From Baby Talk to Baby A.I. (6 minute read)
Dr. Brenden Lake of NYU aims to bridge human cognitive studies and AI by recording his daughter's POV to develop a language model, challenging the current AI approach that relies heavily on large datasets. This work explores how AI can learn from the sensory input akin to a toddler's experience. The research could lead to AI capable of conceptual mapping through association, similar to human language acquisition.
Lamini AI $25m Series A (4 minute read)
Lamini, an Enterprise AI platform, makes it possible for software teams within enterprises to develop new LLM capabilities that reduce hallucinations on proprietary data, run their LLMs securely from cloud VPCs to on-premise, and scale their infrastructure with model evaluations that prioritize ROI and business outcomes over hype. It raised a $25M Series A led by Amplify Partners.
Microsoft-backed OpenAI may launch search, taking on Google's 'biggest product' (2 minute read)
OpenAI is reportedly planning a major announcement on May 9, possibly unveiling a new search engine that could challenge Google. This engine may use Microsoft Bing's infrastructure, aligning with OpenAI CEO Sam Altman's vision of revolutionizing information discovery beyond the current Google model. If true, this could significantly disrupt the search engine market and how users find information online.
The AI Hardware Dilemma (6 minute read)
Recent AI-powered hardware launches, like the Humane Pin and Rabbit R1, have faced criticism, yet there's still significant venture capital and interest in the sector, with prominent figures like Sam Altman eyeing substantial investments. The allure lies in AI's potential to revolutionize consumer hardware by utilizing sensors, silicon, and interfaces creatively. However, the challenge to offer a compelling alternative to versatile smartphones remains, with AI still needing to mature and hardware startups struggling to compete with established tech giants.
Penzai (3 minute read)
Penzai, a JAX library, enables easy manipulation and understanding of trained models through legible, functional Pytree structures. It includes a diverse set of tools for model visualization, debugging, and component analysis. Installation and usage are straightforward, with detailed tutorials available for learning to build and manipulate neural networks using Penzai.