Tokenless

Ai hardware

The 2045 Superintelligence Timeline: Epoch AI’s Data-Driven Forecast

The 2045 Superintelligence Timeline: Epoch AI’s Data-Driven Forecast

Epoch AI researchers discuss the AI landscape, arguing against a bubble due to strong enterprise spending and profitability. They forecast significant economic shifts, including a potential 30% GDP growth with advanced AI and the automation of 10% of current jobs this decade. The summary covers the unlikelihood of a software-only singularity, the reality of data center buildouts (with Anthropic surprisingly in the lead), and why energy 'bottlenecks' are economic trade-offs, not hard limits. Also explored are timelines for AI solving major mathematical problems and why robotics remains primarily a hardware challenge.

A Conversation with Sam and Jony

A Conversation with Sam and Jony

Sam Altman and Jony Ive discuss their collaboration on new AI hardware, exploring a design philosophy rooted in care, craft, and improving human well-being. They delve into the creative process, the challenges of building amidst rapid technological change, and their vision for AI-powered tools that are intuitive, joyful, and foster genuine connection rather than anxiety.

921: NPUs vs GPUs vs CPUs for Local AI Workloads — with Dell’s Ish Shah and Shirish Gupta

921: NPUs vs GPUs vs CPUs for Local AI Workloads — with Dell’s Ish Shah and Shirish Gupta

Shirish Gupta and Ish Shah from Dell Technologies explore the evolving landscape of AI hardware. They discuss why Windows, enhanced by WSL 2, remains a dominant platform for developers, and delve into the distinct roles of CPUs, GPUs, and the increasingly important Neural Processing Units (NPUs). The conversation covers the trade-offs between local and cloud computing for AI workloads and introduces new hardware, like workstations with discrete NPUs, that are making on-device AI more powerful and accessible than ever.

Dylan Patel on GPT-5’s Router Moment, GPUs vs TPUs, Monetization

Dylan Patel on GPT-5’s Router Moment, GPUs vs TPUs, Monetization

A deep dive into the AI hardware landscape, exploring NVIDIA's dominance, the challenges for competitors like custom silicon and startups, and the critical infrastructure bottlenecks of power and data centers that define the next phase of the AI race.