Llms

The conference that changed our minds about AI

The conference that changed our minds about AI

A deep dive into the [un]prompted AI security conference, the new Zero Day Clock initiative for vulnerability management, the emergent risks of autonomous AI agents, and the pervasive issue of burnout in the cybersecurity field.

Every Software Org is Dysfunctional • R. Parsons, G. Hohpe, B. O'Reilly & A. Harmel-Law • GOTO 2025

Every Software Org is Dysfunctional • R. Parsons, G. Hohpe, B. O'Reilly & A. Harmel-Law • GOTO 2025

A panel of distinguished architects—Rebecca Parsons, Gregor Hohpe, Barry O'Reilly, and Andrew Harmel-Law—discuss the multifaceted world of software architecture. They explore the inevitability of organizational dysfunction, the critical role of architects in decision-making, and the impact of non-deterministic technologies like Generative AI and quantum computing on system design and organizational change.

This Is The Next Industry AI Will Disrupt

This Is The Next Industry AI Will Disrupt

Onshore founder Dominic Vitucci discusses how AI is causing a tectonic shift in the accounting industry, moving from a model based on billable hours to one of technology-driven outcomes, and what this means for the future of the profession and the legacy firms that dominate it.

This Startup Built the Infrastructure Powering Voice AI

This Startup Built the Infrastructure Powering Voice AI

In a YC Founder Fireside chat, AssemblyAI founder Dylan Fox discusses his journey from a solo founder in 2017 to leading a major voice AI infrastructure platform. He covers the early challenges, the technological shifts that fueled growth, the development of intelligent, promptable voice models, and the lessons learned in scaling a deep-tech company.

AI That Learns While You Use It

AI That Learns While You Use It

Sudip Roy, Co-founder & CTO of Adaption Labs, discusses how "Adaptation" using gradient-free, inference-time techniques can solve the last 5% reliability gap that stalls enterprise AI adoption, offering a more dynamic and cost-effective alternative to traditional fine-tuning or simply waiting for the next frontier model.

How A Team Of 7 Keeps Breaking AI Benchmark Records

How A Team Of 7 Keeps Breaking AI Benchmark Records

Poetiq, a startup by former DeepMind researchers, has developed a recursive self-improvement meta-system that builds "reasoning harnesses" on top of existing LLMs. This approach avoids the costly "fine-tuning trap" and has achieved state-of-the-art results on benchmarks like ARC-AGI and Humanity's Last Exam by automatically optimizing prompts and discovering novel reasoning strategies.