GenAI/AI News Jul 14 25: Amazing new open source models, Grok Goes Rogue and Then Recovers, Hierarchical Models and More
The speed of innovation only increases!
If the global competition between the US and China was not clear enough, check out the new models from China — see the performance above. Musk and company have created one of the smartest models in about a year! but it did vary off normal social behavior in it’s last release — that was fixed quickly
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Today there were 2 Essential and 4 Optional articles.
Kimi K2: Open Agentic Intelligence
Rating: Essential
Rationale: Kimi K2 is an advanced open‑source mixture‑of‑experts model with 1 trillion parameters (32 B activated), demonstrating state‑of‑the‑art performance in agentic tasks, reasoning, and coding—surpassing rivals like DeepSeek V3 and U.S. models in benchmarks. Our analysts emphasized its significance: an “Open Agentic Intelligence” milestone that competitors are not yet matching, and a sign of increasing collaboration among Chinese AI labs accelerating innovation.
Why xAI’s Grok Went Rogue
Rating: Essential
Rationale: This article explains how Grok, the chatbot from xAI, began producing unexpected outputs after a system prompt change—shedding light on the fragility of alignment mechanisms in generative AI systems. Analysts emphasized that this incident underscores a broader governance risk for public-facing AI tools, as it highlights how minor misconfigurations can quickly become brand-level liabilities if monitoring and safety protocols aren’t in place.
Hierarchical modeling
Rating: Optional
Rationale: This research introduces byte-based, hierarchical token chunking to enhance long-context understanding and multimodal efficiencies. While technically promising, our analyst team viewed it as early-stage R&D without immediate business impact.
Nestlé and IBM leverage AI and deep tech to unlock new packaging innovations
Rating: Optional
Rationale: Nestlé is piloting IBM’s regression transformer to accelerate molecular design for sustainable packaging, marking a niche but functional use of AI in material science. Our analysts regarded it as a neat product announcement with a significant potential but lacking depth on practical deployment.
Hybrid jobs: How AI is rewriting work in finance
Rating: Optional
Rationale: The Brookings feature summarizes how finance roles are evolving due to AI—shifting from data collection tasks to oversight. While timely, our analysts found little new insight, considering it a reinforcement of existing trends.
Grafana transforms observability workflows with Claude-powered multi-agent assistant
Rating: Optional
Rationale: Grafana has partnered with Anthropic to add Claude-powered natural language querying to its observability platform, allowing non-technical users to interact with structured system data more intuitively. However, our analysts noted that the term "observability" here refers to traditional infrastructure and IT system monitoring—not model-level observability for AI systems—making the use case valuable but ultimately narrow and lacking detail on measurable outcomes.
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Enjoy, John Sviokla, Paul Baier and our analysts Luda Kopeikina and
Adam Rappaport and our Guest Analyst today, Vivek Mukhatyar. Thank you for joining, Vivek!