AI - Using it in my job

First, operationalisation takes a long time, often revealing hidden potential in existing technologies. As Jack Clark notes, “if we stopped all AI progress today, there’s a huge capability overhang”. Even without further model development, building the right scaffolding can unlock surprising capabilities. This scaffolding isn’t just software; it in... See more

1. Pick the right agent : This is where your journey begins. Our system takes your question and decides which AI agent is best equipped to handle it. In this case, it recognizes your interest in accessibility within tech companies and routes your query to an AI agent specialized in general knowledge seeking questions.


2. Gather information : It’s time f

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The explosion of generative AI made us pause and consider what was possible now that wasn’t a year ago. We tried many ideas which didn’t really click, eventually discovering the power of turning every feed and job posting into a springboard to:

• Get information faster , e.g. takeaways from a post or learn about the latest from a company.


• Connect the

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Other examples include BNP Paribas, which this month announced it was in a partnership with model builder Mistral AI. TD Bank also said this month it was working with Cohere. Mousavizadeh said that the majority of banks are working with several model-makers on the market, including Meta Platforms’ Llama, Anthropic’s Claude, Google’s Gemini and Open... See more

The new tool, AI @ Morgan Stanley Debrief, which summarizes video meetings and generates drafts of follow-up emails based on them, was Morgan Stanley’s second generative AI use case built in collaboration with OpenAI. It follows the September 2023 rollout of its AI knowledge assistant tool that helps financial advisers quickly track down informatio... See more

that people are engaging in what Samuel Taylor Coleridge called "The Willing Suspension of Disbelief." This concept describes a participatory (rather than passive) cognitive or imaginative stance that we willingly and strategically adopt towards various media—be it AI, novels, movies, or even wrestling matches.

We consciously choose this position to... See more

I wrote a Python script a few weeks ago to get an AI agent to play a coach and another AI agent to play a coachee. The way they bounced off one another was a great insight on what refinements would enable AI to facilitate more resonant, higher fidelity coaching as opposed to a conversation driven by relevance and people's preferences.

So, Apple decided to reduce the danger of misuse or error. They have turned Siri into a Copilot. You see these sorts of Copilots appearing in many products - very narrow AI systems designed to help with specific tasks. In doing so, they hide the weirder, riskier, and more powerful aspects of Large Language Models.

I love the future scenario planner gpt. I am giving a talk about the future of talent assessment and it provided me with some great insight. The theme of my talk is - we suck at prediction but it is an existential must for the collective human mind. And while we may suck at it, it inspires us to create. Even if we miss the mark, we end up creating ... See more