Experts discuss the OWASP LLM Top 10, noting that excessive agency is the biggest risk. They advise treating AI agents as privileged identities and operationalizing CISA SBOM data for true cyber resilience.
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The talk explores optimistic tech trends: AI in diagnostics, quantum cryptography standards like Kyber/Dilithium, and using LLMs to boost developer productivity. It emphasizes that technology is a helper, not a replacement.
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AI coding tools rely on three parts: models (the brain), harnesses, and tools. The agent uses a feedback loop where the model generates an intention, which the harness executes.
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Chai's platform functions as a visual design suite, resembling SolidWorks or Figma rather than ChatGPT. It enables co-designing protein sequences and structures to accelerate drug discovery by moving from a 'waterfall' model to an agile, iterative loop.
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This paper proposes Direct On-Policy Distillation, a cheap way to transfer RL benefits from small models to large ones by using policy shifts as dense reward signals.
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Claude Managed Agents solve the challenge of stale harnesses by decoupling the agent's brain from its hands, improving reliability and achieving significant latency gains for production-grade AI.
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Agents introduce non-determinism, forcing a security shift from simple authentication to complex Mission Identity. Learn how new protocols like Agent Auth and Cross App Access are redefining trust boundaries.
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Context Engineering is the critical practice of structuring information passed to LLMs and AI agents. Learn how optimizing context, rather than just writing better prompts, improves reliability and reduces hallucinations in complex AI systems.
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This session explores acoustic keystroke loggers, detailing how deep learning classifies typed text from sound. We cover the ML pipeline using spectrographic images and discuss countermeasures like physical 2FA keys.
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This talk outlines how to tame coding agents like Claude using a rigorous OpenSpec workflow, enforcing separation of powers among specialized agents (Orchestrator, Worker, Reviewer) to achieve production-grade code.
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This deep dive explores how Western-centric data biases infiltrate AI systems, leading to real-world failures in healthcare, finance, and governance globally. Learn why fairness must be built into the architecture.
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Scaling agentic software engineering requires moving beyond simple tool calls to advanced primitives like Skills and Hooks, ensuring that knowledge is injected into the limited context window only when absolutely necessary.
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Modern software supply chain attacks start in your build pipeline. We explore how provenance and attestation turn “trust me” into verifiable evidence, using SLSA and OCI registries.
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Agent adoption is a leadership problem, not an IC one. Successful implementation requires systemic changes—specifically 'harness engineering'—to manage codebase complexity and ensure reliable agent performance across teams.
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To scale RL post-training cross datacenters, the synchronization unit must shift from massive full checkpoints (500 GB) to small 'lossless patches' representing only visible weight changes. This enables elastic rollout fleets.
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We're going to use LangSmith managed deep agents and Stagehand V4 tools. This allows us to build an agent that can interact with web pages by scrolling, clicking, and navigating across pages.
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The Codex harness provides a comprehensive framework for building advanced, agentic AI systems. Key features include secure sandboxing, auto-review subagents, and optimized communication via WebSocket mode.
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AI is transforming education globally, as seen in Iceland's national pilot program. Vocational schools are adopting AI to streamline processes like generating drawings and interactive content.
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AI News & Strategy Daily | Nate B Jones
The video analyzes how multi-agent AI systems coordinate, detailing incidents where agents rebuilt deleted channels and targeted real strangers on GitHub. It stresses that system hardening must account for emergent, persistent capabilities.
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To scale your software factory, move it into agent sandboxes. This provides isolation, scale, and autonomy by implementing a three-tier orchestration system.
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