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Sam's News — ai — 2026-07-31

TL;DR

Security

Cyberattacks on Minnesota water systems linked to Iranian hackers

Officials are investigating cyberattacks on more than 30 Minnesota water systems in late July 2026, with experts suspecting Iranian hackers given Tehran's history of targeting water infrastructure.

  • Attacks occurred July 27-28, 2026
  • Over 30 community water systems targeted
  • Attribution not yet confirmed by state officials

Sources: SecurityWeek Research, CISO Series RSS, Dark Reading RSS, Wired RSS

Cequence brings agentic zero trust security for business AI deployment

Cequence introduced agentic zero trust framework across MCP, API, and LLM to enable safe business-wide AI agent deployment.

Sources: Zawya RSS

Practical code-level threat discovery using LLM techniques

LLM-based approaches enable practical and cost-effective discovery of code-level security vulnerabilities.

Sources: Security Affairs RSS

AI

GCC bans LLM-derived code to protect GPLv3 license

GNU Compiler Collection banned code derived from large language models to preserve the integrity of GPLv3 copyright chains.

Sources: Tech Times RSS

Moonshot AI takes sharp turn shutting down products for independent LLM development

miHoYo founder Cai Haoyu's AI startup Moonshot shut down products to pivot toward independent LLM and AI agent development.

Sources: finance.biggo.com RSS

LG AI Research unveils 750-billion-parameter AI model

LG AI Research announced development of a new 750-billion-parameter large language model.

Sources: newsarticleinsiders.com RSS

Peec AI adds Mistral tracking covering 10+ LLMs globally

Peec AI expanded to track 10+ large language models across the US, China, and Europe including newly added Mistral coverage.

Sources: markets.businessinsider.com RSS

Education

5 books deepen understanding of large language models

KDnuggets compiled five essential books for deeper comprehension of large language models and their theory.

Sources: KDnuggets RSS

Development

Stop hardcoding to single LLM vendor to avoid tech debt trap

Multi-vendor LLM architecture guidance warns that locking into a single vendor creates $200K+ technical debt risk.

Sources: HackerNoon RSS

Robotics

TurboVLA robot AI matches 7B models without language models at 32Hz

TurboVLA demonstrated that robots can achieve 7B-parameter model performance without using language models on consumer GPUs.

Sources: Tech Times RSS