Before the public launch of GPT-4, we had law firms using our AI without knowing it was powered by GPT-4, and they were amazed by its capabilities, completing tasks that previously took a whole day in just minutes.

The release of GPT-4 marked a significant turning point, as it performed much better than previous models, achieving results that surpassed 90% of test takers in legal assessments.

After gaining early access to GPT-4, we developed a groundbreaking product that allowed us to add millions of dollars in revenue monthly, demonstrating the transformative power of AI in legal work.

GPT-3 represents a huge leap forward, not just a small improvement over its predecessors, and researchers believe this trajectory will continue.

The GPT architecture excels at efficiently absorbing and generalizing data, but as compute resources grow, data becomes the bottleneck, necessitating algorithmic innovations to learn more from the same amount of data.

The main advantages of GPT-4 include faster response times, sharper reasoning that reduces misunderstandings, and more natural language that feels relatable rather than robotic.

The transition from GPT-3 to GPT-4 marked a significant moment where users began to see real value in the technology.

GPT-3 made headlines by smashing benchmarks previously considered out of reach for AI, excelling in software engineering, math, and PhD-level science questions.

GPT-4.5 is potentially more than 10 times the size of GPT-4, representing a step forward in both pre-training and post-training processes.