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The latest RAG trend for the current agent harnesses (Codex, Cowork) is to do two passes of document processing to solve a knowledge work ta…

model-releasesjerry-liu--x

The latest RAG trend for the current agent harnesses (Codex, Cowork) is to do two passes of document processing to solve a knowledge work task over a data room of documents: 1️⃣ A fast and light pass,

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Model Releases

The research on financial advice https://x.com/emollick/status/2085174123743842448?s=20

DGX agent

The research on financial advice https://x.com/emollick/status/2085174123743842448?s=20 This paper by researchers from MIT and Stanford finds that most people would be financially better off if they f

model-releasesethan-mollick--x

23 Aug 2026

They treat DC as a plaything for incompetent leaders. They treat their job as a grift and a joke. Vote them ALL out

model-releasesanthropic--x

They treat DC as a plaything for incompetent leaders. They treat their job as a grift and a joke. Vote them ALL out Mike Johnson says he wants to make the downtown DC Indycar race 'an annual event ...

Local Ai

Unsloth Q1-Q2 Qwen3.8-27B with MTP since the unsloth ones don't ship with for the lowest quants

https://huggingface.co/jojohai/Qwen3.8-27B-MTP-graft Tested on Vulkan, the grafting saves RAM compared to using an external file. What I don't guarantee however is the quality of answers. The model is

local-air-localllama

Why has DSv4 0813 become trash?

It performs at full capacity without any issues anywhere, but only the Ollama DeepSeek seems particularly trashy. Why on earth has the Ollama DeepSeek unusable trash that goes into over reasoning and

model-releasesr-ollama

you can now use MTP in GLM-Air

If anyone still remembers GLM-4.5-Air from last year, you can now get a nice speedup by enabling MTP in llama.cpp. It is a 106B MoE with only 12B active parameters, which makes it interesting for mach

A couple of days ago, I did a quick explainer on Claude’s new watermarking process and implementation. Since it’s such a popular topic and s…

model-releasessebastian-raschka--x

A couple of days ago, I did a quick explainer on Claude’s new watermarking process and implementation. Since it’s such a popular topic and sparked such a lively discussion, I thought it might be inter

b10573

mtmd: support webp via ffmpeg (#27520) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/42289035 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (

b10576

sycl : add Q2_K reordered MMVQ and ESIMD kernels (again) (#27490) Revert 'Revert 'sycl : add Q2_K reordered MMVQ and ESIMD kernels (#26336)' (#…' This reverts commit 7a0e42f. add gate params Website:

b10577

common : fix draft-mtp with embeddings (#26352, #27299) (#27400) common: fix draft-mtp with embeddings (#26352) --whitespace Co-authored-by: Sigbjørn Skjæret sigbjorn.skjaeret@huggingface.co Website:

b10578

ggml: optimize concat op by replacing per-element memcpy with row-level memcpy (#24575) ggml: optimize concat op by replacing per-element memcpy with row-level memcpy ggml: fix concat offsets for row-

b10580

mtmd: support dots3-note vision+audio (#27524) text: conversion init impl mtmd: conversion impl mtmd cpp Update gguf-py/gguf/tensor_mapping.py Co-authored-by: Sigbjørn Skjæret sigbjorn.skjaeret@huggin

b10582

ci : Restore ROCm job for Ubuntu (#27399) Revert 'ci : disable ubuntu-rocm (#26969)' This reverts commit 9558fa4. ci: set ccache compiler_check=content for ROCm build The ROCm toolchain is pip-install

b10585

common: add json.h abstraction (#27511) add common/json migrate common adapt jinja migrate server big wip migrate tests wip revert some excessive changes wip wip 2 revert redundant changes fix server

b10586

mtmd: use ggml_rope_set_offset (#27521) mtmd: use ggml_rope_set_offset add comment Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/42334609 macOS/iOS: macOS

b10587

vulkan : added the PAD_REFLECT_1D operation (#26586) vulkan : added PAD_REFLECT_1D operation Implemented the GGML_OP_PAD_REFLECT_1D operation for the Vulkan backend Changes: pad_reflect_1d.comp: imple

b10588

common: json.h: fix clang lto (#27575) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/42368523 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silicon (

Applications

From tokenmaxxing to sovereign alpha: Who controls your AI economics?

The artificial intelligence industry wants enterprises to measure progress in tokens, model calls and usage. But those are largely vendor-revenue metrics — not enterprise-value metrics. The Canva exam

applicationssiliconangle

GLM-5.2 local inference: ubatch size made a much bigger difference than I expected

Has anyone else experimented with ubatch size when running GLM-5.2 locally? I was testing the 226 GiB GLM-5.2-UD-IQ2_XXS GGUF on 3x RTX PRO 6000 Blackwell GPUs and got a pretty interesting result. Wit

Lightweight agent to use on laptop?

Hi there. I have a Lenovo Yoga laptop (16GB LPDDR5, AMD Ryzen 7 8840HS, integrated GPU). I have downloaded Ollama and installed Qwen 2.5coder:3b llm. I have tried OpenClaw, and Qwen Code but it seems

model-releasesr-ollama

Need support for llama.cpp with multi GPU

Using llama.cpp I seem to be unable to get my to GPUs working tougether correclty, so I need help somehow. Setup: 96GB RAM, one Blackwell 5000 (48GB) and one 3090 (24GB). I am trying to run the UD-Q3_

One of the interesting properties we’ve observed around schema-guided, complex document extraction tasks 📑 is that coding agent harnesses a…

model-releasesjerry-liu--x

One of the interesting properties we’ve observed around schema-guided, complex document extraction tasks 📑 is that coding agent harnesses are good baselines (in terms of cost/accuracy) for longer docu

Own your harness. I really wish the Claude Code harness was open source. I often think about this, especially now that custom harnesses are …

Own your harness. I really wish the Claude Code harness was open source. I often think about this, especially now that custom harnesses are foundational to AI-native companies. I am now building mostl

model-releasesdair-ai--x

Safety

The evaluation resolution has been shown to have a significant impact on the identification of the 'learning rule' that exhibits the most brain-like characteristics at V1. [R]

The preprint can be accessed via the following link: https://arxiv.org/abs/2608.12408 (q-bio.NC / cs.LG). And for the code: https://github.com/nilsleut/evaluation-resolution-rsa The following assertio

safetyr-machinelearning

Watching that wattage, in your terminal.

Released today: version 1.3 of energygraph Zero build dependencies, lightweight tool for live views of the power-consumption. Version 1.3 adds support for dGPUs from nvidia, intel, amd. Depending on v

WHERE DID THE NAVIGATION ARROWS GO? IS MY INFORMATION JUST GONE?

Where did THESE things go for ChatGPT? Claude has them. I can access older versions of my conversations easily. But with ChatGPT, they just DISAPPEARED. I can no longer regenerate answers or following

model-releasesr-chatgpt

A Standardized Framework for Machine Learning in Power System Protection

model-releasesarxiv-cs-ai

arXiv:2608.20181v1 Announce Type: cross Abstract: Studies of machine-learning-based power-system protection increasingly report near-perfect scores, yet the meaning of those scores depends strongly on

Accelerated Genetic Programming Hyper-Heuristics for Simulation-Based Scheduling via Agentic AI

model-releasesarxiv-cs-ai

arXiv:2608.19487v1 Announce Type: cross Abstract: Python is widely used in scientific research because it enables rapid development and provides rich ecosystems for data analysis, artificial intellige

Anthropic says Mythos 5 is now in public beta in Claude Security for Enterprise users, and it is working with providers to embed Mythos 5 in defensive tools (Claude)

Claude: Anthropic says Mythos 5 is now in public beta in Claude Security for Enterprise users, and it is working with providers to embed Mythos 5 in defensive tools — No items found. — Reading time —

model-releasestechmeme

As we continue to push the frontier of capabilities while improving efficiency, we're dropping API and credit pricing of GPT-5.6 Sol by over…

OpenAI announced on August 21, 2026 that it will reduce API and credit pricing for GPT‑5.6 Sol by more than 20% for the next three months. The price cut is part of the company’s broader effort to push

model-releasesopenai--x

b10531

Revert 'tensor-split meta backend fixes (#26502)' (#27433) This reverts commit d59d455. Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/42012577 macOS/iOS:

b10533

common : gracefully fallback on unsupported regex patterns in JSON schema (#26939) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/42018860 macOS/iOS: macOS

b10534

CUDA: adding switch points per HW and quant type to tune the mvq->MMQ decode crossover (#26079) CUDA: runtime GGML_CUDA_MMVQ_MAX to tune the mvq->MMQ decode crossover Add a runtime override of the mul

b10537

CI: Use LLVM's OpenMP over MSVC_DEBUG_non_redist on Windows (#26678) CI: Use LLVM's OpenMP over MSFT_DEBUG_non_redist on Windows Currently, we ship the non-redist debug version of microsoft's libomp.

b10538

metal : dequant kv cache only for large batches (#27438) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/42031082 macOS/iOS: macOS Apple Silicon (arm64) mac

b10539

vulkan: FA MMQ should use fp32 for Q quantization calculations (#27413) Codex found that qd could be a denorm and 1/qd would overflow. Website: https://llama.app Attestations: https://github.com/ggml-

b10541

mtmd: add --mmproj-device argument (#23255) feat: add --mmproj-device arg & backwards compatible MTMD_BACKEND_DEVICE env var feat: load mmproj device backend immediately, add -mmdev shortflag fix: its

b10545

metal : clamp K extent in tensor API mat-mat kernel for K not a multiple of 32 (#27450) The Tensor API mat-mat path of kernel_mul_mm (GGML_METAL_HAS_TENSOR) fed a static K=32 tile to the matmul2d op o

b10549

TP: enable tensor split for LFM2/LFM2MOE (#26993) Assisted-by: deepseek-v4-flash Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/42096995 macOS/iOS: macOS A

b10566

llama.cpp : bump version to 0.2.0 (#27498) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/42207505 macOS/iOS: macOS Apple Silicon (arm64) macOS Apple Silic

b10567

ci : run ccache-clear as the last step of release jobs (#27503) ci : run ccache-clear as the last step of release jobs Assisted-by: pi:llama.cpp/Qwen3.8-27B update disabled job too to force rebase Co-

Safety

Beyond Multimodal Alignment: Certifying Physical Language through Response Substitution and Ordered Execution

arXiv:2608.19492v1 Announce Type: new Abstract: World models increasingly treat compact multimodal representations as interfaces between perception and physical interaction, yet existing probes do not

safetyarxiv-cs-lg

Research

Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion

arXiv:2608.19567v1 Announce Type: new Abstract: While text-to-3D generation has advanced rapidly, achieving high geometric fidelity at low inference cost remains challenging. Existing text-to-3D metho

researcharxiv-cs-cv

Buying a V100/older NVIDIA GPU? Run this to check for older memory issues

I recently bought a 32GB V100 off eBay and thought I was all set with rudimentary tests showing zero issues. But then I started seeing weird VRAM-related errors in llama.cpp. I sic'ed Claude on it, to

CalcSeg: Confidence-aware 3D Latent Context Curriculum Learning For Myocardial Scar Segmentation From Single-Stack LGE-CMRs

model-releasesarxiv-cs-cv

arXiv:2608.20305v1 Announce Type: new Abstract: Myocardial scar segmentation from single-stack late gadolinium-enhanced cardiac magnetic resonance (LGE-CMR) imaging has been a longstanding and clinica

Can Agent Memory Systems Track Evolving State?

model-releasesarxiv-cs-ai

arXiv:2608.19652v1 Announce Type: new Abstract: As LLM-based agents are deployed for longer and higher-stakes tasks, their memory systems continue to have crucial gaps. While existing memory benchmark

Applications

Clustering and Token Denoising for Faster and More Robust VLMs

arXiv:2608.19285v1 Announce Type: new Abstract: Recent Visual-Language Models (VLMs) have enhanced the capabilities of pre-trained LLMs by adding vision tokens alongside text, with approaches like LLa

applicationsarxiv-cs-cv

Complementary, Not Cumulative: Interaction Effects in Physics-Informed Neural Networks for Navier-Stokes Vortex Shedding

model-releasesarxiv-cs-lg

arXiv:2608.19632v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) embed governing partial differential equations directly into the training loss, offering a promising alternativ