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Raza Habib

03/01/23

@ Y Combinator

Despite criticisms, OpenAI and DeepMind have been transparent about their methodologies, making it easier for others to replicate models like GPT-3 if they can secure enough compute and talent.

Video

The REAL potential of generative AI

@ Y Combinator

The REAL potential of generative AI

03/01/23

Related Takeaways

Garry Tan

01/24/25

@ Y Combinator

OpenAI's release of GPT-2 in November 2019 marked a significant milestone with 1.5 billion parameters, followed by GPT-3, which was over 100 times larger and more capable than its predecessor.

Y Combinator Cast

01/24/25

@ Y Combinator

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

Y Combinator Cast

02/06/25

@ Y Combinator

R1 achieves comparable performance to OpenAI's models on certain math and coding benchmarks, but the pace of innovation is accelerating, as evidenced by OpenAI's release of GPT-3.5 just two weeks after R1.

Alexandr Wang

11/14/23

@ Accel

The rules of AI businesses are being rewritten; for instance, OpenAI's investment in training models like GPT-4 was speculative but necessary for innovation.

Lex Fridman Cast

02/03/25

@ Lex Fridman

The cost of running inference on models like GPT-3 has drastically reduced, making advanced intelligence more accessible.

Y Combinator Cast

03/11/25

@ Y Combinator

OpenAI revealed GPT-4.5 as a model capable of reasoning and systematically thinking through complex problems, clearly surpassing GPT-4 in mathematics, coding, and logical tasks.

Paul Buchheit

08/10/24

@ Y Combinator

The development of large language models (LLMs) like GPT-2 marked a significant turning point for OpenAI, showcasing the potential of AI.

Y Combinator Cast

01/24/25

@ Y Combinator

With the release of GPT-3, it seems the sky is the limit for this new paradigm of scaling large language models.

Y Combinator Cast

03/11/25

@ Y Combinator

GPT-4.5 is OpenAI's largest and most humanlike model to date, representing a significant step in scaling up unsupervised learning and achieving a deeper understanding of the world and human experience.