OpenAI's o3-pro: Smarter, But Needs More Context

2025-06-12
OpenAI's o3-pro: Smarter, But Needs More Context

OpenAI slashed o3 pricing by 80% and launched the more powerful o3-pro. After early access, the author found o3-pro significantly smarter than o3, but simple tests don't showcase its strengths. o3-pro excels at complex tasks, especially with sufficient context, generating detailed plans and analyses. The author argues current evaluation methods are insufficient for o3-pro; future focus should be on integration with humans, external data, and other AIs.

Read more
AI

o1: Not a Chat Model, But a Powerful Report Generator

2025-01-18
o1: Not a Chat Model, But a Powerful Report Generator

This post details Ben Hylak's journey from initially disliking o1 to using it daily for critical tasks. He discovered o1 isn't a traditional chat model but functions more like a "report generator." Effective o1 usage hinges on providing extensive context, clearly defining goals, and understanding its strengths and weaknesses. o1 excels at one-shot generation of complete files, reduced hallucinations, explaining complex concepts, and medical diagnosis. However, it struggles with mimicking specific writing styles and building entire applications. The author shares tips for improving o1 efficiency and design suggestions for high-latency AI products like o1.

Read more

The 2025 AI Engineer Reading List: 50 Papers to Master the AI Frontier

2025-01-13
The 2025 AI Engineer Reading List: 50 Papers to Master the AI Frontier

Latent Space has released a curated reading list for AI engineers in 2025, covering ten key areas: LLMs, benchmarks, prompting, RAG, agents, code generation, vision, voice, diffusion models, and fine-tuning. The list comprises approximately 50 papers and blog posts, designed to help AI engineers build a strong foundation and gain practical skills. Instead of simply listing papers, the authors provide context and explanations, along with supplementary resources and community support.

Read more