标签：#t

With no embedded modem, the Slate Truck is the antithesis of today's connected cars.

Anthropic is expanding Project Glasswing, its security vulnerability program, and access to Mythos to 150 organizations across 15 countries — targeting critical infrastructure in power, water, healthcare, and communications where a cyberattack could affect 100 million people.

submitted by /u/Useful_Tangerine4340 [link] [留言]

[ Removed by Reddit on account of violating the content policy . ] submitted by /u/OK_Philosopher352 [link] [留言]

Text: I’ve been thinking about how much of our identity is built around work. Our job titles, productivity, status, even the feeling of being “useful”, all of it feels so normal now. But historically, this version of work is actually very recent. For most of human history, people didn’t have jobs, resumes, office hours, or career paths. Work wasn’t separate from life. It was just part of living. Now AI seems to be pushing us into another shift. Maybe the big question isn’t only “what jobs will disappear?”, but also: if work becomes less central to who we are, what takes its place? How do you see it? Is AI changing only the future of work, or also the way people define human value? submitted by /u/GenesisProperty [link] [留言]

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 […]

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]

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]

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]

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

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GitHub热门项目 | OpenShell is the safe, private runtime for autonomous AI agents. | Stars: 6,576 | 142 stars today | 语言: Rust

GitHub热门项目 | | Stars: 2,195 | 39 stars today | 语言: Rust

GitHub热门项目 | Next Generation Agentic Proxy for AI Agents and MCP servers | Stars: 2,981 | 28 stars today | 语言: Rust

GitHub热门项目 | A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK | Stars: 29,629 | 44 stars today | 语言: TypeScript

GitHub热门项目 | A collection of libraries and tools that help you build adaptive, accessible, and robust user experiences. | Stars: 15,295 | 67 stars today | 语言: TypeScript