- Anthropic is preparing for an IPO among the largest in history, thanks to Claude being highly favored by programmers and Claude Code having written over 4/5 of the source code published in May, a sharp increase from just a few percent previously.
- Benchmarks from METR show that early 2025 models could only complete tasks taking humans nearly an hour, whereas the new generation handles work spanning more than a full workday.
- Co-founder Jack Clark predicts a 60% probability that by the end of 2028, AI will be capable of creating its next generation entirely without humans, unlocking recursive self-improvement.
- Recursive self-improvement enables each version to create a more powerful successor, sparking fears that superintelligence will accelerate beyond control and replace human roles.
- Google DeepMind’s AlphaEvolve reduced Google’s global computing usage by 0.7% and accelerated Gemini’s training by about 1%, while Autoresearch cut Nanochat’s training time from over two hours down to one hour and thirty-nine minutes.
- Experts warn that limitations from computing infrastructure, training data, and customer demands could still slow down the AI self-improvement process in its initial phases.
- 📌 Conclusion: An analysis of AI’s potential to progress toward developing its next generation independently rather than relying on engineers. Claude is currently creating the majority of Anthropic’s source code, while AlphaEvolve and Autoresearch have demonstrated AI-driven research optimization with improvements such as a 0.7% reduction in computing, a 1% increase in training speed, and cutting training time down to 1 hour 39 minutes. However, computing infrastructure, data, and safety remain critical barriers before recursive self-improvement becomes a reality.
