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lifesdna

@lifesdna

lifesdna #lifesciences #Wellness #science #healthcare #wellbeing #lifestyle 4 Humanity #marketplace #PAAS #IP w/ #Blockchain #AI #metaverse #searchengine #tech

London, England Katılım Eylül 2017
602 Takip Edilen819 Takipçiler
lifesdna
lifesdna@lifesdna·
Scientists reveal how seven days of fasting transforms the human body flip.it/fIvroB
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lifesdna@lifesdna·
Scientists Finally Figured Out What Makes Your Dreams So Weird flip.it/W1Tyu9
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lifesdna@lifesdna·
How many steps are needed per day to lose weight? New study says it’s not 10,000 flip.it/K-Io5H
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lifesdna@lifesdna·
Versions of You in Other Universes May Be Subtly Affecting Your Destiny, Oxford Physicist Says flip.it/3dweWE
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lifesdna@lifesdna·
7 Mind-Bending Questions About Consciousness That Have No Easy Answers flip.it/Sg2qV4
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Neo Kim
Neo Kim@systemdesignone·
If I had to start with LLM from scratch, I'd learn these 30 concepts: 1 LLM 2 Token 3 Tokenization 4 Embeddings 5 Latent Space 6 Parameters 7 Pre-training 8 Base Model 9 Instruct Model 10 Fine-Tuning 11 Alignment 12 RLHF 13 Prompt 14 System Prompt 15 User Prompt 16 Context Window 17 Zero-Shot Learning 18 Few-Shot Learning 19 Chain-of-Thought 20 Inference 21 Latency 22 Temperature 23 Hallucination 24 Grounding 25 RAG 26 Workflow 27 Agent 28 Multimodality 29 Benchmarks 30 Guardrails What else should make this list?
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SingularityNET
SingularityNET@SingularityNET·
When Altman and Amodei discuss how quickly AI could displace human workers, who are they really talking to? CEO Dr. @bengoertzel: “It would be investors, because if all jobs are going to be taken over by AI, you better own a piece of that AI, right?” fastcompany.com/91533894/the-h…
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Antonio Grasso
Antonio Grasso@antgrasso·
Synthetic workforce models let organizations simulate roles and skills without exposing personal data, opening a controlled space for strategic decisions. From here, hiring, reskilling, and mobility can be planned with measurable impact. Microblog @antgrasso
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Andrew Ng
Andrew Ng@AndrewYNg·
How we prompt AI is very different in 2026 than 2022 when ChatGPT came out. I'm teaching a new course, AI Prompting for Everyone, to help you become an AI power user — whatever your current skill level. It covers skills that apply across ChatGPT, Gemini, Claude, and other AI tools. How to use deep research mode for well-researched reports on complex questions. How to give AI the right context, including more documents and images than most people realize you can provide. When to ask AI to think hard for several minutes on important decisions like what car to buy, what to study, or what job to take. And how to use AI to generate images, analyze data, and build simple games and websites. I also cover intuitions about how these models work under the hood, so you know when to trust an answer and when not to. Along the way, you'll see flying squirrels, a creativity test, some of my old family photos, and fireworks. Join me at deeplearning.ai/courses/ai-pro…
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How To AI
How To AI@HowToAI_·
Students who use AI to study remember LESS than students who don't. A randomized controlled trial released in November exposed the dark side of AI-assisted learning. Researchers split 120 university students into two groups. Half used ChatGPT to research and summarize a complex topic. Half used traditional methods. No AI. At first, the AI group felt like geniuses. They finished the assignment in 3.2 hours. The traditional group struggled for 5.8 hours. The AI group thought they were 2x as productive. They thought they had hacked the system. Then came day 45. The researchers brought everyone back for a surprise test to see who actually retained the information. The results are a massive warning for every student, researcher, and professional. The group that struggled the traditional way? They scored 68.5%. The group that used ChatGPT? They crashed to 57.5%. The researchers identified the exact mechanism causing this. They call it the "cognitive crutch." When you outsource the friction of learning to an AI, you eliminate what cognitive scientists call "desirable difficulty." Your brain needs to struggle to encode long-term memory. The effort is the architecture. When ChatGPT summarizes the text, organizes the bullet points, and extracts the meaning, it removes the cognitive load. Less load means weaker encoding. Weaker encoding means the knowledge evaporates.
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Jaynit
Jaynit@jaynitx·
Elon Musk explains his 5-step algorithm for solving any problem: "The most common mistake of smart engineers is to optimize a thing that should not exist." "I have this very basic first principles algorithm that I run as a mantra." Elon breaks it down: Step 1: Question the requirements. "Make the requirements less dumb. The requirements are always dumb to some degree, no matter how smart the person who gave you those requirements. You have to start there, because otherwise you could get the perfect answer to the wrong question." Step 2: Try to delete it. "Try to delete the part or the process step entirely. If you're not forced to put back at least 10% of what you delete, you're not deleting enough. Most people feel like they've succeeded if they haven't been forced to put things back in. But actually they haven't, they've been overly conservative and left things in that shouldn't be there." Step 3: Optimize or simplify. "The most common mistake of smart engineers is to optimize a thing that should not exist. So you don't optimize until after you've tried to delete." Step 4: Speed it up. "Any given thing can be done faster than you think. But you shouldn't speed things up until you've tried to delete it and optimize it otherwise, you're speeding up something that shouldn't exist." Step 5: Automate. "And then the fifth thing is to automate it." Elon explains why the order matters: "I've gone backwards so many times where I've automated something, sped it up, simplified it, and then deleted it. I got tired of doing that. So that's why I have this mantra."
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Marcos Agustín
Marcos Agustín@marcosagusstinn·
Europe cannot accept a €20T economy being treated like a vassal. Why is a €20T economy treated like a vassal? ; Fragmentation. A continent of medium powers pretending to act global — alone. No scale. No coordination. No power. There is only one path: 1. Capital Markets Union + Single regulatory system → Higher GDP growth, higher real wages growth, larger share of global private sector growth 2. Renewables + nuclear + electrification → Maximize energy sovereignty from external powers while structurally lowering costs vs the US and China 3. Unified defense system → Common foreign policy acting as a single bloc 500M people. + €20T economy. Acting as ONE. app.openmacro.ai/insights/what-…
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Antonio Grasso
Antonio Grasso@antgrasso·
Digital advertising revenue is concentrating in a few global platforms, with more than half flowing through three players. As budgets scale beyond one trillion dollars, market entry increasingly depends on platform rules and algorithms. Microblog @antgrasso
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Alex Moore
Alex Moore@heyalexmoore·
Oxford University offers free online courses with certificates. No payment or application is needed to advance your career. Here are 10 free Oxford courses to improve your skills in 2026:
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Robert Scoble
Robert Scoble@Scobleizer·
The future of video games in this paper. I asked Grok to explain why it is important but in language my stupid brain can understand: ++++++ Grok answered: Hey kiddo! Imagine you’re playing a video game and your character can suddenly run, jump, climb walls, grab toys, dance, and fight dragons—all super smooth and real-looking, like a real person or animal. Right now, grown-ups who make games have to draw every single move by hand, and it takes forever and sometimes looks a little stiff or glitchy. MotionBricks is like a magic super-brain for the computer. It knows 350,000 different moves all by itself and can make them happen crazy fast—like 15,000 times every second! That means the game characters (and even real robots) can move naturally, without weird pauses or sliding feet. Why is that a big deal? •Games will feel way more fun and real, like you’re really inside the adventure. •Robots in the real world will get smarter faster—they’ll be able to walk around your house, pick up stuff, and help people without getting stuck or breaking things. So it’s like giving video games and robots a giant box of magic Lego moves that build themselves. Pretty cool, right? That’s why everyone is excited! 🚀
tingwu.wang@TingwuWang

What is missing to bring real-time motion research into AAA games and real-world robotics? We present MotionBricks, a step toward bridging this gap with two key components: - a single generative latent motion backbone covering 350,000+ motion skills, running at 15,000 FPS with 2 ms latency and substantially improved quality and reliability. - a unified smart primitive interface for locomotion, object / scene interaction, with fine-grained control over generated behaviors. Webpage: nvlabs.github.io/motionbricks/ Code: github.com/NVlabs/GR00T-W… Paper: arxiv.org/abs/2604.24833 (ACM TOG / SIGGRAPH 2026)

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Vala Afshar
Vala Afshar@ValaAfshar·
“The greatest weapon against stress is our ability to choose one thought over another. Instead of worrying about what you cannot control, focus your energy on what you can create.”
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