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Latest updates

50 items

Wed, Aug 12

v0.32.10

What's Changed - Models that don't set a `repeat_penalty` now default to 1.0 (off) instead of 1.1, matching other engines and speeding up speculative decoding; set a per-model parameter if an older model repeats itself. - Faster prefill on NVFP4 MLX models with a global scale, about 7–8% on Qwen3.6 and Muse Glimmer. - Fixed blob verification being skipped when an OCI manifest's config and layer share a digest. New Contributors * @vigneshakaviki made their first contribution in https://github.com/ollama/ollama/pull/15504 **Full Changelog**: https://github.com/ollama/ollama/compare/v0.32.8...v0.32.10-rc1

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Some Claude users are mad that Anthropic’s new watermarks will catch them using it at their jobs, classes

Is Anthropic's new watermarking system a travesty? Some have taken to social media to complain that it is.

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Twitch content has trained Amazon AI for years, but users can opt out now

Streaming platform says user-generated content "may be used for future Gen AI model improvements."

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Amazon will train on Twitch streamers’ content by default, unless they opt out

"If this was opt-in, nobody would opt in," Twitch CPO Mike Minton said on a livestream responding to user feedback. "That's honestly the answer."

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Serve Qwen3.8-2.4T-A95B, a 2.4T-Parameter Model, with Configurable Reasoning on NVIDIA GB300 NVL72

Alibaba released the open weights for Qwen3.8-2.4T-A95B (Qwen3.8-Max), its largest open-weight model, bringing near-frontier capabilities to the open...

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AI coding startup Cognition reportedly already in talks to raise at $40B valuation

Cognition may be looking to raise another mega round just a few months after raising $1 billion at a $26 billion valuation.

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Twitch streamers can now opt out from training Amazon’s AI

Twitch users can now opt out of allowing their content to be used to train Amazon's generative AI models. Opting out means that "your streams, VODs, clips, stream chats, and pictures and text on your channel" won't be used in "future training" of an Amazon AI model "whose purpose is to generate or synthesize text, […]

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Scaling AI agents with trustworthy data

Business and technology leaders need no convincing that the time of agentic AI is here. Organizations are rapidly adopting agents, and few executives doubt the technology’s potential to transform work. But many organizations find that realizing the desired return on investment (ROI) from AI hinges on having the right foundation, with inadequate infrastructure and data…

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Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis

Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis

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Guitar company D’Addario admits that AI music was used in a promotional video

After weeks of controversy and speculation, music company D'Addario has admitted that AI, specifically Suno, was used as part of a recent promotional video. For nearly two weeks, the company has denied the allegations, even as evidence piled up against it. It offered various explanations, from low-quality exports, to combinations of plug-ins like Autotune introducing […]

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Putting sign language AI into users’ hands

Introducing sign-language-to-text (SL2T), our breakthrough model powering new sign language features for Deaf and hard of hearing users.

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Azure Content Understanding announces Synchronous Operations | Microsoft Community Hub

Workflow automation scenarios—including grounding AI agents, verifying identities, assisting customers with documents in call centers, and triggering...

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Google’s Pixel Watch 5 dives deeper into AI and health

The $399 Google Pixel Watch 5 isn't about the hardware. Sure, there's a new satin pyrite case finish, a few new strap colors, and a Steph Curry Special Edition. Under the hood, there's a slightly faster Qualcomm processor and an itty-bitty battery bump. There's a $50 price hike from last year, too, because the Pixel […]

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b10375

<details open> chat : tighten bare function parsing for Qwen models (#26793) </details> **Website:** - <https://llama.app> **macOS/iOS:** - macOS Apple Silicon (arm64) - macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED - macOS Intel (x64) - iOS XCFramework **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/

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b10373

<details open> imatrix.cpp: Move finite check and only check touched experts (#26861) </details> **Website:** - <https://llama.app> **macOS/iOS:** - macOS Apple Silicon (arm64) - macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED - macOS Intel (x64) - iOS XCFramework **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/

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From assistance to execution: How enterprises put AI to work

OpenAI research reveals how enterprises are adopting agentic AI, using ChatGPT and Codex, and how frontier firms are pulling ahead in AI adoption.

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b10369

<details open> mtmd: support pocket-tts (#26871) * adapt the api * text model ok * working impl, need verify and clean up * mtmd: build the pocket-tts transposed convolutions as GEMM + col2im ggml_conv_transpose_1d has no grouped mode, so the depthwise upsample was built as one convolution and one concat per channel, which floods the graph with small nodes and makes kernel launches dominate the decoder. Fold both cases into the column form the seanet decoder already needs: the general case reshapes the kernel to [IC, K * OC] and matmuls it with the input, the depthwise case batches a matmul over the channels so a step scales its own kernel. A single col2im_1d then scatter-adds the columns ba

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Agent2Agent (A2A) Protocol: What It Is and How It Works

Google's Agent2Agent (A2A) protocol lets AI agents collaborate across systems. How it works, how it differs from MCP & why it matters for agentic AI.

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4D-WAM: 4D Consistent World Modeling for Autonomous Driving

This public update concerns “4D-WAM: 4D Consistent World Modeling for Autonomous Driving”. Open the original source for capabilities, limitations and impact.

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Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus Theory

This public update concerns “Carefully Considering Culture: Analyzing LLM Alignment in Single- and Multi-Cultural Settings using Cultural Consensus Theory”. Open the original source for capabilities, limitations and impact.

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CurveFP: Rational-Radix Logarithmic Datatypes with Closed Products for Language Models

This public update concerns “CurveFP: Rational-Radix Logarithmic Datatypes with Closed Products for Language Models”. Open the original source for capabilities, limitations and impact.

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LLM Agents Factory: Retrieval of Domain-Specific LLM Agents

This public update concerns “LLM Agents Factory: Retrieval of Domain-Specific LLM Agents”. Open the original source for capabilities, limitations and impact.

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Transformer Geometry Observatory TGO-IV: Developmental Topology Observatory

This public update concerns “Transformer Geometry Observatory TGO-IV: Developmental Topology Observatory”. Open the original source for capabilities, limitations and impact.

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Conflict or Strategy? Asymmetric Role Framing of La France insoumise and Rassemblement National in French News Headlines, 2022-2025

This public update concerns “Conflict or Strategy? Asymmetric Role Framing of La France insoumise and Rassemblement National in French News Headlines, 2022-2025”. Open the original source for capabilities, limitations and impact.

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Uncertainty-Aware Ensemble Deep Randomized Neural Networks for Classification

This public update concerns “Uncertainty-Aware Ensemble Deep Randomized Neural Networks for Classification”. Open the original source for capabilities, limitations and impact.

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Signpost Watermarking: Joint Optimization for Visual Watermark Coexistence

This public update concerns “Signpost Watermarking: Joint Optimization for Visual Watermark Coexistence”. Open the original source for capabilities, limitations and impact.

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v3.0.0

3.0.0 (2026-08-12) ⚠ BREAKING CHANGES * **api:** HTTPX2 is now the default HTTP client, and `httpx` is no longer installed automatically. Applications using custom HTTPX clients, transports, or configuration objects must migrate to their HTTPX2 equivalents or use the temporary, runtime-only legacy HTTPX escape hatch. See the HTTPX2 migration guide. Features * **api:** migrate to HTTPX2 (#3594)

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Saber denies replacing Rideshare Stimulator’s writers with ChatGPT

After a former lead writer claimed Saber "replaced me with ChatGPT," CEO Matthew Karch now claims, "Neither Saber nor Unigine have replaced any writers with AI," for the Rideshare "Stimulator" game announced last month, developed by Unigine. The writer, Stella Sacco, says differently, however, posting on Bluesky that "I was lead writer on this one! […]

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How RingCentral builds AI-native work from engineering to ops

See how RingCentral uses ChatGPT Work and Codex to accelerate AI product development and centralize operational intelligence across engineering and operations.

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Tue, Aug 11

b10362

<details open> tests : disable backend sampler hip multi output (#26878) * test-backend-sampler: skip multi_output_sampling_chain on HIP The new multi_output_sampling_chain test uses top_k, whose backend probs path needs CUB (unavailable on HIP), so sampled_probs is null and the test aborts. Add it to the existing HIP skip list alongside the other TOP_K tests. * ci: keep gpu-rocm logs in a per-run dir keyed by GitHub run id The self-hosted gpu-rocm runner can't upload logs to Azure blob (egress firewalled), so a run's logs were wiped by the next run. Write each run's logs to $OUT/run-<run_id>-<attempt>/ so an Actions run URL maps to its logs. * test-backend-sampler: also skip multi_output_cp

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Accel closes oversubscribed $550M India fund within weeks, 19 months after its last

The U.S. VC firm still has more than 55% of its previous $650 million India fund available for deployment.

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ChatGPT and Gemini both just passed 1 billion users

For the 14th time, a Google product has hit 1 billion users. Google CEO Sundar Pichai posted on X that a billion people are using Gemini every month, and that Gemini is Google's fastest-growing product ever. A billion users is a huge milestone, but Google isn't the first AI app to hit it. OpenAI's ChatGPT […]

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NVIDIA JetPack 7.2.1 Adds Agentic Video Skills and T3000 Emulation

Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media...

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Google’s Gemini app surges to 1 billion users

Google also shared numbers of how people are actually using the chatbot, with 63% of Gemini users talking directly to the assistant using the voice feature. Plus, Gemini now generates more than 150 million images every day, according to Google.

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v2.54.0

2.54.0 (2026-08-11) Features * **api:** Add new Responses model identifiers (#3595) (0652787) Bug Fixes * **api:** clarify audio upload metadata requirements (#3596) (28888f9) Chores * **api:** Update generated-file header attribution to Castiron (#3583) ([ea17fda](htt

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Another OpenAI executive takes off

Brad Lightcap, OpenAI's special projects lead and the company's former COO, announced his departure after an eight-year stint at the AI lab. In an internal memo he later posted to X, Lightcap told colleagues he'd be starting "something new." "Over the last few months, I've been focused on the next horizon and what would stand […]

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b10361

<details open> model : fix SWA not being enabled for EXAONE 4.5 (#26848) * model : fix SWA not being enabled for EXAONE 4.5 load_arch_hparams tests `hparams.n_layer() == 64` before LLM_KV_NEXTN_PREDICT_LAYERS has been read. n_layer() returns n_layer_all - n_layer_nextn and n_layer_nextn defaults to 0, so a GGUF carrying the MTP head (block_count=65, nextn=1) evaluates to 65 and the whole SWA block is skipped. The model type switch further down in the same function reads 64, because by then the key has been loaded. n_swa is still filled in by the unconditional get_key below the block, so llama_model_n_swa() reports 4096 and the logs look correct while only swa_type stays LLAMA_SWA_TYPE_NONE.

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More than 1 billion people are using the Gemini app every month.

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/1BSS.max-600x600.format-webp.webp">The Gemini app has officially surpassed 1 billion monthly users, making it the fastest-growing product in Google’s history. Here’s some data about how people are using G…

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v0.32.9

NVIDIA Nemotron 3.5 Lightning NVIDIA Nemotron 3.5 Lightning is an open 30B mixture-of-experts (MoE) model with 3B active parameters built for that execution layer of always-on agents. It is designed for harnesses like OpenClaw and Hermes Agent – all supported by the NVIDIA NemoClaw open source security and management stack for running always-on AI agents. ``` ollama run nemotron-3.5-lightning ``` What's Changed * Added the Nemotron 3 architecture * Handle boundary condition in Muse Glimmer function calling parser **Full Changelog**: https://github.com/ollama/ollama/compare/v0.32.8...v0.32.9

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b10360

<details open> common/peg : suppress incomplete escape sequences (#26780) </details> **Website:** - <https://llama.app> **macOS/iOS:** - macOS Apple Silicon (arm64) - macOS Apple Silicon (arm64, KleidiAI enabled) DISABLED - macOS Intel (x64) - iOS XCFramework **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b10

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NVIDIA Nemotron 3.5 Lightning Delivers Fast, Accurate Specialized Task Execution for Long-Running Agents

Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning...

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Route AI Agent Workloads Across Models with NVIDIA NeMo Switchyard

Building an AI agent does not end with choosing a single model. Each model has its own strengths, weaknesses, and cost profile, which can shift from one...

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v0.27.1

This is a patch release on top of v0.27.0. - Support quantized DSpark Markov heads (#50424)

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