WIRED Roundup: Meta’s AI Brain Drain
On this episode of Uncanny Valley, we look back at the week’s biggest stories—from the researchers leaving Meta’s new superintelligence lab, to the dark money group funding Democratic influencers. Source link
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GSOC 2025 Report: AprilTag, FAST, and ORB Detectors
This project adds three detection/feature modules to kornia-rs ecosystem: a full AprilTag Detector, FAST Corner Detector, and an ORB Detector. The implementations are CPU-focused, modular, well-documented, and include examples, tests, and benchmarks. Goals Implement AprilTag detection and decoding pipeline (configurable, mult-family) Implement newer complete FAST corner detection Implement ORB Detector Provide examples, tests, and benchmarks;…
The only Web3 analytics features that actually matter in 2025
Every month I see new dashboards, SDKs, and APIs promising to be the “future of Web3 analytics”. Most of them end up as pretty charts nobody checks. Teams drown in metrics, but miss the one alert that could have saved them from a disaster. Here’s the truth: in 2025, only three analytics features really matter….
Is the LLMs.txt a waste of TIME?
The way Large Language Models (LLMs) interact with websites is still pretty fluid. There’s a new standard being talked about, llms.txt, which is supposed to tell LLMs how to understand your site. Think of it like robots.txt, but specifically for LLMs. While robots.txt guides web crawlers on what to index, llms.txt aims to directly inform…
Automating Qonto Invoices with Make: A Step-by-Step Workflow
The ProblemQonto is one of the most popular fintech solutions for startups and SMEs in Europe. It simplifies banking, but invoice management still involves repetitive manual work: downloading PDFs, renaming files, storing them in the right folder, and forwarding them to the accounting team. For developers and operations teams, this is the kind of task…
Scaling Prompt Engineering QA with AI Builder
Introduction: In the world of generative AI, instructions are everything. When building agents in MCS Copilot Studio, the quality of the instruction—often referred to as the prompt—directly determines the relevance, clarity, and usefulness of the AI’s response. Whether you’re guiding a Copilot to summarize documents, extract insights, or simulate conversations, the instruction acts as the…
Challenges to adapt AI-based Video Codecs
Video data now dominates internet traffic, accounting for over 80% of total bandwidth consumption, with growth driven by streaming platforms (YouTube, Netflix, Prime Video etc.), social media (Facebook, Instagram etc.), video conferencing (Zoom, Teams, RingCentral etc.), and video surveillance systems. As demand rises, so does the need for more efficient video compression techniques to reduce…
AI SEO Content Brief Agent powered by BrightData & n8n
This is a submission for the AI Agents Challenge powered by n8n and Bright Data What I Built In the new era of generative search, why not just use a model with built-in Google Search grounding to create an article? This was the first question I asked myself. The answer reveals a fundamental limitation: a…
You Can Now Save Prompts On Cubent
If you’ve ever worked with AI, you already know one truth: prompts matter. The right prompt can feel like a superpower — unlocking sharper answers, faster workflows, and more creative outcomes. But here’s the problem: finding that perfect prompt often takes trial, error, and plenty of tweaking. And once you finally get it right, it’s…
Cracking the Opus: Red Teaming Anthropic’s Giant with Promptfoo
Claude Opus 4.1: Practical Power, Real Risks In a year full of flashy AI launches and vaporware promises, Claude Opus 4.1 is the opposite: quietly shipped by Anthropic on August 5, 2025, and actually better in ways that matter. It’s not trying to reinvent the wheel or claim AGI—it’s a solid, stability-focused release that improves…