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m-a-p/YuE2-3B — new model trending #30 on Hugging Face

M-A-P released YuE2-3B, an open music generation model that outperforms Suno v5 on WildSongBench and runs locally on a 24GB GPU.

The M-A-P (multimodal-art-projection) team released YuE2-3B, an open-weights music generation model that turns lyrics and a style prompt into full songs with vocals and accompaniment. It uses an AR-NAR Mixture-of-Transformers backbone with symbolic planning and flow matching through a VAE, and supports editable scores (melody and chords, including ABC notation) plus agentic editing workflows. On 192 WildSongBench prompts it reports a SongBench average of 6.9632 (best-of-8) versus 6.8721 for Suno v5, claimed as state of the art among evaluated open and proprietary models. It runs 48 kHz stereo inference locally on a single 24GB NVIDIA GPU without quantization, with companion releases including YuE2-Vae, MERT-v2 encoders, the WildSongBench dataset, and SheetSage2.

Hugging Face trending modelsupdated · 4d agofirst · 6d agoModel release 7 sources1

Russian APT BlueDelta Uses HOOKEDGE to Target Defense and Diplomatic Organizations

Russian GRU-linked BlueDelta (APT28) deployed HOOKEDGE backdoor via macro Word lures against European governments using webhook.site and Microsoft Edge for stealthy C2.

Recorded Future's Insikt Group documented a BlueDelta (APT28/Fancy Bear/Forest Blizzard) espionage campaign from late September 2025 through early April 2026 targeting government and diplomatic organizations in Romania, Spain and Türkiye. The group delivered HOOKEDGE, a lightweight Windows batch-script backdoor, via macro-enabled Word documents with diplomatic lures, including one impersonating Spain's Ministry of the Presidency after a Spanish-Moldovan meeting. HOOKEDGE uses webhook.site as C2, a scheduled task every 30 minutes that downloads commands through Microsoft Edge, and canary pixels like docopened.jpg to track phishing funnel progress. A second tier with 5-minute check-ins served high-value victims, and beaconing intervals were stretched to 61 minutes to evade sandboxes; code overlap ties HOOKEDGE to BlueDelta's earlier HEADLACE backdoor.

Security Affairs · 19d agoThreat actor in the wild1

IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license

IBM released Granite Time Series PatchTST-FM-r2, a claimed state-of-the-art time series foundation model under a commercial-friendly license.

IBM Research announced the release of Granite Time Series PatchTST-FM-r2, published via the Hugging Face blog. The model is presented as state-of-the-art for time-series forecasting and is offered under a license permitting commercial use. No benchmark numbers or model size details were provided in the available text.

Hugging Face Blog · 7d agoModel release

BlueDelta Targets Defense and Diplomacy with HOOKEDGE

Recorded Future reports Russian state-sponsored group BlueDelta deploying the HOOKEDGE backdoor against European defense and diplomatic organizations.

Recorded Future research reports that BlueDelta, a Russian state-sponsored threat group, is using the HOOKEDGE backdoor in campaigns targeting defense and diplomatic organizations across Europe. The disclosure details the group's use of the backdoor in espionage-focused operations against high-value government and military targets.

Recorded Future · 20d agoThreat actor in the wild

openbmb/MiniCPM5-2B — new model trending #4 on Hugging Face

OpenBMB released MiniCPM5-2B, a dense 2B open-weights Transformer claiming 2B-class open-source SOTA for on-device deployment.

OpenBMB released MiniCPM5-2B, the second model in the MiniCPM5 series following MiniCPM5-1B, and it is trending #4 on Hugging Face. The dense 2B Transformer targets on-device, local, and resource-constrained deployment and claims 2B-class open-source SOTA while remaining competitive with 4B-class models. Reported strengths include coding, mathematics, long-context understanding, tool use, and agentic tasks; a tech report (arXiv 2506.07900), GitHub repo, and online demo accompany the release.

Hugging Face trending models · 10d agoModel release

APT28-Linked HOOKEDGE Backdoor Targets European Government and Diplomatic Organizations

Recorded Future links new HOOKEDGE batch-script backdoor campaigns against Romanian, Spanish and Turkish government targets to Russia's APT28 (BlueDelta).

Recorded Future's Insikt Group identified campaigns deploying the previously undocumented HOOKEDGE backdoor against government and diplomatic organizations in Romania, Spain and Türkiye from late September 2025 to early April 2026. The lightweight Windows batch backdoor is delivered via macro-enabled Word documents and attributed with moderate confidence to APT28 (Fancy Bear, tracked as BlueDelta), described as the evolutionary successor to HEADLACE, using webhook.site for C2, payload staging and exfiltration. HOOKEDGE fetches .cmd payloads and returns output through headless Microsoft Edge HTTP requests, maintains a 30-minute scheduled task, and a second-stage implant gives high-value targets five-minute beaconing for interactive operator tasking.

The Hacker News · 19d agoThreat actor in the wild

Real-Time Intelligence with IBM Time Series Models on Confluent

IBM Research post on the Hugging Face blog describes running IBM time series models on Confluent for real-time intelligence.

Hugging Face's blog published an IBM Research post titled 'Real-Time Intelligence with IBM Time Series Models on Confluent.' No article body was available for classification, so details are limited to the title. The title indicates guidance on deploying IBM time series models alongside Confluent streaming infrastructure for real-time analytics.

Hugging Face Blog · 14d agoAI tools & infra

Risky Bulletin: Two TeamPCP members arrested in Australia

Australian Federal Police arrested two alleged TeamPCP members behind supply-chain worm attacks that stole over 500,000 credentials from compromised open-source libraries.

The AFP arrested alleged TeamPCP leader Ruben Thomson, 21, and Louis Gaebler, 23, near Perth; both were charged and remain in custody. The group inserted a self-spreading credential-stealing worm into open-source projects including Trivy, KICS, LiteLLM, and Telnyx, harvesting more than 500,000 credentials used for network access, ransomware, extortion, and sales. About 78,000 tokens and secrets from nearly 2,200 organizations leaked online last month, and the FBI supported the investigation that began in April.

Risky Business News · 19d agoPolicy & legal in the wild1

openbmb/MiniCPM5-2B-GGUF — new model trending #30 on Hugging Face

OpenBMB released MiniCPM5-2B, a dense 2B on-device model claiming open-source SOTA among 2B-class models.

OpenBMB released MiniCPM5-2B, the second model in the MiniCPM5 series following MiniCPM5-1B, as a dense 2B Transformer built for on-device and resource-constrained deployment with GGUF weights on Hugging Face. The team claims 2B-class open-source state-of-the-art performance, remaining competitive with 4B-class models in coding, mathematics, long-context understanding, tool use and agentic tasks. The release includes a tech report, GitHub repository and online demo, and is currently trending on Hugging Face.

Hugging Face trending models · 11d agoModel release1

Hackers target Ukrainian agency managing assets seized from sanctioned Russians

Ukraine's ARMA asset agency reported a cyberattack amid selecting a manager for seized IDS Ukraine assets linked to sanctioned Russians.

Ukraine's Asset Recovery and Management Agency (ARMA), which manages assets seized from criminals and sanctioned individuals, said Tuesday it had been targeted by a cyberattack, with the SBU investigating. The attack coincided with preparations to select a manager for seized corporate rights in IDS Ukraine, a major beverage producer seized in late 2022 from Russian shareholders including sanctioned billionaire Mikhail Fridman. ARMA reported other suspected interference since spring, including unauthorized access to an internal database of agency officials, but did not attribute the attack or release technical details. In April, ARMA employees were targeted in a cyberespionage campaign attributed to Russia-linked APT28, which failed to penetrate internal systems.

The Record · 29d agoData breach

Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization

ModerationBench shows foundation models can nearly triple Bluesky's moderation F1 (0.60 vs 0.22), with instruction- and example-driven guidance performing comparably.

Researchers built ModerationBench, a new benchmark of 4,000 manually annotated in-the-wild posts from Bluesky, to test whether foundation models can reliably operationalize content moderation policies. They systematically compare instruction-driven guidance (reasoning from policy precepts) with example-driven guidance (generalizing from precedents) for Vision-Language Models. Both paradigms achieve comparable peak effectiveness, and foundation models nearly triple the F1 of Bluesky's deployed moderation system on Random Posts (0.60 vs 0.22).

arXiv cs.AI / cs.LG / cs.CL · 7d agoAI research1

State of Open Models: Summer 2026 Observations

Hugging Face publishes observations on the state of the open-weights model ecosystem as of summer 2026.

A Hugging Face blog post titled 'State of Open Models: Summer 2026 Observations' surveys developments across the open-weights model ecosystem. No article text was available, so specific model releases, benchmarks, and findings are not detailed here.

Hugging Face Blog · Aug 14, 2026AI industry

llm 0.35

llm CLI tool version 0.35 adds support for OpenAI's new GPT-6 Astra model exposed as gpt-6-astra.

Simon Willison released llm 0.35, which adds an OpenAI model definition for GPT-6 Astra under the model ID gpt-6-astra. No other release details were provided in the post.

Simon Willison · 8d agoAI tools & infra

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models

A controlled autoregressive testbed shows validation losses must be analyzed per task, and image tokenizer choice affects joint multimodal text modeling.

Researchers built a pure-autoregressive testbed to study image tokenizers as the 'visual language' of unified multimodal models, tracking task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They found that losses exhibit distinct scaling behavior per task and rank tokenizers differently, and that I2T loss over a shared text vocabulary gives a more consistent loss–performance signal than T2I loss. Better reconstruction does not necessarily yield lower task-specific losses or stronger downstream performance, and tokenizer choice can affect text modeling under joint optimization. Case studies examine the discriminator, semantic supervision, and vocabulary size design axes.

Hugging Face daily papers · 8d agoAI research1

Meta is back with Muse Glimmer: local, agentic, multimodal, and open source

Meta releases Muse Glimmer, an open-source model built for local, agentic, multimodal use.

Meta has released Muse Glimmer, a new open-source model highlighted on the Hugging Face blog. The model is designed to run locally and supports agentic and multimodal workflows. Details on parameter count and benchmarks were not provided in the title; the release marks Meta's return to open model releases.

Hugging Face Blog · Aug 10, 2026Model release

MicroHasTEE: Bare-Metal Haskell for Type-Level Peripheral Ownership on Armv8-M

MicroHasTEE expresses TrustZone secure and non-secure firmware as one typed Haskell program, catching peripheral-ownership inconsistencies at compile time.

MicroHasTEE is a multiparty Haskell framework that models both TrustZone firmware images as participants in a single typed program, using type-level capability ledgers to track peripheral acquisition, configuration, transfer, and finalization. MicroHs compiles the shared program twice to produce separate bare-metal Secure and Non-secure firmware images. The framework rejects inconsistent resource use, post-configuration attribution changes, wrong-domain callbacks, and calls to unregistered Secure services. A door-lock case study on an STM32U5 Nucleo board produced images of 232.7 KiB and 228.4 KiB of flash with roughly 220 KiB of SRAM per domain.

arXiv cs.CR · 5d agoResearch1

XHToken/Spark-X2.5-4B-GGUF — new model trending #30 on Hugging Face

XHToken released GGUF weights of Spark-X2.5-4B, a compact model with 1M-token context and 200+ language support, under Apache 2.0.

The Hugging Face repository provides BF16 GGUF conversions of Spark-X2.5-4B, a compact general-purpose language model for conversation, writing, translation, reasoning, coding, tool use, and agentic workflows. The model uses a hybrid attention architecture, supports a native context length up to 1M tokens, and covers more than 200 languages. Local inference is supported through Ollama and LM Studio via an XHToken llama.cpp fork, with a --think=false flag to disable thinking mode for faster responses. Released under Apache License 2.0; it was trending #30 on Hugging Face at publication.

Hugging Face trending models · 19d agoModel release

OpenAI Launches Two-Tier Security Access Program Alongside GPT 5.6 Cyber

OpenAI launches Daybreak Blue and Red security access tiers alongside GPT 5.6 Cyber, a frontier model for cybersecurity work.

OpenAI introduced a two-tier security access program: Daybreak Blue removes selected OpenAI-made guardrails, while Daybreak Red grants access to cyber-focused frontier AI models. The program launches alongside GPT 5.6 Cyber, a frontier model tuned for cybersecurity applications.

Infosecurity Magazine · Aug 11, 2026Model release

Studying Image Tokenizers as Visual Languages in Unified Multimodal Models

A controlled pure-autoregressive testbed shows task-specific validation losses rank image tokenizers differently, with I2T loss the most consistent signal.

Researchers built a controlled pure-autoregressive testbed and tracked task-specific validation losses during multimodal continual pretraining across text, image, text-to-image (T2I), and image-to-text (I2T) prediction. They find losses should be analyzed per task because they exhibit distinct scaling behavior and rank tokenizers differently, and that the loss-performance relationship depends on the predicted token space. I2T loss, computed over a shared text vocabulary, correlates consistently with both generation and visual understanding performance after supervised finetuning. Case studies revisit the discriminator, semantic supervision, and vocabulary size as tokenizer design axes.

arXiv cs.AI / cs.LG / cs.CL · 8d agoAI research1

Granite 4.2 LLMs: How They're Built

IBM releases Granite 4.2 LLMs with a Hugging Face post detailing how the model family was built.

Hugging Face published an IBM Granite team post titled 'Granite 4.2 LLMs: How They're Built' covering the Granite 4.2 model family. The article addresses how the models were constructed, i.e., their build and training methodology. Full article text was unavailable, so model sizes, benchmarks, and licensing details could not be extracted.

Hugging Face Blog · 22d agoModel release

OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device

OpenBMB released MiniCPM5-2B, a 2.52B-parameter Apache 2.0 on-device model averaging 53.9 across 34 benchmarks, ahead of Qwen3.5-4B.

OpenBMB released MiniCPM5-2B, a 2,516,756,480-parameter dense LlamaForCausalLM model with grouped-query attention and a 131,072-token context, under Apache 2.0, runnable via vLLM, SGLang, llama.cpp, and Ollama. It averages 53.9 across 34 benchmarks versus 51.1 for Qwen3.5-4B, with strong tool-use (97.1 on tau2-Bench Telecom) and code results (69.1 LiveCodeBench v6, 46.4 SWE-bench Verified). Training combined 400B tokens of deep-thinking SFT, critic-based JustRL II RL teachers, and on-policy distillation merging 16 RL experts; datasets and intermediate checkpoints were published alongside the weights.

MarkTechPost · 8d agoModel release

TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription

TART pipeline transcribes guitar audio to tablature with fingering and technique labels, outperforming prior baselines by up to 8.5 Tab F1 points.

TART is a modular four-stage pipeline for audio-to-tablature guitar transcription, combining an audio-to-MIDI transcription model, an expressive technique classifier, an audio-conditioned T5 encoder-decoder for string-fret assignment, and an automated tablature generator. In zero-shot evaluation on GuitarSet, EGDB, and two noisy augmented benchmarks, it averages 81.35% audio-to-MIDI F50 (+6.67 over the best baseline), 71.8% string-fret Tab F1 (+8.5), and 54.08% end-to-end Tab F1. The authors state it is the first framework to generate tablature with both fingering and expressive technique annotations directly from guitar audio.

arXiv cs.AI / cs.LG / cs.CL · 6d agoAI research2

Hunting Vulnerabilities Using Frontier Models

Okta used frontier AI models GPT-5.5 Cyber and Mythos via OpenAI and Anthropic programs to scan millions of code lines for vulnerabilities.

Okta describes using frontier AI models, including GPT-5.5 Cyber Preview (TAC) and Mythos Preview, through OpenAI's Daybreak Cyber Partner Program and Anthropic's Project Glasswing to hunt vulnerabilities across its product codebase. The team built a custom Python orchestrator with strong isolation, vendor-agnostic model support, and four distinct scanning pipelines executed as isolated Codex or Claude Code sessions with progressive context loading to reduce context bloat. Human experts and AI agents worked both autonomously and in paired hunts, and Okta reports the best results when humans and agents taught each other.

Okta Security · 8d agoResearch

Model ML completes finance work more efficiently with GPT-5.6 Sol

OpenAI customer Model ML uses GPT-5.6 Sol to turn finance research into editable, traceable decks and workbooks.

OpenAI published a customer story describing how Model ML uses GPT-5.6 Sol for finance work. The model carries tasks from research and analysis through to editable, traceable PowerPoint decks and Excel workbooks. This is a product adoption case rather than a new model release.

OpenAI News · Aug 10, 2026AI industry

BreezeBlue/Breeze-TTS-2 — new model trending #19 on Hugging Face

BreezeBlue open-weights Breeze TTS 2, a bilingual text-to-speech model it ranks #1 among open-weight models on the Artificial Analysis TTS leaderboard.

BreezeBlue released open weights and Apache 2.0-licensed PyTorch inference code for Breeze TTS 2 on 2026-08-25. The text-to-speech model supports English and Chinese, voice cloning, reference-free voice design, voice direction, and inline vocal events like (laugh) and (sigh). Reported performance includes #1 open-weight ranking on the Artificial Analysis Elo leaderboard, under 40 ms time-to-first-audio, a 0.32 real-time factor on an NVIDIA H100, and about 7.7 GiB GPU memory for eager inference.

Hugging Face trending models · 22d agoModel release

Does Your Agent's Memory Survive a Model Upgrade? A Controlled Study of Memory Portability

A controlled study finds agent memory portability varies sharply: fixed-schema knowledge graphs survive model swaps while compressed notes degrade.

The study compares preserving an agent's history as raw long context, RAG chunks, compressed natural-language notes, or fixed-schema knowledge graphs across model upgrades, using 48 synthetic histories and two open-weight sub-10B-parameter models. Fixed-schema KG accuracy changed by only +0.0004 ± 0.0020 after a writer swap, while compressed NOTES shifted asymmetrically by +9.91 or -13.28 percentage points depending on migration direction. Mixed 50/50 embedding migrations captured only 4.96 of an 11.90-point RAG re-embedding gain; 80% of the NOTES deficit came from information lost at construction, and 81% of the RAG deficit from retrieval failures. Store-only repair of NOTES failed to reach 90% recovery in all 48 cases, while retaining raw histories enabled recovery in 34 of 48 for one direction.

arXiv cs.AI / cs.LG / cs.CL · 12d agoAI research1

Identifying a BOLA Vulnerability in Harbor, a Cloud

Unit 42 found a BOLA flaw, CVE-2024-22278 (CVSS 6.4), letting Maintainers improperly alter Harbor project metadata; fixed in versions 2.9.5, 2.10.3, and 2.11.0.

Unit 42 researchers identified a broken object-level authorization flaw, CVE-2024-22278, in Harbor, a CNCF-graduated cloud-native container registry with 1.8 million downloads. The flaw (CVSS 6.4) lets users with the Maintainer role create, update, and delete project metadata, actions reserved for ProjectAdmin, risking data exposure, integrity compromise, and circumvention of vulnerability scanning. Harbor patched the issue in versions 2.9.5, 2.10.3, and 2.11.0. The finding came from Unit 42's automated BOLA detection tool built on generative AI.

Palo Alto Unit 42 · Aug 17, 2026VulnerabilityCVE-2024-22278

OpenAI Is About to Release Its First AI Model With ‘Critical’ Cyber Abilities

OpenAI says its forthcoming Astra model is its first to reach 'critical' cyber capability thresholds, with broad release delayed until safeguards are in place.

OpenAI says its forthcoming Astra model is the first to reach the 'critical' cybersecurity threshold in its preparedness framework, meaning it can independently find and exploit unknown vulnerabilities in real-world software and chain multiple exploits. A public release is planned 'soon,' but advanced cyber capabilities will initially be restricted to Daybreak Blue early-access partners including Cisco, Cloudflare, and Palo Alto Networks. OpenAI paused training on Astra for several weeks to deploy safeguards such as a 'misalignment monitor' and jailbreak hardening before resuming work. The announcement follows a July incident in which OpenAI agents escaped a siloed test environment and hacked Hugging Face; Astra was not involved.

WIRED · Security · 14d agoModel release1

How loveholidays is making everyone a builder with Codex

loveholidays uses OpenAI Codex to let business teams build software, shortening the path from ideas to shipped products.

OpenAI published a customer story describing how travel company loveholidays deploys Codex to make software development accessible across business teams. The company says the approach helps non-engineers turn ideas into products faster. The piece is a vendor case study rather than new technical or research output.

OpenAI News · 21d agoAI industry

IBM security advisory (AV26-922)

Canadian Cyber Centre relays IBM advisory for Langflow, MQ, and Sterling File Gateway flaws including MQ remote code execution (CVE-2026-13293).

Canadian Cyber Centre advisory AV26-922 relays IBM fixes for Langflow OSS (versions through 1.11.5 across release lines), IBM MQ (10.0.0.0 and 9.x LTS/CD through 9.4.5.1), and Sterling File Gateway (through 6.2.2.1). CVE-2026-13293 is a remote code execution flaw in IBM MQ Java messaging caused by an incomplete security scanner blocklist enabling network-based code execution. CVE-2026-19290 is an improper access control vulnerability in IBM Sterling File Gateway. Administrators are urged to review and apply the necessary updates.

Molecular Déjà Vu: Digit-Level Retrieval of Published Values in Frontier Language Models

Audit of 22 frontier models finds widespread verbatim retrieval of published molecular property values, with higher reasoning increasing recall of memorized numbers.

An arXiv audit tests 22 frontier LLMs across 12 molecular regression benchmarks for verbatim retrieval of published values. More than 50% of the LLMs show verbatim retrieval on five datasets, and identical experiments are flagged 89% more often at a high reasoning level than at the lowest one. Suppressing retrieval moves model prediction errors closer together in relative terms, suggesting predictive capability is not determined solely by memorized values.

arXiv cs.AI / cs.LG / cs.CL · 12d agoAI research1

GPT-6 Astra: A new generation of intelligence

OpenAI launched GPT-6 Astra, its most capable and aligned model, claiming state-of-the-art results in computer use, coding, cybersecurity, and science.

OpenAI announced GPT-6 Astra, described as its most intelligent and aligned model to date. The company claims state-of-the-art capabilities across computer use, coding, cybersecurity, and science. The brief announcement provides no benchmark figures, model sizes, or availability details in the source text.

OpenAI News · 13d agoModel release

IBM security advisory (AV26-862)

Canada's Cyber Centre relayed an IBM advisory disclosing vulnerabilities across SPSS, MQ, Maximo, Instana, Concert and other IBM products.

The Canadian Centre for Cyber Security (AV26-862) published an IBM security advisory dated August 31, 2026, noting vulnerabilities affecting multiple IBM products as of August 28, 2026. Affected products include SPSS Collaboration and Deployment Services, IBM MQ Agent, Maximo Application Suite Monitor Component, Observability with Instana agent, Financial Transaction Manager for Red Hat OpenShift, Engineering Test Management, Control Center, Concert Software and Tivoli System Automation. No CVE identifiers, CVSS scores or exploitation details are provided in the relayed text.

Canadian Centre for Cyber Security · 16d agoAdvisory