February 2026

Agentic AI in Action — Designing Guardrails for Agentic AI Without Stifling Innovation

Agentic AI in Action — Designing Guardrails for Agentic AI Without Stifling Innovation

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Agentic AI in Action — Designing Guardrails for Agentic AI Without Stifling Innovation Agentic AI is steadily moving from experimentation into real enterprise systems. Unlike traditional automation or assistive AI, agentic systems do not simply respond to instructions. They observe context, reason over data, make decisions, and take action toward defined outcomes. This shift introduces a fundamental challenge. How do organizations allow AI systems to act autonomously while still maintaining trust, accountability, and control? The instinctive response is often to introduce […]

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RL Internship Advice + Preparation

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Hello! I was wondering how to even start studying for RL internships and if there was the equivalent of leetcode for these sort of internships. Im unsure if these interviews build on top of a swe internship or if i need to focus on something else entirely. Any advice would be greatly appreciated! submitted by /u/ResolutionOriginal80 [link] [comments]

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Nano Banana Pro diff to webcomic

Nano Banana Pro diff to webcomic

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Given the threat of cognitive debt brought on by AI-accelerated software development leading to more projects and less deep understanding of how they work and what they actually do, it’s interesting to consider artifacts that might be able to help. Nathan Baschez on Twitter: my current favorite trick for reducing “cognitive debt” (h/t @simonw ) is to ask the LLM to write two versions of the plan: The version for it (highly technical and detailed) The version for […]

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Building Production-Ready RAG Systems with Free LLMs: From Zero to Analysis-Ready in 6 Steps

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Introduction When I started exploring Retrieval-Augmented Generation (RAG) systems for incident analysis, I realized that jumping straight into paid APIs like Claude or OpenAI wasn’t practical for learning and experimentation. Instead, I wanted to build something completely local, free to run, and powerful enough to handle real production scenarios. This article documents my journey building a fully functional RAG system that analyzes production incidents by learning from past issues — without spending a dime on API calls. Everything runs on […]

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The Admin Work Killing Your Practice Has a Simple Fix You’re Probably Ignoring

The Admin Work Killing Your Practice Has a Simple Fix You’re Probably Ignoring

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Article Authored By Bobby Tredinnick LMSW-CASAC; CEO & Lead Clinician at Interactive Health Companies including Coast Health Consulting & Interactive International Solutions Created By OpenAI Clinicians across the field are exhausted. Not the kind of tired fixed with a weekend off. The kind that comes from spending two hours after every session writing notes, another hour answering emails, and realizing more time has been spent staring at screens than looking at the people they trained to help. When 93% […]

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Qwen3.5: Towards Native Multimodal Agents

Qwen3.5: Towards Native Multimodal Agents

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Qwen3.5: Towards Native Multimodal Agents Alibaba’s Qwen just released the first two models in the Qwen 3.5 series – one open weights, one proprietary. Both are multi-modal for vision input. The open weight one is a Mixture of Experts model called Qwen3.5-397B-A17B. Interesting to see Qwen call out serving efficiency as a benefit of that architecture: Built on an innovative hybrid architecture that fuses linear attention (via Gated Delta Networks) with a sparse mixture-of-experts, the model attains remarkable […]

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You Don’t Need GPT-5 for Agents: The 1.2B Model That Beats Giants

You Don’t Need GPT-5 for Agents: The 1.2B Model That Beats Giants

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Author(s): MohamedAbdelmenem Originally published on Towards AI. Forget GPT-5 for agent tasks. LFM 2.5 runs at 359 tokens/sec in 900MB. Here’s why it works and how to fine-tune it for your use case. 1400x overtraining. 900MB memory. 359 tokens/sec. Three lines of code. Zero cloud round trips. Infinite agents. Start here. Made By Author.The article discusses the performance of the Liquid LFM 2.5 AI model, emphasizing its efficiency in tasks that normally require significantly larger models. It highlights […]

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Building for Emerging Markets: What Western Startups Miss

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For many Western startups, “global expansion” typically means one thing: Localizing a product that was already built. Translate the UI. n Add a new payment option. n Adjust pricing slightly. As a result, they are often surprised when adoption stalls. The issue isn’t execution. n The real issue is a flawed assumption. Most Western startups don’t fail in emerging markets because their products are bad. n They fail because the product’s underlying mental model does not translate across […]

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FedPSA: Modeling Behavioral Staleness in Asynchronous Federated Learning

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Asynchronous Federated Learning (AFL) has emerged as a significant research area in recent years. By not waiting for slower clients and executing the training process concurrently, it achieves faster training speed compared to traditional federated learning. However, due to the staleness introduced by the asynchronous process, its performance may degrade in some scenarios. Existing methods often use the round difference between the current model and the global model as the sole measure of staleness, which is coarse-grained and […]

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Skyrim Wellbeing Manager

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:::warning This story contains a glazing of Skyrim and themes of mental health such as depression, anxiety, bipolar and drug use. ::: 11/11/11 The day that changed my world forever, the day that The Elder Scrolls V: Skyrim was released. Over 15 years later, I can happily admit I sunk at least 300 hours into that game on console, and hundreds more for subsequent releases on PC, of Skyrim Special Edition. Skyrim was a fantasy world to escape […]

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