Guest Lineup: Doug O'Laughlin (President, SemiAnalysis), Koray Kavukcuoglu (Chief AI Architect, Google), Logan Kilpatrick (Group Product Manager, Google Deep Mind), Abhishek Fatehpuria (Vice President of Product, Robinhood) Download Humanities Last Prompt Engineering Guide (free) 👇🏼 https://bit.ly/4kFhajz Download The Matthew Berman Vibe Coding Playbook (free) 👇🏼 https://bit.ly/3I2J0YQ Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.ai Discover The Best AI Tools👇🏼 https://tools.forwardfut ...

Model Improvement & Usage - Model improvements to core intelligence don't significantly impact consumer-focused chatbot users [8][12] - For many personal use cases, speed is more important than the absolute best response, as long as the response is correct [7][13] - Reasoning models are not as crucial for Chat GPT, whose users often prioritize fast answers [14] - Consumers may not fully understand the range of topics the chatbot can address, even with faster, non-reasoning models [17] OpenAI's Internal Dynamics - Tension exists between the research and product divisions within OpenAI [20] - OpenAI had to shift compute resources from research to product development to meet demand, sacrificing future advancements for present needs [27][28] Market Perception & Competition - The perception exists that Anthropic is geared towards enterprise users, while OpenAI is more consumer-focused [9][10] - OpenAI's Chat GPT has strong brand recognition among consumers, which helps it gain traction in the enterprise market [32][33][34] - Integrations and distribution are crucial for success, representing a significant challenge for OpenAI [15][35][36]

Guest Lineup: Doug O'Laughlin (President, SemiAnalysis), Koray Kavukcuoglu (Chief AI Architect, Google), Logan Kilpatrick (Group Product Manager, Google Deep Mind), Abhishek Fatehpuria (Vice President of Product, Robinhood) Download Humanities Last Prompt Engineering Guide (free) 👇🏼 https://bit.ly/4kFhajz Download The Matthew Berman Vibe Coding Playbook (free) 👇🏼 https://bit.ly/3I2J0YQ Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.ai Discover The Best AI Tools👇🏼 https://tools.forwardfut ...

Gemini 3 Flash is here and it is extremely fast, nearly as good as Gemini 3 Pro and on some benchmarks, even better. It's super efficient and very cheap. It is the best overall model on the planet right now.Here are the benchmarks. So, first the price. It's 50 cents per million input tokens, which is a fourth of the cost of Gemini 3 Pro, a sixth of the cost of Claude Sonnet 4.5%, and a third of the cost of GPT 5.2%. And as you can see here, it is comparable on almost every single major benchmark against Gem ...

Chad GPT is quickly becoming the de facto internet. More and more of the functionality from apps that you know and love is ending up in Chad GPT natively. Just a few months ago at OpenAI's dev day, they launched apps for Chad GPT.That means native feeling applications directly in Chad GPT. And best of all, you can prompt them with natural language. And now one of the biggest names in professional applications is offering their biggest products directly in Chad GPT.and that is Adobe, Photoshop, Express, and ...

Model Performance & Cost - Gemini 3 Flash is presented as a highly competitive model, achieving near parity with Gemini 3 Pro in various benchmarks while being significantly cheaper and faster [1][6][18] - The model excels in coding, even surpassing Gemini 3 Pro in the SweetBench verified benchmark [1][8] - Industry analysis indicates Gemini 3 Flash demonstrates efficient token usage, requiring fewer tokens on average to achieve comparable results [19] - Benchmarks show Gemini 3 Flash achieving high scores in areas like multimodal understanding and reasoning (MMU Pro) and code execution [7] Economic Viability & Market Impact - The input price for Gemini 3 Flash is $0.50 per million tokens, a quarter of the price of Gemini 3 Pro ($2 per million tokens) and a fraction of the cost compared to GPT 5.2% and Claude Sonnet 4.5% [6] - Google is positioning Gemini 3 Flash as the default model in its Gemini app and AI mode in Google search, making it widely accessible at no cost to users [14][15] - The industry views Gemini 3 Flash as potentially the most economically viable model due to its balance of performance, speed, and cost-effectiveness [14] - The model's speed and efficiency are particularly beneficial for computer use models, addressing previous slowness issues [20] Strategic Positioning - Google's strategic advantage lies in its combination of high-performing, cost-effective models, extensive distribution channels, vast data resources, and custom silicon [16] - The company's decision to offer Gemini 3 Flash for free is seen as a critical competitive move, potentially disrupting the market for agentic coding and AI applications [15][17] - Industry experts suggest Gemini 3 Flash is becoming the new default for vibe coding and is being rapidly adopted across Google's product suite [16][13]

Model Performance & Pricing - Gemini 3 Flash is significantly cheaper, costing a fourth of Gemini 3 Pro and about a third of GPT 5.2's price [1] - Gemini 3 Flash achieves an Arc AGI score of 33.6%, surpassing other models except GPT 5.2% [1] - In SWE verified coding ability tests, Gemini 3 Flash scores 78%, outperforming Gemini 3 Pro's 76% [2] Technical Specifications & Capabilities - Gemini 3 Flash requires 17,000 tokens compared to Gemini 3 Pro's 24,000 tokens [3] - Gemini 3 Flash has multimodal reasoning capabilities, processing video, images, and audio [3] Market Impact & Strategy - Google has made Gemini 3 Flash the default model in Google Search's AI mode [3] - The industry considers speed crucial for search, suggesting Google aims to gain a competitive edge [3]

This is the tech that got AI to be the best in the world at chess, Go, League of Legends, and even master autonomous driving. And today, I'm going to show you how to set it up and actually run it on your home computer. And by the way, I'm partnering with Nvidia on this video.They wanted me to put together this tutorial, and I thought it would be awesome to show you how to do RL locally. So, how did this actually happen. How did AI surpass humans at all of these games.The answer is reinforcement learning. An ...

The biggest news of the week is GPT 5.2% was dropped. I covered it in a video yesterday, so I won't go too deep into it, but it is a really, really good model. It excels at coding, knowledge work, tasks, frontier math, and so much more.If you have any paid OpenAI accounts, it will be available to you in chatbt. com. Next, speaking of OpenAI, the unthinkable happened.Disney is partnering with them. OpenAI is going to bring Disney characters to Sora. So, you're going to be able to prompt Sora and use the like ...

Guest Lineup: Fabian Stelzer - Co-Founder (Glif), Tejal Patwardhan - Researcher (OpenAI), Christina Cacioppo - Co-Founder & CEO and Jeremy Epling - Chief Product Officer (Vanta), Spenser Skates, CEO & Co-Founder (Amplitude Analytics) Download Humanities Last Prompt Engineering Guide (free) 👇🏼 https://bit.ly/4kFhajz Download The Matthew Berman Vibe Coding Playbook (free) 👇🏼 https://bit.ly/3I2J0YQ Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.ai Discover The Best AI Tools👇🏼 https://tools. ...