This story was originally published on HackerNoon at: https://hackernoon.com/flux2-klein-trainer-edit-fine-tune-loras-on-a-lean-4b-base.
A simplified guide to fal-ai’s FLUX.2 klein LoRA trainer for editing.
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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.

Learn how flux-2-klein-9b-base-trainer/edit helps teams train editing-focused LoRAs on the efficient FLUX.2 klein base model for custom styles, objects, and workflows.

This story was originally published on HackerNoon at: https://hackernoon.com/why-the-$70-million-aicom-domain-could-become-the-front-door-to-agi.
ai.com launches autonomous AI agents for consumers, founded by Crypto.com CEO Kris Marszalek, with a Super Bowl LX ad premiere on February 8, 2026.
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This story was written by: @ishanpandey. Learn more about this writer by checking @ishanpandey's about page, and for more stories, please visit hackernoon.com.

ai.com launches autonomous AI agents for consumers, founded by Crypto.com CEO Kris Marszalek, with a Super Bowl LX ad premiere on February 8, 2026.

This story was originally published on HackerNoon at: https://hackernoon.com/my-2-cents-to-improve-opus-plans.
A Python CLI that adds an external Kimi K2.5 review step to Claude Code plans, with a hook to make it mandatory. Real bugs caught for a few cents per review.
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This story was written by: @thomashoussin. Learn more about this writer by checking @thomashoussin's about page, and for more stories, please visit hackernoon.com.

A cheap external reviewer for Claude Code plans. A Python CLI sends your plan to Kimi K2.5 for critique before implementation, and a Claude Code hook makes the review mandatory. A few cents per review, real bugs caught.

This story was originally published on HackerNoon at: https://hackernoon.com/the-weather-report-lie-ai-isnt-fate.
AI is told like a weather report; terms are consent, accountability, limits, auditability, and the right to shut it down.
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This story was written by: @husseinhallak. Learn more about this writer by checking @husseinhallak's about page, and for more stories, please visit hackernoon.com.

The dominant story about AI is told like a weather report: it's coming, it's inevitable, it will accelerate, take over work, reshape society and government. It puts technology at the center of gravity and pushes humans out of the frame.

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.
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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.
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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.