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CompanyAnthropic8 recent entries
8 Oct 2026I built a local server that speaks the Ollama API - sessions survive crashes, and your chat doesn't wait behind your agents

Disclosure first: I'm one of the maintainers, this is my project. If you've pointed Open WebUI or a script at a local server, you know the failure modes: the server restarts and every conversation is

→8 Oct 2026b11505

vulkan : fix TOP_K for +inf/NaN inputs and k = 1 on negative values (#30107) The bucket search in topk_nary_search.comp started from the range [0, 0xFF800000), which ends just below the ordered-uint m

→8 Oct 2026b11488
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HumanDGX agent

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model : add LiquidAI/d1-omni-600M decision model (#30114) model : add LiquidAI/d1-omni-600M decision model Assisted-by: Claude Opus 5.5 mtmd : keep conformer GLU sigmoid on CUDA Assisted-by: Claude Op

→8 Oct 2026b11483

model : add LiquidAI/d1-3B decision model (#30110) model : add LiquidAI/d1-3b decision model mtmd : read LFM2 image resize algo from GGUF Assisted-by: Claude Opus 5.5 common : rename decision type d1

→8 Oct 2026b11480

llama : add a GPU cache for MoE experts kept in host memory (#29887) llama : add a GPU cache for MoE experts kept in host memory Assisted-by: Claude use llama_moe_cache_ptr Website: https://llama.app

→9 Oct 2026b11532

model : use exact GELU for ModernBERT encoders (#30108) model : use exact GELU for ModernBERT encoders Assisted-by: Codex model : keep tanh GELU aliases on ggml_geglu Assisted-by: Claude Opus 5.5 mode

→11 Oct 2026b11556

model : support for Prism Bonsai 2 27B (#29600) Runtime support for Prism Bonsai 2 27B Assisted-by: Claude Code address prism hadamard runtime feedback move hadamard tensors into method, define folded

→12 Oct 2026llama.cpp optimizations for specific hardware and models

I've made a few posts recently, just talking about the hardware I've got and the model I use. Pair of P100s, Unsloth Qwen3.6 35b A3B UD Q4 K XL. There's been a ton of talk of model and hardware specif

CompanyOpenAI8 recent entries
7 Oct 2026I re-trained the DFlash 2 drafter for Ternary Bonsai 2 27B: 2.2x on an L4 (3.2x on code edits with ngram lookup), 1.5x on a Mac, 1.2x in Chrome

PrismML's Ternary Bonsai 2 27B fits a 24 GB card or Mac, but decodes at ~30 tok/s on an L4 and ~21 on an M4 Pro. z-lab's DFlash 2 drafter was trained on bf16 Qwen3.8-27B, so it guesses worse on the te

→7 Oct 2026Google rolls out improved SynthID AI content detector, now available globally

Google has launched a global SynthID AI content detector at synthid.com that identifies invisible watermarks embedded in images, videos and audio generated by its Gemini model. The upgraded tool now r

→7 Oct 2026b11472

sampling : use greedy selection for eligible temperature-zero chains (#29797) sampling : use greedy selection for eligible temperature-zero chains Assisted-by: OpenAI Codex Apply suggestion from @gger

→8 Oct 2026I built a local server that speaks the Ollama API - sessions survive crashes, and your chat doesn't wait behind your agents

Disclosure first: I'm one of the maintainers, this is my project. If you've pointed Open WebUI or a script at a local server, you know the failure modes: the server restarts and every conversation is

→11 Oct 2026Now you can grow Bonsai on your potato

No more excuses for GPU-poor folks not to start LLMing! Full 27B-class reasoning in ternary transformer weights, for llama.cpp (CUDA, Metal, CPU) ~9.3x smaller than FP16 (ideal) | 98.2% of FP16 intell

→12 Oct 2026Receipt scanner that runs a fine-tuned 0.8B vision model on the phone (free) - detailed cost tracking

I wanted to track grocery spending per item without sending my receipts to anyone, so I built an Android app around a small vision model that reads a photo of a receipt into JSON: store, date, total,

→12 Oct 2026Meta says it plans to power its Muse AI agent with Wonder, starting with subscribers, and will develop specialized models it 'can bring to everyone using Muse' (Robert Hart/The Verge)

Robert Hart / The Verge: Meta says it plans to power its Muse AI agent with Wonder, starting with subscribers, and will develop specialized models it “can bring to everyone using Muse” — Meta says the

→12 Oct 2026Meta introduces Muse Wonder and Muse Wonder Full, saying they deliver state-of-the-art performance on personal and professional agentic tasks (Meta AI Research)

Meta AI Research: Meta introduces Muse Wonder and Muse Wonder Full, saying they deliver state-of-the-art performance on personal and professional agentic tasks — Fourteen months ago, we began a ground

CompanyGoogle8 recent entries
27 Sept 2026Wiki Lint Report — 2026-09-27

Automated lint: 17 errors, 59669 warnings, 3 info

→27 Sept 20262026 in LLMs (so far)

On Friday I gave the closing keynote at the WeAreDevelopers World Congress North America in San Jose. I tied together the key trends from the past year into a chronological exploration of everything t

→28 Sept 2026Why your startup needs open models alongside frontier APIs

Every week, I talk with founders who are building at an unbelievable pace. Teams are moving from inception to product-market fit faster than ever, with foundation models wired deeply into their core p

→30 Sept 2026I built a free, local Qwen-Image 2.1 app for Apple Silicon Macs: multi-image edits, transparent PNGs and a node canvas

I built Image Studio, a local web app for Qwen-Image 2.1 on Apple Silicon. I had the model running on my Mac, but the only way to use it was the ComfyUI graph, and chaining edits meant wiring loaders,

→1 Oct 2026Introducing the Server Side Cloud Swift SDK

For years, Swift was perceived mainly as a UI language tied to Apple client devices. With the release of Swift 6 and strict concurrency checking, Swift has matured into a premier systems with cloud en

→4 Oct 2026Wiki Lint Report — 2026-10-04

Automated lint: 19 errors, 64915 warnings, 3 info

→7 Oct 2026Google rolls out improved SynthID AI content detector, now available globally

Google has launched a global SynthID AI content detector at synthid.com that identifies invisible watermarks embedded in images, videos and audio generated by its Gemini model. The upgraded tool now r

→10 Oct 2026Open-source Mac app that runs EmbeddingGemma 2 locally to search your files by what’s in them

DigUp is a free Mac app that runs Google DeepMind’s new EmbeddingGemma 2 locally over your own files. The model puts text, images, audio and video in one space, so you describe what you remember and l

CompanyMeta8 recent entries
12 Oct 2026b11570

tests : link each test against only the libraries it uses (#30299) Give llama_build() and llama_build_and_test() a LINK keyword (default: llama-common) so call sites can declare what a test actually n

→12 Oct 2026b11569

metal : fix mul_mat_id with duplicate ids (#30373) metal : fix mul_mat_id limits and kernel name metal : fix mul_mat_id with duplicate ids kernel_mul_mm_id_map0 assumed at most one match per token and

→12 Oct 2026b11567

llama : report compute graph reallocations during inference (#30329) Add an optional ggml_backend_sched_realloc_callback that user code registers with ggml_backend_sched_set_realloc_callback to be not

→12 Oct 2026b11565

sycl: guard DMMV reads at row tails (#29338) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/54988744 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Sil

→12 Oct 2026b11564

vulkan: use ternary expressions to avoid switch lowering for CM2 quant block size (#30164) vulkan: specialize quant block size for CM2 matmul vulkan: use ternary expressions to avoid switch lowering f

→12 Oct 2026b11563

ggml: Change default visibility of symbols to hidden (#30014) See discussion in #29997. This prevents a handful of internal symbols leaking via GGML_API. Website: https://llama.app Attestations: https

→12 Oct 2026b11562

vulkan: fix buffer logging on 32-bit platforms after source split (#30326) Move the vk::Buffer stream operator to the shared header so it is visible to ggml-vulkan-debug.cpp. Website: https://llama.ap

→12 Oct 2026b11560

hexagon: add IM2COL_3D (#30305) hexagon: add IM2COL_3D support Assisted-by: OpenCode hexagon: add DMA paths for IM2COL_3D Assisted-by: OpenCode hexagon: avoid scalar fp16 conversions in IM2COL Assiste

CompanyMistral8 recent entries
11 Apr 2026All People

Auto-generated index of all people mentioned across the wiki.

→11 Apr 2026All Models

Auto-generated index of all models mentioned across the wiki.

→11 Apr 2026All Companies

Auto-generated index of all companies mentioned across the wiki.

→21 Apr 2026Cross-Family Speculative Decoding for Polish Language Models on Apple~Silicon: An Empirical Evaluation of Bielik~11B with UAG-Extended MLX-LM

arXiv:2604.16368v1 Announce Type: new Abstract: Speculative decoding accelerates LLM inference by using a small draft model to propose k candidate tokens for a target model to verify. While effective

→15 Jul 2026Wiki Lint Report — 2026-07-15

Automated lint: 26 errors, 6728 warnings, 3 info

→19 Jul 2026Wiki Lint Report — 2026-07-19

Automated lint: 20 errors, 8743 warnings, 3 info

→16 Sept 2026b10994

metal: fix NaN in mul_mm_id when activations exceed f16 range (#26223) test-backend-ops: reproduce MUL_MAT_ID NaN for activations beyond f16 The Metal mul_mm_id path narrows src1 to half for the simdg

→28 Sept 2026Energy Efficiency of Locally Deployed LLMs: A Preliminary Quantitative GPU Power Benchmark on Consumer Hardware

arXiv:2608.00008v2 Announce Type: replace Abstract: The local deployment of large language models (LLMs) is gaining traction due to privacy concerns and the desire for on-premise inference. However, t

CompanyxAI8 recent entries
9 Sept 2026Wiki Lint Report — 2026-09-09

Automated lint: 12 errors, 53990 warnings, 3 info

→13 Sept 2026Wiki Lint Report — 2026-09-13

Automated lint: 12 errors, 54839 warnings, 3 info

→16 Sept 2026Can current MiniCPM5-2B/any best SOTA under 10B + modern harness beat pre-March 2025 frontier models like Grok 3/GPT-4o?

Hey experts! I genuinely have this question and would love a general consensus from people actually using these models. LLMs have advanced a lot in benchmarks and in practical usage. Even GPT-4o and G

→20 Sept 2026Wiki Lint Report — 2026-09-20

Automated lint: 14 errors, 54840 warnings, 3 info

→27 Sept 2026Wiki Lint Report — 2026-09-27

Automated lint: 17 errors, 59669 warnings, 3 info

→4 Oct 2026Wiki Lint Report — 2026-10-04

Automated lint: 19 errors, 64915 warnings, 3 info

→7 Oct 2026Muse launches on the iPad

After launching nearly a month ago and spending several weeks as the top free app in Apple's App Store, the latest update to Meta's Muse iOS app introduces native support for the iPad. A Mac version o

→8 Oct 2026Grok @Bot works well on your phone. Just download the app from Apple or Android. https://apps.apple.com/app/id6794501026

Grok @Bot works well on your phone. Just download the app from Apple or Android. https://apps.apple.com/app/id6794501026 This feels unreal Used Grok Bot today, mostly from my phone I got more done fro

CompanyDeepSeek8 recent entries
17 Sept 2026b11020

chat : add message delimiters to the DeepSeek V3.2/V4 parser (#29008) chat : add message delimiters to the DeepSeek V3.2/V4 parser Assisted-by: Claude Co-authored-by: Sigbjørn Skjæret sigbjorn.skjaere

→18 Sept 2026What Users Think of Generative AI: A Cross-Platform NLP Analysis of Trust and Friction in App Store Reviews

arXiv:2609.19151v1 Announce Type: new Abstract: Generative AI (GenAI) applications have achieved rapid consumer adoption, yet little large-scale research examines user-perceived quality, trust, and ad

→21 Sept 2026[Splash Engine] Qwen3.8-27B in native 8-bit at 37–55 tok/s on Apple Silicon: Extending Splash to Q8, 256k context scaling, and the 'Reasoning Cliff'

https://preview.redd.it/nulsv53o8vqh1.png?width=4500&format=png&auto=webp&s=74765dbd409f4c221640f9f6000a685f6fdbb242 Spent weekend benchmarking the Splash engine (by Incoai) and extending its architec

→21 Sept 2026b11090

cuda: fix sm_70 tile compilation error (#29224) The 5-argument load_ldmatrix added in 1884824 only defines tile<16,8>, so the Volta tile<8,4> does not match. See #29222 for details. Building on 188482

→27 Sept 2026Splash fork optimised for M5 Max: ~1.5× faster (1.25× single request)

I’ve spent the last couple of days with Opus 5.5 working on a fork of Inco’s excellent and already blazingly fast Splash engine to optimise it for M5 Max chips. Taking liberties and referring to it as

→27 Sept 2026Power Limits, Local AI, and Questionable Uses of My Free Time

Good day data nerds! I am trying to get more into running models, learning about agentic workflows, and creating my own tools. But as you do (right?) I had to fine tune my current setup. With the way

→28 Sept 2026Qwen 3.8 is a workhorse

https://preview.redd.it/23cumykhabsh1.png?width=944&format=png&auto=webp&s=0b1d1c437fc845169f521b31793e2b1325dab0dd Reminder that you can put Qwen 3.8 27B as a subagent and its a workhorse. Pic: using

→29 Sept 2026Autonomous Research Project Management as an Agent Skill: A Case Study in Exact Spectral Spatial Regression

arXiv:2609.31683v1 Announce Type: new Abstract: This work presents an end-to-end demonstration of autonomous machine learning research conducted by an agent skill on consumer hardware. The demonstrati

CompanyNVIDIA8 recent entries
5 Oct 2026v0.6.0

Overview llama.cpp v0.6.0 introduces the new llama_batch_ext extended batch API (with llama_process) for mixed token/embedding inputs and MTP/deepstack state embeddings, adds support for the GLM-5.3-F

→5 Oct 2026My qwen model hallucinated a signed URL to Alibaba cloud, normal or sketchy?

I'm using Qwen3.8-Flash-Next running on my Mac Studio as a daily driver for coding + productivity tasks, and yesterday it did something weird: I had it do some product research on amazon, so it was do

→7 Oct 2026Our SynthID technology lets you easily verify if an image, video, or audio file is AI-generated, and today we’re expanding access. Now anyon…

Our SynthID technology lets you easily verify if an image, video, or audio file is AI-generated, and today we’re expanding access. Now anyone can go to http://synthid.com to check files for a SynthID

→7 Oct 2026I re-trained the DFlash 2 drafter for Ternary Bonsai 2 27B: 2.2x on an L4 (3.2x on code edits with ngram lookup), 1.5x on a Mac, 1.2x in Chrome

PrismML's Ternary Bonsai 2 27B fits a 24 GB card or Mac, but decodes at ~30 tok/s on an L4 and ~21 on an M4 Pro. z-lab's DFlash 2 drafter was trained on bf16 Qwen3.8-27B, so it guesses worse on the te

→7 Oct 2026Google rolls out improved SynthID AI content detector, now available globally

Google has launched a global SynthID AI content detector at synthid.com that identifies invisible watermarks embedded in images, videos and audio generated by its Gemini model. The upgraded tool now r

→7 Oct 2026d1-3B and d1-omni from LiquidAI

https://preview.redd.it/owhrvbbiu2uh1.png?width=4096&format=png&auto=webp&s=55d816753e7adee0e1391c9f581052b4bde44da7 d1-omni-600M d1-omni-600M is a 600M parameter decision model built on LFM2.5-Encode

→8 Oct 2026b11505

vulkan : fix TOP_K for +inf/NaN inputs and k = 1 on negative values (#30107) The bucket search in topk_nary_search.comp started from the range [0, 0xFF800000), which ends just below the ordered-uint m

→10 Oct 2026Strata with Qwen3.8 Flash Next UD-Q4_K_XL

Been seeing quite a few posts about Strata lately, so I figured I'd give it a shot on my RTX PRO 6000 and I am very impressed. Most of the benchmarks I've seen are using IQ2 or IQ3 quants, so I wanted