With chatbots you don't have to think about organizing information.
With chatbots you don't have to think about organizing information. A chat-centric view just appends new chats. Memories, to the extent they are extracted, are se...
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With chatbots you don't have to think about organizing information. A chat-centric view just appends new chats. Memories, to the extent they are extracted, are se...
...wo and a half years into the era of the LLM. The first thing that was built was chatbots, a party trick. A really compelling party trick, but still a party trick. It's nice to be able to talk to your computer, but people don't want to ha...
If you treat the chatbot as an oracle then you have to care quite a lot about its worldview. If it's more like electricity, bland, unimportant, "below the API," it matters mu...
If the Chatbot is the product then it must have a personality as part of its UX. This can get into oddities, like your confidant being a product made by a multi-nat...
Claude Code can fuel a new kind of mania. This is unlike the "the chatbot is my friend and a God" mania inspired by ChatGPT 4o. It's a kind of hyper-competence mania. Claude Code can help you build your own universe to retr...
In the Chatbot form factor the chat is a party trick. "Look, it talks just like a person!" In Claude Code, chat is merely a natural-language way to accomplish the e...
Chatbots are perhaps 1/10 or 1/100 of the actual value extractable from LLMs. What we see for chatbot subscription revenues reflects that lower efficiency of...
...and you'll likely get a good result. Google Search had this characteristic, and chatbots do too. The expectation for how likely a given input is to give good enough results is a prior that configures how likely a person is to try using i...
Chatbots with thinking mode are a weird UX. It presents like a human in a synchronous conversation but then it might not respond for a few minutes. Feels les...
...ase, but it's obviously true. If you think about LLMs as monolithic, omniscient Chatbots, then LLMs don't feel commodity. But if you think of LLMs as just boring inputs to other processes that matter, you don't care as much about them. I...
The big companies are all on the chatbot train. Big companies can't bet on two contradictory things. What if the most powerful use of LLMs that is not chatbots?
The[ez] New York Times points out that it's weird that Chatbots use "I".
Google's A2UI is a Chatbot putting on a puppet show. The software itself doesn't feel alive.
...he "product." If AI is so powerful, then it has to be in your interests. If the chatbot had to choose: your interests, or its corporate creators', which would it choose? The problem with ads is not "you get stuff for free" it's "the ince...
Chatbots are mainly agent kayfabe. They don't learn or change from loop to loop. The most obvious versions of agents… and the least useful. Real agents have ...
...needs to change the context every time through the loop. Otherwise, it's just a chatbot. The context is things it learned, or things the user told it, or the new tools it created. Each tool it makes for one purpose is a stepping stone to...
People assume the main AI software category will be chatbots. I think it's a category no one has invented yet that will make Chatbots look like an embarrassing party trick.
Seeing LLMs as "mainly chatbots" limits you from seeing their potential. When you see LLM as being like electricity you can plug into any software to make it alive, it's game chang...
I'm bullish on LLMs' transformative potential and bearish on centralized Chatbots. Someone told me they found my position inscrutable because I loved LLMs but hate chatbots. But they're different things! LLMs are not Chatbots. Cha...
The current AI consensus has a bit of an underpants gnomes vibe to me. Step 1: Chatbots. Step 2: ??? Step 3: ASI It's not clear how the one leads to the last. Also, I'm not pumped about either as being an inherently good thing for socie...