RT Yuhuai (Tony) Wu (@Yuhu_ai_)Strongly recommend Grok 4 planning + Grok Code Fast execution.We will also ship out new coding products based on this concept soon. ...

RT Tibo (@thsottiaux)With gpt-5-codex, some will feel that it's the best thing since sliced bread, some will see its quirks.Personally it is my favorite collaborator for coding, fast for small things, working hard when it matters and a solid jump in produced code quality.$ codex -m gpt-5-codex ...

Coding reimagined.Amjad Masad (@amasad):Longer Autonomous Runs.Agent 3 is 10x more autonomous than V2, capable of handling much more complex builds by detecting and fixing errors on its own.You can track the progress of your build with Live Monitoring on your phone, freeing you up to focus on other creative work. https://t.co/0cXxGEu6NW ...

Model Introduction - Grok Code Fast 1 is a fast and economical reasoning model for agentic coding [1] - The model excels at agentic coding [1] Availability - Grok Code Fast 1 is available for free on multiple platforms including GitHub Copilot, Cursor, Cline, Kilo Code, Roo Code, opencode, and Windsurf [1]

Over the last year, a bunch of people advised others not to learn to code on the grounds of AI were automated. I think we'll look back on this as some of the worst career advice ever given because as better tools make software engineing easier more people should do it not fewer. So when many decades ago the world moved from punch calls to keyboard and terminal that made coding easier.When we moved from assemblies higher level languages like cobalt there actually people arguing back then that now we have cob ...

people seem to really like the new codex features!OpenAI Developers (@OpenAIDevs):We’re releasing new Codex features to make it a more effective coding collaborator:- A new IDE extension- Easily move tasks between the cloud and your local environment- Code reviews in GitHub- Revamped Codex CLIPowered by GPT-5 and available through your ChatGPT plan. ...

Core Insights - The global large model market is experiencing significant differentiation and convergence, with major players like Google Gemini and OpenAI focusing on general models, while others like Anthropic and Mira's Thinking Machines Lab are specializing in specific areas such as coding and multi-modal interactions [6][7][8] - The importance of both intelligence and product development is emphasized, with ChatGPT showcasing non-technical barriers to entry, while coding and model companies primarily face technical barriers [6][40] - The "freshness window" for AI products is critical, as the time to capture user interest is shrinking, making it essential for companies to deliver standout experiences quickly [45] Model Differentiation - Large models are diversifying into horizontal and vertical integrations, with examples like ChatGPT representing a horizontal approach and Gemini exemplifying vertical integration [6][29] - Anthropic has shifted its focus to coding and agentic capabilities, moving away from multi-modal and ToC strategies, which has led to significant revenue growth projections [8][11] Financial Performance - Anthropic's annual recurring revenue (ARR) is projected to grow from under $100 million in 2023 to $9.5 billion by the end of 2024, with estimates suggesting it could exceed $12 billion in 2025 [8][26] - OpenAI's ARR is reported at $12 billion, while Anthropic's is over $5 billion, indicating that these two companies dominate the AI product revenue landscape [30][32] Competitive Landscape - The top three AI labs—OpenAI, Gemini, and Anthropic—are closely matched in capabilities, making it difficult for new entrants to break into the top tier [26][29] - Companies like xAI and Meta face challenges in establishing themselves as leaders, with Musk's xAI struggling to define its niche and Meta's Superintelligence team lagging behind the top three [22][24] Product Development Trends - The trend is shifting towards companies needing to develop end-to-end agent capabilities rather than relying solely on API-based models, as seen with Anthropic's Claude Code [36][37] - Successful AI products are increasingly reliant on the core capabilities of their underlying models, with coding and search functionalities being the most promising areas for delivering L4 level experiences [49][50] Future Outlook - The integration of AI capabilities into existing platforms, such as Google’s advertising model and ChatGPT’s potential for monetization, suggests a future where AI products become more ubiquitous and integrated into daily use [55][60] - The competitive landscape will continue to evolve, with companies needing to adapt quickly to maintain relevance and capitalize on emerging opportunities in the AI sector [39][65]

5 AI Jobs You Can Land With No Coding Experience Required https://t.co/A1N6SURUDx https://t.co/O3yooTg9Js ...

[Music] What if you could automate your life and work, large parts of them, with AI and coding, and as a result, 10x your ambition and human connections. What if you could do that with no prior coding experience at all. And what if that was actually a secret to having a fulfilling life.or at least part of it, maybe just a small part. Over the past two years, I've immersed myself in the world of AI coding and automation. And during that process, I've discovered a few interesting aspects about them, as well a ...

Welcome back to Squawkbox Open AI turning up the heat for competitors in the very lucrative market for these folks. Uh McKenzie joins us with more. What's happening.What's what's how much money can people even spend for these people anymore. Quite a lot as we're seeing with all these new uh valuations coming in every other day now. Uh but Sam Alvin, he really turned open AI into a cultural force with chat GBT.But now he's chasing enterprise, which is where the real money is. GBT5 is at the center of that pu ...