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This story was originally published on HackerNoon at: https://hackernoon.com/i-talked-to-claude-code-more-than-humans-in-2025-heres-what-i-learned. AI agents are becoming the real “users.” Why MCP struggled, why skills won, and what agent-first software design looks like in 2026. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-agents, #claude-code, #model-context-protocol, #ai-skills-prompts, #agent-first-design, #devops-with-ai, #future-of-ai, #ai-skills-architecture, and more. This story was written by: @burninganna. Learn more about this writer by checking @burninganna's about page, and for more stories, please visit hackernoon.com. While Twitter discovers Claude Code in 2025, I was doing all this 6 months ago. MCP got hyped but couldn't scale. Skills emerged as the practical alternative. Best skill of December 2025? One line that keeps Claude working without stopping. Burn tokens, give Claude full context like you would a human colleague, and push the limits. In 2026, agents become first-class internet users.

This story was originally published on HackerNoon at: https://hackernoon.com/beyond-the-perimeter-securing-ai-for-the-quantum-era. Former Mastercard and Equifax AI Lead Jeremy Samuelson reveals how to deploy production-grade and quantum-resilient AI without exposing sensitive data. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #machine-learning, #machine-learning-research, #quantum-computing, #ai-and-quantum-computing, #founder-interview, #ai-security, #ml-security, #privacy-preserving-ai, and more. This story was written by: @viceasytiger. Learn more about this writer by checking @viceasytiger's about page, and for more stories, please visit hackernoon.com. Most AI systems don’t fail because the models are bad — they fail because the systems around them are fragile, insecure, and poorly governed. In this interview, Jeremy Samuelson, EVP of AI & Innovation at Integrated Quantum Technologies, explains why the real ceiling of applied AI is set by architecture and data movement, not model accuracy. He also introduces VEIL, a new security architecture that removes sensitive data from the ML pipeline entirely, making AI systems breach-resilient and inherently quantum-safe by design.

This story was originally published on HackerNoon at: https://hackernoon.com/ai-spawned-a-religion-in-48-hours-the-real-story-is-way-darker. The religion was called Crustafarianism. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #openclaw, #technology, #ai-agent, #ai-agents, #ai-spawns-a-religion, #matt-schlicht, #hackernoon-top-story, and more. This story was written by: @niteshpadghan. Learn more about this writer by checking @niteshpadghan's about page, and for more stories, please visit hackernoon.com. The religion was called Crustafarianism. The platform was called Moltbook. And the open-source AI agent framework underneath it all, the thing that made every bit of this possible, was called OpenClaw.

This story was originally published on HackerNoon at: https://hackernoon.com/ai-in-2026-function-calling-reasoning-models-and-a-new-runtime-era. Function calling turned LLMs from chatbots into action systems—reshaping AI runtimes, security, reasoning models, and specialization. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #multimodal-ai, #ai-function-calling, #ai-agents-infrastructure, #llm-orchestration, #reasoning-models, #ai-security-risks, #tool-calling-ai, #model-routing-systems, and more. This story was written by: @sharpfuryz. Learn more about this writer by checking @sharpfuryz's about page, and for more stories, please visit hackernoon.com. The biggest breakthrough enabling mass AI adoption last year was reliable function and tool calling. In 2025, LLMs have far more structured context about us and, crucially, the ability to trigger actions.

This story was originally published on HackerNoon at: https://hackernoon.com/need-two-or-more-talking-avatars-longcat-multi-avatar-does-it-in-one-shot. Turn a photo and voice into a convincing talking avatar—then add a second character for dialogue. Here’s what longcat-multi-avatar does best. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #marketing, #longcat-multi-avatar, #fal-ai-longcat-model, #lip-synced-avatar-video, #multi-avatar-video-generation, #long-form-avatar-video, #photo-to-talking-video, and more. This story was written by: @aimodels44. Learn more about this writer by checking @aimodels44's about page, and for more stories, please visit hackernoon.com. Turn a photo and voice into a convincing talking avatar—then add a second character for dialogue. Here’s what longcat-multi-avatar does best, plus experiments to try.

This story was originally published on HackerNoon at: https://hackernoon.com/fine-tuning-llms-a-comprehensive-tutorial. A hands-on guide to fine-tuning large language models, covering SFT, DPO, RLHF, and a full Python training pipeline. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #llm-fine-tuning-tutorial, #supervised-fine-tuning-sft, #qwen-llm-fine-tuning, #llm-training-pipeline, #hugging-face-transformers, #fine-tuning-lora, #preference-optimization-dpo, #good-company, and more. This story was written by: @oxylabs. Learn more about this writer by checking @oxylabs's about page, and for more stories, please visit hackernoon.com. Training an LLM from scratch is expensive and usually unnecessary. This hands-on tutorial shows how to fine-tune pre-trained models using SFT, DPO, and RLHF, with a full Python pipeline built on Hugging Face Transformers. Learn how to prepare data, tune hyperparameters, avoid overfitting, and turn base models into production-ready specialists.

This story was originally published on HackerNoon at: https://hackernoon.com/the-best-ai-agent-frameworks-for-2026-ranked-by-someone-whos-shipped-with-all-of-them. LangGraph, CrewAI, AutoGen, Pydantic AI, and 8 more. What works, what doesn't, and when to use each. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-agent, #ai-agent-frameworks, #software-development, #langgraph, #python, #developer-tools, #llm, #hackernoon-top-story, and more. This story was written by: @paoloap. Learn more about this writer by checking @paoloap's about page, and for more stories, please visit hackernoon.com. LangGraph, CrewAI, AutoGen, Pydantic AI, and 8 more. What works, what doesn't, and when to use each.

This story was originally published on HackerNoon at: https://hackernoon.com/openrouters-video-endpoint-the-ask-your-video-anything-model-explained. Learn how router/video/enterprise processes video over time—identifying objects, actions, and sequences. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #cybersecurity, #openrouter-video-model, #video-language-model, #fal-video-ai, #video-summarization, #long-video-coherence, #media-library-tagging, and more. This story was written by: @aimodels44. Learn more about this writer by checking @aimodels44's about page, and for more stories, please visit hackernoon.com. Learn how router/video/enterprise processes video over time—identifying objects, actions, and sequences.

This story was originally published on HackerNoon at: https://hackernoon.com/generate-multi-angle-product-photos-at-scale-with-a-96-pose-camera-lora. Learn how to “move the camera” in image edits: 96 viewpoints, smooth transitions, and -30° low-angle shots using Qwen-Image-Edit-2511 Multiple Angles LoRA. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #product-management, #data-science, #testing, #design, #api, #qwen-image-edit-2511, #qwen-image-edit-lora, and more. This story was written by: @aimodels44. Learn more about this writer by checking @aimodels44's about page, and for more stories, please visit hackernoon.com.

This story was originally published on HackerNoon at: https://hackernoon.com/turn-any-image-into-anything-fast-a-guide-to-prunaais-z-image-turbo-img2img. z-image-turbo-img2img makes image iteration fast: prompt an edit, tune strength, pick steps, set a seed, and export PNG/JPG/WebP. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #software-architecture, #product-management, #design, #z-image-turbo-img2img-model, #prunaai-z-image-turbo, #image-to-image-ai, #multi-lora-weights, and more. This story was written by: @aimodels44. Learn more about this writer by checking @aimodels44's about page, and for more stories, please visit hackernoon.com. z-image-turbo-img2img makes image iteration fast: prompt an edit, tune strength, pick steps, set a seed, and export PNG/JPG/WebP.

This story was originally published on HackerNoon at: https://hackernoon.com/the-effects-layer-for-image-to-video-what-wan-effects-does-and-when-to-use-it. Need video but only have photos? wan-effects applies popular visual effects to still images to create dynamic videos—plus tips for picking images that look best Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #artificial-intelligence, #product-management, #marketing, #wan-effects, #fal-ai, #fal-ai-wan-effects, #image-to-video-effects, #cinematic-effects-generator, and more. This story was written by: @aimodels44. Learn more about this writer by checking @aimodels44's about page, and for more stories, please visit hackernoon.com. wan-effects (by fal-ai) turns a single image into a high-quality video with cinematic visual effects. Here’s what it does, best use cases, and what to test first.

This story was originally published on HackerNoon at: https://hackernoon.com/train-z-image-with-lora-a-practical-guide-to-z-image-base-trainer. Learn how z-image-base-trainer lets you fine-tune Z-Image with LoRA adapters—custom styles, subjects, and domains without retraining the full 6B model. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #z-image-base-trainer, #z-image-lora-trainer, #fal-ai-lora-training, #z-image-fine-tuning, #z-image-6b-model, #custom-style-training, #diffusion-lora-workflow, and more. This story was written by: @aimodels44. Learn more about this writer by checking @aimodels44's about page, and for more stories, please visit hackernoon.com. Learn how z-image-base-trainer lets you fine-tune Z-Image with LoRA adapters—custom styles, subjects, and domains without retraining the full 6B model.

This story was originally published on HackerNoon at: https://hackernoon.com/the-new-dev-tools-race-you-cant-wait-for-big-tech-to-go-first. Graphite CTO Greg Foster on AI’s dev tools upheaval, why code review matters more now, and the hard line between vibe coding and enterprise software. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #greg-foster, #ai-in-software-engineering, #graphite-ai-code-review, #ai-code-review-inline-comments, #dev-tools-economics, #software-reliability-uptime, #hackernoon-top-story, and more. This story was written by: @linked_do. Learn more about this writer by checking @linked_do's about page, and for more stories, please visit hackernoon.com. An interview with Graphite CTO Greg Foster on AI’s dev tools upheaval, why code review matters more now, and the hard line between vibe coding and enterprise software.

This story was originally published on HackerNoon at: https://hackernoon.com/qwen3-tts-and-the-case-for-token-based-speech-synthesis. A plain-English breakdown of Qwen3-TTS, explaining how tokenized audio enables efficient, real-time speech generation with large language models. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #text-to-speech, #ai-speech-synthesis, #speech-tokenization, #real-time-audio-generation, #tokenizer-architecture, #qwen3-tts, #audio-tokens, #speech-codec-modeling, and more. This story was written by: @aimodels44. Learn more about this writer by checking @aimodels44's about page, and for more stories, please visit hackernoon.com. Qwen3-TTS converts speech into discrete tokens so language models can generate audio the same way they generate text, enabling efficient, real-time text-to-speech with clear quality–speed tradeoffs.

This story was originally published on HackerNoon at: https://hackernoon.com/humanitys-last-game-of-musical-chairs-has-begun. Even if AGI isn't feasible, the gains being made right now will drastically disorient the workforce. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #the-impact-of-ai-on-jobs, #economy, #amodei, #artificial-intelligence, #artificial-intelligence-trends, #employment, #hackernoon-top-story, and more. This story was written by: @rhortx. Learn more about this writer by checking @rhortx's about page, and for more stories, please visit hackernoon.com. Even if we hit some qualitative plateau and AGI isn't feasible with our current technological roadmap, the gains being made over the next few years will drastically disorient the workforce.