dingclancy

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.

Sam Altman statement said they pulled the voice out of respect to Scarlett Johansson.

Sure but Skye is still not SJ.

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.

They are as caught up as Bing is to Google Search. It does not really mean anything.

If there is very little stopping them, where are they. Google Gemini is the closest right now and they are bungling their launches.

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.

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.

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.

If your first sentence is true, pretty sure we will not be having a Gemini this woke.

If we care about the results, and the model showed an Asian and Black Nazi, then we know it is not really about the results.

Apple needs to be known as an AI leader first.

LLM is the dumb pipe but so far ChatGPT is the most successful generative AI product.

It remains to be seen. OpenAI’s models are barely leading Gemini Ultra now, but as chat product it is still miles ahead of the Gemini interface.

The idea that this destroys the industry is overblown, because the film industry has already been dying since 2000's.

Hollywood is already destroyed. It is not the powerful entity it once was.

In terms of attention and time of entertainment, Youtube has already surpassed them.

This will create a multitude more YouTube creators that do not care about getting this right or making a living out of it. It will just take our attention all the same, away from the traditional Hollywood.

Yes there will still be great films and franchises, the industry is shrinking.

This is similar with Journalism saying that AI will destroy it. Well there was nothing to destroy because the a bunch of traditional newspapers already closed shop even before AI came.

Essentially, the focus seems to be on leveraging the media buzz around Gemini 1.0 by highlighting the development of version 1.5. While GPT-4's position relative to Gemini 1.5 remains unclear, and the specifics of ChatGPT 4.5 are yet to be disclosed, it's worth noting that no official release has taken place until the functionality is directly accessible in user chats.

Google appears to be making strides in catching up.

When it comes to my personal workflow and accomplishing tasks, I still find ChatGPT to be the most effective tool. My familiarity with its features has made it indispensable. The integration of mentions and tailored GPTs seamlessly enhances my workflow.

While Gemini may match the foundational capabilities of LLMs, it falls short in delivering a product that efficiently aids in task completion.