511–520 of 1001 posts
We've had voice input and voice output with computers for a long time, but it's never felt like spoken conversation. At best it's a series of separate voice notes. It feels more like texting than talking. These demos show people talking to artificial intelligence. This is new. Humans are more partial to talking than writing. When people talk to each other (in person or over low-latency audio) there's a rich metadata…
I'm not sure that computers mimicking humans makes sense, you want your computer to be the best possible, best than humans when possible. Writing output is clearly superior, faking emotions does not add much in most contexts.
Impressed by the model so far. As far as independent testing goes, it is topping our leaderboard for chess puzzle solving by a wide margin now: https://github.com/kagisearch/llm-chess-puzzles?tab=readme-o...
I see you have Connect 4 test there. I tried playing against the model, it didn't do well in terms of blocking my win. However it feels like it might be possible to make it try to think ahead in terms of making sure that all the threats are blocked by prompting well. Maybe that could lead to somewhere, where it will explain its reasoning first? This prompt worked for me to get it to block after I put 3 in the 4th col…
Very, very impressive for a "minor" release demo. The capabilities here would look shockingly advanced just 5 years ago. Universal translator, pair programmer, completely human sounding voice assistant and all in real time. Scifi tropes made real. But: Interesting next to see how it actually performs IRL latency and without cherry-picking. No snark, it was great but need to see real world power. Also what the benefit…
The capabilities here look shocking advanced yesterday.
I added gpt-4o support to my LLM CLI tool: pipx install llm llm keys set openai # Paste API key here llm -m 4o "Fascinate me" Or if you already have LLM installed: llm install --upgrade llm You can install an older version from Homebrew and then upgrade it like that too: brew install llm llm install --upgrade llm Release notes for the new version here: https://llm.datasette.io/en/stable/changelog.html#v0-14
I added gpt-4o support to my LLM CLI tool: pipx install llm llm keys set openai # Paste API key here llm -m 4o "Fascinate me" Or if you already have LLM installed: llm install --upgrade llm You can install an older version from Homebrew and then upgrade it like that too: brew install llm llm install --upgrade llm Release notes for the new version here: https://llm.datasette.io/en/stable/changelog.html#v0-14
The most impressive part is that the voice uses the right feelings and tonal language during the presentation. I'm not sure how much of that was that they had tested this over and over, but it is really hard to get that right so if they didn't fake it in some way I'd say that is revolutionary.
(I work at OpenAI.) It's really how it works.
They are admitting[1] that the new model is the gpt2-chatbot that we have seen before[2]. As many highlighted there, the model is not an improvement like GPT3->GPT4. I tested a bunch of programming stuff and it was not that much better. It's interesting that OpenAI is highlighting the Elo score instead of showing results for many many benchmarks that all models are stuck at 50-70% success. [1] https://twitter.com/Lia…
This model has been being tested under a code name of ‘gpt2-chatbot’ but it is very much a new GPT4+-level model, with new multimodal capabilities - but apparently some impressive work around inference speed.
Highlighting so people don’t get the impression this is just OpenAI slapping a new label on something a generation out of date.
We've had voice input and voice output with computers for a long time, but it's never felt like spoken conversation. At best it's a series of separate voice notes. It feels more like texting than talking. These demos show people talking to artificial intelligence. This is new. Humans are more partial to talking than writing. When people talk to each other (in person or over low-latency audio) there's a rich metadata…