... Commission's FAQ page on it was updated on 24 July 2026, after the Omnibus deal, and it says so plainly. There's exactly one carve-out: for AI systems placed on the market before 2 August 2026, the machine-readable marking obligation in Article 50(2) doesn't bite until 2 December 2026. Everything else in Article 50 has been live since August. So the sentence to hold onto is: the delay was for the systems that assess people ... ... they're dealing with an AI. The Commission's guidance sets four cumulative criteria - it's an AI system, it's built for genuine two-way exchange, the interaction is direct, and it's with natural persons. Background and machine

... actually listen to. Then sth clicked: I built  Repodify , an AI tool that listens to episodes & produces a shorter one (e.g. 1 episode from 10, 15, whatever. configurable) for me to listen,  ALL ON MY OWN MACHINE . In Repodify u paste a podcast link (or search by name, as it works very well rn), pick the episodes & it: downloads the audio transcribes it optionally figures out who spoke (& clusters the same host/guest across episodes) summarizes ... ... into one chronological narrative writes a spoken script aimed at a target length synthesizes a new episode u can stream or download The whole thing is meant to run on ur machine

... automated machine-readable files (JSON-LD & MCP) for site owners for AI compensation Like a lot of independent publishers, I ve spent years building content sites, only to watch AI crawlers harvest everything completely unchecked while the legal landscape for data licensing remains a total mess. I realized that the biggest hurdle for normal site owners isn't just wanting fair compensation; it's the technical friction . Major AI labs and applications look for machine

... turned away. Three. My public status page showed a degraded service for weeks. The service was fine. Worker identity was keyed on hostname, and inside a container the hostname is the container id, so every restart registered a new machine while the old rows stayed forever, ageing and unhealthy. The status page was correctly reporting on machines

... than any feature table. When Happycapy finishes a job, the result doesn't live in our chat box it lands  in your tools : written into your Notion, committed to your GitHub, saved into a folder on your own machine. That's what Connectors are for. Which means the lesson of this week is already handled. If a platform any platform, ours included has a bad month, your work is still sitting where it always was: in the accounts ... ... hardware you own. An agent should be replaceable. Your work should not be deletable. The water's warm. Take your time   happycapy.ai Conclusion:  Happycapy is a direct Manus alternative

... four cumulative criteria: it's an AI system, it's built for genuine two-way exchange rather than just collecting data, the interaction is direct rather than through a human, and it's with natural persons. Background and machine-to-machine

... invoices, installers nobody deleted, a file named "untitled" all piled in one folder. This chore lives outside every app, which is why Happycapy has a layer no other agent does: paste one command and your Mac, Windows, or Linux machine is connected. Happycapy can organize files, run scripts, and edit documents right where they sit. "Tidy up this folder group by type, and don't delete anything without asking." Check the last folder: the suspected duplicates weren't deleted they ... ... Microsoft Teams read chats and channels, post for you Jira read issues, file new ones, update status Add your inbox (Capy Mail) and your own computer (Mac, Windows, or Linux), and you get three layers: apps, email, and your machine

... built LocalAGI to make that stack usable as one desktop app. You can give a task to a team of agents for research, browser automation, image or video creation, while keeping models on your own hardware. If one machine is too weak, a trusted computer can provide compute through an end-to-end encrypted private network. The part I m most excited about is Hive Mind: it splits one model across multiple machines

... want you to be the ones who tell me. Here's what it actually is. I still remember Office Depot. Walking the software aisle, boxes on the shelf, flipping one over to check if it would run on my machine. You paid once. You brought it home. It was yours. It ran on your hardware, it didn't phone anyone, and nobody raised your price at renewal or locked your own files behind an expired card. We gave that ... ... somewhere and barely noticed. There's a monthly fee to take notes now. A monthly fee to edit a PDF. A monthly fee for software already sitting on your hard drive, doing math your machine

... currently tackling, and we d love to get your feedback on how you're navigating it. The Last-Mile Bottleneck: AI has no hands AI agents are brilliant at writing code, but they are "physically disabled" on your local machine. When an agent writes a full-stack app, it stops and tells you: "Please install PostgreSQL, configure Nginx, bind a domain, and set up SSL." Suddenly, the developer becomes the manual "laborer" for the AI. We realized that AI agents ... ... models. Most solutions are cloud-based, which developers hate because they don't want their keys or code passing through a third-party server. We are currently building ServBay AI Gateway a local-first gateway running entirely on your machine

... Better stability on Macs with less memory Large syncs and first-time imports used to be able to overwhelm machines with limited RAM emails were processed all at once, which on an 8 GB Mac could push the system into heavy swapping and slowdowns. Email processing is now paced to stay light on memory regardless of how many messages are queued, so your inbox keeps filling in without freezing the rest of your system. On-device AI tuned to your ... ... machine

... years, so I've watched what actually fills real developers' drives, file by file. Posting this because the standard advice storage is cheap, just buy more quietly skips the most useful 20 minutes you'll spend on your machine all year. Here's what a full disk is actually telling you. When the drive fills, the system hands you the most honest inventory it has all year: every cache, every node_modules, every Docker layer and DerivedData folder you forgot ... ... runtimes for OS versions you dropped two years ago Homebrew, pip, and npm caches Old .app builds parked in Downloads Each arrived a kilobyte at a time, below the threshold where a single write is noticeable. On a dev machine

... appear in Google's top 10 organic results for the same query . Roughly 92% of top Google results do not appear when AI answers the same prompt. The SEO playbook does not carry over to GEO. The two targets: machine and human We are rapidly moving from an era of "humans who browse" to "agents that transact" . Consumers will increasingly stop searching for products themselves and instead delegate the task to AI . When a consumer asks ... ... data, not necessarily brand sentiment. This forces a strategic pivot from traditional SEO to Generative Engine Optimization (GEO) . Success is now measured by brand citations and the share of traffic generated by LLMs. Brands must ensure their content is machine

... Compose alongside the rest of the stack OpenCut AI is a fully local AI video editor Whisper transcription, TTS, image gen, and LLM editing assistants, all running on your own hardware. No cloud, no subscriptions, no data leaving your machine. Open-source & self-hostable: https://github.com/Ekaanth/OpenC... We'd love your feedback what would you want to search your footage ...

... Many people are still using good 'ol Gmail. It's comparable to the 1900s, when washing machines were first mass-produced. Even though there were good washing Machines

... clips - Audio effects chain (EQ, compressor, reverb, de-esser, limiter) - LUFS loudness normalization for YouTube/Spotify/podcasts - Beat detection with snap-to-beat - Batch export with 8 platform presets 30+ languages including 22 Indian languages via Sarvam AI unmatched by any competitor. The whole stack is open source (MIT). Self-host on a $20/mo server or run it on your laptop. One `docker compose up -d` and you're editing. No accounts, no subscriptions, no data leaving your machine

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... have actually diverged in outcome in the ledger so far and if it's inferred, what's your cold-start before a single divergence has been observed? Comment from Alexander Bering(@alexanderbering): @aadilghani  The reason "edit vs. tell-it-to-revise vs

... utility feature. See local servers. See active ports. Open them faster. Kill them faster. Then Build Watchers happened. Suddenly Room Service was not just showing files and cleanup opportunities anymore. It started understanding active developer workflows happening across the machine. Now we added Simulators. And honestly, this feature changed the feeling of the app again. You can now: See running simulators Launch installed simulators directly Restart them Stop them Copy names / IDs Get notifications when new simulators boot Manage simulator ... ... isolated tools anymore. They are connected parts of one developer workflow. That is the direction Room Service is slowly moving toward. Not: a Mac cleaner for developers More like: a visibility and operations layer for your dev machine

... copy a Hugging Face model ID, spend 2 hours setting things up, and then watch it fail because your VRAM was off by a few GB? Yeah. We've all been there. oneinfer-edge now tells you if your machine can run any Hugging Face model before you deploy. Paste a model ID, it scans your GPU, VRAM, OS, and serving libraries, gives you a Hardware Ready verdict and full memory breakdown (weights + KV cache + serving overhead). No surprises ... ... contributions on that front are very welcome. oneinfer-edge is part of the broader oneinfer.ai inference control plane, a platform built for teams shipping multimodal AI products at scale. oneinfer-edge brings that same infrastructure intelligence to your local machine

... local server was stopped. A watcher process exited. A project issue was fixed. A repository was refreshed. A warning no longer applies. But the UI still acts like the old state is current. For tools that monitor developer machines, freshness matters as much as detection. It is not enough to surface a problem once. The product also needs to understand when that problem has changed, disappeared, or been resolved. That is something we have been improving in Room Service. Smart ... ... Advisor, Projects, Dev Ports, Build Watchers, and the menu bar all need to agree on the current state of the machine

... significant things are circulating on the internet simultaneously this week: A tweet about how a human beat a machine (a 10-hour livestream in which a human sorted packages and compared it to the productivity of a robot). Or an announcement of a Microsoft AI chief that predicts AI will automate most white-collar work within 18 months. While I don't think there will be a complete replacement of humans in either case, I do think we will ... ... everyone overnight - they ll just move much faster with fewer bottlenecks. Comment from Alper Tayfur(@alpertayfurr): I think white-collar work gets affected faster because most of it already lives inside software. But the real split is not blue vs

... which setup steps matter, which commands are safe to run, what success looks like, and what should happen when something is missing. Ota is our attempt to make that working state explicit through a readiness contract: a human-readable, machine-readable way for a repo to define the path to a trustworthy working state. The goal is not to replace package managers, Dockerfiles, CI workflows, dev containers, or setup scripts. It is to make the meaning behind them clearer ...

... Road to 1,000,000 Votap users Day 74 | Current: 1354 I accidentally invented a time machine? Still deep in the Votap Premium update, and this might be one of my favorite features so far. I completely redesigned politician profiles and rebuilt the charts system. You will be able to view sentiment history by day, month, or year using candlestick charts. But the coolest part is this: You can tap any candle and jump back in time ...

... Road to 1,000,000 Votap users Day 74 | Current: 1354 I accidentally invented a time machine? Still deep in the Votap Premium update, and this might be one of my favorite features so far. I completely redesigned politician profiles and rebuilt the charts system. You will be able to view sentiment history by day, month, or year using candlestick charts. But the coolest part is this: You can tap any candle and jump back in time ...