It’s interesting that a sub-ChatGPT 3.5 class model can do a lot of things on-device if you marry it with a good platform and feed it personal context. GPT-4o, living on the browser, is not as compelling as a product compared to what Apple Intelligence can do on the iPhone with a less capable model.
IMO that's consistent with them trying to look like they're being responsible and considerate (even though they plan to re-release the voice in a short while, after their side of the carefully-planned story is out).
In general, I assume anything a CEO says after a scandal breaks is whatever the crisis management people told him to say.
I might have confused your point, but if your goal is to build charts for data analysis, or exploratory data analysis, then D3 is considered low-level for the purpose of getting to the analysis fast.
What open source AI chat UI exists now that has the level of usage of ChatGPT?
I love open source but their very nature suggests there is no one open source model that will have the critical mass to just be a straight in replacement for ChatGPT and its UI.
I use Ollama and choose models and they are close to GPT-4 but OpenAI is speeding up into making a useful chat product. All the rest are foundational model demos.
This is the first demo where you can really sense that beating LLM benchmarks should not be the target. Just remember the time when the iPhone has meager specs but ultimately delivered a better phone experience than the competition.
This is the power of the model where you can own the whole stack and build a product. Open Source will focus on LLM benchmarks since that is the only way foundational models can differentiate themselves, but it does not mean it is a path to a great user experience.
So Open Source models like Llama will be here to stay, but it feels more like if you want to build a compelling product, you have to own and control your own model.
OpenAI blew up when they released ChatGPT. It was more of a UX breakthrough than pure tech, since GPT3 was available for a few months already.
This feels similar, with OpenAI trying to put their product even more into the daily lives of their users. With GPT4 being good enough for nearly all basic tasks, the natural language and multimodality could be big.
I don’t think Llama being open sourced means Meta has lost anything. If anything it’s just a way to get free community contribution, like Chrome from Chromium. Mega absolutely intends to integrate their version of Llama in their products not so unlike how OpenAI is creating uses for their LLM beyond just the technology
Depends on the benchmarks. AI that can actually do end to end the job of software developers, theoretical computer scientists, mathematicians etc. would be significantly more impactful than this.
I want to see AI moving the state of the art of the world understanding - physics, mathematics etc. - the way it moved state of the art of the Go game understanding.
Doing these end to end jobs still falls on user experience and UI, if we are talking about getting to mass market.
This GPT-4o model is a classic example. It is essentially the same model as GPT-4 but these multimodal features, voice conversations, math, and speed is revolutionary as the creation of the model itself.
Open Source LLM will end up as a model in GitHub and will be used by developers but it looks like even if GPT-4o is only 3 months ahead of other models in terms of benchmarks, the UI + Usecase + Model is 2 years ahead of the competition. And I say that because there is still no chat product that is close to what ChatGPT is delivering now, even though there are models that is close to ChatGPT 4o today.
So if it is sticky for 2 more years, their lead will just grow and we will just end up with more open source models that are technically behind by 3 months but behind product-wise by 2 years.
