121–130 of 141 posts
I even have an automated x account @alarmsglobal
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You might want this? It's more technical than the one you linked to: https://platform.openai.com/docs/changelog
Does this show "Invalid DateTime" only for me? Kinda ironic! https://i.imgur.com/ZAcwhxT.png
Recently someone shared a link to one of their chat sessions here, and it reliably 404'd for me but not others.
This is the prompt describing the function call parameters: When calling the automation, you need to provide three main parameters: 1. Title (title): A brief descriptive name for the automation. This helps identify it at a glance. For example, "Check for recent news headlines". 2. Prompt (prompt): The detailed instruction or request you want the automation to follow. For example: "Search for the top 10 headlines from…
What is the source for that claim?
Resource URL: https://cdn.oaistatic.com/assets/jbl0aowda306m4s1.js Source Map URL: jbl0aowda306m4s1.js.map
Also I am getting`Unable to display this message due to an error.`a lot.
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Yeah I don't think we're going to come closer to a real AGI until we manage to make a model that can actually understand and think. An LLM sounds smart but it just picks the most likely response from the echoes of a billion human voices. I'm sure we'll get there but not with this tech. I'm pretty sure even be OpenAI said this with their 5 steps to AGI, LLMs were only step 1. And probably the part that will do the tal…
> An LLM sounds smart but it just picks the most likely response from the echoes of a billion human voices. This is where reasoning models come in. Train models on many logical statements then give them enough time to produce a chain of thoughts that’s indistinguishable from “understanding” and “thinking”. I’m not sure why this leap is so hard for some people to make.
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That belief is at odds with the mechanics of how LLMs work. It's not a question of more effort/investment/compute/whatever, it's just a reality of how the underlying systems work (non-deterministic). If you can find a way to make the context window on the scale of the human brain, you may be able to mostly mitigate this. People want us to be at "Her" levels of AI, but we're at a far earlier stage. We can fake certain…
Have you tried o1 pro? I find people that are making these assertions are not deeply using the models on a daily basis. With each new release, I can see the increase of capability, and can do things. I have written software in the last year that is at a level of complexity beyond my skill set. I have 15 years of SWE experience, most at FAANG. You just arent close enough to the metal to see what's coming. It's not abo…
So obviously completely full of shit.
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Siri has access to a wealth of private existing and future on-device APIs to fuel context sensitive responses to queries on vendor locked devices used all day long. (Which Apple has apparently decided to just not use yet.) OpenAI doesn't, they just have a ton of funding and (up to recently) a good mass media story, and the best natural language responses. The moat around Siri is much deeper, and I don't really see an…
I think there is an argument that currently Google Gemini is best place to tie everything together. Assuming Google executes on it well. Most people use Gmail, Docs, Google Maps, Google Calendar above Apples alternatives. Gemini could really tie them up well.
For example, I found myself asking Claude about places to see in a city I’m visiting while switching back and forth to gmaps. This would have been a much better experience integrated directly with gmaps knowledge graph
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A todo app that you can write and modify by editing a natural language prompt, and that can parse inputs from the whole web with flexibility and nuance, is not a small thing.
> a todo app that you can write and modify by editing a natural language prompt no. "a todo app that you can interact with by writing natural language input?" okay. > nuance really?!
As for nuance, I've seen an astounding amount of divergent context incorporated into LLM responses. Not always, but far more than I've ever been able to encode into a parsing script, which is exactly nothing not explicitly programmed.