https://x.com/lovable_dev/status/1882102791960977785Lovable has collaborated with @builderio, the world’s most precise Figma-to-Code tool, to make this possible. This is the fastest way for designers to go from a design into a pixel-perfect full stack app – without writing any code. Designers no longer need a developer to build software. https://lovable.dev/blog/2025-01-22-figma-to-lovable-builder-io-native-integration

https://www.freecodecamp.org/news/learn-generative-ai-in-23-hours/ Artificial Intelligence is revolutionizing industries and workflows, and learning to work with AI in the cloud is an important skill for modern developers. Whether you're a beginner or looking to deepen your understanding of generative AI, this course is your all-in-one guide to mastering the development lifecycle of AI systems.

https://marketplace.agen.cy/home Source - marketplace.agen.cy compare this with our previous post here : https://aiagentsdirectory.com/landscape

https://cloudonair.withgoogle.com/events/startup-school-ai-q1-2025 Register to stay in the know. Startup School: Gen AI is our free, 4-week virtual training series that enables startups, gen AI natives, and technical teams to learn how to build powerful gen AI applications on Google Cloud. Join to learn how our gen AI capabilities and power infrastructure can empower your startup to build innovative applications, drive business growth, and gain a competitive edge. Who should attend: Decision Makers (Founders, Startup CxOs), Product Leaders and Practitioners (startup developers, data engineers).

https://cloud.withgoogle.com/next/25?utm_source=gamma&utm_medium=email&utm_campaign=FY25-Q2-global-EXP106-physicalevent-er-next25-mc&utm_content=gfd-jan-newsletter&utm_term=-

https://x.com/OpenAI/status/1882509286439637448?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1882509286439637448%7Ctwgr%5E07ab465815f6821aff0cafb7ab69954956edd499%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.theverge.com%2F2025%2F1%2F23%2F24350395%2Fopenai-chatgpt-operator-agent-control-computer Article on Verge: https://www.theverge.com/2025/1/23/24350395/openai-chatgpt-operator-agent-control-computer?utm_source=substack&utm_medium=email Useful Links: https://operator.chatgpt.com/ https://x.com/OpenAI https://x.com/OpenAI/status/1882509286439637448 https://openai.com/careers/research-engineer-research-scientist-computer-using-agent/

https://x.com/AndrewYNg/status/1882125891821822398 Our first short course with @AnthropicAI! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, @Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here: https://deeplearning.ai/short-courses/building-towards-computer-use-with-anthropic

https://x.com/dani_avila7/status/1882249723563643251 Introducing DeepSeek R1:1.5b Running Locally in Cursor! In less than 4 minutes, I set up the DeepSeek R1:1.5b model, download it, and run it locally to seamlessly work with code in Cursor The video is shown in real-time, with the model impressively running on an Intel Core i5 😱 using Ollama and the CodeGPT extension 👇