A tour of MLX, the on-device AI framework for Apple Silicon. This talk explores real-world applications from real-time vision and multimodal omni models to sub-100ms speech synthesis and video generation, all running locally. It highlights breakthrough techniques like Turbo Quant for 1M context and showcases community projects in robotics and native apps, arguing for a future where powerful AI runs without the cloud.
Anthropic's Claude Mythos Preview is a frontier AI model with emergent hacking capabilities so advanced it's being withheld from public release. This summary details its near 100x performance leap in exploit generation, the 'Project Glasswing' industry consortium for responsible disclosure, and practical advice for developers to secure AI-generated code in this new era of automated vulnerability discovery.
MCP Apps transform tools into interactive UI inside hosts like ChatGPT and VS Code. This summary covers the core architecture, the paradigm shift towards a 'new web' of composable UI, and the future of distributing applications in an agent-first world.
Boris Cherny, creator of Claude Code, discusses the future of software development at AI Ascent 2026. He argues that coding is effectively a solved problem, detailing his personal workflow of shipping dozens of PRs daily from his phone. Cherny explores the shift from typeahead to autonomous agents, the rise of cross-disciplinary generalist teams, and uses the printing press as an analogy for the coming democratization of software creation for all.
Baseten CEO Tuhin Srivastava discusses the explosive growth in AI inference, driven by the adoption of specialized and post-trained open-source models. He covers the strategic importance of owning the software layer on top of compute, navigating the severe GPU supply crunch with a multi-cloud fabric, the evolving landscape of AI workloads, and the operational lessons learned from scaling 30x in one year.
Nick Vasiloglou, VP of Research at Relational AI, analyzes the key trends from NeurIPS 2025, highlighting the most impactful and under-the-radar developments for industry professionals. The discussion covers the rise of data markets through real-time attribution, the sophisticated engineering behind capable small language models (SLMs), the explosion of AI for science, and the shift towards post-training models with real-world tools.