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Weekly Review 7 August 2026

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Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):Some jobs that are less likely to be replaced by AI, and why: https://www.stuff.co.nz/world-news/361013227/rogue-chatgpt-tried-hack-other-companies-says-openai An AI hedge-fund just imploded: https://futurism.com/artificial-intelligence/situational-awareness-ai-investor-crumbling Researchers used AI to analyse accounts of dreams: https://www.theregister.com/offbeat/2026/07/29/ai-digs-through-3700-accounts-of-dreams-and-waking-life-finds-method-in-the-madness/5279775 AI detectors are pretty much useless, but other factors can lead to

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One of science fiction’s greatest writers warned us about a AI. Does he also hold the remedy? | Alan Finkel

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What might a modern day equivalent of Isaac Asimov’s laws of robotics look like? Guided by the author, I propose the three laws of AITesla and SpaceX founder Elon Musk predicted in July that legions of AI-powered robots would dominate the physical world and that AI might not take orders from people any more. He

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Liquid AI Releases LFM2.5-2.6B: An On-Device Agentic Model With 128K Context, Tool Calling, And Open Weights

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Liquid AI released LFM2.5-2.6B, an agentic model that runs entirely on-device. It plans, calls tools, and works through multi-step tasks on phones, laptops, PCs, and robots. The model has 2.69B total parameters, a 131,072-token context window, and a 128,000-token vocabulary. Pre-training used approximately 34 trillion tokens. Two checkpoints shipped: LFM2.5-2.6B-Base for fine-tuning, and LFM2.5-2.6B post-trained

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