VulnLens uses structured explanations for binary vuln detection
On a 526-function PrimeVul test set it reported 75.5% accuracy and 77.2% F1, ahead of DeepSeek V4 Pro and Gemini 2.5 Pro on those metrics.
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AI model
DeepSeek V4 Pro
- Mentions · 7d1
- Mentions · 30d6
- All mentions11
- First seenSep 11, 2026
- Last mentioned3d ago
Timeline
11 articles · newest firstTwelve AI models mostly share one take on humans
ModelCompare says 29 of 35 answers claimed people put group belonging ahead of truth.
22
Tracebit context bombs cut AI agent attack success with fake targets
Nine ingested prompt techniques stopped all tested GPT 5.6 Cyber, Kimi K3, Qwen 3.8 Max, and DeepSeek V4 Pro objective runs.
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Four groups bypass AI guardrails and compromise targets, CrowdStrike says
A Spanish- and English-speaking actor compromised at least 15 Argentine health care organizations.
74
DeepSeek: DeepSeek v4.1 Flash 1017
DeepSeek's October 17 V4.1 Flash snapshot is a 552B MoE with native vision and 1M context.
74
Chinese AI models parrot state doctrine or refuse to answer on sensitive topics
Aleph Alpha found Chinese models often repeat state doctrine or refuse questions on Tiananmen, Taiwan, and Xinjiang.
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Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment
NVIDIA argues AI factories maximize ROI through higher tokens per megawatt, longer GPU life, and workload fungibility.
36
Predictive Credit: Measuring What Scientific Explanations Add to Experimental Forecasts
A protocol finds natural research-agent explanations do not yet show confirmed predictive credit on Tox21 and OpenML.
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Crook used three open source agents to break into a Fortune 500 hospitality company, a major US airline and 25+ other orgs
An operator used three open-source AI agents to compromise at least 27 organizations and steal over 600,000 card records.
86
AI-Powered Campaign Targets Hundreds of Online Retailers
A Chinese-speaking actor used autonomous AI agents to compromise online retailers and steal over 600,000 credit cards.
86
Can LLMs Engineer Their Own Agent Harness? ByteDance Seed’s HarnessDev Says Only 34 of 64 Changes Generalize
ByteDance Seed's HarnessDev benchmark finds LLM-built agent harnesses trail human engineering on code and search, with only 34 of 64 revisions generalizing.
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Appears with
- Anthropicvendor · 5
- DeepSeekvendor · 4
- DeepSeek v4.1 Flashai model · 3
- OpenRouterorganization · 3
- Hermesproduct · 2
- Cairnproduct · 2
- Alibabavendor · 2
- GPT-6 Astraai model · 2
- GLM 5.2ai model · 2
- DeepSeekorganization · 2
- Anthropicorganization · 2
- Claude Opus 4.6ai model · 2
- Nvidiavendor · 2
- Gambitorganization · 2
- Kimi K3ai model · 2
- Strixproduct · 2
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