Meta has recently introduced innovative AI tools aimed at enhancing video content creation and advertising. One of the standout features is the new AI video editing tool, which allows users to create high-quality edits effortlessly, catering to those without prior video editing experience. This advancement is part of a broader initiative by Meta to integrate AI into advertising, including capabilities for generating videos from images and creating multi-scene ads from product pictures. In a playful demonstration of this technology, a recent advertisement featured a humorous transformation into a chicken-kicking soccer star, showcasing the creative potential of Meta's AI tools. The company is also exploring the implications of AI-generated content, as seen in discussions surrounding AI-created commercials for brands like KFC, which raise questions about ownership and rights in the realm of AI-generated media. Overall, Meta's advancements in AI video capabilities reflect its commitment to revolutionizing how users and businesses create and engage with video content. https://about.fb.com/news/2025/06/edit-videos-with-meta-ai/ https://www.meta.ai/ https://www.facebook.com/metaai/ https://ai.meta.com/meta-ai/ #MetaAI #AIVideoEditing #VideoCreation #AIAdvertising #Meta #KFC #AIGeneratedContent #CreativeAI #VideoMarketing #ArtificialIntelligence #RunwayML #Synthesia #PikaLabs #Genmo

https://www.tiktok.com/@omarmogs/video/7521177754516147512

RA.Aid (pronounced "raid") helps you develop software autonomously. It is a standalone coding agent built on LangGraph's agent-based task execution framework. The tool provides an intelligent assistant that can help with research, planning, and implementation of multi-step development tasks. RA.Aid can optionally integrate with aider (https://aider.chat/) via the --use-aider flag to leverage its specialized code editing capabilities. The result is near-fully-autonomous software development. https://www.ra-aid.ai/ #RAAid #LangGraph #Aider #autonomouscoding #codingagent #aidev #airesearch #aiplanning #aiimplementation #softwaredevelopment #aidevelopment #autonomoussoftware #aiderchat

Here's how to install RA.Aid (ra-aid.ai) and start developing software autonomously. https://www.youtube.com/watch?v=Q6ITrLvewk0&ab_channel=AIChristianson

In this video we walk through a few real-world tasks completed by the open source, community built coding agent: RA.Aid! https://youtu.be/iqrNAddr4-k?si=d_ehY1U2T9PTJDBl https://github.com/ai-christianson/RA.Aid

For those of you heavy on Claude code you might want to consider this article from Anthropic after the release of Claude Code: Claude Code is a command line tool for agentic coding. This post covers tips and tricks that have proven effective for using Claude Code across various codebases, languages, and environments. We recently released Claude Code, a command line tool for agentic coding. Developed as a research project, Claude Code gives Anthropic engineers and researchers a more native way to integrate Claude into their coding workflows. Claude Code is intentionally low-level and unopinionated, providing close to raw model access without forcing specific workflows. This design philosophy creates a flexible, customizable, scriptable, and safe power tool. While powerful, this flexibility presents a learning curve for engineers new to agentic coding tools—at least until they develop their own best practices .... (continue on the link below) https://www.anthropic.com/engineering/claude-code-best-practices

Andrej Karpathy discusses the evolution of software, introducing Software 1.0, 2.0, and 3.0, highlighting the rise of large language models (LLMs) as a new programming paradigm. He emphasizes the importance of adapting to these changes, exploring the potential of LLMs in various applications, and the need for a collaborative approach between humans and AI. https://youtu.be/LCEmiRjPEtQ?si=KlGcFZYTI9HeL1ho #Software1.0 #Software2.0 #Software3.0 #AndrejKarpathy #LLMs #LargeLanguageModels #AIProgramming #ArtificialIntelligence #MachineLearning #NeuralNetworks #DeepLearning #AICoding #AICollaboration #ProgrammingParadigm #Codegen

Where can you learn "Prompt Engineering" Handson ? Vibetest.io is a platform focused on teaching prompt engineering. It offers hands-on coding challenges to help users learn how to communicate effectively with AI models such as Claude and GPT-4. The platform aims to enable users to transform code through improved prompting techniques. It emphasizes practical application and direct experience to master the art of prompt engineering. https://vibetest.io/ #vibetestio #promptengineering #ai #gpt4 #claude #prompting #ailearning #promptdesign #codingchallenges #aiplayground #learnai #promptcrafting #promptdeveloper #aieducation #durableknowledge

So, I've been diving into no-code AI agent builders lately, and MindStudio definitely caught my eye. It’s a platform that lets you design, build, and deploy AI agents using a visual interface. The big selling point is the no-code aspect, but it's extensible with code if you need more flexibility. Here’s the lowdown: They boast over 100 templates for different use cases, and claim you can build an agent in under an hour. Honestly, the interface looks clean, but the true test will be how well these agents perform in real-world scenarios. It seems promising for quickly prototyping ideas. https://www.mindstudio.ai/ #MindStudio #NoCodeAI #AIAgents #AICreator #AIAutomation #NoCodeDevelopment #DigitalTransformation #ProductivityTools #TaskAutomation #MindStudioAI #AIBuilder #AgentBuilding

How to build your first AI Agent in MINUTES on MindStudio https://youtu.be/JlDqei_-THY?si=6Da1-0-V3L6tQQHM