Liquid AI put an omni model in a browser tab the same day Anthropic cut the price floor again.
Top Signal
Liquid AI ships d1 family; 600M omni model runs in-browser on WebGPU
new tool
r/LocalLLaMA
Liquid AI released a new LFM generation today: d1-3B plus a d1-omni (multimodal) line, and r/LocalLLaMA had a 600M omni variant running entirely in a browser tab on WebGPU within hours. Three separate threads tracked it — the morning teaser, the Hugging Face drop, the browser demo. What matters is the size/modality combination: an omni model small enough to ship client-side means transcription, image Q&A, and intent classification can move off your API bill and out of your privacy surface, with no install step. Weights are on Hugging Face now. Concrete move: run the WebGPU demo and test d1-omni 600M against whatever hosted model handles your lowest-value, highest-volume calls — classification, tagging, redaction, request routing. If quality holds, you delete a network hop. No benchmarks are published yet, so treat quality claims as unverified until you run your own evals.
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Fast Signals
Claude Haiku 5.5 resets the cheap tier
platform change
Simon Willison, HN Front Page
Anthropic shipped Haiku 5.5; Willison notes the previous Haiku was badly showing its age against current small models. For builders this is a routing decision, not news — anything you currently send to a mid-tier model for extraction, classification, or tool dispatch is worth re-benchmarking at Haiku prices this week. Nothing changes architecturally.
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OpenAI pairs GPT-6 with "Intelligent UI"
platform change
HN Front Page
OpenAI launched GPT-6 alongside Intelligent UI, its pitch for model-generated interfaces instead of chat transcripts. The builder-relevant part is the UI surface, not the model: if generative UI becomes a first-party primitive, hand-rolled tool-call-to-component rendering layers become commodity. Read the API shape before you commit more engineering to your own.
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OpenAI Decisions API lands, with an llm plugin already
platform change
Simon Willison
OpenAI's Jev-style Decisions API went live and Willison shipped llm-openai-decisions 0.1a0 wrapping it for the llm CLI. Decision models — small, fast, structured route/approve/classify calls — now have a major-vendor API after two weeks of open-weight experimentation. Bookmark if you pay full-model prices for routing or moderation.
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llama.cpp PR caches host-memory MoE experts on the GPU
workflow
r/LocalLLaMA
PR #29887 adds a GPU cache for MoE experts kept in host memory — the hot path for anyone running a large MoE on consumer VRAM. A second PR (#29928) lands GLM5Next MTP speculative decoding. Both are unmerged; track them if your local throughput is bound by offload rather than compute.
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Docker publishes its own agent harness
new tool
HN Front Page
docker/docker-agent is an official agent harness from the container vendor, front-paged same day. The notable claim is provenance rather than capability: agent sandboxing built by the people who own the sandbox primitive. Worth evaluating against whatever container isolation you hand-rolled for untrusted tool calls.
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Strata's 4090 throughput claims get a coding-work review
emerging signal
r/LocalLLaMA
A long-running "Tested in Coding" reviewer put Strata — the engine claiming a 125B MoE at ~100 tok/s on a single 4090 — through real coding tasks and framed the verdict as deliberately unpopular. Third appearance in four days. Read it before you rebuild a local stack on throughput numbers alone.
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rea: agents that reverse-engineer apps down to binaries
new tool
GitHub Trending
rea trended on GitHub for agentic reverse engineering, from app behavior down to native binaries. Even if you never touch binaries, it is a reference implementation of a hard agent workload — long-horizon, tool-heavy, with verifiable output. Practical use: understanding opaque dependencies and SDK behavior you have no source for.
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Radar
NanoMuse: open-source agent for phone and desktop
A Show HN open-source agent targeting both mobile and computer control, at 54 points and early stars. Device-control agents are mostly closed right now; an MIT-ish open one is worth watching for the harness design alone.
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A 19,969-parameter LM that still writes stories
MacroStories is 81 KB of FP32 weights and still produces coherent TinyStories-grade text. Not useful in production, but a sharp lower bound on how much capacity narrow tasks actually need.
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Mining-card HBM build: GLM-5.3 at 384K ctx, ~90 tok/s
Two salvaged CMP 170HX cards with 64GB of HBM run GLM-5.3-Flash at 384K context on EXL3. The HBM-first framing is the new part — bandwidth, not VRAM count, is what buys long context.
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Kandinsky 6.0 ships video gen plus an upscaler
Another open video-generation release, this one bundling an upscaler in the same drop. Second open video model in four days — the pipeline, not the model, is becoming the differentiator.
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Convergence Watch
agent harness
TRENDING
3 mentions across HN Front Page, HN Show, GitHub Trending
Three independent sources today — Docker's official agent, NanoMuse, and rea — and the fifth day in seven for this theme. The harness layer is consolidating fast and is now being claimed by infrastructure vendors, not just individual devs. Expect your bespoke orchestration glue to be commoditized within a quarter.
liquidai d1
4 mentions across r/LocalLLaMA
Four posts in one day on a single source, covering teaser, weights, and a browser demo. Single-source so far, which is exactly the shape a genuine early signal has before major newsletters pick it up. Watch for a second independent source tomorrow to confirm.
decision models
TRENDING
1 mentions across Simon Willison
Third distinct day in seven, and the trajectory is the story: open weights to llama.cpp support to a first-party OpenAI API with a CLI plugin inside a week. Structured cheap decisions are becoming a standard tier in the stack rather than a prompting trick.
llama.cpp
TRENDING
3 mentions across r/LocalLLaMA
Fourth day in seven. Every local-inference advance — MoE offload caching, MTP speculative decoding, decision models — lands here first as a PR. Reading the open PR queue is a cheaper leading indicator than reading release notes.
strata
TRENDING
1 mentions across r/LocalLLaMA
Third day in seven, and the coverage has shifted from throughput claims to hands-on skepticism. That transition is usually where an inference engine either earns adoption or stalls. Wait for the review before migrating.
STALE: Latent Space newest item is >48h old