Nearly 1 in 5 Google Reviews May Now Be Written by AI.

by Aqeel Abbas — Star ratings used to be the internet’s lie detector. Now AI can write a convincing five-star review in seconds. The rules are catching up…

ILLUMINATION·58m ago

Second Look, Part 1: Teaching a damage detector when to ask a human

by Andrii Tkachuk — An open, three-part build of an inspection-grade computer vision pipeline on public data, and a measured log of building it with AI coding…

Medium·7h ago

Python + Qwen3-VL for PDF Validation: Why Text Extraction Alone Is Not Enough

by Kiran Kumar Reddy — The PDF that started this experiment passed every automated check we had.

Medium·11h ago

What OpenAI’s 719 Maths Papers Mean for Data Science

by Sean Moran — Matching messy text, choosing representative examples, and generating comparison data.Figure 1: Editorial illustration of an analyst pulling one page from a towering wave of mathematical manuscripts...

Towards AI·16h ago

Your AI Reads Text Files. Is Your Notion Workspace One?

by Max Holovanov — The first thing my AI reads is a text file

Medium·1d ago

Claude Code’s “Issue With the Selected Model” Error Across 5 Versions

by Nandan Priyadarshi — Five Claude Code versions, one local fake API: the error text never changed, but the model it named did.

Medium·1d ago

17 Days with Jev: I Put a Sub-Second “System One” AI on a Real Trading Account

by Abozar Alizadeh — Jev doesn’t write text. It reads a state, answers typed questions and hands back probabilities in a third of a second. Here’s how it works, how to build with it, and what happened when it traded real...

Towards AI·3h ago

My AI Oversight Detector Flagged Nothing. The Alternatives Flagged Too Much.

by Ilias Konstantinidis — What a two-million-case synthetic benchmark taught me about human-in-the-loop monitoring, false alarms and the limits of observable…

Level Up Coding·7h ago

Python Strings: Playing with Text, One Character at a Time!

by Sairam Reddy Palagani — Imagine you’re working with customer feedback, names, product descriptions, or survey responses. Before you can analyze any of that text…

Medium·11h ago

Jev AI: The New AI Model That Makes Decisions Instead of Generating Text

by Nitin Prodduturi — Why the next evolution of artificial intelligence might not be about generating more words, but making faster, more reliable decisions.

Medium·17h ago

NLP Text Tagging in Python: Complete Guide to POS Tagging & Named Entity Recognition (NER)

by Khayyamshah — Learn NLP text tagging with Python, including Part-of-Speech (POS) tagging, Named Entity Recognition (NER), algorithms, examples, and…

Medium·1d ago

How Deepgram optimized voice AI at scale with AWS Trainium

Deepgram worked with the AWS Forward Deployed Engineering team to port its Nova-3 speech-to-text model to AWS Trainium2 for offline batch inference. This post covers porting to the AWS Neuron stack,...

AWS ML Blog·6h ago

EmbeddingGemma 2 Expands Beyond Text to Support Code, Images, Video, and Audio

infoq.com·10h ago

5 tools I rely on to detect AI-generated text, photos, and videos

Android Police·12h ago

Build a gibberish name detector in 4 lines of code

by Michael C. J. kao — If you’ve ever looked at signup data, you’ve seen them: “asdfgh”, “qwerty”, “jkjkjk”. Gibberish names are everywhere, and they’re a pretty…

Medium·1d ago

What is Meta's "Muse Wonder"? Meta explains it as an AI model that carries over memory and continues tasks even when hitting a snag. Available to developers and Muse Code ...

"I heard Meta released a new AI model." "What can Muse Wonder do?" "Can we use it too?"So, I read the official announcement Meta released on October 12th in the original (English) text.Here is the ...

note·1d ago