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google-upstages-itself-with-gemini-15-ai-launch,-one-week-after-ultra-1.0

Google upstages itself with Gemini 1.5 AI launch, one week after Ultra 1.0

Gemini’s Twin —

Google confusingly overshadows its own pro product a week after its last major AI launch.

The Gemini 1.5 logo

Enlarge / The Gemini 1.5 logo, released by Google.

Google

One week after its last major AI announcement, Google appears to have upstaged itself. Last Thursday, Google launched Gemini Ultra 1.0, which supposedly represented the best AI language model Google could muster—available as part of the renamed “Gemini” AI assistant (formerly Bard). Today, Google announced Gemini Pro 1.5, which it says “achieves comparable quality to 1.0 Ultra, while using less compute.”

Congratulations, Google, you’ve done it. You’ve undercut your own premiere AI product. While Ultra 1.0 is possibly still better than Pro 1.5 (what even are we saying here), Ultra was presented as a key selling point of its “Gemini Advanced” tier of its Google One subscription service. And now it’s looking a lot less advanced than seven days ago. All this is on top of the confusing name-shuffling Google has been doing recently. (Just to be clear—although it’s not really clarifying at all—the free version of Bard/Gemini currently uses the Pro 1.0 model. Got it?)

Google claims that Gemini 1.5 represents a new generation of LLMs that “delivers a breakthrough in long-context understanding,” and that it can process up to 1 million tokens, “achieving the longest context window of any large-scale foundation model yet.” Tokens are fragments of a word. The first part of the claim about “understanding” is contentious and subjective, but the second part is probably correct. OpenAI’s GPT-4 Turbo can reportedly handle 128,000 tokens in some circumstances, and 1 million is quite a bit more—about 700,000 words. A larger context window allows for processing longer documents and having longer conversations. (The Gemini 1.0 model family handles 32,000 tokens max.)

But any technical breakthroughs are almost beside the point. What should we make of a company that just trumpeted to the world about its AI supremacy last week, only to partially supersede that a week later? Is it a testament to the rapid rate of AI technical progress in Google’s labs, a sign that red tape was holding back Ultra 1.0 for too long, or merely a sign of poor coordination between research and marketing? We honestly don’t know.

So back to Gemini 1.5. What is it, really, and how will it be available? Google implies that like 1.0 (which had Nano, Pro, and Ultra flavors), it will be available in multiple sizes. Right now, Pro 1.5 is the only model Google is unveiling. Google says that 1.5 uses a new mixture-of-experts (MoE) architecture, which means the system selectively activates different “experts” or specialized sub-models within a larger neural network for specific tasks based on the input data.

Google says that Gemini 1.5 can perform “complex reasoning about vast amounts of information,” and gives an example of analyzing a 402-page transcript of Apollo 11’s mission to the Moon. It’s impressive to process documents that large, but the model, like every large language model, is highly likely to confabulate interpretations across large contexts. We wouldn’t trust it to soundly analyze 1 million tokens without mistakes, so that’s putting a lot of faith into poorly understood LLM hands.

For those interested in diving into technical details, Google has released a technical report on Gemini 1.5 that appears to show Gemini performing favorably versus GPT-4 Turbo on various tasks, but it’s also important to note that the selection and interpretation of those benchmarks can be subjective. The report does give some numbers on how much better 1.5 is compared to 1.0, saying it’s 28.9 percent better than 1.0 Pro at “Math, Science & Reasoning” and 5.2 percent better at those subjects than 1.0 Ultra.

A table from the Gemini 1.5 technical document showing comparisons to Gemini 1.0.

Enlarge / A table from the Gemini 1.5 technical document showing comparisons to Gemini 1.0.

Google

But for now, we’re still kind of shocked that Google would launch this particular model at this particular moment in time. Is it trying to get ahead of something that it knows might be just around the corner, like OpenAI’s unreleased GPT-5, for instance? We’ll keep digging and let you know what we find.

Google says that a limited preview of 1.5 Pro is available now for developers via AI Studio and Vertex AI with a 128,000 token context window, scaling up to 1 million tokens later. Gemini 1.5 apparently has not come to the Gemini chatbot (formerly Bard) yet.

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This ‘Skyrim VR’ Mod Shows How AI Can Take VR Immersion to the Next Level

ChatGPT isn’t perfect, but the popular AI chatbot’s access to large language models (LLM) means it can do a lot of things you might not expect, like give all of Tamriel’s NPC inhabitants the ability to hold natural conversations and answer questions about the iconic fantasy world. Uncanny, yes. But it’s a prescient look at how games might one day use AI to reach new heights in immersion.

YouTuber ‘Art from the Machine’ released a video showing off how they modded the much beloved VR version of The Elder Scrolls V: Skyrim.

The mod, which isn’t available yet, ostensibly lets you hold conversations with NPCs via ChatGPT and xVASynth, an AI tool for generating voice acting lines using voices from video games.

Check out the results in the most recent update below:

The latest version of the project introduces Skyrim scripting for the first time, which the developer says allows for lip syncing of voices and NPC awareness of in-game events. While still a little rigid, it feels like a pretty big step towards climbing out of the uncanny valley.

Here’s how ‘Art from the Machine’ describes the project in a recent Reddit post showcasing their work:

A few weeks ago I posted a video demonstrating a Python script I am working on which lets you talk to NPCs in Skyrim via ChatGPT and xVASynth. Since then I have been working to integrate this Python script with Skyrim’s own modding tools and I have reached a few exciting milestones:

NPCs are now aware of their current location and time of day. This opens up lots of possibilities for ChatGPT to react to the game world dynamically instead of waiting to be given context by the player. As an example, I no longer have issues with shopkeepers trying to barter with me in the Bannered Mare after work hours. NPCs are also aware of the items picked up by the player during conversation. This means that if you loot a chest, harvest an animal pelt, or pick a flower, NPCs will be able to comment on these actions.

NPCs are now lip synced with xVASynth. This is obviously much more natural than the floaty proof-of-concept voices I had before. I have also made some quality of life improvements such as getting response times down to ~15 seconds and adding a spell to start conversations.

When everything is in place, it is an incredibly surreal experience to be able to sit down and talk to these characters in VR. Nothing takes me out of the experience more than hearing the same repeated voice lines, and with this no two responses are ever the same. There is still a lot of work to go, but even in its current state I couldn’t go back to playing without this.

You might notice the actual voice prompting the NPCs is also fairly robotic too, although ‘Art from the Machine’ says they’re using speech-to-text to talk to the ChatGPT 3.5-driven system. The voice heard in the video is generated from xVASynth, and then plugged in during video editing to replace what they call their “radio-unfriendly voice.”

And when can you download and play for yourself? Well, the developer says publishing their project is still a bit of a sticky issue.

“I haven’t really thought about how to publish this, so I think I’ll have to dig into other ChatGPT projects to see how others have tackled the API key issue. I am hoping that it’s possible to alternatively connect to a locally-run LLM model for anyone who isn’t keen on paying the API fees.”

Serving up more natural NPC responses is also an area that needs to be addressed, the developer says.

For now I have it set up so that NPCs say “let me think” to indicate that I have been heard and the response is in the process of being generated, but you’re right this can be expanded to choose from a few different filler lines instead of repeating the same one every time.

And while the video is noticeably sped up after prompts, this mostly comes down to the voice generation software xVASynth, which admittedly slows the response pipeline down since it’s being run locally. ChatGPT itself doesn’t affect performance, the developer says.

This isn’t the first project we’ve seen using chatbots to enrich user interactions. Lee Vermeulen, a long-time VR pioneer and developer behind Modboxreleased a video in 2021 showing off one of his first tests using OpenAI GPT 3 and voice acting software Replica. In Vermeulen’s video, he talks about how he set parameters for each NPC, giving them the body of knowledge they should have, all of which guides the sort of responses they’ll give.

Check out Vermeulen’s video below, the very same that inspired ‘Art from the Machine’ to start working on the Skyrim VR mod:

As you’d imagine, this is really only the tip of the iceberg for AI-driven NPC interactions. Being able to naturally talk to NPCs, even if a little stuttery and not exactly at human-level, may be preferable over having to wade through a ton of 2D text menus, or go through slow and ungainly tutorials. It also offers up the chance to bond more with your trusty AI companion, like Skyrim’s Lydia or Fallout 4’s Nick Valentine, who instead of offering up canned dialogue might actually, you know, help you out every once in a while.

And that’s really only the surface level stuff that a mod like ‘Art from the Machine’ might deliver to existing games that aren’t built with AI-driven NPCs. Imagining a game that is actually predicated on your ability to ask the right questions and do your own detective work—well, that’s a role-playing game we’ve never experienced before, either in VR our otherwise.

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