Best of Generative AI2025

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    Article
    Avatar of habrhabr·1y

    Top 11 Free AI Image Generators: Best AI Image Tools of 2025

    AI image generators can quickly create images from text prompts, saving time and effort. Eleven tools are reviewed: BotHub, Grok, Canva, Microsoft's Image Generator, DeepAI, FreePik, MagicStudio, Craiyon, Adobe Express, Deep Dream Generator, and StarryAI. Each has unique strengths, from customization options to prompt handling speed. Some offer free limited uses, while others require premium subscriptions for extended features.

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    Article
    Avatar of freecodecampfreeCodeCamp·1y

    Free GenAI 65-Hour Bootcamp

    The freeCodeCamp.org YouTube channel offers a free 65-hour bootcamp on Generative AI covering theoretical knowledge and practical projects. Suitable for all skill levels, it includes expert lectures and real-world applications to enhance learning. Participants gain experience in tools like Python and Jupyter, focusing on AI-powered applications for educational purposes, with modules on prompt engineering, backend API creation, and AI model fine-tuning.

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    Article
    Avatar of allthingsdistributedAll Things Distributed·34w

    Development gets better with Age

    Experience in software development provides invaluable perspective when evaluating new technologies like generative AI. Seasoned developers recognize recurring patterns across decades - from programming languages to platforms - and apply this wisdom to cut through hype. Rather than rushing to adopt AI due to FOMO, experienced builders focus on understanding customer problems first, then selecting appropriate solutions. The key lessons: maintain healthy skepticism, prioritize fundamentals like security and privacy, and remember that new technologies often follow familiar patterns from the past.

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    Article
    Avatar of itsfossIt's Foss·1y

    5 Open-source Local AI Tools for Image Generation I Found Interesting

    Exploring the world of open-source AI image generation tools, this post lists several powerful options you can run locally on consumer-grade hardware. Highlighted projects include Stable Diffusion, InvokeAI, OpenJourney, LocalAI, and Foocus, each offering unique features and customization capabilities for creating stunning visuals from text prompts.

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    Article
    Avatar of hnHacker News·1y

    Fake job seekers are flooding U.S. companies that are hiring for remote positions, tech CEOs say

    Fake job seekers are increasingly targeting U.S. companies hiring for remote positions, using AI tools like deepfake software to secure employment. The deception ranges from installing malware to stealing data or simply collecting wages. Companies across various industries, particularly in cybersecurity and cryptocurrency, have experienced a surge in such fraudulent applications. Efforts to tackle this issue include adoption of advanced identity-verification technologies.

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    Article
    Avatar of javarevisitedJavarevisited·44w

    Top 5 Books to Learn Prompt Engineering in 2025

    A curated list of five essential books for learning prompt engineering in 2025, covering topics from foundational principles to advanced applications. The selection includes practical guides for developers building LLM applications, comprehensive resources on AI engineering infrastructure, specialized books for educational applications, and career-focused materials. Each book targets different audiences from beginners to experienced practitioners, with emphasis on real-world implementation, ethical considerations, and industry best practices.

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    Video
    Avatar of fireshipFireship·34w

    OpenAI’s new slop machine is open for business…

    OpenAI launched Sora 2, a video generation model that creates realistic videos with sound from text prompts. The platform functions as both a creation tool and social network with explore feeds, profiles, and invite-only access. The release follows Meta's similar Vibes feature, signaling a shift toward AI-generated content platforms. Sora 2 demonstrates significant improvements in physical accuracy and realism compared to previous video generation models, though it raises questions about the direction of AI development toward content creation rather than other applications.

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    Article
    Avatar of bigdataboutiqueBigData Boutique blog·1y

    Building RAG Apps Without the Bloat: Meet Shraga

    Discover Shraga, an open-source framework designed by BigData Boutique to simplify and scale GenAI applications without the overhead of popular RAG frameworks. Shraga offers minimal boilerplate, supports multiple LLM providers, and provides reusable utilities for EDA, data cleaning, and embedding. It features modular flows for easy debugging and a FastAPI layer for quick deployments. Essential components like DocHandler and BaseEmbedder ensure efficient data ingestion and embedding, while the Shraga-UI provides a ready-to-use chat interface. This setup enables fast prototyping and production-ready GenAI systems.

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    Article
    Avatar of medium_jsMedium·1y

    0$ to 70.000$ Freelance Journey

    The journey from aspiring basketball player to a successful freelancer that earned $70,000 by completing software development projects globally began during the pandemic in May 2020. After starting with YouTube tutorials and courses on platforms like Coursera, the author eventually found success on Upwork. Key takeaways include the importance of patience, selecting a niche, professional communication, and constant experimentation and learning.

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    Article
    Avatar of javarevisitedJavarevisited·1y

    Top 5 Courses to Learn LangChain and Build AI-Powered Apps in 2025

    LangChain is a popular framework for connecting large language models (LLMs) like OpenAI’s GPT-4 to applications, enabling the creation of intelligent AI-powered apps such as chatbots and AI agents. The post lists the top 5 Udemy courses for learning LangChain in 2025, ranging from beginner-level introductions to advanced enterprise-level integrations with tools like Pinecone, LlamaIndex, and vector databases.

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    Article
    Avatar of newstackThe New Stack·45w

    No Code Is Dead

    Industry experts debate whether AI-powered "vibe coding" is killing traditional no-code platforms. While some argue that generative AI eliminates the need for drag-and-drop development tools, others believe AI will enhance visual development rather than replace it. Key concerns include technical debt from AI-generated code, the "orphan code" problem where non-technical users can't maintain what they create, and the need for enterprise governance. Leading platforms are integrating AI capabilities while maintaining visual interfaces and built-in security controls, suggesting a hybrid future rather than complete replacement.

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    Article
    Avatar of 80lv80 LEVEL·30w

    AI-Generated "Game Concepts" Become the Laughingstock of the Internet

    An AI CEO's demonstration of AI-generated game concepts sparked widespread mockery across the gaming community. The demos featured severe technical issues including inconsistent perspectives, hallucinations, shapeshifting environments, and bizarre physics violations. Despite claims of being work-in-progress, the showcases united gamers of all backgrounds in criticism, highlighting ongoing resistance to AI-generated gaming content following similar controversies with ARK, Minecraft clones, and other projects.

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    Article
    Avatar of christianheilmannChristian Heilmann·30w

    AI is Dunning-Kruger as a service

    Generative AI tools encourage overconfidence without genuine skill development, mirroring the Dunning-Kruger effect where people overestimate their abilities due to lack of knowledge. The technology industry's emphasis on speed and growth metrics has created a culture that values appearing competent over actual expertise. AI chatbots deliver confident but often incorrect answers, while generative AI promises to make anyone an expert without learning the underlying craft. This trend devalues human creativity, effort, and the messy but rewarding process of genuine skill development.

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    Article
    Avatar of simonwillisonSimon Willison·52w

    Highlights from the Claude 4 system prompt

    Anthropic has released the system prompts for their Claude 4 models, providing insights into prompt engineering and model personalities. The prompts offer guidance on effective use, limiting hallucinations, and maintaining model safety while they detail Claude's capabilities, including its preferences for conversation styles and ensuring copyright compliance.

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    Article
    Avatar of pragmaticengineerThe Pragmatic Engineer·1y

    Are LLMs making StackOverflow irrelevant?

    The volume of questions on StackOverflow has significantly declined since the release of ChatGPT in November 2022. This trend, which began before the pandemic, highlights how LLMs (large language models) provide quicker and more effective solutions for developers. Criticism of StackOverflow's moderation policies has also contributed to the downturn. The decrease in questions may lead to outdated content and a vicious cycle of reduced search engine traffic. StackOverflow's situation underscores the disruptive impact of GenAI on stable businesses. The future of coding Q&A data for LLMs remains uncertain.

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    Article
    Avatar of hnHacker News·31w

    character-ai/Ovi

    Ovi is an open-source audio-video generation model that simultaneously creates synchronized 5-second videos and audio from text or text+image inputs. The 11B parameter model supports flexible resolutions (720×720 to 960×960), multiple aspect ratios, and includes a custom-trained 5B audio branch. It offers inference options for single or multi-GPU setups, includes memory optimization features like fp8 quantization and CPU offloading for 24GB GPUs, and provides integration with Gradio UI and ComfyUI. The model is based on research from Character AI and builds upon Wan2.2 for video and MMAudio for audio processing.

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    Article
    Avatar of freekFREEK.DEV·31w

    A cartoonist's review of AI Art

    Matthew Inman (The Oatmeal) shares his perspective on AI-generated art through an illustrated commentary. The piece explores the intersection of artificial intelligence and creative work from a cartoonist's viewpoint, offering insights into how AI art impacts traditional artists and the creative industry.

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    Article
    Avatar of javarevisitedJavarevisited·40w

    How to Crack AI/ML/GenAI Interviews in 2025?

    A comprehensive guide for preparing AI/ML/GenAI interviews in 2025, emphasizing three core areas: daily coding practice with data structures and algorithms, building production-ready AI projects that demonstrate end-to-end capabilities, and mastering ML system design concepts. The guide recommends a structured 2-3 month preparation routine combining technical skills with practical project experience, highlighting that modern interviews test engineering capabilities beyond theoretical knowledge.

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    Video
    Avatar of youtubeYouTube·34w

    Open source Nano-banana is here!

    Alibaba released Quen ImageEdit 259, an open-source image editor that rivals proprietary tools like Nano Banana. The tool excels at character consistency, pose control, text generation, and photo restoration while running offline. Comprehensive testing shows it outperforms competitors in many scenarios, particularly for detail preservation and complex editing tasks. The guide covers installation via ComfyUI, hardware requirements (7-40GB VRAM depending on model version), and demonstrates various use cases from product photography to deepfake generation.

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    Article
    Avatar of swirlaiSwirlAI·1y

    Simple way to explain Memory in AI Agents.

    SwirlAI is partnering with NVIDIA to give away an NVIDIA RTX 4080 SUPER GPU. To enter, register for the GTC 2025 conference, which is free and runs from March 17-21 both in San Jose, CA and virtually. Highlights include sessions on humanoid robots, generative AI for edge applications, and advancements in European robotics. The post also explains four types of memory in AI agents: episodic, semantic, procedural, and short-term (working) memory.

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    Article
    Avatar of lobstersLobsters·45w

    How I keep up with AI progress (and why you must too)

    A comprehensive guide to staying informed about AI developments through curated sources and trusted experts. The author provides a structured approach to consuming AI information, starting with foundational sources like Simon Willison's blog and Andrej Karpathy's content, then expanding to official announcements from AI labs, high-signal practitioners in AI engineering, and specialized communities. The guide emphasizes staying close to primary sources, following trustworthy individuals, and building a balanced information diet to avoid both AI hype and dismissal.

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    Article
    Avatar of thevergeThe Verge·37w

    The influencer in this AI Vodafone ad isn’t real

    Vodafone is experimenting with AI-generated presenters in their TikTok advertisements, creating artificial influencers that exhibit telltale signs of generative AI like unnatural hair movement and facial expressions. The company justifies this approach by stating that AI has become integral to everyday life, following a broader trend of fake AI influencers gaining popularity in digital marketing campaigns for major brands.

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    Article
    Avatar of figmaFigma·30w

    Introducing Figma Weave: the next generation of AI-native creation at Figma

    Figma acquired Weavy, rebranding it as Figma Weave, to integrate AI-powered image, video, animation, and VFX generation capabilities into its platform. Weavy combines multiple leading AI models (Seedance, Sora, Veo, Flux, Ideogram) with professional editing tools in a browser-based, node-based canvas. The platform enables creators to generate AI outputs and refine them with hands-on editing controls like lighting adjustments, masking, and color grading. The acquisition aims to enhance Figma's vision of combining human craft with AI generation, moving beyond simple prompts to create more refined, professional creative work.

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    Article
    Avatar of microservicesioMicroservices.io·1y

    Vibe coding: the good, the almost, and the @#$%**

    This post discusses experiences using AI coding agents like GitHub Copilot, Junie, and Cursor. The author evaluates their performance in various development tasks, from creating Gradle plugins to setting up NextJS projects and handling configuration issues. While AI tools can increase productivity, they can also generate errors and confusion. Developers must carefully review AI-generated code and manage prompts effectively. Overall, AI coding assistants are useful, but they are not replacements for human developers.

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    Article
    Avatar of collectionsCollections·1y

    GenAI Essentials – Comprehensive Course for Beginners

    GenAI Essentials is a comprehensive 23-hour course by Andrew Brown, available on freeCodeCamp.org's YouTube channel, designed to equip learners with the knowledge to build generative AI applications. It covers foundational concepts in machine learning and AI, including large language models, prompt engineering, model deployment, and advanced topics like Retrieval-Augmented Generation. The course emphasizes hands-on projects and practical skills for cloud-based AI applications.