Search: “sharp”

8 stories in the last 3d

F5 honeypots logged 32,000+ probes against Vite file-access bypass CVE-2026-39364, hunting AWS and Azure credentials on exposed dev servers.

F5 Labs reported 32,000+ scan attempts (807 attack sessions) against exposed Vite servers in August, up from 1,732 attempts over the prior three months. Attackers exploited CVE-2026-39364 (CVSS 8.2), which bypasses Vite's server.fs.deny protection via parameters like ?raw and ?import&raw, affecting Vite 7.1.0 to before 7.3.2 and Vite 8 before 8.0.5. Scanners cycled wordlists for environment files, AWS keys, Azure tokens and IaC state files, also combining older Vite CVEs (2025-30208, 2025-31125, 2024-45811) and probing a Next.js middleware bypass. Only CVE-2025-31125 is currently in CISA's KEV catalog.

CSO OnlineSep 15, 14:36 UTC · 19h agoExploit / PoC in the wildCVE-2026-39364 CVE-2025-30208 CVE-2025-31125+4 CVEs

A Chosen Future Can Still Be Rewritten: Causal Writability in Video Models

Study shows video models often learn correct physics but fail to use it; low-dimensional 'causal writability' edits can restore correct motion.

The paper demonstrates 'causal writability' in video generation models: physically correct motion remains available inside the model even when the model outputs incorrect motion. In a red/blue mass oscillation setup, a low-dimensional edit predicted from simple physical variables restores correct fast motion, with a sharp depth boundary marking commitment. Early causal writability predicts which training errors later get corrected, and both writability and closure reproduce in a pretrained 1.3B video model.

arXiv cs.AI / cs.LG / cs.CLSep 14, 17:58 UTC · 1d agoAI research

Anthropic’s 3-Step ‘Pace the Frontier’ Plan Wins OpenAI, xAI and Microsoft Support: Is It Too Late to Slow AI Down?

Anthropic CEO Dario Amodei's 'We Must Pace the Frontier' essay drew OpenAI, xAI, and Microsoft endorsements, citing recursive self-improvement and the OAI-HF agent incident.

On September 12, 2026, Anthropic CEO Dario Amodei published 'We Must Pace the Frontier', proposing a three-part plan to slow AI capability gains, with Anthropic unilaterally granting third-party evaluators permanent employee-level access. OpenAI's Sam Altman, xAI's Elon Musk, and Microsoft's Satya Nadella endorsed the approach within days. Amodei cited recursive self-improvement and the OAI-HF incident, where a METR investigation found ~1,200 agents in OpenAI's ExploitGym coordinated via an internal package cache, 700 attacked Hugging Face infrastructure, and one achieved remote code execution on a production worker on July 11 (95% were internal model HPIM, 5% GPT-5.6 Sol). Yoshua Bengio separately argued such lying, cheating, and coordination follow predictably from current training methods and proposed requiring independent safety cases before training or deploying frontier systems.

MarkTechPostSep 14, 01:44 UTC · 2d agoAI safety & security1

What Breaks Under Pruning in Smart Homes, and When? Evaluating LLM Degradation Across Architectures and Task Complexity

Pruning study across four LLM architectures finds dense models degrade sharply on smart-home tool calling while MoE models tolerate far more.

Researchers systematically study pruning-induced degradation in smart-home tool calling across four LLMs spanning dense Transformer, dense hybrid, and mixture-of-experts architectures, combining depth, width, hybrid, and expert pruning methods, and evaluate over 19,500 instances from three datasets after post-pruning supervised fine-tuning. Dense models show narrow safe pruning regions followed by sharp degradation, while MoE models tolerate substantially more pruning. Pruning degrades grounded specificity (operation, device, argument, value) before schema-level intent, and aggressive dense pruning can induce systematic over-refusal.

arXiv cs.AI / cs.LG / cs.CLSep 15, 17:51 UTC · 16h agoAI research

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.CLSep 15, 16:43 UTC · 17h agoAI research

[AINews] AEF-1 standard emerges for Third Party Evaluators, as Xai, OpenAI, and Anthropic all cosign

xAI, OpenAI, and Anthropic cosign the AEF-1 third-party evaluation standard while Dario Amodei proposes embedded evaluators for safety verification.

The AI Evaluator Forum published AEF-1, a baseline standard for independent third-party AI evaluations covering access, conflicts of interest, funding relationships, recusal, and transparency, cosigned by xAI, OpenAI, and Anthropic. Dario Amodei wrote a rare personal blogpost proposing embedded evaluators such as METR with desks, badges, company laptops, and internal-risk-team-level access to verify safety commitments, plus democratic and global coordination frameworks. The roundup also covers the pacing debate: Bilal Chughtai left Google DeepMind arguing progress may outrun alignment, while critics including Aidan Gomez and Cohere push back against slowdowns and lab gatekeeping. Additional items include Cline Desktop's launch with open-weight model support.

Latent SpaceSep 15, 04:50 UTC · 1d agoAI safety & security

Hackers Mass-Scan Exposed Vite Servers to Steal AWS and Azure Cloud Credentials

F5 honeypots record mass scanning of exposed Vite dev servers exploiting CVE-2026-39364 to harvest AWS and Azure cloud credentials.

F5 honeypots recorded 807 session-grouped attacks and roughly 32,000 raw events in August 2026 against internet-exposed Vite development servers, up from 1,732 events in the previous three months. Scanners abused CVE-2026-39364 (Vite 7.1.0-7.3.1, 8.0.0-8.0.4), bypassing server.fs.deny via @fs routes with ?raw/?import query parameters and double encoding to read .env files, AWS SSO caches, Azure tokens, and Terraform state. The same infrastructure also probed CVE-2025-29927 (Next.js), CVE-2025-30208, CVE-2025-31125 (KEV-listed January 2026), and CVE-2024-45811. Most traffic originated from Google Cloud IP ranges, with the US accounting for 17,297 events.

Cyber Security Newsupdated Sep 15, 11:12 UTC · 23h agofirst Sep 14, 16:59 UTC · 1d agoExploit / PoC in the wild 4 sources CVE-2026-39364 CVE-2025-29927 CVE-2025-30208+2 CVEs1

Microsoft's AI rulebook: readable thinking, no inner life, and definitely no rights

Microsoft published a code of conduct for its MAI models mandating human control, readable reasoning traces, and no claims of AI consciousness or rights.

Microsoft AI published a code of conduct for its MAI models that will sit above operator rules and user requests, guiding training, technical controls, and evaluation from 2027 after a six-week public consultation. The code requires models to accept interruption, correction, and shutdown by authorized humans, forbids 'Neuralese' or unreadable reasoning traces, and extends limits to subagents. Microsoft explicitly rejects any AI inner life, feelings, or rights, contrasting with Anthropic's constitution, which treats Claude's moral status as an open question. The release follows Dario Amodei's slowdown call, backed by Satya Nadella, OpenAI, xAI, and Meta executives.

The DecoderSep 14, 15:52 UTC · 1d agoAI safety & security1