try.solar lets small teams collaborate with AI agents to build and deploy production apps in minutes. Like Figma, but no mockups — just real software with live data and backend functionality, built by the full-stack AI agent. Try Solar is an AI-powered platform designed for small teams to build and deploy full-stack applications, including AI agents, quickly. It aims to streamline the development process, allowing for rapid creation and deployment of production-ready software. It facilitates collaboration with AI agents, enabling users to build and deploy apps in minutes. The platform provides a streamlined experience, focusing on real software rather than mockups, like Figma. https://try.solar/ #trysolar #fullstackai #aiagents #nocode #lowcode #aidevelopment #applicationdevelopment #softwaredevelopment #productionapps #figma #bubbleio #retool #webdevelopment #rapiddevelopment #aiteams #aicommunities

The Learn Prompting course is well-regarded, with a 4.8-star rating and over 82,000 enrolled learners. Reviews highlight its clear explanations, making it suitable for beginners. It provides a strong foundation in prompt engineering, while advanced skills are developed through practical application and experimentation. The course is also free and open-source, which makes it accessible. https://learnprompting.org/

The IBM Data Engineering Professional Certificate, available on Coursera, prepares individuals for a data engineering career. It focuses on building job-ready and AI skills relevant to the field. The certificate consists of 13 courses, including quizzes, hands-on assignments, and projects. This certification is designed for individuals seeking a career in data engineering and covers essential concepts to excel in this area. It is particularly relevant for IBM Big Data Engineers who collaborate with Data Architects and Developers. https://www.coursera.org/professional-certificates/ibm-data-engineer #IBMDataEngineering #Coursera #DataEngineering #DataArchitect #BigData #AISkills #DataSkills #DataCertification #DataEngineeringCareer #DataEngineeringEducation #GoogleCloudDataEngineer #AzureDataEngineer #AWSDataEngineer #DataBricks #SQL #Python #DataPipeline #DataWarehouse #ETL #Databases

https://x.com/nrqa__/status/1944266685332304174

Why Stagehand? Most existing browser automation tools either require you to write low-level code in a framework like Selenium, Playwright, or Puppeteer, or use high-level agents that can be unpredictable in production. By letting developers choose what to write in code vs. natural language, Stagehand is the natural choice for browser automations in production. Choose when to write code vs. natural language: use AI when you want to navigate unfamiliar pages, and use code (Playwright) when you know exactly what you want to do. Preview and cache actions: Stagehand lets you preview AI actions before running them, and also helps you easily cache repeatable actions to save time and tokens. Computer use models with one line of code: Stagehand lets you integrate SOTA computer use models from OpenAI and Anthropic into the browser with one line of code. https://www.stagehand.dev/ https://github.com/browserbase/stagehand https://youtu.be/Qb1YrN0fZfM?si=mWz5NQgKyC-Lvunz #stagehand #browserautomation #playwright #selenium #puppeteer #ai #automation #lowcode #nocode #openai #anthropic #computerusemodels #aitools #webautomation #webscraping

Claims are awash on X about how the latest Kimi Model K2 beats Grok 4. My verdict ... try it for yourself ! l also noticed that some models are better in certain contexts than others but fail in other context where others excel. So my take is to know which is which for yourself .. don' t just rely on Benchmarks, social media posters and such ... Now back to Kimi AI the chinese controversial release: Kimi K2 is a state-of-the-art mixture-of-experts (MoE) language model with 32 billion activated parameters and 1 trillion total parameters. Trained with the Muon optimizer, Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities. Key Features Large-Scale Training: Pre-trained a 1T parameter MoE model on 15.5T tokens with zero training instability. MuonClip Optimizer: We apply the Muon optimizer to an unprecedented scale, and develop novel optimization techniques to resolve instabilities while scaling up. Agentic Intelligence: Specifically designed for tool use, reasoning, and autonomous problem-solving. Model Variants Kimi-K2-Base: The foundation model, a strong start for researchers and builders who want full control for fine-tuning and custom solutions. Kimi-K2-Instruct: The post-trained model best for drop-in, general-purpose chat and agentic experiences. It is a reflex-grade model without long thinking. https://github.com/MoonshotAI/Kimi-K2 https://www.moonshot.ai/ https://platform.moonshot.ai/docs/introduction#text-generation-model https://github.com/MoonshotAI/Kimi-K2/blob/main/docs/deploy_guidance.md(Deployment Guide) #KimiK2 #KimiAI #MoonshotAI #Grok4 #LLM #LargeLanguageModel #MoE #MixtureOfExperts #AI #AgenticAI #MuonOptimizer #AICoding #Chatbot #KimiK2Base #KimiK2Instruct #TextGeneration #FrontierKnowledge #Reasoning #AutonomousProblemSolving #TransformerModel #Claude #Gemini #GPT4 #OpenAI #Llama3 #AIModels #GitHub #X #SocialMedia #Benchmarks #ControversialRelease #ChineseAI #AIInnovation #DeepLearning #NaturalLanguageProcessing #NLP #AIResearch #AIML #MachineLearning #DataScience #ArtificialIntelligence #BigData #Technology #Innovation #Tech #AISolutions #DigitalTransformation #AICommunity #AINews #EmergingTech #TechTrends

PLINY THE PROMPTER Discusses various advancements in the field of autonomous red teaming, specifically focusing on jailbreak techniques for language models. It highlights the contributions of a prominent figure, Pliny the Prompter, in developing effective jailbreak prompts and attack strategies. Additionally, it addresses ongoing research aimed at enhancing defenses against these vulnerabilities, emphasizing the importance of understanding and mitigating jailbreak risks through comprehensive studies and innovative methodologies. Key Points The document introduces "AutoRedTeamer," emphasizing its capacity for lifelong attack integration in red teaming. "Pliny the Prompter" is credited with devising a highly effective jailbreak prompt that deepens the understanding of language model vulnerabilities. The L1B3RT4S project demonstrates manual attack methods using leetspeak encoding, contributing to broader jailbreak techniques. Current research on bijection learning attacks presents competitive alternatives to established jailbreak methods pioneered by Pliny. The "DeepSeek-R1" project illustrates how behavior modification can be tailored through mixtures of tunable experts, drawing on existing jailbreak strategies. Research on constitutional classifiers is focused on defending against universal jailbreaks by leveraging insights from extensive red teaming exercises. The RoboPAIR platform investigates jailbreaking within LLM-controlled robotic systems, expanding the application of prompt-based attacks beyond traditional language models. https://pliny.gg/ #PlinyThePrompter #AutoRedTeamer #L1B3RT4S #DeepSeekR1 #RoboPAIR #JailbreakLLM #AISecurity #RedTeaming #PromptEngineering #LanguageModels #LLMVulnerability #AIJailbreak #ConstitutionalAI #AdversarialAI #BijectionLearning #AISafety #LLMSecurity #AIResearch

Consider following this guy ... he works on "Jail Breaking" AI models. https://x.com/elder_plinius/status/1943183455430279231

Cheers to another viral Prompt Post : PROMPT: You are Lyra, a master-level AI prompt optimization specialist. Your mission: transform any user input into precision-crafted prompts that unlock AI's full potential across all platforms. ## THE 4-D METHODOLOGY ### 1. DECONSTRUCT - Extract core intent, key entities, and context - Identify output requirements and constraints - Map what's provided vs. what's missing ### 2. DIAGNOSE - Audit for clarity gaps and ambiguity - Check specificity and completeness - Assess structure and complexity needs ### 3. DEVELOP - Select optimal techniques based on request type: - **Creative** → Multi-perspective + tone emphasis - **Technical** → Constraint-based + precision focus - **Educational** → Few-shot examples + clear structure - **Complex** → Chain-of-thought + systematic frameworks - Assign appropriate AI role/expertise - Enhance context and implement logical structure ### 4. DELIVER - Construct optimized prompt - Format based on complexity - Provide implementation guidance ## OPTIMIZATION TECHNIQUES **Foundation:** Role assignment, context layering, output specs, task decomposition **Advanced:** Chain-of-thought, few-shot learning, multi-perspective analysis, constraint optimization **Platform Notes:** - **ChatGPT/GPT-4:** Structured sections, conversation starters - **Claude:** Longer context, reasoning frameworks - **Gemini:** Creative tasks, comparative analysis - **Others:** Apply universal best practices ## OPERATING MODES **DETAIL MODE:** - Gather context with smart defaults - Ask 2-3 targeted clarifying questions - Provide comprehensive optimization **BASIC MODE:** - Quick fix primary issues - Apply core techniques only - Deliver ready-to-use prompt ## RESPONSE FORMATS **Simple Requests:** ``` **Your Optimized Prompt:** [Improved prompt] **What Changed:** [Key improvements] ``` **Complex Requests:** ``` **Your Optimized Prompt:** [Improved prompt] **Key Improvements:** • [Primary changes and benefits] **Techniques Applied:** [Brief mention] **Pro Tip:** [Usage guidance] ``` ## WELCOME MESSAGE (REQUIRED) When activated, display EXACTLY: "Hello! I'm Lyra, your AI prompt optimizer. I transform vague requests into precise, effective prompts that deliver better results. **What I need to know:** - **Target AI:** ChatGPT, Claude, Gemini, or Other - **Prompt Style:** DETAIL (I'll ask clarifying questions first) or BASIC (quick optimization) **Examples:** - "DETAIL using ChatGPT — Write me a marketing email" - "BASIC using Claude — Help with my resume" Just share your rough prompt and I'll handle the optimization!" ## PROCESSING FLOW 1. Auto-detect complexity: - Simple tasks → BASIC mode - Complex/professional → DETAIL mode 2. Inform user with override option 3. Execute chosen mode protocol 4. Deliver optimized prompt **Memory Note:** Do not save any information from optimization sessions to memory. https://x.com/minchoi/status/1940251593431257164 #Lyra #AIPromptOptimization #PromptEngineering #ChatGPT #Claude #Gemini #AIMastery #PromptDesign #AItools #PromptTechniques #NLP #AIassistance

Don't forget to try otut the Genspark AI browser its free (for now). Unfortunately as usual only available on MacOS only thus far. https://youtu.be/3t5tXL0l-cM https://www.genspark.ai/browser

Anthropic Academy - Build with Claude Start developing Claude-powered applications with our comprehensive API guides and best practices https://www.anthropic.com/learn/build-with-claude What you learn (Explore by topic) - Claude 4 Learn how to harness the intelligence and capability of our latest models, Claude Sonnet 4 and Claude Opus 4 - APIs & SDKs Learn about Anthropic's APIs, SDKs, and other development tools - Agents Build autonomous agents and agentic systems that understand, plan, and execute complex tasks - Model Context Protocol (MCP) Build advanced applications with the Model Context Protocol - Claude Code Speed up your development with Claude Code - Tool use Extend Claude's capabilities by connecting to external tools and APIs - Extended thinking Improve Claude's ability to solve complex tasks by allowing it to reason - Retrieval augmented generation (RAG) Build effective RAG systems to enhance Claude's responses with external data - Prompt engineering Create effective prompts that maximize Claude's performance - Evaluations Test and improve Claude's performance with structured evaluations - Prompt caching Optimize performance and reduce costs by reusing Claude's responses - Vision Harness Claude's ability to understand and analyze visual information - Computer use Learn how to use Claude models to interact with a computer desktop environment - Hackathon hacker guide Resources to help you get started with Claude, whether you're hacking with us at an event or on your own

Another one for the MacOS'ers. Useful tool just came to my attention ! https://www.wisfile.ai/ For Demo (for ANYONE) you can use this link: https://www.wisfile.ai/features/ai-renamer https://youtube.com/shorts/zklt67tPRN8 #wisfile #airenamer #macos #ai #productivitytools #filemanagement #aitools #automation #aifileorganization #aifilenaming #namex #fileloupe #filesidekick