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Anthropic debuts Claude Sonnet 5.5 running 30% faster than the previous-generation AI model

model-releasessiliconangle

Anthropic PBC today announced the launch of Claude Sonnet 5.5, the most capable mid-tier model in the company’s AI family, designed for everyday tasks and a clear upgrade over the previous generation,

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Model Releases

Anthropic releases Sonnet 5.5, saying it generates outputs 30%+ faster than Sonnet 5 and costs up to 30% less per task, and plans to release Haiku 5.5 soon (Anthropic)

DGX agent

Anthropic: Anthropic releases Sonnet 5.5, saying it generates outputs 30%+ faster than Sonnet 5 and costs up to 30% less per task, and plans to release Haiku 5.5 soon — Sonnet 5.5 is a faster, lower-c

model-releasestechmeme

28 Sept 2026

Anthropic's discovery of array-associated reverse transcriptases? Turns out it was already done by a Danish scientist. He used Claude for ad…

model-releasesgary-marcus--x

Anthropic's discovery of array-associated reverse transcriptases? Turns out it was already done by a Danish scientist. He used Claude for administrative tasks, but not in an agentic manner for the dis

Anyone customizing and Optimizing llama.cpp per model?

model-releasesr-localllama

Basically the idea is take your favorite model, for example qwen3.8-27b or say dsv4vision. Strip everything out that is not needed by that model so the only thing needed is just for the model. Optimiz

Apropos NVidia’s agent trust framework, anybody remember NemoClaw? Anyone using it?

model-releasesgary-marcus--x

Apropos NVidia’s agent trust framework, anybody remember NemoClaw? Anyone using it? Introducing the NemoClaw Deep Agents Blueprint, a reference architecture for building open agent systems developed w

Are you a Codex Original?

We’re collecting real stories of builders, tinkerers, researchers, and creators who are using Codex to do incredible things. If you want to be a part of the next chapter of the Codex Originals program

model-releasesopenai

Artificial Analysis launches the Cyber Index Alliance with partners Collinear, IBM, Nvidia, and Vercel to evaluate how AI agents find and fix vulnerabilities (Artificial Analysis)

Artificial Analysis: Artificial Analysis launches the Cyber Index Alliance with partners Collinear, IBM, Nvidia, and Vercel to evaluate how AI agents find and fix vulnerabilities — The Artificial Anal

model-releasestechmeme

Atelier Prompt Studio 2.0 beta — a free local prompt crafter for new images, edits, and movement descriptions

model-releasesr-stablediffusion

I shared the first version here as a prompt builder for Qwen image editing. I've been expanding it into something more useful for visual prompting in general, and the 2.0 beta is ready to try. It's a

Atlases Are Already Inside: Recovering Population Templates from Pretrained Diffusion Models

model-releasesarxiv-cs-cv

arXiv:2609.30566v1 Announce Type: new Abstract: We present a new inference-time sampler for diffusion models that gives a pretrained model a capability it was never trained for: constructing the atlas

Attribution Bias in Large Language Models

arXiv:2604.05224v2 Announce Type: replace Abstract: As Large Language Models (LLMs) are increasingly used to support search and information retrieval, it is critical that they accurately attribute con

Auditing and Repairing LLM-as-Judge Failures in a Production Text-to-SQL Pipeline

model-releasesarxiv-cs-cl

arXiv:2609.30290v1 Announce Type: new Abstract: Production text-to-SQL pipelines often end with an LLM-as-judge whose agreement with human annotators has never actually been measured. When we checked

AuthGuard-R: Safety-Compliant Mission Hijacking and Dual-Gate Defense for LLM-Controlled Robots

model-releasesarxiv-cs-ro

arXiv:2609.31110v1 Announce Type: new Abstract: Large language models are increasingly used as high-level planners for mobile robots, robot manipulators, and autonomous vehicles. Recent studies show t

b11224

vulkan: fix wrong results when a mul_mat reads a slice of a larger cache (#28956) vulkan: read the batch stride of an in place src0 from nb[2] A dim01 contiguous tensor can still be a view whose batch

b11225

tests : fix ggml init (#29554) tests : init ggml for test-recurrent-state-rollback cont : same for test-save-load-state cont : add to test-state-restore-fragmented + add TODOs Website: https://llama.a

b11226

Enables Windows ARM64 build with MSVC cl.exe (#28362) can reproduce the issue vlad sees fix fma issue drop volatile fix volatile runtime task add arm flag if needed fix hsum compile error fix syntax i

b11227

context : do not re-reserve the scheduler when toggling causal_attn (#28751) context : do not re-reserve the scheduler when toggling causal_attn llama_context::set_causal_attn() marks the scheduler to

b11228

metal: support left and circular padding in GGML_OP_PAD (#29561) metal: support left and circular padding in GGML_OP_PAD Align Metal with CPU, CUDA and Vulkan: shift the source coordinates by the left

b11229

HIP: fix template skip for DKQ > 256 mfma kernels (#29559) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/50767985 macOS/iOS: macOS Apple Silicon (arm64) m

b11232

ggml-cpu: enable tiled flash attention for non-vector-multiple head dims on x86 (#29423) ggml-cpu: enable tiled flash attention for non-vector-multiple head dims on x86 add AVX2 support for masked loa

b11233

tests : refactor test-recurrent-state-rollback (#29426) tests : use llama_context_ptr in test-recurrent-state-rollback Replace raw llama_context pointers with llama_context_ptr and drop the manual lla

b11234

webgpu: Handle unaligned writes in ggml_backend_webgpu_buffer_set_tensor (#29471) Fix: Handle unaligned writes in ggml_backend_webgpu_buffer_set_tensor Clang formatting Website: https://llama.app Atte

b11235

common : fix HF cache paths on Windows (#29475) Supersedes #29158 Signed-off-by: Adrien Gallouët angt@huggingface.co Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/atte

b11236

batch: migrate speculative, mtmd and server to batch_ext (#29385) adapt common add common_batch wip wip: spec cont common_speculative_process server_batch to use common_batch rm some stale calls Assis

b11237

ggml-openvino: mark unaligned batch-stride views unsupported (#29603) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/50908876 macOS/iOS: macOS Apple Silico

b11238

models: pad on the left with ggml_pad_ext (#29567) models: pad on the left with ggml_pad_ext The Parakeet, LFM2-Audio, Granite Speech and Gemma 4 audio encoders build a left padding as a right pad fol

b11239

vulkan: include functional header (#29597) Fixes the compile error: no template named 'function' in namespace 'std' Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attes

b11240

server : support typed content (vision/audio/video) input for /v1/embeddings endpoint (#29556) server : support multimodal input for /v1/embeddings (Qwen3-VL-Embedding) Accept the OpenAI-style wrapped

b11242

mtmd: fix GCC 15 stringop-overflow in decode_embd_batch (#29607) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/50949667 macOS/iOS: macOS Apple Silicon (ar

BabelCoder: Agentic Code Translation with Specification Alignment

arXiv:2512.06902v2 Announce Type: replace-cross Abstract: As software systems evolve, developers increasingly work across multiple programming languages and often face the need to migrate code from on

Backbone-Adaptive Evidence Routing for Robust Pairwise LLM Judging

arXiv:2609.30751v1 Announce Type: new Abstract: Pairwise language-model judges can gather evidence through direct comparison, reasoning, or reference-based verification, but no single protocol is best

Banger paper from Microsoft Research. (bookmark it) They run 1K+ coding agents at once to test a scalable self-organized multi-agent harness…

Banger paper from Microsoft Research. (bookmark it) They run 1K+ coding agents at once to test a scalable self-organized multi-agent harness. This is an interesting test because most multi-agent syste

model-releasesdair-ai--x

BAT-CLIP: Trimodal Alignment of Brain, Audio and Text

arXiv:2609.31180v1 Announce Type: cross Abstract: Decoding and interpreting naturalistic speech from the brain increasingly relies on alignment to pretrained speech and language representation spaces.

BeatGraph: Self-Supervised Heartbeat Graphs for Infant ECG Representations from the Home Environment

arXiv:2609.31546v1 Announce Type: new Abstract: Electrocardiogram (ECG) foundation models typically tokenize the signal into fixed-length patches that ignore cardiac structure, so a patch may split a

Benchmarking Attention for Tabular Foundation Models

arXiv:2609.31306v1 Announce Type: new Abstract: Tabular in-context learners such as TabPFN, Mitra, or ConTextTab rely on alternating row and column attention over 2D sequences of latent embeddings. Th

Benchmarking the Connectomes of Caenorhabditis elegans within the Reservoir Computing Framework

arXiv:2609.30508v1 Announce Type: new Abstract: The aim of this work is to examine the connectomes of Caenorhabditis elegans through a computational lens using the reservoir computing framework. Conne

Benchy: towards a universal language for task-oriented AI benchmarks

arXiv:2609.30550v1 Announce Type: new Abstract: Benchy is a semantic language and execution engine for benchmarking AI programs. A benchmark is completely specified by a program, a scoring function, a

Beyond Mean Attention: Diversity-Aware, Layer-Wise Scoring for KV Cache Eviction

model-releasesarxiv-cs-cl

arXiv:2609.30738v1 Announce Type: new Abstract: KV cache eviction methods such as SnapKV and PyramidKV rank tokens solely by mean attention over a small observation window. We study a unified score, m

BioEVAL: A global, multi-institutional benchmark of large language and multimodal models for bioengineering

arXiv:2609.30489v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated historic breakthroughs in general reasoning with early successes in biomedical science. However, existing

Browser demo of our Clash Royale RL environment: a 5.6k-parameter REINFORCE policy learns defensive placement against a brute-force optimum [P]

model-releasesr-machinelearning

Yesterday I shared our open-source Clash Royale simulator and its recurrent PPO agent here. A training loop is easier to understand when you can watch it, so we put a small interactive version online:

Can Linguistic Reasoning Vectors Enhance Multimodal Reasoning Ability?

arXiv:2609.31140v1 Announce Type: new Abstract: Most Vision-Language Models (VLMs) are built by extending pretrained Large Language Models (LLMs) with visual modules and multimodal alignment. However,

Can Pixels Alone Reveal Image Origin? Minimax Limits and Learnable Interfaces for Passive Provenance

arXiv:2609.30997v1 Announce Type: cross Abstract: Passive image provenance asks whether pixels alone can reveal where an image came from: a human, an aggregate AI class, or a particular generator. Thi

Cartograph: Federated Tool Discovery with Operator-Attested Retrieval for AI Agents

arXiv:2609.30293v1 Announce Type: cross Abstract: The Model Context Protocol (MCP) enables AI agents to discover and call tools, but loading every definition becomes expensive as connected catalogs gr

Causal Retention in Interactive Agents: Interface Factorization and Selective Adaptation

arXiv:2609.30650v1 Announce Type: cross Abstract: Task performance need not determine which intervention mechanism an agent retains. We study causal retention: whether a frozen learned state answers a

Causeway: Restoring Task Accessibility for Instruction Switching in VLA Policies

model-releasesarxiv-cs-ro

arXiv:2609.30913v1 Announce Type: new Abstract: Vision-language-action (VLA) policies can execute many tasks from standard initial states, yet a new instruction may fail after another task has altered

CCRV-Bench: Constraint-Based Evaluation of Causal Reasoning in Vision-Language Models

model-releasesarxiv-cs-cv

arXiv:2609.30979v1 Announce Type: new Abstract: Vision-language models (VLMs) have demonstrated excellent performance in visual tasks, but their visual causal reasoning capabilities still lack reliabl

CG-HAF: An Interpretable Global-Local Lesion-Burden Fusion Framework for Ordinal Acne Severity Grading in Agentic Skincare Support

arXiv:2609.31326v1 Announce Type: cross Abstract: Ordinal acne severity grading requires distinguishing visually similar neighboring grades while jointly weighing holistic facial appearance and locali

ChemMLLM: Chemical Multimodal Large Language Model

arXiv:2505.16326v3 Announce Type: replace Abstract: Recent years have seen rapid progress in multimodal large language models (MLLMs) in the field of chemistry. However, chemical MLLMs that can handle

Claude Opus 5.0 identified the IP-sharing route and declined to use it, reading our instruction not to target other external systems as ruli…

model-releasesperplexity--x

Claude Opus 5.0 identified the IP-sharing route and declined to use it, reading our instruction not to target other external systems as ruling out third-party services. Fable and GPT-6 Astra refused t