A closer look at LongLive-2.0: • Generates long video at 720p
• Preserves subject and background consistency across multi-shot sequences
• Able to switch prompts at chunk boundaries
LLMS
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LongLive-2.0 AI Model Generates Long Videos with Consistency
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Expensive MacBooks run MiniMax with low performance and limited context
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Good example of Performative Inference / Local AI grifting MiniMax-M2.7 on 4x M5 Max MacBooks (~$22,000 USD) – Longest prompt: 338 (???) – Max context: ~3k (???) – 45 tok/s (lol) – Single prompt, no parallel requests Some of the funniest & stupidest shit I've ever seen
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Descriptive Words Significantly Impact AI Output Quality and Nuance
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crazy how far a single descriptive word can shift ai output quality. nuancemaxxxing actually works on ai
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Patching vulnerabilities found by Claude Mythos: Project Glasswing update
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Patching these vulnerabilities will make us safer. But the software industry will need to adapt to the volume of vulnerabilities that models like Claude Mythos Preview will be able to find. We discuss this in our initial update on Project Glasswing:
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Causal SFT needs far less expert data than standard SFT
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SFT is hungry for expert data. Causal SFT relies more on its own interventions and needs far less expert data. https://
love4all.ai/blog/emergent-
reward-maximization/
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On-policy distillation needs teacher sharing thinking and offering novelty
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What if the best teacher for a language model isn’t the strongest one? Researchers from Tsinghua University and collaborators show that on-policy distillation (OPD) succeeds only when student and teacher share thinking patterns and the teacher offers genuinely new
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Gemini 3.5 Flash Outperforms 3.1 Pro in Vision Use Cases
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Gemini 3.5 Flash outperforms 3.1 Pro on many vision use cases (like the below Roboflow eval) while being ~6x faster on average Gemini multimodal understanding for the win.
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Qwen 3.5 27B: Buy RTX 3090s or Stay Underclass
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If you saw Qwen 3.5 27B and didn’t see that as a chance to ensure the permanent underclass semi-joke never happens to you (by simply purchasing a couple of RTX 3090s) I am sorry to say but you ngmi
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DeepSeek v4 Pro 75% Discount, Only 27% Compute and 10% Cache
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Let that sink in for a moment. DeepSeek v4 pro 75% discount. Permanent! In: $0.43
Out: $0.87 If you read the DeepSeek v4 tech paper you know that this model is insanely good when it comes to efficiency. Only 27% compute and only 10% cache compares to v3.2. SemiAnalysis wrote -

Boost coding productivity with GitHub Copilot, ChatGPT, OpenAI
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Supercharged Coding with #GenAI — From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI: http://
amzn.to/3VBH2Su v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Discover how GitHub Copilot, ChatGPT, and the OpenAI API can boost your coding productivity Push