model releases

Web search for a 1.7B model running fully on a phone, no search API and no backend (open source)

We just shipped web search in Private Mind, our open source app for running LLMs locally on iOS and Android. The video is the whole pitch: Qwen 3 1.7B with web off makes up Apple's September event, wi

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Model Releases

Welcome to Mistral, New Material. Let’s bring design to mission-critical AI.

DGX agent

Welcome to Mistral, New Material. Let’s bring design to mission-critical AI. New Material joins @MistralAI to design the frontier. Over the last 6 years we've teamed up with ambitious organisations tr

model-releasesmistral-ai--x

14 Oct 2026

What a Data Release Must Preserve for Off-Policy Evaluation

arXiv:2610.15283v1 Announce Type: cross Abstract: In off-policy evaluation, merging decision-time histories that matter differently for a specified policy value or comparison can make that evaluation

What AI Safety needs is better tooling and engineering. For instance, building stronger red-teaming tools. Great to see this open-source eff…

What AI Safety needs is better tooling and engineering. For instance, building stronger red-teaming tools. Great to see this open-source effort to red-team image models. It seems to learn better ways

model-releasesdair-ai--x

What Can Language Models Inherit from Solomonoff Induction? Limits, Attainable Properties, and What Served Conditionals Reveal

arXiv:2610.14007v1 Announce Type: new Abstract: A familiar line of reasoning runs as follows: language models are flexible approximators trained under a strictly proper loss, so scale brings them clos

What did @AnthropicAI do with his latest Claude Desktop update? I feel like there was a major system prompt/harness upgrade here. Opus 5.5 f…

model-releasesboris-cherny--x

On October 14, 2026 Chad Moran posted a question on Twitter about AnthropicAI’s latest Claude Desktop update, noting what appeared to be a major system‑prompt or harness upgrade that made Opus 5.5 loo

What Drives AI Citations? Content, Retrieval and Model Knowledge in Generative Engine Optimization (GEO)

arXiv:2610.15033v1 Announce Type: cross Abstract: Generative search engines such as ChatGPT, Gemini and Perplexity now decide which Web pages users see as sources, and a growing industry of generative

What Matters in Quality-Aware VLA Pretraining: A Benchmark and Empirical Study

arXiv:2610.18869v1 Announce Type: cross Abstract: How should demonstration quality be used during vision-language-action (VLA) pretraining to improve performance after target-task fine-tuning? We comp

Who Sets the Pace of Judge Hacking? Judge Capability versus the Policy-Judge Gap

arXiv:2610.15778v1 Announce Type: new Abstract: When a policy is trained with GRPO against a frozen, reference-free LLM judge, the judge accepts more of its answers, but in a post-hoc analysis we dete

Who to Trust in Multi-Robot Systems: Joint Robot and Object Hypothesis Trust Inference via Neural-Symbolic Cross-Validation

model-releasesarxiv-cs-ro

arXiv:2610.14530v1 Announce Type: new Abstract: Multi-robot systems (MRS) offer significant advantages over single-robot platforms by enabling information sharing and coordination for different tasks

WildTrace: Evaluating Training Data Detection in Realistic Large-Scale LLM Post-Training

arXiv:2610.16152v1 Announce Type: new Abstract: Although post-training significantly enhances model performance, the use of massive undisclosed data raises concerns about benchmark contamination and c

WIRE: Weight Space Implicit Representation Encoding of Frozen Video LLMs

arXiv:2610.17355v1 Announce Type: new Abstract: Video language models represent a video as a long sequence of visual embeddings in a decoder's input. Every visual embedding is processed by every decod

WireCraft: A Simulation Benchmark for Industrial DLO Manipulation

model-releasesarxiv-cs-ro

arXiv:2606.18097v2 Announce Type: replace Abstract: Deformable Linear Objects (DLOs), such as wires and cables, are central to industrial assembly. Unlike rigid objects, whose state is captured by a 6

World-T3: Test-Time Training as Persistent Memory for Real-Time Video World Models

arXiv:2610.17434v1 Announce Type: new Abstract: Recent advances in video world models have enabled plausible interactive environments, yet long-horizon generation places a fundamental demand on visual

WorldOracle: Benchmarking Action-Conditioned World Models against Real-World Executions

arXiv:2610.18826v1 Announce Type: cross Abstract: We introduce WorldOracle, a benchmark specifically designed to evaluate action-conditioned world models (ACWMs) against paired real-world executions.

WUSPruner: Second-Moment-Optimal Transforms for Structured Pruning

arXiv:2610.15394v1 Announce Type: new Abstract: Structured pruning is typically formulated as identifying which model dimensions to remove, often within the model's original representation. However, t

XForecast: The KDD 2026 Finance Day Challenge on News-Grounded Financial Forecasting

arXiv:2610.16131v1 Announce Type: new Abstract: Financial forecasting has traditionally relied on numerical time-series (TS) signals, while textual information such as news remains largely underutiliz

YOUDrive: Driving Style as a Composable Direction for End-to-End Autonomous Driving

arXiv:2610.14802v1 Announce Type: new Abstract: End-to-end driving policies can achieve strong task performance while offering limited control over their driving style. Driving style describes how a v

YouTube Music rolls out labels for songs created with the help of AI; Spotify has AI labels, and Apple Music plans to add 'Made With AI' labels later this year (Lauren Forristal/TechCrunch)

Lauren Forristal / TechCrunch: YouTube Music rolls out labels for songs created with the help of AI; Spotify has AI labels, and Apple Music plans to add “Made With AI” labels later this year — YouTube

model-releasestechmeme

YUBI-Real2Sim: 3DGS Scene Verification for Reliable Policy Evaluation

model-releasesarxiv-cs-ro

arXiv:2610.17521v1 Announce Type: new Abstract: Evaluating VLA policies on real robots is costly, time-consuming, and difficult to reproduce, making real-to-sim simulation essential for scalable evalu

Zeroth-Order Fine-Tuning of LLMs in Learnable Low-Rank Subspaces

arXiv:2610.15225v1 Announce Type: new Abstract: Zeroth-order (ZO) optimization enables memory-efficient fine-tuning of large language models (LLMs). However, ZO optimization suffers from high variance

ZOIF: Zeroth-Order Influence Function Estimation for LLM Data Selection Using Only Forward Passes

arXiv:2610.15336v1 Announce Type: new Abstract: Influence functions enable principled data selection for large language models (e.g., identifying influential training samples for model editing, debugg

zPocket: Better Pocket Finding with Frozen Co-Folding Features

arXiv:2610.17696v1 Announce Type: new Abstract: Identifying protein-ligand binding sites (pockets) is important for understanding protein function and developing drugs. However, no public method has l

4x 6000 Pro for the company

Here is how i serve 40 people (10 of them developers) with local AI services. n8n for automatisation whisper and Vexa AI, a bot joins Teams and makes transcripts, n8n later extracts decisions and todo

After much testing and talking to actual users across all three proactive AI agents: Muse - best one for your parents, heavy IG/FB users, pe…

model-releasesallie-k--miller--x

After much testing and talking to actual users across all three proactive AI agents: Muse - best one for your parents, heavy IG/FB users, people who like or need easy setups, people who don’t want to

An 80B MoE (Qwen3-Next, 48 GB GGUF) answering in a Chrome tab: llama.cpp's WebGPU backend, experts paged in from disk

Follow-up to last week's post about streaming MoE experts from disk in a browser tab. That ran on hand-written engines for two models. This week the same disk tier sits under llama.cpp's own WebGPU ba

Anthropic details Scion, a git replacement for its monorepo, built by seven engineers with Claude in five months, as daily merges rose from 2.5K in May to 30K+ (Anthropic)

Anthropic: Anthropic details Scion, a git replacement for its monorepo, built by seven engineers with Claude in five months, as daily merges rose from 2.5K in May to 30K+ — As our merges per day grew

model-releasestechmeme

b11580

hexagon: extend scalar DMA broadcasting support for binary ops (#30245) tests: cover weighted scalar broadcasts Assisted-by: OpenCode ggml : support extended scalar DMA binary ops Assisted-by: OpenCod

b11581

models : remove redundant ggml_cont calls now supported by all unary kernels (#30198) models: remove redundant ggml_cont calls now supported by CUDA unary kernels models: restore cont_2d after sigmoid

b11582

ggml-zdnn : introduce Q8_0 mat mul (#29836) ggml-zdnn: initial prototype of q8_0 matmul Signed-off-by: Aaron Teo aaron.teo1@ibm.com docs: update zdnn docs Signed-off-by: Aaron Teo aaron.teo1@ibm.com S

b11583

graph : avoid reallocations in the 'no cache' path (#30439) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/55354972 macOS/iOS: macOS Apple Silicon (arm64)

b11592

cuda : add GGML_CUDA_GRAPH_DEBUG and read env vars once (#30327) ggml-cuda: gate CUDA graph debug logs behind GGML_CUDA_GRAPH_DEBUG ggml-cuda: cache env var lookups in static const instead of re-readi

b11594

vulkan: allow multiple devices to access gpu-visible host memory (#29741) vulkan: allow multiple devices to access gpu-visible host memory clean up erroneous newlines add Windows support handle nullpt

b11596

tests : consolidate context state tests into test-llama-context (#30023) tests : consolidate the context state tests into test-llama-context test-save-load-state, test-recurrent-state-rollback and tes

b11597

graph: skip the LM head for pooled embeddings (#30445) graph: skip the LM head for pooled embeddings A context that extracts pooled embeddings outputs one vector per sequence, but every model still ex

b11598

model: load YaRN beta metadata for laguna models (#30331) Assisted-by: Codex Co-authored-by: Adam Caldwell accaldwell@users.noreply.github.com Website: https://llama.app Attestations: https://github.c

b11599: llama : do not map foreign ranges into a backend buffer (#30405)

llama : do not map foreign ranges into a backend buffer A buffer created from a host pointer pins everything that it wraps. When several contexts share the same file (lazy tensors, MoE tensors kept on

b11600

graph: pad the KQ bias of the no-cache attention (#30446) The no-cache attention pads K, V and the mask to 256, but T5 also adds a relative position bias of [n_tokens, n_tokens], so the add with KQ fa

b11601

hexagon: add configurable HTP DCVS/HMX power mode (#30423) hexagon: add configurable HTP DCVS/HMX power mode hexagon: address PR review feedback (drop CLI flag, align QAIRT power modes, comment/log cl

b11602

meta: recreate all subgraphs when the arena is reallocated (#30453) meta: recreate all subgraphs when the arena is reallocated chore: revert added test cases Website: https://llama.app Attestations: h

b11603

vulkan: Optimize pool_2d when the pooling window is large (#30119) When the window is larger than a subgroup, use a whole subgroup to compute each output. Website: https://llama.app Attestations: http

b11604

kleidiai: add SME2 Q4_K and Q6_K matmul support (#29219) Change-Id: Ib4aa4c9814c010f9cf084783cc80612e364f9a27 Change-Id: I406a6606c3fea51f8cd32331c1ed71466845d363 Change-Id: Ib4aa4c9814c010f9cf084783c

b11606

ggml : simplify backend search path error handling (#28367) Signed-off-by: Adrien Gallouët angt@huggingface.co Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestatio

Banger paper from Google DeepMind on co-evolving an agent's harness and its weights. (bookmark it) If you already log your harness changes a…

Banger paper from Google DeepMind on co-evolving an agent's harness and its weights. (bookmark it) If you already log your harness changes and results, those logs can become training data for the mode

model-releasesdair-ai--x

Basalt: Fast Blackwell inference engine for Qwen 3.8 Flash Next (and how we got vision for free)

Dynamic vision, in action Basalt is an inference engine for 3.8 Flash Next, forked from Strata and heavily tuned for Blackwell. It supports vision, and for this to work you need to have the image enco

Based on advice from LocalLLama implemented a n+2 lookahead prediction for ssd streaming Qwen Flash Next - and it worked!

My project is optimising qwen flash next on Mac Mini m5 64gb through SSD streaming. I recently asked LocalLLama for guidance on how to optimise token output. Today a popular method to do this is a loo

Built a VRAM scheduler (vramble) to automate model swapping on my local AI workstation

I set up a dedicated workstation for local AI experimentation with various models and tools. But every single one of them wants all the available VRAM. To fix this, I built a request dispatching layer

Built an open-source Cotypist/Granola hybrid: autocomplete on Gemma 4 E2B (~50 ms/suggestion on M4 Max) using your own meeting notes as context

I built a desktop app harness that keeps local meeting notes and can use them to autocomplete my typing as well as complement my dictation with additional context via reading my screen or using the pr