Can we make generative AI models accelerate without sacrificing quality? Huanlin Gao and team from China Unicom & Nanjing University just unveiled MeanCache! This training-free caching framework tackles a key problem: traditional methods rely on instantaneous speed, leading to
RESEARCH
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AI Scientist Paper Published in Nature, Interview with Yutaro Yamada
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An interview article with Yutaro Yamada of Sakana AI, one of the lead authors of the AI Scientist paper recently published in @Nature magazine, has been published in Nikkei Digital Governance. nikkei.com/prime/digital-gov… In this article, Mr. Yamada provides a comprehensive explanation of the current state of AI-driven scientific research, covering both the achievements of AI Scientist and its challenges. As mentioned in the article, one of the important findings from this research is that we experimentally demonstrated that the quality of generated papers can improve as the performance of the underlying AI model improves. "Being published in a top-tier scientific journal means that Sakana AI's paper-creation system has been recognized as having 'passed' the scientific version of the Turing test." The article also accurately addresses the current limitations of AI Scientist. What matters to us is not just what today's models can do. The Nature paper's achievement is that we quantitatively tracked the relationship between model performance and research quality, thereby revealing what could be called "scaling laws for scientific research." We believe this provides valuable insights for broader discussions about the future of science. "In the paper published in Nature this time, we demonstrated that if the performance of the AI model underlying the system improves, there is potential to enhance the quality of generated papers, and future developments are expected. Yamada of Sakana AI states: 'I want to improve the quality of automated research and help human researchers achieve surprising results.'" The article also mentions that AI-generated papers are watermarked and that the experiments were conducted under the approval of ethics committees and academic societies. In an era when AI is significantly transforming the nature of science, Sakana AI will continue to explore the possibilities of AI in science through ongoing dialogue with the scientific community. Blog: sakana.ai/ai-scientist-natur… [Translated from EN to English]
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DeepMind hires philosopher to investigate AI consciousness implications
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DeepMind has hired a philosopher to study AI consciousness. I'm really curious about what exactly they've observed internally.
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Best Edge AI Award: Local VLM Multi-Rover Mars Explorer
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Won best edge AI at the @ycombinator and @innate_bot hackathon! We built a local VLM multi-rover orchestrator for Mars exploration. On-device navigation and automated fault detection & recovery across odometry, stereo vision, and lidar. Thanks for hosting, @ax_pey!
→ View original post on X — @scobleizer, 2026-04-14 02:00 UTC
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Famous Researchers Versus Majority Scientific Consensus
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"two famous researchers" != "the majority of researchers"
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RIFT: Taxonomy of Rubric Failure Modes for AI Evaluation
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Rubrics have become widely accepted for evaluating agents and models, but how are we evaluating the rubrics themselves? In a new paper we’ll be presenting at the Data-FM workshop at @iclr_conf
, we introduce RIFT: a taxonomy of 8 rubric failure modes across: ➜ reliability
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Science as Understanding vs Science as Profession
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Science as a way of understanding the world is absolutely marvelous.
— Bojan Tunguz (@tunguz) 13 avril 2026
Science as a profession is totally retarded. https://t.co/NyVEgK1axhScience as a way of understanding the world is absolutely marvelous. Science as a profession is totally retarded.
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Daraxonrasib Shows Promise Doubling Pancreatic Cancer Survival
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Your daily dose of good news: Revolution Medicines says its potential breakthrough pancreatic cancer drug succeeds in late-stage trial Experimental drug daraxonrasib delivered stunning Phase 3 results, nearly doubling survival (13.2 vs. 6.7 months) and cutting the risk of death
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AI Index 2026 Released: Data on AI Authors and Inventors
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See data on the net flow of AI authors and inventors and thousands of other insights in the #AIIndex2026, released today.
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Opportunities and Challenges in AI Regulation
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Opportunities and challenges in AI regulation
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn