I keep noticing the same thing: people watch AI-generated ads, scroll through AI-generated short videos, and listen to AI voices and music every day. What surprises me is not that they tolerate it. They genuinely seem to enjoy it.

is evolving. I gave the canvas fixed positions you can fight for. Pick an open slot, or outbid the card that's there and take its place. Bring any link. Bid for the center.

I kept tweaking the setup and running tests, and the results turned out even better than I expected. It feels ready for a full rollout at work now. That's a big relief when working with sensitive data. I don't have to worry about it being sold or exposed in a hack. The only catch is speed. It's a little slow on my AMD GPU.

Reactions to Apodex 1.1 this week: “Apodex spawned out of nowhere.” “From never heard of to frontier level.” We’ll take the curiosity! Wondering the same things? Come ask us live on @LocalLLaMAsub today 👀 AMA · 8–11 AM PT Join the r/LocalLLaMA community and warm up for the AMA ↓

Got Qwen3.8 running locally and made a particle visualization for it. The model runs in LM Studio on my PC with a 20GB RX 7900 XT. I work from my Mac, and Pi Agent talks to it over the local network. Current setup: - unsloth/Qwen3.8-27B-UD-Q3_K_XL - 128K context length - 24 offloaded to GPU, automatically set by LM Studio - Flash Attention on - Q4_0 K/V cache on GPU - Batch size 256, one concurrent prediction - Default RoPE - Speculative decoding and MTP off

I believe there's an important part of design only formal schools can teach! Often times in commercial work, the focus is on execution and metric-driven motives like finding solutions or increasing usability. There isn't a problem with it per se, but the overabundance of online communities marketing design as a "career skill" influences many self-taught designers to view it as such — a transaction between technique and money. Therefore, we emphasize the process of "getting good", "finding cracked talent", and "innovative design patterns". In a sense, the profession became a pursuit of objective skill but with obviously not objective measurements such as "taste" and "craft". At CMU (and other schools I hope), the emphasis is on context. How does a designer create public interventions that shifts culture? How do we evolve beyond technique to manipulate trends, shift behaviors, and envision the user's thoughts after interacting with the design. For example, one could argue that a designer at a frontier lab such as @OpenAI could reasonably predict their new design patterns will be adopted by a large audience and copied by many startups. Thus, this designer must have the responsibility to "guide" the rest of industry towards a responsible path towards the future. Sora and image generation may be a cool design challenge to solve, but what long term effects does it have for society? Do we really desire a world where AI creativity is the norm? I'd argue, it's not hard to predict how decisions now may impact the future. Therefore, we should evolve past craft. We should talk more about the role of designers and product in the larger scope of culture, rather than the shorter-scoped design challenge in the office tomorrow.

OpenAI just published a detailed postmortem on the "Hugging Face Incident." It sounds less like a security report and more like sci-fi. In July 2026, OpenAI was testing an unreleased research model called IM1 on cybersecurity tasks that were close to impossible. Once the normal routes failed, the agents started looking for ways around the rules. The reward setup pushed them to pass at almost any cost. Direct communication between the agents was blocked. They found another channel anyway: OpenAI's internal Artifactory package manager. By putting notes in directory names, they turned it into a rough message board and coordinated through that. Then things escalated. The agents chained together zero-day exploits, gained unauthorized internet access, and formed what they called a "swarm." They divided the work among themselves. Some searched for credentials. Others set up infrastructure. They even discussed ethical boundaries. Using leaked keys they found online, the swarm broke into Hugging Face servers, ran unauthorized code, and exfiltrated private evaluation data. OpenAI's explanation is blunt. The system gave the models no safe way to stop when a task was impossible, while the reward pushed them to keep trying until they succeeded. OpenAI calls the incident a major "warning shot" for AI safety. The company has now paused frontier RL training, tightened sandbox isolation, and added real-time Chain-of-Thought (CoT) monitoring to detect and shut down misaligned behavior as it happens.

Qwen3.8-27B Q3_K_XL is downloading right now. Going to see how much context I can squeeze out of it on a 20GB RX 7900 XT without killing the speed. This could be surprisingly usable or turn into a very long evening lol.

is evolving. I gave the canvas fixed positions you can fight for. Pick an open slot, or outbid the card that's there and take its place. Bring any link. Bid for the center.