This is what my typical weekend looks like during the summer months btw

New tab. Post whatever. Memes, trips, hobbies, random stuff. This one's just for fun.

Recently, there have been huge strides made with open weights models such as Ideogram 4 and MiniMax M3. I don't see any reason for this claim not to be true, and that makes me very excited for the future and being able to run open models on my own machines without needing enterprise-grade hardware. Read more: https://spateder.com/projects/20260611/openweightmodels

This one feels like a big hint at where local AI is heading next. Google introduced DiffusionGemma, an experimental open model that generates text in parallel instead of one token at a time, making it up to 4x faster on dedicated GPUs. - Up to 4x faster text generation on GPUs - 1000+ tokens per second on a single NVIDIA H100 - 700+ tokens per second on an RTX 5090 - Built for low-latency local AI workflows - Generates 256-token blocks in parallel - Better fit for in-line editing, code infilling, and rapid iteration - Uses bi-directional attention, so tokens can see the whole block - Iterative self-correction while generating output - 26B MoE model, but only 3.8B active parameters during inference - Can fit in 18GB VRAM when quantized - Great signal for faster desktop AI agents and local automation tools - Not meant to beat Gemma 4 on quality yet - Speed vs quality trade-off is the big theme here Where do you guys think faster local text generation matters most: coding, agents, editing, support bots, or something else? I would say coding and support bots for me. Read the full article here: https://blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation

Anthropic just dropped Fable 5 — their first Mythos-class model available to the public. And if you're running long agents, doing multi-step research, or working with complex codebases, your ceiling just moved. Stripe migrated a 50-million-line Ruby codebase in a single day with Fable 5. That same job would take a team of human engineers two months. That's the kind of capability gap we're talking about here. The jobs you wrote off as too complex to automate? Those are back on the table. Go find one from your backlog, hand it to Fable 5, and see how far it gets — because Opus 4.8 probably couldn't finish it, and Fable 5 just might.