Author(s): Derrick Mwiti

Originally published on Towards AI.

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The “State of AI Report 2024” just dropped. Here are the biggest highlights.

Let’s start with the most exciting part: research. AI has seen incredible developments across multiple fields. Large language models (LLMs), like GPT-4 and Claude 3.5, have drastically closed the performance gap between labs, scoring nearly identical on important benchmarks like factual recall and mathematical reasoning. But OpenAI isn’t just sitting back — their new o1 model is a game-changer, with the ability to solve complex math problems through enhanced inference, using a step-by-step reasoning approach.

One example from the report shows OpenAI’s o1 model scoring 83.83 on the 2024 AIME (a math competition), which is an astronomical leap compared to its predecessor.

While we celebrate these advancements, we must acknowledge the challenges that accompany them. One major concern is the cost of deploying AI models. As noted in the report, the expense associated with processing tokens in models like OpenAI o1 is staggering — around $15 per million input tokens and $60 for output tokens. This raises questions about accessibility. If only a few companies can afford to develop and deploy the most advanced… Read the full blog for free on Medium.

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Published via Towards AI