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- 1AI godfather Yann LeCun calls Anthropic CEO Dario Amodei deluded●AI ‘godfather’ Yann LeCun: Anthropic CEO Dario Amodei is ‘deluded,’ ‘crazy,’ and doesn’t understand cybersecurity
Yann LeCun, Meta's chief AI scientist and one of the field's so-called godfathers, publicly attacked Anthropic CEO Dario Amodei, calling him deluded and crazy and saying he does not understand cybersecurity. The comments add fuel to ongoing disputes among leading AI figures over how serious existential AI risks are, with LeCun long skeptical of doomsday claims and Anthropic prominent in warning about them.
- 2AI could trigger nuclear war without superintelligence, experts warn▼AI 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 system errors, miscalibration, or human overreliance on automated warnings could be enough to escalate tensions between nuclear-armed states, prompting renewed debate about integrating AI into military command and control.
- 3AI godfather Yann LeCun calls Anthropic CEO deluded on cybersecurity●AI godfather Yann LeCun: Anthropic CEO deluded, doesn't understand cybersecurity
Meta's chief AI scientist Yann LeCun publicly attacked Anthropic CEO Dario Amodei, calling him deluded and saying he does not understand cybersecurity. LeCun, often described as one of the godfathers of modern AI, clashed with Amodei, whose company makes the Claude chatbot and frequently warns about severe AI risks. The remarks add to a running feud between researchers who see AI doom warnings as overblown and lab leaders who argue the dangers are real.
- 4Schwartz Releases BootLoops 1.0 Open-Source LLM Tool for Science▼Schwartz Releases BootLoops 1.0, an Open-Source LLM Harness for Science
Researcher Schwartz has released BootLoops 1.0, an open-source harness designed to run large language models in scientific research workflows. The tool is intended to help scientists apply LLMs to experimental and analytical tasks in a reproducible way. Coverage so far is limited to software news, and details on the project's features, licensing and adoption remain sparse pending wider testing by the research community.
- 5Neil deGrasse Tyson says space-based AI data centers face many challenges▼Neil deGrasse Tyson: Putting AI chips, data centers in space faces 'many challenges' | The Hill
Astrophysicist Neil deGrasse Tyson says plans to put AI chips and data centers in space face 'many challenges', according to The Hill. His comments come as tech companies increasingly float orbital data centers as a way to handle the enormous power and cooling demands of artificial intelligence, and the remarks add a skeptical scientific voice to that debate.
- 6AI system designs and runs biology experiments autonomously●The system can propose biological questions, design experiments and send robots to test them. # science # ai # biology h
An AI-driven system has been developed that can propose biological research questions, design experiments to answer them, and direct robotic equipment to carry out the tests with minimal human input. The development is being shared widely among science and technology readers, with commentary focusing on what autonomous 'AI scientists' could mean for the speed and scale of biological research.
- 7Could AI data centre backlash spill over into quantum computing?▼Will the backlash against AI data centres hit quantum computing too?
New Scientist examines whether growing public and political resistance to AI data centres — driven by concerns over energy use, water consumption and local impacts — could also affect quantum computing projects, which rely on similar large-scale infrastructure and investment. As scrutiny of AI facilities intensifies worldwide, the question is whether quantum computing will be drawn into the same debate or continue to be viewed separately.
- 8AI Scientist Designs and Runs Lab Experiments Autonomously▼This AI Scientist Can Design Experiments, Run Them in the Lab and Learn From the Results
An artificial intelligence system can now design scientific experiments, carry them out in a physical laboratory, and learn from the results without human intervention. Reports describe it as a step toward automated scientific discovery, with the AI closing the loop between hypothesis, experimentation and analysis. Observers are debating what autonomous research could mean for the pace of science and the future role of human researchers.