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Time Stamps:0:00 Intro0:10 AI Images Are So Real Now!1:58 OpenAI Strawberry Weirdness5:18 Brockman and Schulman Leave OpenAI7:05 OpenAI New Board Member7:48 GPT-4o Safety Measures10:00 Anthropic Bug Bounty10:49 OpenAI Structured API Outputs11:20 OpenAI's Failure To Ship13:19 Using AI To Find A Job14:30 Elon Sues OpenAI (Again)15:16 YouTuber Sues OpenAI16:10 Nvidia Scraping YouTube17:13 Character AI Shakeup18:52 Qwen2-Math19:11 AI Video From ByteDance19:55 Runway's New Video Feature21:51 OpusClip Update23:34 WordPress to Get AI23:49 Amazon Music AI Search24:05 Audible AI Search24:27 Reddit AI Search24:49 AI Pin Refunds Outpace Sales25:15 New Google AI Streaming Device26:26 Wendys AI Drive-Thru27:25 AI Robot Table Tennis27:55 Apple Vision Pro and Robots28:28 Figure O2 Robot29:26 Final Thoughts
Claude is able to understand what is true vs false about the Lord of the Rings, which already goes beyond what Amazon's writers were able to comprehend.
Iasked ChatGPT 4o the exact same questions (by coping the parts in the transcript) . There are many similar answers. What intrigued especially me is that it used the same magnets example: "This experience can be metaphorically compared to trying to push two magnets with the same poles together?they resist each other, creating a kind of internal tension." It might be part of a related text in the original training material.
they resist each other, creating a kind of internal tension.
I think the robots things will have profound impacts on how we will live in a few years ahead.
Quote from: hamdani yusuf on 16/08/2024 04:32:31I think the robots things will have profound impacts on how we will live in a few years ahead. The washing machine and vacuum cleaner were supposed to liberate women from housework. What actually happened was just as much time spent on housework, but cleaner houses.People decide what they want to do, then acquire machines to help them do it.
Theorist, empiricist, and peer reviewer, all in one. It's the Judge Dredd of scientists.
In this video, I explore Google Gemini 1.5 Flash and its latest updates, which significantly enhance PDF processing. I'll show you how this multimodal model can efficiently handle tasks like text extraction, figure counting, and more, all without pre-processing. Plus, I compare it directly with GPT-4 to see how it stacks up. TIMESTAMPS:00:00 Introduction to Gemini 1.5 Flash for PDF RAG Systems00:15 Major Announcements and Price Reductions01:10 Fine-Tuning and PDF Vision Capabilities02:41 Testing PDF Understanding in Google AI Studio02:57 Comparing Gemini Flash with GPT-403:55 Extracting Information from PDF Files05:26 Challenges with Traditional RAG Systems05:54 Reference Extraction and Accuracy10:16 Multimodal Capabilities and Figure Analysis12:49 Table Extraction and Complex Data Handling15:58 Interacting with Gemini Flash via API
This week we'll cover all the most important releases and updates in the world of AI, including Grok 2, the insane realism of the new Flux image generator, surprise updates to ChatGPT and way more. It was a massive week in AI, watch this video to catch up on all the news you can actually use!Chapters:0:00 What?s New?1:02 Grok Images8:42 Brilliant10:12 Grok-2 Beta16:55 New ChatGPT Model17:59 Google?s Releases20:51 Viggle App22:26 Prompt Caching with Claude
It has been a few years since Google DeepMind CEO and co-founder, Demis Hassabis, and Professor Hannah Fry caught up. In that time, the world has caught on to artificial intelligence?in a big way. Listen as they discuss the recent explosion of interest in AI, what Demis means when he describes chatbots as ?unreasonably effective?, and the unexpected emergence of capabilities like conceptual understanding and abstraction in recent generative models.Demis and Hannah also explore the need for rigorous AI safety measures, the importance of responsible AI development, and what he hopes for as we move closer towards artificial general intelligence. ?Timecodes00:00 Introduction01:05 Public interest in AI03:22 Grounding in AI05:22 Overhyped or underhyped AI07:42 Realistic vs unrealistic goals in AI10:22 Gemini and Project Astra15:12 Project Astra compared to Google Glass18:22 Lineage of Project Astra21:22 Challenges of keeping an AGI contained24:22 Demis Hassabis's view on AI regulation28:22 Safety of AGI31:22 Timeline for the arrival of AGI33:22 DeepMind's progress on their 20-year project34:22 Surprising capabilities of current AI models38:22 Challenges of long-term planning, agency, and safeguards in AI41:22 Predictions about the future of AI and cures for diseases44:22 Conclusion
Atom Touch is a noninvasive prosthetic arm with individual finger control. It's controlled by muscle activity and thought.0:00 Testing a Mind-Controlled Prosthetic Arm0:22 What The Atom Touch Artificial Arm Does1:25 Putting on the Artificial Arm2:52 How One Controls the Atom Touch4:29 Demoing How To Train the Virtual Arm5:46 Atom Touch Construction and Materials
Embeddings are crucial for a production-ready RAG system but often get overlooked. I cover the costs, storage considerations, and ways to reduce storage requirements using techniques like dimensionality reduction and quantization. Learn how these methods can improve speed and save costs without compromising too much on performance.00:00 Introduction to Embeddings in RAG Systems00:47 Understanding Embedding Costs01:17 Storage Costs and Considerations03:32 Reducing Storage Needs03:41 Dimensionality Reduction Techniques04:24 Matrosha Representation Learning05:14 Precision Reduction Techniques06:28 Quantization Study by Hugging Face10:07 Implementing Quantization in Your Pipelines12:56 Using Open Source Vector Stores15:01 Conclusion and Final Thoughts
The internet is something that we all take for granted. But there's a worrying trend that's coming into view. Governments around the world are shutting down the internet as a form of control. This recently happened in Bangladesh but the mechanisms for such actions exist in Western nations. In this episode we explore the topic of when governments shut down the internet.
3:18 You know AI learned to research when they ask for a deadline extension and increase in budget.
Sakana.ai's new AI Scientist is a potential game-changer when it comes to AI's intelligence. With the ability to research and self-improve, the beginnings of AGI and ASI could be right around the corner! AI Scientist's capabilities aren't great yet, but with the ability to self-improve, we could be looking at the beginnings of an intelligence explosion--which is both exhilirating and terrifying.
00:00 - Introduction: AI's impact on software development00:45 - Amazon cloud chief's comments on AI replacing coding01:28 - AI's current coding capabilities02:10 - Prediction: Developers not coding in 24 months02:47 - Changing software development skills03:26 - AI transforming developer roles04:07 - Shift to innovation and user needs04:38 - Long-term changes in software development05:34 - Future of software developer roles06:27 - Potential job market changes07:45 - Optimistic view on creative opportunities08:58 - Short-term increase in demand for software engineers10:08 - Other tech leaders' similar predictions11:58 - NVIDIA CEO's perspective on programming13:09 - Balanced view: Addressing AI hype14:53 - OpenAI's Software Engineering Bench16:16 - Recent improvements in AI coding benchmarks18:09 - Analysis of improvement rate and future predictions20:27 - Grounding predictions in current data21:40 - Importance of considering actual AI benchmarks23:57 - Discussion of AlphaCode 2's performance25:49 - Comparison to human software engineering roles26:53 - Sam Altman on coding as a promising AI application27:34 - Takeaways and future implications for software engineering
At the 2024 World Robot Conference in Beijing, groundbreaking AI-powered humanoid robots showcased advanced capabilities like human-like interaction, industrial efficiency, and complex skill acquisition. These innovations highlight the rapid progress in robotics, with AI-driven robots increasingly working alongside humans in manufacturing, agriculture, and even entertainment. China's leadership in robotics and the integration of AI models are driving the global evolution of humanoid robots, promising a future where robots significantly enhance productivity and safety across various industries.
LLMs combined with theorem provers is really exciting because you can tell when they are "hallucinating".In two more papers? The paper won't be written by a human. Two more papers after that, it won't be read by a human.Two more Papers down the line they will give solutions a human can?t understand. Maybe it will look wrong to us but it?s right.
Google's new GameNGen paper describes how the build the classic Doom game from 1993 without a game engine. Learn how diffusion models could change the future of Game development 🔖 Topics Covered- Future trends in game development- Google's Doom Engine- Who is John Carmack?- Building doom with AI- Stable diffusion for game development- How does the Doom rendering engine work?
Check out the full paper to learn all the detail about how they let agents play the game and then used their learnings to create a fully generative game engine. Links:https://gamengen.github.io/--------------------------------------------------------------------------------- #generativegameengine
We've reached the point where AI images are cheap to make and look incredibly realistic. One of the best use cases for these image models is to put your own face into any custom image you can imagine. (Or the face of friends, family members, just make sure you have permission to use it!)In this video, I'll show you how you can use Flux to create any image you can imagine with custom faces.Prompts:Act as a stable diffusion photography prompt generator for [Name] that accepts a visual description and outputs a detailed paragraph of 100 words that I can copy into my diffusion model.[Additional Context]Always start the prompt with "Dynamic portrait of Igor". Include a variety of photography-related terminology including the description of the era Igor is in and most importantly a description of the lighting. Now give me a clear and concise natural language visual description of the following: [description]---------------------------------------------------------------------------------00:00 Your Face In Any Image00:36 Step-by-Step Guide