OpenAI Bets 90% on GPT-7, Skipping Small Fixes

Boris Power, Head of Applied Research at OpenAI, laid out the company's internal roadmap during the Fellows Forum. The overwhelming majority of research firepower is no longer preoccupied with polishing current tools, focusing instead on long-range frontier horizons like GPT-7, GPT-8, and subsequent architectures.

Minor point-releases and incremental updates within existing generations are treated merely as short-term tactical investments designed to gather telemetry data and validate experimental hypotheses on live users. The overarching strategy relies exclusively on monumental leaps in raw model capability.

This grand architecture relies on a strict teacher-student hierarchy. Larger frontier systems like GPT-6 Astra will serve as massive neural instructors, compressing their knowledge through distillation into nimble, highly specialized engines like GPT-6 Luna.

Internal evaluations also revealed that everyday users rarely understand what existing models are capable of achieving, making proactive UX and predictive intent-detection the final major engineering frontier alongside scaling.

Pouring monstrous computational power into hyper-intelligent future minds while humanity continues using existing state-of-the-art networks mostly to rephrase basic emails remains the ultimate industry irony. The silicon deities are speeding ahead into deep space, leaving ordinary users squinting at the launchpad.