The new AI reality: what's happening now and what's next?

 (This was re-posted from a blog post I recently wrote on Orbital Witness's Tech Blog)

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Annual keynote to law firm real estate partners

Context

A year ago Orbital Witness held our annual event where I spoke about “Generative AI: Opportunities and risks for property transactions”. Earlier this month, we continued this tradition by hosting ‘The AI Edge: Real-world Lessons for Real Estate Lawyers’. Taking place at Google HQ, we brought together real estate partners from some of the leading law firms in the UK to share the latest developments in Generative AI and how it is currently revolutionising real estate legal.

I gave the keynote presentation which started by setting the scene for where we are on the innovation S-Curve. I then delved into a range of important aspects of Generative AI for real estate lawyers such as model intelligence, context window size, model cost & speed, proprietary vs open-weight models, AI Agents, multi-modality and use cases in real estate legal. During the discussion, I was also able to contextualise for the audience the trajectory of Orbital Copilot, our own AI legal assistant, as we continue to innovate the product and as Generative AI advances.

This visual sums up the incredible achievement of what’s now possible at the bleeding edge of Generative AI when combining large language models (LLMs) within an AI Agent framework and focusing on a specific practice area, real estate legal, in order to provide turnkey solutions to customers:

Presentation

Here is the full 40 minute video of the keynote:

Slide Deck

Here is the complete slide deck I presented for my keynote with references below:

Slide 6: https://www.tooltester.com/en/blog/chatgpt-statistics

Slide 11: https://www.ben-evans.com/presentations

Slide 19: https://public.flourish.studio/visualisation/18163738

Slide 24: https://www.linkedin.com/feed/update/urn:li:activity:7183400918934016001

Slide 25: https://twitter.com/AIExplainedYT/status/1793561610730320338

Slide 27: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4389233

Slide 28: https://www.youtube.com/watch?v=PeSNEXKxarU

Slide 29: https://mmmu-benchmark.github.io

Slide 32: https://x.com/LibertyRPF/status/1658497036080017408

Slide 42: https://www.linkedin.com/feed/update/urn:li:activity:7183501457684365314

Slide 42: https://www.youtube.com/watch?v=DQacCB9tDaw

Slide 44: https://preshing.com/20120208/a-look-back-at-single-threaded-cpu-performance

Slide 47: https://ai.meta.com/blog/meta-llama-3

Slide 48: https://x.com/maximelabonne/status/1790519226677026831

Slide 52: https://tech.orbitalwitness.com/posts/2023-06-27-genai-opportunities-and-risks-for-property-transactions

Slide 53: https://tech.orbitalwitness.com/posts/2024-01-10-we-built-an-ai-agent-that-thinks-like-a-real-estate-lawyer

Slide 55: https://lilianweng.github.io/posts/2023-06-23-agent

Slide 56: https://sierra.ai

Slide 58: https://www.paulweiss.com/resources/podcasts/waking-up-with-ai/waking-up-with-ai-list/2024/april/ep-6-autonomous-ai-agents-are-a-hot-topic-for-2024

Slide 69: https://www.ben-evans.com/benedictevans/2024/4/19/looking-for-ai-use-cases