Learn how Postman mapped 115 microservices into an API context graph to enable coding agents to function across complex, distributed systems. Discover how to improve API discovery and impact assessment.
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An in-depth comparison of Opus 5 vs. Opus 5.5 reveals that while the newer model improves writing flow, both still struggle with 'slop' and require heavy human editing for technical content.
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Choosing the right STT model (Async, Sync, Realtime) depends on latency, cost, and whether a user is waiting for text. Learn the framework for building voice agents with Universal 3.6 Pro and avoid common API pitfalls.
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Learn how ML compilers progressively lower PyTorch graphs to efficient CUDA kernels. We explore the IR stack: from PyTorch to Loop IR, Tiling, and Kernel IR, detailing fusion and scheduling.
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AI News & Strategy Daily | Nate B Jones
Google's $10M bid for old work emails highlights the gap between the performance of work (data records) and the actual value of knowledge work. Understanding this difference is crucial for AI development.
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The future of building complex products lies in agent-driven systems. We explore multi-agent frameworks like Da Vinci for automated QA, self-hosting inference, and how agent players are revolutionizing MMORPGs.
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Discover how EmbeddingGemma 2 enables advanced, offline multimodal search on mobile devices. Use natural language to find photos and specific moments in videos using semantic similarity.
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The economics of AI inference are dominated by agentic workflows, which use significantly more tokens than basic chat. Scaling requires co-design across model, system, and software layers to minimize cost per token.
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Building AI-native apps requires a unified data layer. We explore how ClickHouse handles vector search, real-time event ingestion, and complex agentic workflows, making it a single platform from first feature to complex agent.
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Periodic Labs argues that scientific discovery requires reasoning under physical uncertainty, necessitating 'synthesis superintelligence.' They are building AI systems that integrate high-throughput labs, DFT, and XRD to accelerate materials discovery.
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Bigger context windows won't save your AI agents. Learn why models lose information in the middle and master the four strategies of Context Engineering: Externalize, Select, Compress, and Isolate.
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AI is accelerating the threat landscape, making traditional security metrics like 'breakout time' obsolete. Securing AI requires deep observability, architectural resilience, and leveraging massive compute power to train defensive models.
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See how Gemini 3.8 Live processes 120 fps motion capture data to deliver real-time, conversational coaching cues for improving a golf swing.
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This talk covers the systems and algorithmic challenges behind making globally distributed RL work at scale. We will discuss how we decouple training from inference, propagate compressed weight updates across datacenters, and design the infrastructure to tolerate frequent hardware failures.
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AI attackers are faster than traditional pen tests. To keep up with the volume of insecure code generated by LLMs, security must shift to continuous, multi-agent offensive security running on every PR.
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Stop using generic metrics and off-the-shelf LLM judges. The key to AI evaluation is always looking at your data first, using custom annotation tools, and validating judges with human labels.
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Learn to cut AI costs by shifting focus from cost per token to cost per task. Discover advanced levers like Prompt Caching, Programmatic Tool Calling, and Batch APIs to optimize your AI workflows.
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Codex Cloud allows agents to run tasks in managed environments, eliminating the need for local infrastructure upkeep. The system supports private resource access using Tailscale and OIDC, enabling secure, scalable development.
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Discover how OpenAI's teams use ChatGPT as an agentic teammate to automate complex workflows, from monitoring social feeds to scaling competitive research. Learn about Spaces and Dots.
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Higgsfield enables developers to build complex, interactive media using agentic systems that self-provision compute and choose optimal models like Astra, democratizing high-end content creation.
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