Until today, Audio Overviews in @GoogleAI NotebookLM was the most impressive AI innovation I'd seen this year. And then I tested @GoogleDeepMind
’s new @GeminiApp Deep Research. It's mind-blowing.
GENERATIVE AI
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Google’s Latest AI Innovations: NotebookLM and Gemini Deep Research
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GM Shuts Cruise; Western Chips in Russia; Gemini Advances
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New on @airstreetpress
: Street Talk #2. We share three things that caught our eye this week in AI: 1. Road to nowhere: GM shuttering Cruise 2. To Russia with love: Western chips making their way into Russian weapons 3. Gemini comes of age: GDM cooks! Link below -
Inner Monologues of Language Models Explained
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the inner monologues of language models on @airstreetpress… pic.twitter.com/hKgm4zlmma
— Nathan Benaich (@nathanbenaich) 13 décembre 2024the inner monologues of language models on @airstreetpress
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ChatGPT sees my activities in real time: amazing result
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I just let ChatGPT SEE everything I do, in real time. The result? MIND-BLOWING Curious to see that?
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youtu.be/Lv2a4Iy1zKk – I take it into my YouTube studio
– I take it into my LinkedIn creation
– I take it to play chess… #ChatGPT #AI #GPT4o -
Why Politeness Improves ChatGPT Performance by 30%
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Why I Say Please to ChatGPT Discover why being polite to AI isn't just good manners – it's backed by science! Learn how saying "please" and "thank you" to ChatGPT can improve its performance by up to 30%. Find out the perfect balance between professional courtesy and
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ChatGPT Exceeds IQ of 99% of French People
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ChatGPT now has an IQ higher than 99% of French people!
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MoEs for Production Usage in AI Systems
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Yeah! But that’s okay no? I see MoEs more for actual production usage.
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Three Megatrends Shaping Futures: AI, Quantum, Renewables
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3 #Megatrends Shaping our Futures People: 68% Urban by 2050; 367K Quantum Grads in 2023; Life Expectancy: 73 yrs Tech: #AI market to $1.6T by 2030; Data to 292ZB in 2025; $500B Space Economy Resources: Renewables at 29%, $4.5T by 2030 via @mikequindazzi
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DeepSeek-VL2: Enhanced Multimodal Model with Dynamic Tiling
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Improvements from v1: > 2x high-quality training data vs DeepSeek-VL1
> Dynamic image tiling for flexible resolutions + efficient DeepSeek-MoE for LM
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DeepSeek-VL2 Achieves SoTA Vision Performance with Fewer Parameters
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The whale strikes again! DeepSeekVL 2 > DeepSeek-VL2-Tiny, DeepSeek-VL2-Small, and DeepSeek-VL2, with 1.0B, 2.8B, and 4.5B activated parameters
> SoTA perf with similar or fewer activated parameters compared to Qwen 2 VL
> Excels at visual question answering, optical