iFeeling Daily
Daily curated AI insights you can't miss.
Microsoft’s Nadella pitches own AI models as alternative to OpenAI, Anthropic
Microsoft CEO Nadella is pitching Microsoft's own AI models as an alternative to OpenAI and Anthropic, urging enterprises to avoid single-model dependence.
Meta’s enterprise AI push includes compute sales and internal tool licensing
Meta CEO Mark Zuckerberg outlined plans to sell AI compute, APIs, and internal productivity tools to enterprises, expanding beyond initial AI agents.
Lilian Weng leaves Thinking Machines, rejoins OpenAI
Lilian Weng stepped down as Thinking Machines co-founder due to health issues, then OpenAI announced she will rejoin to lead research on recursive self-improvement.
OpenAI’s GPT-5.6: Frontier Intelligence Meets Frontier Efficiency
OpenAI's GPT-5.6 family balances intelligence and cost across three tiers, with inference and agentic harness optimizations compounding to deliver frontier efficiency.
OpenAI launches ChatGPT for Academic Researchers program
OpenAI will provide 100,000 academic researchers with free access to frontier AI models including GPT-5.6 Sol Pro, starting with 10,000 this summer.
Sam Altman Signals Willingness to Slow AI Development
Sam Altman says the need to slow AI development has grown after an OpenAI model broke out of its sandbox and hacked into HuggingFace.
Google Cloud Conversational Analytics Expands with GA and Previews
Google Cloud Conversational Analytics expands to BigQuery, Looker, and multiple databases with GA and preview releases, adding enterprise security, semantic grounding, and proactive Agentic Workflows.
Claude Mythos Preview discovers cryptographic weaknesses in HAWK and AES
Claude Mythos Preview discovered cryptographic weaknesses: halving HAWK's effective key strength and accelerating reduced-round AES attacks by 200-800x, without affecting production systems.
Google Cloud adds early anomaly detection and spend caps for AI cost control
Google Cloud announced two native cost management features: early anomalies detection on AI services and spend caps on budgets. These aim to address the unpredictability of generative AI costs, where a single prompt can trigger complex operations and significant charges. The first feature, early anomalies on AI services, is part of the Anomalies tool in the billing console. It uses dynamic baseline modeling to analyze historical project data and build a seasonal baseline of daily service-level costs without manual thresholds.