize urban mobility, offering a glimpse into a future where self-driving cars become a common sight on our roads.

Uber is set to launch driverless rides in San Francisco using vehicles from Lucid and Nuro next year, marking a significant step in the competition with Waymo's established robotaxi service. This move not only showcases Uber's commitment to innovation in the transportation sector but also highlights the growing trend of autonomous vehicles in urban areas, which could reshape how we think about mobility.

Uber is set to launch a premium robotaxi service in San Francisco, directly competing with Waymo, which has been the leader in the area. This development is significant as it highlights the growing competition in the autonomous vehicle market, potentially offering consumers more choices and pushing innovation in the industry.

Substrate, a promising start-up based in San Francisco, is making waves in the tech industry by aiming to produce computer chips at a lower cost than established giants like ASML. This initiative is significant as it could disrupt the market, making advanced technology more accessible and potentially fostering innovation in chip manufacturing.

A new American startup named Substrate, backed by Peter Thiel, is aiming to disrupt the semiconductor industry by challenging the dominance of ASML and Taiwan Semiconductor Manufacturing Co. This is significant as it could lead to increased competition and innovation in the sector, potentially benefiting consumers and the tech industry as a whole.

Recent discussions highlight the instability of large language models (LLMs) in legal interpretation, suggesting they may not align with human judgments. This matters because the legal field relies heavily on precise language and understanding, and introducing LLMs could lead to misinterpretations in critical legal disputes. As legal practitioners consider integrating these models into their work, it's essential to recognize the potential risks and limitations they bring to the table.

A new study has been released that evaluates the performance of large language models (LLMs) in resolving coreferences in biomedical texts, which is crucial due to the complexity and ambiguity of the terminology used in this field. By using the CRAFT corpus as a benchmark, this research highlights the potential of LLMs to improve understanding and processing of biomedical literature, making it easier for researchers to navigate and utilize this information effectively.

A recent study introduces cross-lingual summarization attacks as a method to remove watermarks from AI-generated text. This technique involves translating the text into a pivot language, summarizing it, and potentially back-translating it. While watermarking is a useful tool for identifying AI-generated content, the study highlights that existing methods can be compromised, leading to concerns about text quality and detection. Understanding these vulnerabilities is crucial as AI-generated content becomes more prevalent.

A recent study highlights the development of a training pipeline that enhances both natural language chain-of-thought (N-CoT) and program chain-of-thought (P-CoT) for large language models. This innovative approach aims to leverage the strengths of both paradigms simultaneously, rather than enhancing one at the expense of the other. This advancement is significant as it could lead to improved reasoning capabilities in AI, making it more effective in solving complex mathematical problems and enhancing its overall performance.

The introduction of POWSM, a new phonetic open whisper-style speech foundation model, marks a significant advancement in spoken language processing. This model aims to unify various phonetic tasks like automatic speech recognition and grapheme-to-phoneme conversion, which have traditionally been studied separately. By integrating these tasks, POWSM could enhance the efficiency and accuracy of speech technologies, making it a noteworthy development in the field.

A new study introduces a data-driven approach to track the emergence of transformative technologies, particularly in the fast-paced field of Information and Communication Technologies (ICTs). Traditional methods often fall short due to rapid innovation cycles and unclear terminology. This innovative pipeline aims to enhance our understanding of technological trends, making it easier for stakeholders to adapt and thrive in a constantly evolving landscape.