{"id":2550,"date":"2024-10-10T10:50:16","date_gmt":"2024-10-10T10:50:16","guid":{"rendered":"https:\/\/www.andreaswacker.com\/blog\/?p=2550"},"modified":"2024-10-10T10:51:56","modified_gmt":"2024-10-10T10:51:56","slug":"state-of-ai-october-2024-edition","status":"publish","type":"post","link":"https:\/\/www.andreaswacker.com\/blog\/2024\/10\/10\/state-of-ai-october-2024-edition\/","title":{"rendered":"State of AI – October 2024 Edition"},"content":{"rendered":"\n

Actual AI usage for me is a mixed bag.<\/strong><\/p>\n\n\n\n

Recently, Google offered a free trial of their Gemini AI within Gmail. Unfortunately, my first interaction couldn\u2019t have gone worse:<\/p>\n\n\n\n

I received an invoice for a lawnmower repair. Out of curiosity, I clicked on the \u2728 icon to see if Gemini could generate a reply. To my surprise, it said it could not recommend a response because the email seemed suspicious. When I asked for more information, it claimed that the email was pretending to be from Capital One. I told it that this was not the case. Then it responded, \u201cYou\u2019re right, this email is pretending to be from Wells Fargo,\u201d which was equally false.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

If an AI fails on the very first task\u2014understanding the nature of a basic email\u2014how could it possibly be useful? How can Google ship such subpar software? I can\u2019t imagine the pressure they must be under! It\u2019s still surprising that they would risk making such a flawed system the first AI experience for many users.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

On the other hand<\/strong>, I had to cancel a DSL contract recently and found a more positive experience. I located the onboarding letter from the provider as a physical document, took a picture, and sent it to ChatGPT-4 with a request to generate a cancellation letter. Within two minutes, I had a completed draft\u2014no thinking required, except for verifying the numbers were transcribed correctly. This saved me at least ten minutes of tedious work. Quite nice!<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

In more mundane AI experiments,<\/strong> I spent some time reading Stephen Wolfram\u2019s latest essay on the nature of time<\/a>. Using a notebook-based language model, I got a decent summary and a good introduction to the material.<\/p>\n\n\n\n

Meanwhile, OpenAI\u2019s O1 preview did a good job explaining a few concepts and was patient in addressing my requests to relate the theory to other topics like quantum wave collapse, Hubble Tension, and the need for dark matter\/energy.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Another interesting angle into the state of AI<\/strong> is explored in the Lex Fridman podcast featuring the Cursor team<\/a>. It dives into the challenges and future possibilities of integrating AI into coding environments, providing insights into the ongoing development process.<\/p>\n","protected":false},"excerpt":{"rendered":"

Actual AI usage for me is a mixed bag. Recently, Google offered a free trial of their Gemini AI within Gmail. Unfortunately, my first interaction couldn\u2019t have gone worse: I received an invoice for a lawnmower repair. Out of curiosity, I clicked on the \u2728 icon to see if Gemini could generate a reply. 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