The article is a satirical and critical examination of the AI industry, focusing on the overhyped nature of AI innovations and the problematic practices within the field. It discusses the author’s personal experiences as a data scientist, the discrepancies between AI’s promised impact vs. its actual utility, and the societal and operational inefficiencies exacerbated by the misplaced focus on AI. The piece concludes with a call to address foundational problems rather than overinvesting in AI as a panacea.

The 2023 Annual Letter by Chamath Palihapitiya reflects on the past year’s economic and technological trends, advising founders and highlighting the shift towards prudent capital allocation, the impacts of rate tightening, the transformative role of AI, and the strategic shift towards deglobalization and domestic production. It also emphasizes the importance of understanding value creation in the AI ecosystem and navigating the new terrain of the creator economy.

This article discusses the cultural and ideological implications within Google, highlighted by reactions to their AI tool Gemini. Featuring insights from former employees and a detailed exploration into the company’s prioritization of diversity, equity, and inclusion over business and product efficacy, it sheds light on the systemic biases and the resultant cultural shift post-James Damore’s memo incident. The narrative unfolds through a critique of Google’s current work environment, ideological echo chamber, and its impact on product development and staff recruitment strategies.

Inversion is a family of structured language models designed to solve speed, reliability, and reasoning issues in traditional AI systems, achieving up to 100× faster speeds and significantly lower latency.

Nvidia CEO Jensen Huang announced a new generation of AI chips called Blackwell, aiming to solidify Nvidia’s dominance as a primary supplier for AI companies. The announcement includes the introduction of the GB200 chip, which will enhance the performance of AI model training. Additionally, Nvidia is diversifying into a platform provider with the launch of its NIM software, designed to facilitate AI deployment. The move, amidst increasing competition, marks a strategic shift in Nvidia’s business model.

The article discusses the evolution of ultrasound technology, emphasizing the miniaturization and affordability of handheld ultrasound devices enabled by silicon ultrasound technology and AI, potentially revolutionizing medical diagnostics and expanding their applications beyond specialized clinical settings.

The article discusses how AI censorship tools, funded in part by the federal government, are being used to control the visibility of information online, particularly information that opposes government and corporate media narratives. It highlights the concerns raised about freedom of speech, government transparency, and the potential impact on public opinion. The article also touches on the involvement of federal agencies in these censorship efforts, raising questions about the constitutional implications of such actions.

Alan Kay explores a range of topics in a talk at UCLA, moving from the impact of graphical user interfaces to the implications of AI and the relationship between technology practitioners and theorists. He stresses the transformative power of GUIs, the unpredictability of AI, and calls for a more integrated approach to technology development.

Meta announces the construction of two 24k GPU clusters as a significant investment in its AI future, emphasizing its commitment to open compute, open source, and a forward-looking infrastructure roadmap aimed at expanding its compute power significantly by 2024. The clusters support current and future AI models, including Llama 3, and are built using technologies such as Grand Teton, OpenRack, and PyTorch.

Zed is a high-performance coding environment that leverages CPU and GPU power, integrates AI for code generation, and emphasizes collaboration with features like real-time code editing and shared workspaces. It introduces advancements such as GPUI framework for smooth rendering and uses Rust for multi-core processing efficiency. Zed also features a full syntax tree for enhanced coding assistance and supports conflict-free collaborative coding through CRDTs.