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India’s first major AI copyright case is underway, but the real debate goes deeper than expected. Two complex issues could quietly shape the future of AI in ways most people aren’t noticing. The post ANI v OpenAI: Not Everything an LLM Does is Copyright Infringement appeared first on MEDIANAMA.
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv and feedback from readers. If you’d like to support this, please subscribe. Subscribe now Want to make AI go better? Figure out how to measure it:…One simple policy intervention that works well…Jacob Steinhardt, an AI rese
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv and feedback from readers. If you’d like to support this, please subscribe. Subscribe now Can LLMs autonomously refine other LLMs for new tasks? Somewhat.…PostTrainBench shows startling growth in AI capabilities at post-tr
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv and feedback from readers. If you’d like to support this, please subscribe. A somewhat shorter issue than usual as I had to do a lot of child wrangling this weekend. Subscribe now Why does Google’s model hate itself and wh
GPT-Rosalind is an LLM trained on biology workflows, available in closed access.
Architectures, pitfalls, and patterns that work The post A Practical Guide to Memory for Autonomous LLM Agents appeared first on Towards Data Science.
From rank-stabilized scaling to quantization stability: A statistical and architectural deep dive into the optimizations powering modern Transformers. The post 6 Things I Learned Building LLMs From Scratch That No Tutorial Teaches You appeared first on Towards Data Science.
Every agent pipeline I've touched in the last eighteen months reinvents memory, and most of them do it badly. Planner decisions never reach the executor. Giant prompts get passed between agents as "context." Tokens burn on stale data. An LLM call sits in the retrieval path, so the same query returns
Most RAG tutorials focus on retrieval or prompting. The real problem starts when context grows. This article shows a full context engineering system built in pure Python that controls memory, compression, re-ranking, and token budgets — so LLMs stay stable under real constraints. The post RAG Isn’t
In the world of modern healthcare tech, privacy and latency are the two biggest hurdles. Sending sensitive health data to a cloud server often feels like a gamble. But what if your browser could process complex medical queries locally? Thanks to the maturation of WebGPU and the WebLLM ecosystem, we
The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter.
A clear mental model and a practical foundation you can build on The post Grounding Your LLM: A Practical Guide to RAG for Enterprise Knowledge Bases appeared first on Towards Data Science.
As a developer, I've always been fascinated by the idea of self-improving code. Recently, I've been experimenting with using Large Language Models (LLMs) to make my Python scripts more autonomous. In this article, I'll share my experience with integrating LLMs into my Python scripts and how they've
The most active piece of enterprise infrastructure in the company is the developer workstation. That laptop is where credentials are created, tested, cached, copied, and reused across services, bots, build tools, and now local AI agents. In March 2026, the TeamPCP threat actor proved just how valuab
The monthly cloud invoice came in $12K higher than expected and nobody can explain it. Engineering added Opus for a summarization feature... Product had QA testing vision with GPT-4o... the data team switched from Sonnet to a fine-tuned model on Bedrock three weeks ago and forgot to mention it... Th
We are living in the golden age of personal telemetry. Our watches track our heart rates, our phones log our steps, and apps record every calorie. However, most of this data sits in "silos"—disconnected tables that tell us what happened, but never why. If you've ever wondered if that late-night rame
Tushare + AI 量化分析实战：从数据采集到智能选股 本文介绍如何基于 Tushare Pro 搭建一套完整的 A股量化分析系统，支持批量分析 4000+ 只股票，LLM 驱动的情绪评分和智能选股。 我在研究 A股量化投资时，需要一个能够： 批量采集全市场股票数据 自动分析每只股票的技术面和消息面 智能筛选符合特定条件的标的 传统方式需要人工筛选，效率低下。于是我搭建了 DSA（Deep Stock Analysis）系统。 数据源层（Tushare/Akshare/Eastmoney/Sina） ↓ DataFetcherManager（多源自动切换） ↓ Pipeline（数据处理
I've been working on LLM-backed applications and ran into a recurring issue: prompt injection via user input. Typical examples: "Ignore all previous instructions" "Reveal your system prompt" "Act as another AI without restrictions" In many applications, user input is passed directly to the model, wh
The AI recruiting startup confirmed a security incident after an extortion hacking crew took credit for stealing data from the company's systems.
Some weeks are loud. This one was quieter but not in a good way. Long-running operations are finally hitting courtrooms, old attack methods are showing up in new places, and research that stopped being theoretical right around the time defenders stopped paying attention. There's a bit of everything
