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Serve Robotic Going Public Via Patricia Acquisition Corp

Serve Robotics, an autonomous sidewalk delivery robot startup born from Uber's acquisition of Postmates, is going public via a reverse merger with Patricia Acquisition Corp, following a recent completion of the merger detailed in regulatory filings.

Prior to this, Serve raised $30 million in funding from investors like Uber, Nvidia, and Wavemaker Partners, supplemented by a total funding of $56 million, and post-merger, Uber will own a 16.2% stake, and Nvidia an 11% stake in Serve, with Uber's Sarfraz Maredia joining Serve's board. Originating as Postmates X, the robotics segment of Postmates, Serve's self-driving sidewalk robots commenced deliveries in LA in 2018, formalizing their commercial service in 2020.

After Uber's $2.65 billion acquisition of Postmates in 2020, Postmates X became Serve Robotics, led by CEO Ali Kashani. Kashani's reconsideration of fundraising strategies due to a banking incident led to exploring a blank-check merger route.

Serve plans to utilize the new funds to expand into new U.S. markets, enhance technology, and scale its 100-robot delivery fleet, including up to 2,000 robots in collaboration with Uber Eats. Kashani underlines the company's strong position for growth, highlighting consistent monthly delivery volume increases of over 30% for the past 18 months, stating that the company's progress demands further resources.

NVIDIA’s CEO Unveiling the GH200 Grace Hopper

NVIDIA's visionary CEO and founder, Jensen Huang, rekindled the momentum of generative AI at the influential SIGGRAPH conference, likening the unfolding generative AI era to the iPhone's transformative impact. The revelations showcased NVIDIA's technological prowess, unveiling the GH200 Grace Hopper Superchip platform, the innovative NVIDIA AI Workbench, and a substantial enhancement to NVIDIA Omniverse through generative AI and OpenUSD integration. 

With a focus on convergence, Huang underscored the inseparability of graphics and AI, accentuating AI's pivotal role in shaping virtual worlds. Reflecting on NVIDIA's groundbreaking AI integration into GPUs five years ago, Huang accentuated the subsequent overhaul of GPUs for AI with the potent NVIDIA HGX H100 system. Huang introduced the Grace Hopper Superchip and its advanced HBM3e memory variant, followed by a glimpse into the future with the next-generation GH200 Grace Hopper superchip, poised to revolutionize generative workloads.

This platform's dual configuration promises unparalleled computational capabilities, heralding a transformative AI-driven computing era anticipated to debut in the second quarter of 2024, marking another stride in NVIDIA's path to computational excellence.

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ChatGPT Will Bankrupt OpenAI By 2024

OpenAI is currently spending approximately $700,000 daily to operate ChatGPT, with recent investments from Microsoft and others covering costs; however, a report from Analytics India Magazine warns that without prompt profitability, OpenAI could face bankruptcy by the close of 2024. 

Although the company projected annual revenues of $200 million in 2023, with aspirations of $1 billion in 2024, mounting losses of $540 million since ChatGPT's inception cast doubt on these ambitions. The report highlights declining user visits to the ChatGPT website, attributing this in part to API cannibalization as companies restrict direct usage but leverage APIs for other workflows, while also noting the emergence of open-source large language models like Meta's Llama 2 as a competitive challenge.

GPU shortages further impede OpenAI's progress, limiting model development, and Elon Musk's development of the 'TruthGPT' chatbot presents additional competition, as does the rise of open-source alternatives. Despite a transition to a paid ChatGPT version potentially generating revenue, the report underscores uncertainty about its financial impact, ultimately questioning OpenAI's financial viability amidst these intricate challenges.

Google in Talks with Universal Music for Licensing AI Songs

Google and Universal Music are currently in talks to establish a licensing agreement allowing the integration of artists' voices and melodies into AI-generated songs. These discussions may involve developing a tool for fans to create AI-generated music, with copyright holders receiving compensation and artists having the option to participate.

The motivation behind these negotiations stems from the growing trend of fans using AI programs to produce deepfake music, imitating artists' styles on platforms like TikTok. Universal Music recently removed an AI-generated song resembling Drake and the Weeknd's voices from streaming services due to concerns of copyright infringement. This collaboration addresses the evolving challenges posed by AI technology in the music industry, including intellectual property issues and the protection of artists' rights.

The CEO of Warner Music Group underscores artists' importance in decisions regarding AI music, while legal experts highlight the potential copyright implications of AI-generated music. Overall, these discussions navigate the intricate intersection of AI, artistic expression, and copyright protection, potentially shaping the future landscape of music creation and consumption.

AI Can Now Detect Astroids That Humans Can’t

An AI-powered program has successfully detected a 600-foot-wide asteroid that has the potential to approach Earth at a distance of 140,000 miles or approximately 2,25,000 km—closer than the Earth-moon distance—thus categorizing it as a Potentially Hazardous Asteroid (PHA). While the likelihood of an imminent collision is low, the discovery holds significant importance as it showcases the capabilities of an AI algorithm-driven system known as HelioLinc3D.

This algorithm was collaboratively developed by scientists and AI experts to aid astrologers and researchers at the Vera C Rubin Observatory in Chile, which is dedicated to surveying the night sky and identifying asteroids that might pose a threat to Earth. The AI algorithm enables the identification of potentially hazardous rocks, thereby enhancing safety measures. The discovery of the asteroid, named 2022 SF289, underscores the practical effectiveness of the software employed by the Rubin Observatory for identifying thousands of unknown PHAs, contributing to Earth's security.

Scientists posit that the solar system contains tens of thousands of celestial bodies, ranging from small rocks to moon-sized dwarf stars, remnants of ancient stars or materials from the planetary formation processes that transpired approximately 4.5 billion years ago. This successful application of AI technology to asteroid detection not only exemplifies the collaboration between AI and scientific expertise but also underscores the instrumental role of AI in safeguarding against potential future cosmic threats.