Sunday, June 7, 2026
GPT-5.5 hacked an app 7/10 times
ChatGPT just upgraded its memory for better context across chats, NVIDIA dropped their open-source Nemotron 3 Ultra models for agentic workflows, and in somewhat terrifying news, one researcher found GPT-5.5 successfully hacked a vulnerable Firebase app 7 out of 10 times (yikes) while most other LLMs couldn't crack it. Meanwhile, Microsoft's getting serious about responsible AI, releasing their internal standard as mandatory requirements and detailing how their RAISE team operationalizes AI safety into actual engineering practice—bold move making it all public. Would you trust an LLM to pen-test your app?
Top Stories
OpenAI
OpenAI is rolling out an upgraded memory system for ChatGPT that maintains context across conversations, making interactions more personalized and coherent over time.
NVIDIA
NVIDIA released Nemotron 3, an efficient open-source model family for agentic AI featuring hybrid MoE architecture that delivers superior performance and 2-3x higher throughput than competing models while supporting 1M token context. The company is open-sourcing models, training data (2.5T+ tokens), and recipes to advance the AI ecosystem.
Kasra's Blog
A researcher tested 15+ LLMs on their ability to hack a vulnerable app with a common Firebase misconfiguration, spending $1,500 in the process. GPT-5.5 succeeded 70% of the time while most other models failed due to guardrails, incorrect approaches, or giving up prematurely.
Microsoft
Microsoft published its internal Responsible AI Standard v2, establishing mandatory requirements for AI development including impact assessments, fairness evaluations across demographic groups, transparency documentation, human oversight mechanisms, and ongoing monitoring. The framework operationalizes Microsoft's AI principles into actionable guidelines for product teams while remaining a 'living document' open to external feedback.
Microsoft
Microsoft reveals its comprehensive responsible AI implementation framework, including governance structures, a Responsible AI Standard with concrete requirements, a sensitive use review process that has processed 200+ cases, mandatory employee training, and integrated engineering tools. The company emphasizes that translating AI principles into practice requires systematic processes, cultural change, and continuous learning.
Keep Reading
Industry Voices
Harry Shum
Executive Vice President of Microsoft AI and Research Group at Microsoft
Follow for insider perspective on how Microsoft's massive AI research bets translate into actual products like Copilot and Azure AI.
Brad Smith
President and Chief Legal Officer at Microsoft
Follow for the legal and regulatory battles shaping AI's future, from content licensing deals to antitrust fights.
Nat Friedman
Investor
Follow for contrarian takes on AI infrastructure and early signals on which developer tools will actually matter.
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