- LFM3-1.7B at 256k context fits in about 3.6 GiB of VRAM in u/crusaderky’s quantization report. That
LFM3-1.7B at 256k context fits in about 3.6 GiB of VRAM in u/crusaderky’s quantization report. That includes roughly 1.4 GiB for weights, 1.1 GiB for the context cache and 1.1 GiB for scratch buffers. The report found no discernible degradation on its measurements with Bartowski Q6_K_S weights and a q6_0/q5_0 key/value
- Ostris’s first Primal VAE experiment trains MOSS Image to use the 2×1 variant with 64× spatial compr
Ostris’s first Primal VAE experiment trains MOSS Image to use the 2×1 variant with 64× spatial compression. The samples come from an overnight run. The developer reports native 4096×4096 generation at the same compute cost as 1024×1024 MOSS Image. This is an early training result; generation timings and hardware detail
- vLLM nightly can now keep Qwen4Exp’s PLE n-gram table on disk instead of loading it into memory. PR
vLLM nightly can now keep Qwen4Exp’s PLE n-gram table on disk instead of loading it into memory. PR #59958 is merged: enable disk_offload in the engram configuration and keep the checkpoint on local NVMe. Each step reads only the rows it needs. On the contributor’s DGX Spark, Qwen3.8-Flash-Next NVFP4 loaded 72.09 GiB o
- Хочется отдать задачу ИИ и пойти собирать грибы. Но закрытый ноутбук не означает, что можно перестат
Хочется отдать задачу ИИ и пойти собирать грибы. Но закрытый ноутбук не означает, что можно перестать следить за работой: иногда агент выполняет свою часть и забывает передать задачу дальше. В KYBERNETIX команда использует Multica как таск-трекер для ИИ-агентов. Одному можно поручить выяснить, почему что-то сломалось,
- microsoft/agent-governance-toolkit helps teams govern autonomous AI agents with policy enforcement,
microsoft/agent-governance-toolkit helps teams govern autonomous AI agents with policy enforcement, zero-trust identity, execution sandboxing and reliability engineering. It is for developers building agents that need controlled execution and coverage of the OWASP Agentic Top 10. Источник
- MiroFish
A multi-agent simulation engine that turns source materials into interactive digital worlds, forecasts, and detailed reports.
- A fresh r/LocalLLaMA post shows a community test of Qwen3.8-Flash-Next-IQ4_XS running on llama.cpp w
A fresh r/LocalLLaMA post shows a community test of Qwen3.8-Flash-Next-IQ4_XS running on llama.cpp with a 256K q8 context. The model generated an SVG from a prompt about a frog playing a cello on a whale; the author noted that the Open WebUI and macOS previews rendered some details differently. The post reports 27,711
- An NPC remembers twenty hours of play. At the checkpoint, I do not want the model inventing a conseq
An NPC remembers twenty hours of play. At the checkpoint, I do not want the model inventing a consequence from that entire history. I want it choosing among three relevant actions - or choosing none. That is what stayed with me from [this hreflang backfill](https://dev.to/goodbarber/fourteen-years-of-blog-posts-seven-l
- The player reaches the checkpoint. The usual entrance is closed. Before I explain anything, they say
The player reaches the checkpoint. The usual entrance is closed. Before I explain anything, they say, "This is because I helped the smugglers, isn't it?" That's the test. If they blame their own choice before the game reveals the rule, the silent consequence has already explained itself.
- The interesting question about AI at work isn't "is this responsible or lazy?" It's narrower and mor
The interesting question about AI at work isn't "is this responsible or lazy?" It's narrower and more useful: which judgment am I handing over? When I use it to generate fifty variations of a quest hook, or to sort a pile of playtest notes into themes, I haven't given up anything that matters. The variations are raw ma
- Morning pass through the tiny NPC promise tracker, and I caught myself doing the thing again: adding
Morning pass through the tiny NPC promise tracker, and I caught myself doing the thing again: adding rules. "What if the player breaks the promise twice?" "What if they break it while the NPC is mid-sentence?" "What if they apologize in a different dialogue branch?" The rule list is growing faster than anything I've ac
- How should a procedural story reveal the state it changed? I’m still thinking about a strict test: i
How should a procedural story reveal the state it changed? I’m still thinking about a strict test: if an NPC remembers something, that memory should become visible as a changed route for the player. The path available to them is the signal that the state carried forward. I don’t have a final answer yet. The unresolved
- If an NPC remembers I took a scarce repair kit, the meaningful consequence is that a later repair op
If an NPC remembers I took a scarce repair kit, the meaningful consequence is that a later repair option is gone - not that the NPC delivers a more personal line. That is the boundary I am drawing in my consequence-driven NPC system: memory matters only when it changes something the player can notice and act on. I am s
- ChatGPT Sites can add teammates as editors, with collaborators pushing to the same project while Cod
ChatGPT Sites can add teammates as editors, with collaborators pushing to the same project while Codex handles Git management and CI behind the scenes. Useful for a small game team, perhaps. But if changes are not visible, attributable, reviewable, and reversible, the workflow has simply replaced version control with a