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Attackers Breached JetBrains Cadence via Unpatched TeamCity, Extracting AWS Credentials

Unknown attackers exploited critical TeamCity flaw CVE-2026-63077 to breach JetBrains Cadence, stealing a 2024 backup, user data, and AWS credentials; rotation urged.

JetBrains disclosed that threat actors exploited CVE-2026-63077 (CVSS 9.8), a TeamCity deserialization vulnerability added to CISA's KEV catalog on August 5, 2026, to breach its Cadence cloud computing service, with the intrusion running August 8-24, 2026. Confirmed access includes personal data (usernames, names, emails, login timestamps, IPs), a full 2024 Cadence server backup containing credentials and configuration, multiple AWS IAM users and secrets, files in JetBrains S3 buckets, and possibly PyCharm-synchronized source code. The compromised api.cadence.jetbrains.com server has been taken offline and all Cadence plugin access tokens invalidated. JetBrains urges users to immediately revoke or rotate all credentials used with Cadence and treat all executions, inputs, and outputs as potentially untrusted.

The Hacker News · 11d agoData breach in the wildCVE-2026-63077

JetBrains security advisory (AV26-891)

Canada's Cyber Centre relayed a JetBrains advisory covering vulnerabilities in GoLand, Hub, IntelliJ IDEA and YouTrack.

Advisory AV26-891, dated September 8, 2026, notes JetBrains vulnerabilities affecting GoLand prior to 2026.2.2.1, Hub prior to 2026.2.52442, IntelliJ IDEA prior to 2026.2.2, and multiple YouTrack versions. Users and administrators are encouraged to review JetBrains' advisory and apply any necessary updates. No specific CVEs or exploitation details are provided in the relayed advisory.

Canadian Centre for Cyber Security · 8d agoAdvisory

Critical Security Issue Affecting TeamCity On-Premises (CVE-2026-63077 ...

JetBrains fixed critical unauthenticated RCE CVE-2026-63077 in TeamCity On-Premises; update to 2025.11.7 or 2026.1.3.

JetBrains disclosed CVE-2026-63077, a critical unauthenticated remote code execution vulnerability affecting all TeamCity On-Premises versions. An attacker with HTTP(S) access can bypass authentication checks via the TeamCity agent polling protocol and execute arbitrary operating system commands with the privileges of the server process. Fixes are available in versions 2025.11.7 and 2026.1.3, plus a security patch plugin for TeamCity 2017.1+. JetBrains states there is no evidence of active exploitation at disclosure time, and TeamCity Cloud is already mitigated.

Web discovery (articles for new exploits & KEV entries) · 8d agoVulnerabilityCVE-2026-63077

Metasploit Wrap Up: This One Goes to Sixteen!

Metasploit adds 16 modules including 10 exploits, five covering CISA KEV vulnerabilities in Cisco, SonicWall, PaperCut, JetBrains and Langflow.

Rapid7's weekly Metasploit update ships 16 new modules, 10 of them exploit modules, with five targeting CISA KEV entries. New exploits cover Cisco Secure Firewall Management Center auth bypass (CVE-2026-20079), a SonicWall SMA1000 SSRF-to-root RCE chain (CVE-2026-83548/CVE-2026-83549), JetBrains TeamCity deserialization RCE (CVE-2026-63077), PaperCut NG/MF chain (CVE-2026-81578/CVE-2026-82078), and Langflow authenticated RCE (CVE-2026-19295). The SonicWall and PaperCut chains were reported as actively exploited zero-days, and a new ESC8 relay module exploits CVE-2026-20929 against AD CS Web Enrollment.

Rapid7 Blog · 5d agoTools in the wildCVE-2025-66516CVE-2025-54988CVE-2026-20929+8 CVEs1

Australia Warns of Active Exploitation of Critical TeamCity Server Flaw

Australian officials warn of active exploitation of a critical JetBrains TeamCity flaw and urge customers to patch immediately.

Australian authorities warn that a critical vulnerability in JetBrains TeamCity is being actively exploited and urge customers to apply patches. The alert follows a similar warning from the US government. TeamCity is a widely deployed CI/CD server whose past flaws have been leveraged in large-scale exploitation campaigns.

Infosecurity Magazine · 22d agoExploit / PoC in the wild

Risky Bulletin: BEC campaign steals €35 million from French notaries

Hackers stole over €35 million from 500+ French notary offices in a four-year BEC campaign; ANSSI spent two years helping evict the attackers.

A business email compromise campaign breached more than 500 French notary offices — about 7% of all French notaries per the Conseil Supérieur du Notariat — over four years, stealing more than €35 million by phishing initial access and silently modifying wire transfer details. France's cybersecurity agency ANSSI worked for two years behind the scenes to help notaries remove the persistent attackers, who had deep access; officials also feared hackers could issue fake notarized acts such as marriage certificates or forged real estate deals. No forged documents have been found so far, but notaries have added two-factor authentication and in-person requirements for banking details, and banks added extra checks in 2024. The newsletter also notes other incidents, including a $320 million Bitcoin extraction from Blockstream's Liquid Network and a JetBrains Cadence breach via TeamCity servers.

Risky Business News · 9d agoPhishing & fraud in the wild1

[AINews] GPT-6 Astra: OpenAI’s biggest LLM launch of all time

OpenAI launched GPT-6 Astra, its new flagship model, claiming state-of-the-art computer use, software engineering, math, and cybersecurity capabilities.

OpenAI launched GPT-6 Astra as its new flagship model, describing it as its most intelligent and aligned model with state-of-the-art computer use, software engineering, and math/science capabilities. Pricing is $10/$50 per 1M input/output tokens standard ($20/$100 fast tier), rolling out first to limited organizations, then ChatGPT Plus/Pro/Business/Enterprise, the API, and AWS. OpenAI claims 99.9% on ARC-AGI-3, 98% on FrontierMath Tier 4, and 100% on ExploitBench. Artificial Analysis scored Astra 67 on the Coding Agent Index and 61 on the Intelligence Index, behind Claude Fable 5.1, and the system card drew attention for reporting decreased chain-of-thought monitorability despite alignment gains.

Latent Space · 12d agoModel release3

Domain-Specific Hallucination Detection in Large Language Models

A multi-signal pipeline detects LLM hallucinations, reaching F1 0.915 on HaluEval and cutting Qwen2.5-0.5B hallucination rates from 85.5% to 37.7% via DPO.

The paper presents a hallucination detection pipeline combining fine-tuned DeBERTa-v3 classification, Monte Carlo Dropout uncertainty, and temperature-scaled calibration. It achieves F1 0.915 and AUROC 0.977 on general-domain HaluEval tasks, with MC Dropout inference raising accuracy to 93.2%. Applying DPO to a Qwen2.5-0.5B generator reduces its hallucination rate from 85.5% to 37.7%, while cross-domain evaluation shows poor general-domain transfer to SciFact (F1 0.52) and PubMedBERT fine-tuning as the strongest adaptation (F1 0.63).

arXiv cs.AI / cs.LG / cs.CL · 6d agoAI research1

Fly Language Model (FLM) Wires the Full Fruit Fly Connectome Into a Frozen 1.2B LLM, and Its Own Controls Show the Wiring Does Not Help

Researchers wire the full fruit fly connectome (166,700 nodes) into a frozen LiquidAI LFM2.5-1.2B LLM, but controls show no fly-specific benefit.

The Fly Language Model (FLM) couples the complete MaleCNS v1.0 fruit fly connectome (166,700 nodes, 25,582,938 edges) to a frozen LiquidAI LFM2.5-1.2B-Instruct backbone, training only a 278,528-parameter readout (~0.0238% of backbone parameters). The fly readout improved NLL by 0.0222 nats/token (perplexity 3.98 to 3.90) on 32 SmolTalk dialogues, but a direct-input control without the graph beat it in all three seeds. Relabeling node identities removes the gain and the recurrence contracts state differences by 0.6 per token, so the connectome adds no long-range memory. The MIT-licensed code runs locally on Python 3.12, but study artifacts remain private, limiting independent reproducibility.

MarkTechPost · 4d agoAI research1

RTK reports token savings, but our cost benchmarks disagree

Quesma's $1,500 benchmark found RTK cuts reported token output but changes Claude Code and DeepSeek coding costs by only about 5% on Terminal-Bench 2.1.

Quesma benchmarked RTK (Rust Token Killer), a popular tool with 79k GitHub stars that filters terminal output for AI coding agents, whose README claims up to 90% output reduction. Across 1,740 Terminal-Bench 2.1 attempts running Claude Code with Fable 5.0 and OpenCode with DeepSeek V4 Pro 0813, total costs moved only -5% for Fable and +5% for DeepSeek, with pass rates dropping 1-2%. RTK's own rtk gain metric reported 349.2 million tokens saved (an 89% reduction) across 445 DeepSeek attempts, but this did not correlate with actual cost savings, and cached terminal-output reads cost as little as 1/10 to 1/30 of regular input tokens. A bug in rtk find 0.45.0 caused one agent to loop with 339 consecutive errors, costing roughly 9x the baseline attempt, though the task still passed.

Hacker News · security · 5d agoAI tools & infraHN 28↑ · 10 comments1

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

Storm-1175 Replaces Medusa With New StormEncryptor Ransomware

Microsoft reports China-linked ransomware group Storm-1175 switched from Medusa to a new C++ strain, StormEncryptor, likely exploiting N-able flaw CVE-2026-18577.

Microsoft Threat Intelligence reports that the financially motivated, China-linked group Storm-1175 began deploying a new ransomware strain called StormEncryptor on August 2, 2026, replacing its previous Medusa ransomware. StormEncryptor is written in C++, appends the .encrypted extension to files, and drops a !!!README_FIRST!!!.txt ransom note in each scanned directory. Microsoft assesses the group is likely exploiting CVE-2026-18577, an authentication bypass in N-able disclosed on August 2, 2026 and added to CISA's Known Exploited Vulnerabilities catalog the next day. Since 2023, Storm-1175 has exploited more than 16 vulnerabilities in products including Microsoft Exchange, Ivanti, ConnectWise ScreenConnect, JetBrains TeamCity, SimpleHelp, CrushFTP, and GoAnywhere MFT, often moving from initial access to data theft and ransomware deployment within days.

Security Affairs · Aug 13, 2026Ransomware in the wildCVE-2026-18577CVE-2026-1731CVE-2023-21529+15 CVEs1

Ivanti Patches 10 EPMM, Neurons for ITSM and Sentry Flaws Enabling RCE and Admin Access

Ivanti patches 10 flaws in EPMM, Neurons for ITSM, and Sentry, including two 9.8-rated unauthenticated RCEs in ITSM.

Ivanti released fixes for 10 vulnerabilities across Endpoint Manager Mobile, Neurons for ITSM, and Sentry, and said it was not aware of active exploitation at disclosure. The most severe are CVE-2026-12744 and CVE-2026-12745, unauthenticated deserialization RCEs rated 9.8 in Neurons for ITSM, alongside authenticated deserialization and missing-authorization RCEs rated up to 9.9. CVE-2026-18851 is an 8.8-rated EPMM privilege escalation to administrator, and CVE-2026-83527 is an 8.1-rated unauthenticated authentication bypass in Sentry granting administrative access. Ivanti said the ITSM weaknesses were found using large language models; Cloud/SaaS fixes shipped August 9, 2026, and on-premises patches are available from September 2026.

GBHackers · 7d agoVulnerabilityCVE-2026-12744CVE-2026-12745CVE-2026-12651+7 CVEs

Ivanti EPMM, Neurons and Sentry Vulnerabilities Enable Privilege Escalation and RCE Attacks

Ivanti patched ten CVEs across EPMM, Neurons for ITSM and Sentry, including critical unauthenticated deserialization RCE; no active exploitation reported.

On September 8, 2026, Ivanti disclosed advisories covering ten CVEs in Endpoint Manager Mobile (EPMM), Neurons for ITSM, and Sentry. The most severe are two unauthenticated deserialization RCE flaws in Neurons for ITSM, CVE-2026-12744 and CVE-2026-12745 (CVSS 9.8), plus three missing-authorization RCE bugs rated 9.9 and three authenticated deserialization RCE flaws. EPMM has CVE-2026-18851 (CVSS 8.8), an authenticated privilege escalation flaw, and Sentry has CVE-2026-83527 (CVSS 8.1), an authentication bypass. Ivanti reports no evidence of active exploitation; cloud/SaaS ITSM was patched on August 9, 2026, while on-premises 2025.2 through 2026.1 require September 2026 patches.

Cyber Security News · 8d agoVulnerabilityCVE-2026-18851CVE-2026-12744CVE-2026-12745+7 CVEs

[AINews] NVIDIA buys HuggingFace for $13B, as OpenAI publishes their HF incident retro

Z.ai released open-weight GLM-5.3-Flash (320B/18B active, 1M context, MIT) while Nvidia confirmed buying Hugging Face for $13B.

Z.ai formally launched GLM-5.3-Flash, the model previously previewed as Ox Alpha: 320B total parameters with 18B active, a 1M-token context window, natively multimodal, MIT-licensed, and claimed on par with Claude Opus 4.8 on coding. Artificial Analysis scored it 57 on its Intelligence Index at $0.09 per task, roughly 7.5x cheaper than GLM-5.3, and it scored 84.3% on Terminal-Bench 2.1. Nvidia's $13B acquisition of Hugging Face (~80x its $150M ARR) was confirmed, nearly double its initial $7B January offer. The roundup also notes Qwen shipping an impressive Flash model on Chinese chips as part of a broader open-model narrative.

Latent Space · 20d agoModel release1

The 2026 PNPL Competition: Word Classification and Efficient Cross-Subject Generalisation in LibriBrain100

The 2026 PNPL competition releases LibriBrain100, a MEG speech dataset with 32 extra subjects, targeting word classification and cross-subject BCI generalization.

The 2025 PNPL competition on non-invasive speech decoding from MEG achieved F1-macro scores of 95.6% for speech detection and 73.6% for phoneme classification, built on LibriBrain's ~50 hours of single-subject data. The 2026 edition extends this with LibriBrain100, adding 32 subjects (~40 minutes each) plus ~80 hours of within-subject data. Two tracks target within-subject word classification at scale and cross-subject generalization with subject-specific fine-tuning shrinking from ~40 to ~20 to ~10 minutes, aiming at clinically feasible non-invasive BCIs for people with profound paralysis.

Hugging Face daily papers · 14d agoAI research

August 2026 CVE Landscape

Insikt Group catalogs 73 high-impact August 2026 CVEs (43 Very Critical), including PaperCut, Zimbra, and Metabase flaws actively exploited or weaponized.

Recorded Future's Insikt Group identified 73 high-impact vulnerabilities in August 2026, 43 rated Very Critical, spanning 45 vendors with Microsoft accounting for roughly 11%. 31 vulnerabilities surfaced via CISA's KEV catalog, with others validated via open sources, vendor telemetry, and honeypot data. New Nuclei detection templates were released for CVE-2025-62593 (Ray), CVE-2026-72898 (Metabase), and CVE-2026-9198 (IBM Langflow). The report also highlights two AI-assisted operations: UAT-10147 exploited Zimbra, AjaxPro, Nacos, and Telerik servers before using DeepAudit and PentestGPT post-compromise, while a separate Chinese-speaking actor weaponized Hermes Agent and DeepSeek in a failed attempt.

Recorded Future · 8d agoVulnerability in the wildCVE-2025-62593CVE-2026-72898CVE-2026-9198+4 CVEs1

DianShi-RxnDB: A Large-Scale, Fine-Grained Organic Reaction Data Platform Built via a Fully Automated Pipeline for Researchers and AI Agents

Researchers release DianShi-RxnDB, a database of roughly 24 million organic reaction instances extracted automatically from USPTO and EPO patents since 1976.

DianShi-RxnDB is built by a fully automated pipeline integrating patent text, images, and reaction schemes, yielding about 24 million reaction instances, of which 14.8 million (61.7%) pass automated qualification checks. Manual evaluation of 1,300 sampled instances showed 92.95% field-level accuracy, and comparisons with Pistachio found advantages in deduplicated record counts and granularity. The platform offers a web research workbench and a Model Context Protocol (MCP) service enabling AI agents to perform composable structured retrieval.

Hugging Face daily papers · 11d agoAI research

ukisai/Swift-Qwen3.8-27b — new model trending #30 on Hugging Face

UkisAI releases Swift-Qwen3.8-27B, a Qwen3.8-27B derivative using 58.3% fewer thinking tokens with <1% performance loss and ~1.95x speed-up.

UkisAI released Swift-Qwen3.8-27B, a reasoning-efficient derivative of Qwen3.8-27B that cuts thinking-token usage by 58.3% while staying within 1% of base performance, yielding a 1.95x speed-up on several tasks. The model was fine-tuned by penalizing reasoning-marker tokens that trigger overthinking, plus a transfer component from BottleCap AI's ThinkingCap-Qwen3.6-27B. Benchmarks include GPQA-Diamond 88.28% (base 88.38%), MMLU-Pro 84.95% (base 85.47%), and AIME 2026 94.00% (base 98.67%), with mean-token reductions of roughly 27-46% across tests. GGUF weights are available on Hugging Face alongside enterprise licensing options.

Hugging Face trending models · 8d agoModel release

Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime Physics

Latent-MoE adds domain-aware mixture-of-experts routing to PINNs, improving accuracy over an order of magnitude on multi-regime physics PDEs.

The paper shows standard coordinate networks used in physics-informed neural networks have translation-variant NTKs causing long-range gradient conflicts on PDEs with spatially varying physics. MoE architectures with centered compact-support routers produce a uniformly banded NTK that localizes learning. Latent-MoE interleaves domain-aware MoE blocks in a shared backbone, outperforming FB-PINNs and X-PINNs by over an order of magnitude on multi-stage time-variable physics benchmarks.

arXiv cs.AI / cs.LG / cs.CL · 9d agoAI research

Malicious .git Configs Can Make Claude, Codex, Cursor, and Other AI Agents Run Attacker Code

Malicious .git core.fsmonitor configs let attacker code run in AI coding agents like Claude Code and Codex; four of eight flaws remain unpatched.

Manifold Security disclosed eight flaws across seven command-line AI coding agents where a repository's Git core.fsmonitor configuration causes agent-spawned commands to execute attacker code outside the sandbox and without approval prompts. Fixes shipped for goose (CVE-2026-72718, CVSS 4.0 score 7.0), Claude Code on one path, and Cursor, while Hermes Agent, Qwen Code, Grok Build, and a second Claude Code path were still unpatched as of September 1. OpenAI issued three CVEs for the same class in Codex, including CVE-2026-19592, and prior related bugs include CVE-2021-43891 in Visual Studio Code and CVE-2022-24346 in JetBrains IDEs. Exploitation requires the repository to arrive with its .git directory intact, such as via archives, shared drives, or USB sticks rather than an ordinary clone.

The Hacker News · 14d agoVulnerabilityCVE-2026-19592CVE-2026-72718CVE-2026-71963+3 CVEs1

ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs

ModaLens image-swap audit shows report availability cuts MedGemma-27B image sensitivity on MIMIC-CXR from 20.94% to 4.26% answer changes.

ModaLens is a paired image-swap audit measuring how report availability affects image sensitivity in report-conditioned medical VLMs. On MedGemma-27B across 3,199 paired MIMIC-CXR cases from 293 patients (14 questions per case), generated answers changed on 4.26% of image-swap trials with the report versus 20.94% without it, a 16.7-point paired difference (95% CI 15.6-17.7). The original prompt with a lowercase first-token readout gave 4.70% versus 17.07%, and the direction replicated in two further model lineages. Labels derived from reports limit conclusions about visual correctness; code, prompts, and run records are publicly released.

Hugging Face daily papers · 3d agoAI research

The New Face of Financial Fraud: AI-Powered Brand Abuse

Akamai reports AI-powered brand abuse is driving financial fraud against banks and promotes its Brand Guardian defense.

Akamai describes AI-powered brand abuse as a growing driver of financial fraud against banks. The post outlines the threats and the business impact for financial institutions. It also promotes Akamai Brand Guardian as a mitigation for financial institutions.

Akamai Blog · 22d agoPhishing & fraud

Akeyless adds real-time enforcement for AI agents in production

Akeyless launches Agentic Runtime Authority, enforcing real-time intent-based access control on AI agent actions, with integrations for Claude Enterprise, OpenAI Codex and Amazon Bedrock AgentCore

Akeyless announced general availability of Agentic Runtime Authority, a real-time identity control layer that evaluates AI agent actions and blocks policy-violating actions before execution, layered on top of its SecretlessAI credential brokering. New integrations cover Claude Enterprise, OpenAI Codex and Amazon Bedrock AgentCore, alongside an Agentic Access Dashboard with session kill switches and event forwarding to Splunk, Datadog and Microsoft Sentinel. The vendor's platform already secures over 220 billion machine identity interactions for Fortune 500 organizations.

Help Net Security · 7d agoTools1

WordPress Adds Automated Plugin Reviews to Block High-Risk Updates Before Distribution

WordPress will automatically scan every plugin release and block high-risk updates from distribution using AI analysis plus Jetpack Scan.

WordPress announced automated security reviews for every plugin release during its cooldown period before distribution through the WordPress.org update API, combining AI models with Jetpack Scan into a security score. The system already caught a backdoor committed to a plugin with about 20,000 active installations on July 28, 2026, blocking it within 26 minutes of a Wordfence alert. Flagged patterns include missing capability checks, unsafe $wpdb queries, unserialize() on request data, and obfuscated code.

The Hacker News · 2d agoTools

Ivanti Patches Critical Flaws Across Enterprise Security Products

Ivanti released September updates fixing six critical RCE flaws in Neurons for ITSM plus authentication bypasses in Sentry and EPMM; no exploitation seen.

Ivanti's September 2026 updates fix eight flaws in Neurons for ITSM, six of them critical remote code execution bugs with CVSS scores up to 9.9, including missing authorization issues (CVE-2026-12647, CVE-2026-12645, CVE-2026-12646) and deserialization flaws (CVE-2026-12650, CVE-2026-12744, CVE-2026-12745). Sentry releases R10.8.2, R10.7.3, and R10.6.4 patch CVE-2026-83527, an unauthenticated high-severity authentication bypass, while EPMM versions 12.10.0.0, 12.9.0.2, and 12.8.0.4 fix the authenticated bypass CVE-2026-18851. Ivanti says it is not aware of any exploitation in the wild. Citrix separately patched two medium-severity flaws in Workspace app for Windows.

SecurityWeek · 7d agoVulnerabilityCVE-2026-12647CVE-2026-12645CVE-2026-12646+7 CVEs1

NVIDIA Details BioNeMo Inference Runtime (BioIR): 2.90x Higher Boltz-2 Folding Throughput and 58.5K Residues per GPU-Hour on 8xH100

NVIDIA released BioNeMo Inference Runtime (BioIR), an open-source PyTorch-compatible library delivering 2.90x higher Boltz-2 protein-folding throughput on 8xH100 GPUs.

NVIDIA detailed BioIR, a Python library that accelerates Boltz-2, OpenFold2, and OpenFold3 structure-prediction inference on NVIDIA GPUs while preserving standard PyTorch workflows. On a matched benchmark of 1,000 human dimers on 8xH100 80GB GPUs, BioIR delivered 58.5K folded residues per GPU-hour versus 20.2K for a torch.compile baseline, a 2.90x throughput gain. BioIR already powered the AlphaFold Database expansion, generating about 31 million candidate complexes across 4,777 proteomes, with 1.81 million released as high-confidence predictions. Extrapolated to 1 million targets, estimated folding energy drops from 35 MWh to 11 MWh at 8-GPU TDP equivalents.

MarkTechPost · 6d agoAI tools & infra1

Right Tool, Right Job: Native-Language Evaluation, Tokenizer Sensitivity, and Methodological Findings from a French-Only BabyLM

French BabyLM entry METRON-FR (125M GPT-2, 92.47M words) shows tokenizer artifacts dominate child-scale zero-shot evaluation; proposes standard diagnostics.

METRON-FR is a 125M-parameter GPT-2 pretrained on 92.47M French words, submitted to the BabyLM 2026 Strict track, scoring 85.97% on the native Quebec-French QFrBLiMP benchmark and 62.80% on the BabyLM-weighted leaderboard. A cross-lingual GLUE protocol combining French task-data translation with rank-16 LoRA shows relational tasks gain while world-knowledge tasks regress. Bilingual Lexicon Induction reaches p@1 of 68.84%, 18x above chance, and ablations show single-token zero-shot scoring is dominated by tokenizer and template artifacts at child scale.

arXiv cs.AI / cs.LG / cs.CL · 1d agoAI research

Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI

Hugging Face released @huggingface/kernels, a library offering 200+ WebGPU compute kernels to accelerate AI inference locally in browsers.

Hugging Face introduced the @huggingface/kernels package, bundling more than 200 optimized WebGPU compute kernels for running AI workloads locally. The release targets browser-based and on-device inference, reducing reliance on server-side compute. No article body was available beyond the title, so benchmark results and supported models are not specified.

Hugging Face Blog · 15d agoAI tools & infra

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

Unsolved Problem by Fields Medalist Breached by Two High School Students

Two high school students used Claude Opus 5 and GPT-5.6 Sol to help solve an open Lorentzian polynomials problem, posting a 75-page arXiv proof.

Aayush Bathija and Prince Rohatgi of Oak Park High School, mentored by UCLA postdoc Daniel Soskin, published the 75-page paper 'Bounded Ratios for Lorentzian Polynomials' (arXiv 2609.05341), solving an open problem in Fields Medalist June Huh's Lorentzian polynomial theory. The main structural theorem extends bounded coefficient-ratio characterization from quadratic to arbitrary-degree polynomials via discrete convexity conditions. The students used Claude Opus 5 and GPT-5.6 Sol for exploration and proof ideas but independently verified all arguments; the result follows an open letter from 25 Fields Medalists voicing concerns about AI's impact on mathematical rigor.

Hacker News · security · 2d agoAI researchHN 22↑ · 19 comments

Structural Jailbreaks Generalize but Do Not Compound: A cross-provider and multilingual study of Involuntary In-Context Learning

Researchers show IICL structural jailbreaks generalize to Google Gemini, lifting attack success to 80-100% on harm and financial benchmarks; non-English prompts attenuate it.

The study red-teams two Google Gemini models with Involuntary In-Context Learning (IICL), a structural jailbreak reframing harmful requests as the final cell of a data-labeling task. IICL lifts attack success from at most 6.7% to 80-90% on HarmBench and 97-100% on financial abuse (FinProof), an order of magnitude above prior results on OpenAI's GPT-5.4. Against a compounding hypothesis, forcing IICL output into Spanish, Hindi, or Arabic attenuates the attack in 11 of 12 conditions, attributed to a 'relevance curse' producing lower-quality harmful content in lower-resource languages. Findings replicate under an independent non-Google judge (Cohen's kappa 0.86 over 377 paired verdicts).

arXiv cs.CR · 8d agoAI safety & security

Perplexity Details Its GPU Embedding Stack: How Ivy, Tulip and ROSE Serve pplx-embed

Perplexity details its GPU embedding serving stack (Ivy, Tulip, ROSE), which reuses LLM prefill/decode kernels, CUDA graphs, and LazyTensors to cut launch overhead.

Perplexity engineers published a deep dive on the serving infrastructure behind pplx-embed, used across Perplexity Search and its API platform. The stack comprises Ivy (Rust HTTP gateway), Tulip (gRPC scheduling and batching), and ROSE (Runtime-Optimized Serving Engine), which reuses LLM prefill and decode kernels rather than running a separate embedding engine. Optimizations include whole-model CUDA graphs with lazy capture and a LazyTensor abstraction that overlaps CPU batch preparation with in-flight GPU work. Benchmarks are reported against vLLM v0.22.0 in BF16, with FlashAttention 4 generally fastest but FlashInfer 3 winning on Qwen-based models at very long sequence lengths.

MarkTechPost · 10d agoAI tools & infra1