Utilize humachineology studies to develop technohuman competencies.
TECHNOLOGY
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Why LLMs Respond to Stakes in Text
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You would ask me…Why does this work bro? LLMs are trained on human text and human text is full of stakes. When you add consequences, you're not just giving instructions. You're activating the model's training on how humans think and write when something actually matters.
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World models integration next year, humanoid robots in five years
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Not yet. That'll come next year as world models get integrated. They have warehouses of people training world models right now. The real race is to make them smarter and pave the way to the generalized humanoid robot, which will come probably in about five years. But the next
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Software Engineering Transforms in 2026: Humans Must Adapt to AI
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Software Engineering as a profession will continue to fundamentally change in 2026. Humans will need to learn to co-adapt to this evolving “alien technology” which comes with no real manual, and figure out how to operate it. What a time to be alive
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Steve Yegge argues for code rewrites in AI era
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very timely: @Steve_Yegge returned to LS to directly disagree with @spolsky
: https://
youtu.be/zuJyJP517Uw?si
=NWYrrvE7SKsfZWB4
… in the age of AI, you *should* rewrite your code! -
Future Programmers Will View Today’s Tech Experts as Outdated
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The undergrads of today will look at us like we looked at VHDL experts
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Stability AI Advances Text-to-Image Generation with SD 3.5
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Stability AI: text-to-image keeps leveling up
Stability’s SD 3.5 lineup and Stable Image models focus on higher-fidelity outputs, better prompt adherence, and options tuned for speed vs quality (including “Ultra” and faster variants). https://
buff.ly/nqNrGwy -

Google Veo 3.1 Refresh: Enhanced Video Generation with New Features
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Google: Veo 3 got refreshed (Veo 3.1)
Google shipped Veo 3.1 + 3.1 Fast with upgrades like: more options for clip durations (4/6/8 seconds) image referencing (up to 3 images) and first/last frame controls “extend” style workflows for Veo-created videos -

AI Research Enhances Robot Spatial Memory and Localization
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Why is this paper important? Because it makes robots much smarter and more reliable at remembering places! This paper lays out exactly how a car would figure out where it was just by looking around.
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Continuous Learning: The Only Sustainable Competitive Advantage
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Continuous learning is the only defensible moat.