17 results for “jq”
Scrawl: show an agent the problem https://lobste.rs/s/jqjioq #ai #ai-tooling
https://scrawl.kitlangton.com/
Inside Forever Sprouts Vivian’s Handmade Shoes for Dolls
Watch the full video on our YouTube Channel - West Coast Doll Show Classes & Interviews
https://youtu.be/jQmqQOB-ADk?si=vK3Q7yi3jaT60xZR
quilting
sewing
stitching
patchwork https://www.instagram.com/reel/De411PSihLa/?utm_source=dlvr.it&utm_medium=mastodon #epp #quilting #sewing #stitching #patchwork
Similar but different enough to name it as unique.
#Aminus3: https://dabnotu.aminus3.com/image/2026-10-12.html
#Blipfoto: https://www.blipfoto.com/entry/3560641642807427851
#Pixelfed: https://pixelfed.social/p/dabnotu/1019581528342351806
#Barcelona #Digital #Edited #GNUImageManipulationProgram #LaBoqueria #Layered #MultipleExposure #StreetPhotography #Urban
#MiPic: https://mipic.co/image/jQ2CKOhov9I1q5NL
#MastoArt #FediGiftShop #CreativeToots
CC :cc_by: :cc_nc_eu: :cc_nd: 4.0
Why I Invested in a Viking Husqvarna Sewing Machine
Watch the full video on our YouTube Channel - West Coast Doll Show Classes & Interviews
https://youtu.be/jQmqQOB-ADk?si=vK3Q7yi3jaT60xZR
quilting
sewing
stitching
patchwork https://www.instagram.com/reel/De4FxmXiYKo/?utm_source=dlvr.it&utm_medium=mastodon #epp #quilting #sewing #stitching #patchwork
Finding the Right Fabric for Costume Design
Watch the full video on our YouTube Channel - West Coast Doll Show Classes & Interviews
https://youtu.be/jQmqQOB-ADk?si=vK3Q7yi3jaT60xZR
quilting
sewing
stitching
patchwork https://www.instagram.com/reel/De3V4WxFHsb/?utm_source=dlvr.it&utm_medium=mastodon #epp #quilting #sewing #stitching #patchwork
Hand-Stitched Dresses & Booties How They’re Made
Watch the full video on our YouTube Channel - West Coast Doll Show Classes & Interviews
https://youtu.be/jQmqQOB-ADk?si=vK3Q7yi3jaT60xZR
quilting
sewing
stitching
patchwork https://www.instagram.com/reel/De2Q70LgQXB/?utm_source=dlvr.it&utm_medium=mastodon #epp #quilting #sewing #stitching #patchwork
NOW ON VERDANT SQUARE RADIO ==
NOW PLAYING == Science Friday with Ira Flatow and Flora Lichtman 10/23/26: Ayana Elizabeth Johnson on making climate action coolhttps://youtu.be/jQWzevnhiiQ?si=16NVsz3M9hDr0iTA#news #arts #culture #history #education #NPR #storytelling #science #IraFlatow #FloraLichtman #ScienceFriday #LearnSomething #radio #vsn #progressive #left #publicradio #space #DiverseSpectrumOfTheLeft https://mastodon.social/@VerdantSquareRadio/117489789371253701
Jodie’s Colorful Art and Award-Winning Creations
Watch the full video on our YouTube Channel - West Coast Doll Show Classes & Interviews
https://youtu.be/jQmqQOB-ADk?si=vK3Q7yi3jaT60xZR
quilting
sewing
stitching
patchwork https://www.instagram.com/reel/De1hHC1DuO5/?utm_source=dlvr.it&utm_medium=mastodon #epp #quilting #sewing #stitching #patchwork
Как я с template и slot подружиться пытался
Я пишу на чистом JavaScript и PHP уже больше 20 лет. За это время я пережил jQuery, Backbone, Ember, AngularJS и видел, как React и Vue захватили умы джунов. Долгое время я искренне считал, что <template> и <slot> — это какая‑то странная ерунда штука для полифиллов Web Components, которая в реальной жизни не нужна от слова «совсем». Зачем клонировать узлы, если есть innerHTML ? Зачем Shadow DOM, если есть BEM? Оказалось, что я просто боялся нативных инструментов. Ага. Но вот, наконец‑то, перестал и моя жизнь стала проще, а бандлы легче.
https://habr.com/ru/articles/1098408/
#html #интерфейсы #вёрстка #инкапсуляция #shadow_dom #web_components #react #шаблонизирование
NOW PLAYING == Science Friday with Ira Flatow and Flora Lichtman 10/23/26: Ayana Elizabeth Johnson on making climate action cool
https://youtu.be/jQWzevnhiiQ?si=16NVsz3M9hDr0iTA
#news #arts #culture #history #education #NPR #storytelling #science #IraFlatow #FloraLichtman #ScienceFriday #LearnSomething #radio #vsn #progressive #left #publicradio #space #DiverseSpectrumOfTheLeft #SupportIndependentMedia #Resist
40 Years of Hand Sewing Why It Brings So Much Joy
Watch the full video on our YouTube Channel - West Coast Doll Show Classes & Interviews
https://youtu.be/jQmqQOB-ADk?si=vK3Q7yi3jaT60xZR
quilting
sewing
stitching
patchwork https://www.instagram.com/reel/De0w8mYiSjK/?utm_source=dlvr.it&utm_medium=mastodon #epp #quilting #sewing #stitching #patchwork
OMG!
If that what AI can do for movies, the craftspeople that make movies have nothing to worry about.
This is such shit!
Add this one to music that will make your Gen-X dad so proud. Post-punk, dream-pop, and the best UK Indie pop from the 90’s. https://open.spotify.com/album/0JICUfSKOdGqzE9FJSrNci?si=FJQ0-F2KSWO-jQh7OgpvRQ
Week 1 of Machines that pay as a 90 second video: agentic commerce from January to September 2026, including Know Your Agent (KYA), the Universal Commerce Protocol (UCP) and card payments for agents. The narration voice is AI generated.
Reading List – 2026-10-23
The agent stories show several ways to constrain or inspect access, from keeping credentials out of an agent’s hands to narrowing network calls and previewing tool requests. They leave a harder boundary open: what can the agent do once access is granted? I keep coming back to that gap. Elsewhere, Jev’s schema-valid output makes a separate point: valid structure isn’t evidence of a sound decision.
1Password wants AI agents to handle logins without ever taking a peek at your passwords
1Password’s agent model keeps the credential out of the agent’s hands: after you approve a request, 1Password fills it directly into the sign-in form. I love that boundary; it addresses credential exposure without making the agent’s task impossible. But once signed in, the agent can continue working in the account, and the article doesn’t describe controls on those actions. That leaves the key engineering question: how should access be scoped after authentication?
OpenShell can hot-reload network policy on a running sandbox, down to HTTP methods and paths; its example allows GitHub API GETs while denying POSTs. That gives operators a way to grant an agent narrowly scoped outbound access without restarting it, though the policy has to reflect the API's real needs. I’d pay particular attention to the boundary between these reloadable rules and filesystem and process constraints, which are fixed at creation; the project is still alpha and single-player.
Median product "lifespan" has fallen from ~4y down to ~1.5y
The post cites a drop in SaaSHub’s median product lifespan from roughly four years to 1.5, and links it to cheap, vibe-coded launches. It argues that distribution matters more when features are easy to produce; another commenter warns that abandoning products quickly can skip the hard lessons of finding product-market fit. What catches my attention is that faster failure only helps if teams capture those lessons, so each launch needs to produce evidence before the team moves on.
Grok Bot can now add events, set reminders, and even turn off your lights for you
Grok can read and send messages, use location, manage calendar events and reminders, handle contacts, and control Home, with a separate Allow button for each app. That lets someone enable reminders without granting message access, a useful boundary when an assistant can both inspect information and take actions. What catches my attention is the unanswered scope of each permission: the article doesn’t say whether sending a message or locking a door requires any further confirmation.
The article’s strongest engineering point is that Jev’s schema-valid output isn’t evidence of a correct decision. It says conventional language models can get the same constraint through a type checker or JSON-schema parser, while Jev does it faster and without reasoning. I like the distinction: there may be something useful under the hype, especially where local execution or speed matters, but those advantages don’t establish quality for your task. I’d evaluate it against real inputs and error costs, not its claim that it can’t hallucinate.
Feng Shui for Robots: The Fly MCP Server
Keeping the agent’s sandbox and production target on Linux avoids a runtime rewrite: Sprites retain files across restarts and run services. The Fly MCP server can create a Machine, volume, and secrets, while the agent brings knowledge of what it configured. Fly says there’s no universal promotion flow because each Sprite can contain a different project. I like that honest boundary; the remaining question is whether the agent can account for production requirements beyond its setup.
Physicists Trap a Single Antimatter Particle For a Month
Keeping a positron for a month depends on a container with no walls: electric fields confine it vertically, magnetic fields at the sides, in an ultracold vacuum. I can see why that setup sounds remarkable; it makes a particle that risks annihilation during handling available for measurement over time. The team plans to compare its magnetic moment with the electron’s, testing a precise Standard Model prediction. The trap enables that comparison, but the article reports the positron measurement as future work.
The hard part here is less whether LLMs change vulnerability research than whether maintainers, vendors, and operators can coordinate before a patch is usable. The PHP disclosure timeline shows how leaks and premature fixes can compress response into hours; AWS also reported seeing probing before those leaks, so better disclosure alone won't close the window. I’m probably in the author’s naive camp: coordinated security work is hard, but treating rapid exploitation as normal leaves no acceptable alternative. Teams need plans that assume exposure without giving up on improving coordination.
Rivian buys world model startup to accelerate self-driving ambitions
Proposal: Rivian's bet is to combine Third Dimension's AI-generated 3D worlds with real driving data, so its simulator can cover complex conditions before rare edge cases occur. The company says its customer fleet uploads more than 400,000 driving sequences daily. What catches my attention is whether generated scenes preserve the details needed for reliable validation; as more companies pursue autonomy, this is a world-model approach worth watching.
Introducing the Gemini API CLI
For shell-capable agents, gemini-api makes the interface inspectable before a request runs: –help, machine-readable –usage, –schema, and offline –dry-run expose commands and validate calls. Media commands write files to disk and emit only paths, while JSON, toon, and –jq keep results parseable, avoiding throwaway SDK scripts and base64-heavy context. I like that it treats output shape and offline validation as part of the agent interface, not an afterthought. Because the preview's command surface is still changing, I'd test those contracts before building a durable workflow around them.
#Agents #AI #Developer #Infrastructure