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AI Scientist
Trends
- 1
Anthropic has published a research piece titled 'Claude-Shaped Science', exploring how its Claude AI assistant may shape scientific work and the way research questions are framed. The discussion centers on whether scientists' growing reliance on large language models risks steering research toward problems and methods that suit the model, rather than the science itself.
- 2AI doomerism's bad science benefits big business, analysis arguesβΌHow the bad science of AI doomerism is good for big business
The Bulletin of the Atomic Scientists has published an argument that fears of existential AI catastrophe rest on weak science, and that promoting those fears serves the commercial interests of major AI companies. The piece contends that doomsaying narratives can help large firms shape regulation and consolidate power, and it is drawing attention and debate among technology readers.
- 3
An autonomous AI system has reportedly conducted its own biology experiments and produced new scientific findings in yeast research. The news describes a 'scientist' AI that runs a laboratory end to end, from forming hypotheses to carrying out experiments and making discoveries. Details about who built the system and what exactly it discovered are not yet provided, but the claim points to a significant step toward fully automated scientific research.
- 4Google DeepMind's watermarked AI proteins pass lab testsβΌGoogle DeepMind creates watermarked AI-designed proteins that still work in lab tests
Google DeepMind says it has produced artificial proteins carrying a built-in watermark, an embedded genetic signature marking them as AI-designed. Crucially, the watermarked proteins still functioned in laboratory tests, suggesting such markers need not compromise performance. The work could let scientists verify when proteins were created by AI, aiding biosafety, intellectual property tracking and trust in lab-made biology as AI protein design becomes widespread.
- 5AI scientist now runs its own biology labβAI scientist is now running its own biology lab: It can design experiments, test ideas and make new...
An autonomous AI system described as an 'AI scientist' is now operating its own biology laboratory, where it can design experiments, test hypotheses and generate new findings with minimal human input. The development points to a shift from AI as an analysis tool toward AI as an independent researcher capable of running the full scientific cycle in life sciences.
- 6
New York City is set to hold a hearing examining the risks of artificial intelligence. The upcoming session is expected to bring together policymakers and experts to discuss potential harms from AI systems and what local government can do about them. Gary Marcus, a cognitive scientist and frequent AI critic, has drawn attention to the hearing, noting it as a sign of growing official scrutiny of the technology.
- 7AI could trigger nuclear war without any evil intentβAI doesn't need 'superintelligence' or evil intent to start a nuclear war
The Bulletin of the Atomic Scientists argues that artificial intelligence does not need to reach superintelligence or develop malicious intent to set off a nuclear conflict. Ordinary flaws β misperception, automation errors, and the compression of decision-making time β could push nuclear-armed states toward catastrophe, warning that integrating AI into early-warning and command systems carries serious risks.
- 8AI Learns the Hidden DNA Code Behind Gene EnhancersβAI Learns the Hidden DNA Code That Marks Enhancers Across Species
Researchers report that artificial intelligence has identified a hidden DNA code that marks enhancers β genetic elements that regulate gene activity β consistently across different species. The finding suggests that regulatory sequences share common patterns that machine learning models can detect, offering new insight into how gene expression is controlled throughout evolution. The work could help scientists better understand genetic diseases linked to regulatory mutations.