Introducing OpenAI Japan (2 minute read)
OpenAI has opened an office in Japan. ChatGPT Enterprise is being adopted in Japan by businesses such as Daikin, Rakuten, and TOYOTA Connected. The Japanese government, focusing on AI policies for societal benefit, has collaborated to share ChatGPT best practices.
Adobe's Working On Generative Video (3 minute read)
Adobe is developing an AI model to generate video, which will be integrated into Premiere Pro later this year. It will feature object addition, removal, and generative extend capabilities. Adobe is collaborating with third-party vendors and addressing deepfake concerns through Content Credentials.
OpenAI and Meta Reportedly Preparing New AI Models Capable of Reasoning (3 minute read)
OpenAI and Meta are teasing the next iterations of their AI models, expected to feature enhanced reasoning and planning capabilities. Dubbed GPT-5 and Llama 3, the models aim to advance toward artificial general intelligence, with vague release timelines and application details. The tech community remains skeptical given the history of overhyped AI promises with limited substantive evidence.
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Engineering & Resources
3D Human Motion Capture (3 minute read)
Addressing the challenges in monocular egocentric 3D human motion capture, especially under difficult lighting and fast movements, researchers introduce a novel method using a fisheye event camera.
The Agony and Ecstasy of Reviewing Humane's Ai Pin (23 minute read)
Humane's Ai Pin, an AI-powered wearable, has many technical issues, from music streaming to AI assistant malfunctions. Despite its ambition to create an ambient computing experience, the first-generation device suffers from performance lags and a lack of essential features, though future software updates are promised. The Ai Pin is designed with attention to detail but struggles to replace traditional smartphones, positioning itself as a companion device for a more present and less screen-focused lifestyle.
You can't build a moat with AI (4 minute read)
AI differentiation is challenging, but the key lies not in AI models like LLMs, which are becoming commoditized, but in the unique data fed into these models. Effective data engineering is crucial as it directly impacts AI performance, with applications requiring integration of customer-specific data to provide accurate responses. Thus, creating a competitive edge in AI applications hinges on innovative data use rather than the AI technology itself.