FAANG - Robotic Content

Real-world reasoning: How Amazon Nova Lite 2.0 handles complex customer support scenarios

by AI Generated Robotic ContentFAANG December 10, 2025Comments are Disabled

Artificial intelligence (AI) reasoning capabilities determine whether models can handle complex, real-world tasks beyond simple pattern matching. With strong reasoning, models can identify problems from ambiguous descriptions, apply policies under competing constraints, adapt tone to sensitive situations, and provide complete solutions that address root causes. Without robust reasoning, AI systems fail when faced with nuanced …

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From adoption to impact: Putting the DORA AI Capabilities Model to work

by AI Generated Robotic ContentFAANG December 10, 2025Comments are Disabled

The 2025 State of AI-assisted Software Development report revealed a critical truth: AI is an amplifier. It magnifies the strengths of high-performing organizations and the dysfunctions of struggling ones. While AI adoption is now near-universal, with 90% of developers using it in their daily workflows, success is not guaranteed. Our cluster analysis of nearly 5,000 …

How AWS delivers generative AI to the public sector in weeks, not years

by AI Generated Robotic ContentFAANG December 9, 2025Comments are Disabled

When critical services depend on quick action, from the safety of vulnerable children to environmental protection, you need working AI solutions in weeks, not years. Amazon recently announced an investment of up to $50 billion in expanded AI and supercomputing infrastructure for US government agencies, demonstrating both the urgency and commitment from Amazon Web Services …

SO-Bench: A Structural Output Evaluation of Multimodal LLMs

by AI Generated Robotic ContentFAANG December 6, 2025Comments are Disabled

Multimodal large language models (MLLMs) are increasingly deployed in real-world, agentic settings where outputs must not only be correct, but also conform to predefined data schemas. Despite recent progress in structured generation in textual domain, there is still no benchmark that systematically evaluates schema-grounded information extraction and reasoning over visual inputs. In this work, we …

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Using MCP with Web3: How to secure agents making blockchain transactions

by AI Generated Robotic ContentFAANG December 6, 2025Comments are Disabled

At Google Cloud, we sit at a unique intersection of two transformative technologies: AI and Web3. The rise of AI agents capable of interacting with blockchains opens up a world of automated financial strategies, fast payments, and more complex scenarios like executing complex DeFi operations and bridging assets across multiple chains. However, the practical viability …

Engineering more resilient crops for a warming climate

by AI Generated Robotic ContentFAANG December 5, 2025Comments are Disabled

Scientists are using AlphaFold to strengthen a photosynthesis enzyme for resilient, heat-tolerant crops.

Building Trust at Scale

by AI Generated Robotic ContentFAANG December 5, 2025Comments are Disabled

The Next Generation of Audit Logging at Palantir Every day, organizations entrust Palantir platforms with their most sensitive data and critical operations. From government agencies coordinating national security missions to healthcare providers safeguarding patient information to financial institutions detecting fraud, our customers depend on us to help them make decisions that matter. This trust isn’t given …

AV1 — Now Powering 30% of Netflix Streaming

by AI Generated Robotic ContentFAANG December 5, 2025Comments are Disabled

AV1 — Now Powering 30% of Netflix Streaming Liwei Guo, Zhi Li, Sheldon Radford, Jeff Watts Streaming video has become an integral part of our daily lives. At Netflix, our top priority is delivering the best possible entertainment experience to our members, regardless of their devices or network conditions. One of the key technologies enabling this is AV1, …

Accelerate model downloads on GKE with NVIDIA Run:ai Model Streamer

by AI Generated Robotic ContentFAANG December 5, 2025Comments are Disabled

As large language models (LLMs) continue to grow in size and complexity, the time it takes to load them from storage to accelerator memory for inference can become a significant bottleneck. This “cold start” problem isn’t just a minor delay — it’s a critical barrier to building resilient, scalable, and cost-effective AI services. Every minute …

Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language

by AI Generated Robotic ContentFAANG December 4, 2025Comments are Disabled

Automated interpretability aims to translate large language model (LLM) features into human understandable descriptions. However, these natural language feature descriptions are often vague, inconsistent, and require manual relabeling. In response, we introduce semantic regexes, structured language descriptions of LLM features. By combining primitives that capture linguistic and semantic feature patterns with modifiers for contextualization, composition, …