849: 2025 AI and Data Science Predictions, with Sadie St. Lawrence
Super Data Science: ML & AI Podcast with Jon Krohn
Deep Dive
What was the 'comeback of the year' in AI for 2024 according to Sadie St. Lawrence and Jon Krohn?
Google was named the 'comeback of the year' for 2024 due to its significant advancements in AI, including the release of Gemini 2.0, Willow AI Studio, and Notebook LM, which helped it regain a competitive position in the AI landscape.
Why was OpenAI considered the 'disappointment of the year' in 2024?
OpenAI was considered the 'disappointment of the year' because it failed to meet the high expectations set by its previous innovations, such as GPT-3 and GPT-4. Despite releasing the O1 model, the anticipated breakthroughs in scaling and capabilities did not materialize as expected.
What was the 'wow moment of the year' in AI for 2024?
The 'wow moment of the year' was OpenAI's O1 model, which introduced slow thinking capabilities, allowing AI to break down complex tasks into intermediate steps and validate each step, significantly enhancing logic, reasoning, and mathematical tasks.
What is the primary focus of Sadie St. Lawrence's prediction for AI in 2025?
Sadie St. Lawrence predicts that agentic AI will be the dominant trend in 2025, moving beyond single applications to create specialized networks that can autonomously handle complex tasks, though challenges around security and permissions between platforms remain.
How does Sadie St. Lawrence see AI integration into everyday devices evolving in 2025?
Sadie predicts that AI integration into everyday devices will accelerate in 2025, with advancements like augmented reality glasses offering real-time translation and more sophisticated personal computing experiences, though not all integrations will prove valuable.
What impact does Sadie St. Lawrence expect AI to have on scientific research in 2025?
Sadie expects AI-driven scientific research to expand significantly in 2025, building on current successes where AI-assisted researchers achieved 44% more new material discoveries and 39% more patents than researchers who weren't AI-assisted.
What is the key challenge in enterprise AI monetization as discussed by Sadie St. Lawrence?
The key challenge in enterprise AI monetization is ensuring profitability while addressing security and privacy concerns. Many AI projects get stuck in proof-of-concept purgatory due to difficulties in making them cost-effective and secure for production environments.
What skills does Sadie St. Lawrence predict will be in high demand in 2025?
Sadie predicts that demand for AI engineering skills will surpass traditional data science skills in 2025, though this represents an evolution of the role rather than a replacement, requiring practitioners to build on existing technical foundations with new AI engineering capabilities.
- Sadie's predictions for 2024 included increased demand for GPUs, LLMs transforming human-machine interaction, advancements in LLM capabilities beyond scaling, tool consolidation via LLM APIs, and workplace upheaval due to AI.
- Three out of five predictions were deemed highly accurate.
- The prediction about LLMs as a new operating system was considered partially accurate, with more development needed.
- The prediction regarding workplace upheaval highlighted the impact of AI on tech jobs and the need for skill adaptation.
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