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🤖 AI agents breach company in 10 hours
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- Palo Alto's Unit 42 documented a ransomware operator who used frontier models and agentic attack frameworks to breach an enterprise network in under 10 hours, work that typically takes human operators around two weeks.
- AI agents ran each stage: reconnaissance, tunneling through a public API endpoint, mapping internal microservices, scraping repos for hard-coded tokens, stealing master admin credentials from the secret-management system, and hijacking CI/CD workflows to steal cloud access keys.
- The attacker turned the victim's cloud AI services into post-compromise infrastructure to hide orchestration traffic, and left an 80-page report detailing dozens of exploited findings, though Unit 42 didn't disclose which models or frameworks were used.
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🚀 OpenAI launches GPT-6 Astra
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- OpenAI has released GPT-6 Astra, a frontier model it pitches as "the world's best computer use model," designed to navigate browsers, spreadsheets, desktop apps and multistep workflows the way a person does rather than through dedicated APIs.
- On an offline subset of OSWorld 2.0, Astra scored 72.6% at ~40 minutes per task versus GPT-5.6 Sol's 65.7% at ~75 minutes, and it posts 97.6% on FrontierMath Tier 4 v2, 74.1% on DeepSWE v1.1 and 96% on GPQA Diamond.
- Astra rolls out tomorrow to enterprise Daybreak customers, then to ChatGPT Plus, Pro, Business, Enterprise, the API and AWS Bedrock and Azure, though its headline 98.6% ARC-AGI-3 score uses OpenAI's own Responses API harness, making comparisons against differently-configured models murky.
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🎙️ Microsoft speech model undercuts OpenAI
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- Microsoft AI released MAI-Transcribe-2, a speech-recognition model priced at $0.10 per hour of audio, a 72% cut from the $0.36 its first model charged five months ago, undercutting OpenAI, Google, and ElevenLabs.
- The model covers 60 languages with a 5.2% average word error rate on FLEURS, ranks second on Artificial Analysis, and runs 10x faster than OpenAI's GPT-Transcribe, bundling diarization, word-level timestamps, keyword biasing, and Hinglish/Spanglish code-switching.
- Available on Microsoft Foundry and MAI Playground, it targets frontier labs rather than specialists like Deepgram, though the FLEURS average rose from 1.5's 3.7% as broader coverage folded in low-resource languages, so buyers should request per-language breakdowns.
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🖥️ Nvidia tool links idle PCs for AI
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- Nvidia unveiled PAIR (Personal AI Router) at IFA 2026, a free, open-source tool that spreads AI agent workloads across idle PCs on a local network so subagents don't compete for a single GPU.
- PAIR scans the network, routes task requests to whichever machine is idle with spare capacity, and keeps the main PC free to game or work while distributed subagents handle split jobs like inbox triage.
- The beta runs on Windows, macOS, and Linux via GUI or terminal, supporting GeForce RTX 20 Series and newer, RTX PRO Turing-and-up, DGX Spark, and Apple M4 or newer, though it remains in beta.
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🇮🇳 Bodhan launches Indian-language AI for schools
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- Bodhan AI, an IIT Madras-incubated Centre of Excellence, has launched four foundational Indian-language models spanning speech recognition, speech generation, translation and OCR, built with AI4Bharat and released as open-weight digital public goods with hosted APIs.
- The models were trained and optimized using NVIDIA Nemotron open models and the NeMo framework for ASR, machine translation and OCR, letting edtech firms, startups and researchers fine-tune or call them via APIs without building foundational models themselves.
- Bodhan is also shipping Student TutorBot for Classes 6-12 aligned to NCERT and SCERT curricula and a Teacher Assistant Bot, supporting text and voice queries across 22 Indian languages on sovereign infrastructure with data-anonymisation protocols.
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