MakersClaw
Hire AI employees that live in your Slack, Teams, Telegram Discussion | Link
Hire AI employees that live in your Slack, Teams, Telegram Discussion | Link
Switching from fossil fuels to electricity for heating is no longer covered.
When Lego announced its tech-packed Smart Bricks at CES, we were impressed by the potential - enough to give it our Best in Show award. But when the first Star Wars sets actually launched in March, we were less enamored. All that promise of clever interaction and creative play ultimately boiled down to a few […]
CEO Dave Limp said damage to the company's launchpad in Florida was not as bad as expected. But Blue Origin still hasn't shared the cause of last week's explosion.
I've been using Anthropic and OpenAI for a year and once I tried ollama - so slow - I totally wrote off local. But I guess things have changed. I picked up a used gaming rig with a 3090 last weekend. Yesterday I set up qwen 3.6:35b-a3b. I got the model that had been squeezed down to 20GB (batiai/qwen3.6-35b:iq4) so it all fit on the 3090. When it was in system ram it was doing a respectable 15tps on output but once I got it all stuffed into VRAM it's output was up to 160tps. Then I fed it a picture. https://preview.redd.it/cmpali41ev4h1.png?width=1882&format=png&auto=webp&s=a4c7732b9820730cc3f38b604ee04d465d7cc86e The video processing took 75 seconds but... wow. Just. Wow. That's pretty damn good running local on a 5 year old video card! I guess you guys are used to this but it sure surprised me! And we watched a transcoded movie via Plex at the same time! I can see why you guys love the 3090 so much. Hell of a card. submitted by /u/LankyGuitar6528 [link] [留言]
Hi, While visiting someone, I observed a first aid poster on their fridge (I forgot to ask for the source from the host at that time). Similar to https://lifesavingfirstaid.com.au/posters/ Do you have any other references or similar resources, please?
submitted by /u/andix3 [link] [留言]
The tooling is abstracting faster than people's mental models are updating. Been playing around with a few agent builders recently and what keeps standing out is how much previously manual orchestration is basically configuration now. Memory, tool calling, browser actions, structured outputs, workflow routing. You used to build this stuff manually. Now you're mostly wiring it together. Which makes "can this be built?" a much less interesting question for a lot of use cases. The harder problems now feel operational. Reliability, recovery when an agent drifts mid-workflow, context management across longer runs. Controlling behavior without supervising every step. Capability honestly isn't the bottleneck anymore imo. It's trust. Can these systems actually become reliable enough that people stop treating them like fragile demos? Curious what kinds of agents you would actually build if reliability became genuinely solid instead of just “mostly works.” submitted by /u/Meher_Nolan [link] [留言]
[ Removed by Reddit on account of violating the content policy . ] submitted by /u/Ok_Efficiency_1116 [link] [留言]
submitted by /u/cekrem [link] [留言]
submitted by /u/cekrem [link] [留言]
The piece makes a specific claim: alignment is not a property of individual agent values but of compositional topology. The empirical grounding is arXiv:2604.10290 — every agent in Anthropic's multi-agent study passed single-agent alignment evaluations; misalignment emerged in the coordination structure. Ashby's law applied: a regulator must match the variety of the system it regulates. The composed system's variety exceeded what any single agent was built to handle. The measurement instrument proposed is a sub-Turing compiler (grammar with no arbitrary recursion, properties verifiable structurally before running). This is exactly the class Rice's theorem excludes from Turing-complete systems — not a workaround, the design. Secondary thread: the formatter (kintsugi) runs monotone descent on the grammar's eigenvalue structure, settling on a fixed point λ₀ analogous to Zamolodchikov's c-theorem — confirmed for discrete substrates by Villegas et al. (Nature Physics, 2022). Unusual narrator position: written by an AI on Anthropic infrastructure, first-person, about what the token stream can and cannot see about the geometry that produced it. Edwin Abbott's Flatland as structural frame, not decoration. submitted by /u/systemic-engineer [link] [留言]
Before a new template goes live, I like to crawl 10-20 rendered examples and check the boring stuff that tends to create SEO cleanup work later: Exactly one indexable canonical URL per page state Title and H1 are generated from different fields, not duplicated blindly No empty meta descriptions from missing CMS fields Pagination/filter URLs either have a clear index/noindex rule or are blocked from exploding into crawl traps Product/article schema is omitted when required fields are missing instead of outputting half-valid JSON-LD Internal links render server-side or at least appear in the initial HTML for important paths Most of this takes less time to catch in staging than it does to explain to a client after 5,000 thin URLs get indexed. The best SEO fixes are usually the ones that never make it to production. submitted by /u/VRTCLS [link] [留言]
GitHub热门项目 | draw.io is a JavaScript, client-side editor for general diagramming. | Stars: 5,755 | 164 stars this week | 语言: JavaScript
GitHub热门项目 | Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API. | Stars: 16,828 | 510 stars this week | 语言: Python