In case anyone wants to improve/change/use it:
TECHNOLOGY
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Spatial Reasoning Benchmarks for AI Video Models
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Larus went ham with this one! Love the synced highlighting on the camera path, something I wanted to try myself.
— Bilawal Sidhu (@bilawalsidhu) 29 mai 2026
Makes me think these could end up as spatial reasoning benchmarks for ai video models, esp in cities with existing 3d data as ground truth. pic.twitter.com/x8BBPPuOEuLarus went ham with this one! Love the synced highlighting on the camera path, something I wanted to try myself. Makes me think these could end up as spatial reasoning benchmarks for ai video models, esp in cities with existing 3d data as ground truth.
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WordPress categories covering AI topics
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Web designers after reading this: https://t.co/yONuEtjT8L pic.twitter.com/p3y16ldruL
— Charly Wargnier (@DataChaz) 27 mai 2026Web designers after reading this:
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Recursive Flow Matching: New AI Approach for Scientific Simulation
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Scientific simulation has a brutal tradeoff: fast is usually coarse,
accurate is usually expensive. A new paper by Jiahe Huang, Sihan Xu, Sharvaree Vadgama, and Rose Yu proposes a serious way through that bottleneck: Recursive Flow Matching. The target is one of the hardest -
Abacus AI ChatLLM: Unified Interface for Frontier Models
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Claude Opus 4.7, Sonnet 4.6, GPT-5.5 (Thinking + Pro), Gemini 3.1 Pro, DeepSeek V4 Pro, and Kimi 2.6 Thinking. All running inside Abacus AI ChatLLM – one workspace to access, compare, and switch between the top frontier models without juggling tools. Opus 4.7 → deep reasoning,
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AI as Transformative Tool Beyond Productivity Booster
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Thinking of AI as a productivity booster for prior workflows is the wrong framing. Like all of the previous waves of computerization/softwarization, AI is a tool that lets you do new things in new ways.
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Huawei τ Scaling: Beyond Transistor Shrinking for AI
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Interesting direction from Huawei at ISCAS 2026. The proposed “τ Scaling” approach moves beyond traditional transistor shrinking and focuses more on reducing latency and improving efficiency across chips, interconnects, and AI systems. Concepts like LogicFolding, hybrid
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Prompt for AI-assisted B-roll mapping
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4. The B-Roll Architect Prompt: "You are a video editor who uses B-roll strategically, not decoratively. Review my script and shot list. For every section, map out the exact B-roll needed to support the narrative. Categorize each B-roll clip as one of three types: → SHOOT:
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Teaching Claude Code Basics in an Accessible Way
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I'm a big advocate for teaching more people the fundamentals of using Claude Code in an accessible manner. Much of the world hasn't yet used AI agents, and there's a huge opportunity to level the playing field and broaden access.
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Apple’s OS/Hardware synergy could extend to LLM performance
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Just thinking aloud: Apple systems performance is better because they own both the OS and hardware. Likewise if they own llm + harness layer, performance might improve.