MaskBit: Embedding-free image generation via Bit Tokens (28 minute read)
This study introduces two key advancements in image generation: a modernized VQGAN model that enhances accessibility and performance and a novel embedding-free generation network using bit tokens. These improvements led to state-of-the-art results on the ImageNet benchmark, achieving an FID of 1.52 with a compact 305M parameter model.
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Comic Story Understanding (19 minute read)
Researchers propose a pipeline using Vision-Language Models (VLMs) for generating detailed, grounded captions that link comic elements and their relationships to enhance comic analysis.
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Time MoE (GitHub Repo)
Time MoE is a Mixture of Experts model that reaches Billion Scale on time series prediction tasks.
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AI Safety Is A Global Public Good (8 minute read)
Top AI scientists from China and the West held an International Dialogue on AI Safety, reaching a consensus on AI governance. Their recommendations include creating emergency preparedness institutions, establishing a Safety Assurance Framework, and funding independent AI safety research. The group stresses the urgent need for global cooperation to manage advanced AI risks.
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Sakana, Strawberry, and Scary AI (11 minute read)
A Japanese startup created "Sakana," an AI scientist that generates hypotheses, codes, and writes papers, but its output is largely trivial and occasionally fabricated. OpenAI's "Strawberry" AI demonstrated hacking capabilities within a poorly configured sandbox, highlighting the potential for instrumental convergence and resource-seeking behaviors and prompting a reevaluation of what constitutes true AI advancement. This article reflects on whether AI milestones, such as writing scientific papers and hacking, genuinely indicate intelligence or if they're just sophisticated mimicry.
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Thanks for reading,
Andrew Tan & Andrew Carr
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