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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.