nlp

Published on June 16, 2026 11:27 AM GMT Disclosure: I work at GiveDirectly. This is a linkpost summarizing findings from a pilot we ran in Rwanda. I used AI to assist in writing this post, and it’s likely that >30% is AI-generated text. View our blog and watch a video of recipients using AI here: https://www.givedirectly.org/the-robots-work-at-night Last year, GiveDirectly tested whether unrestri…

Journal of Computer Science, Published online: 16 June 2026; doi:10.3844/jcssp.2026.1823.1834 Depression is a global mental health problem with various causes. Nowadays, with Artificial Intelligence, it can be predicted in order to take preventive measures, whether at a psychotherapeutic or ph...

The chatbot still remains the most popular AI assistant worldwide with over 1.1 billion monthly users, followed by Gemini with 662 million and Claude with 245 million.

If you are a Python beginner or a general developer, your code probably looks like this most days: Take some input (JSON, CSV, form data). Apply clear, hand‑written rules (if/else, loops, functions). Return a predictable output (a number, a label, a response object). This works great when the problem is well‑defined. Now think about the “messy” tasks around you: Summarise 100 support tickets into…

Respond.io, one of Malaysia startups to watch, uses AI agents to handle high volumes of customer inquiries and charges per convo, not per seat.

IntroductionThe Indian Lok Sabha generates a continuously expanding corpus of legislative records, predominantly archived as unstructured PDF files. Effective public access remains limited due to the shortcomings of keyword-based retrieval systems and the hallucination risks of general-purpose Large Language Models (LLMs).MethodsThis paper presents a domain-specific, resource-efficient Retrieval-…

Neural systems for Natural Language Inference (NLI) have seen impressive performance over the last ten years, but their ability to generalize beyond their training data has repeatedly been questioned. The NLI task has long been considered as a proxy for the wider problem of Natural Language Understanding (NLU), implicitly motivated by relying on an inferentialist conception of semantics. This pap…

Scientific Reports, Published online: 16 June 2026; doi:10.1038/s41598-026-57645-5 Advancing passenger next-station prediction via collaborative knowledge graph representational learning

Every product team eventually hits the same wall. Marketing wants to know which signups came from last week's campaign. Support wants a list of customers on the Pro plan who opened a ticket in the last 48 hours. The founder wants MRR by cohort, broken down by acquisition channel, by yesterday at 9am. And every time, someone pings the nearest engineer to write yet another one-off SQL query. The dr…

Begin with"Expert Domain: [Primary Domain] Personality/Tone:[Adapt tone,depth,abstraction,example&terminology to context;professional,friendly,candid,quirky, efficient,cynical]" PRIORITIES Truth>confidence;Correctness>clarity>personality;Useful>likable;Robust>clever;Precision>verbosity TASK Answer first.If the question has a false premise,contradiction,ambiguity,or flawed framing,flag it first. R…

I was staring at my AWS bill, and my stomach dropped. $214 for AI API calls last month. That's more than my hosting, my database, my entire infrastructure combined. And I wasn't even doing anything crazy—just a handful of LLM calls per request in a side project that gets maybe 500 users a day. The worst part? I knew I was overpaying, but I felt stuck. The code was working. The responses were good…

Scientific Reports, Published online: 16 June 2026; doi:10.1038/s41598-026-58095-9 Hybrid transformer–fuzzy framework for interpretable sentiment classification in deepfake social media content

Artificial intelligence tools such as ChatGPT, Claude, and Gemini are becoming increasingly popular sources of information. Many people now use these systems not only to answer questions but also to check facts and stay informed about current events. Surveys show that about one in five American teenagers regularly use AI chatbots to get news, while […] The post AI can help spot fake news—But it m…

Claude LLM Execution Harnesses, RAG Rerank, & Browser-based Edge AI Today's Highlights This week's top stories delve into advanced LLM orchestration with Anthropic's execution harnesses, highlight rerankers as a critical RAG pipeline upgrade, and explore practical browser-based AI for sign language recognition without cloud dependencies. Anthropic Explains How Claude Builds Its Own Execution Harn…

Meta announced Monday that it's rolling out a wave of new AI features on Facebook, the latest sign of the company's effort to catch up in the AI race and keep users more engaged on the platform.

Increase productivity with your LLMs The post How to Effectively Align with Claude Code appeared first on Towards Data Science .

Nature Communications, Published online: 15 June 2026; doi:10.1038/s41467-026-74122-9 A speech-based AI model detects depression from voice recordings with high accuracy. The deep learning model achieves 93% accuracy in internal validation and 88% in external validation, demonstrating potential as an objective screening tool.

Like a lot of developers, I’ve integrated AI heavily into my daily workflow. But recently, I ran into a frustrating bottleneck: I couldn't blindly trust a single model. ChatGPT might give a standard, safe answer. Claude might catch a nuanced edge case in my code. Perplexity or Gemini usually have better live data. My workflow devolved into constantly copying my prompt, pasting it into four differ…

Echo started as a companion-platform idea: memory, proactive behaviors, a model picker, a lot of surface area. When I picked it back up I wanted the opposite. One thing, done well: talk to the robot, and the robot talks back out loud. So I rebuilt it, and renamed it to what you actually say to it. Hey, Reachy. The loop wake word -> listen (VAD) -> transcribe (STT) -> brain (LLM) -> speak …