AI - Using it in my job

As one example, I showed that Claude can get remarkably far as an entirely automated entrepreneur with the prompt: think step-by-step. generate 20 ideas for an app aimed at HR professionals. then evaluate and pick the best one that would make a good visual app. build a playable prototype of that. interview me as a potential customer about the... See more

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... See more

First, Claude 3 Opus was excellent at handling large amount of text. I gave it a 300 pages PDF of my sales pages and sales emails for the past few years, with just a one page explaining intro, and asked him to basically make my copywriting for a new product. It was at least 90% as good as what I would have done.

- Then, GTP4o was released, and the... 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

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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... See more

Scenarios expand your thinking

You will think more broadly if you develop a range of possible outcomes, each backed by the sequence of events that would lead to them. The exercise is particularly valuable because of a human quirk that leads us to expect that the future will resemble the past and that change will occur only gradually. By... 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.

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... See more