How ‘semantic chaining’ jailbreaks image generation models
Semantic Chaining exploits the fragmented safety architecture of multimodal models, bypassing filters by hiding prohibited intent within a sequence of benign edits. The post How ‘semantic chaining’ jailbreaks image generation models first appeared on TechTalks .
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From RTX to Spark: NVIDIA Accelerates Gemma 4 for Local Agentic AI
Open models are driving a new wave of on-device AI, extending innovation beyond the cloud to everyday devices. As these models advance, their value increasingly depends on access to local, real-time context that can turn meaningful insights into action. Designed for this shift, Google’s latest additions to the Gemma 4 family introduce a class of small, fast and omni-capable models built for efficient local execution across a wide range [ ]
On Art and LLMs
2025 saw its share of great movies; Hamnet was one that broke hearts. The film ends at the Globe Theatre in 17th-century London, with the performance of Hamlet . Agnes is furious that Shakespeare has taken their son's name for the stage after his death. As the play goes on, her agitation transforms into catharsis as she begins to understand what she is watching: a boy dies, and his father writes him back to life in verse, gives his name to a prince and a kingdom and a soliloquy, so that the dead child’s mouth can keep moving four hundred years after the dirt. Hamlet dies on stage. Agnes reaches forward. The whole audience reaches forward. On the Nature of Daylight is playing. I was seized not by a gentle cry but rather an outburst of sorts that seemed to have a life of its own. For minutes
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AI is guzzling energy for slop content – could it be reimagined to help the climate? - The London School of Economics and Political Science
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We Need Positive Visions of the Future
People don't want to talk about positive visions of the future, because it is not timely and because it's not the pressing problem. Preventing AI doom already seems so unlikely that caring about what happens in case we succeed feels meaningless. I agree that it seems very unlikely. But I think we still need to care about it, to some extent, even if only for psychological and strategic reasons. And I think this neglect is itself contributing to the very dynamics that make success less likely. The Desperation Engine Some people — or, arguably, many people — go to work on AI capabilities because they see it as kind of "the only hope." "So what now, if we pause AI?", they ask. The problem is that even with paused AI, the future looks grim. Institutional decay continues, aging continues, regula
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