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There are so many models that it can get confusing so today we launched an auto-router - you get the best answers from any of the top models. At the same time, we have AI experts and model enthusiasts who will enjoy access to 10 new models we just... show more

Richard Socher

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24,731 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & Technologie Nachrichten & Politik Bildung

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We just hit a new huge milestone. 🏆 Thanks to our amazing community, we have now reached 170,000 3D Maps across the world. Here are the numbers that define what we’ve built so far: ↳ 170,000 mapped locations ↳ 767 TB of world data ↳ 85.2M+ images captured ↳ And a steady, unstoppable month over month growth. A single dataset designed to help machines see, understand, and navigate space, also used to train spatial AI and visual models, and to geolocalize robots and experiences with precision through our VPS, in order to interact seamlessly with the real world. And yes... you read that right! We are already in talks with several top AI companies that want access to our dataset to train their AI models and to support what comes next, including robotics and advanced visual and video models. It is all one story, one ecosystem, one vision, and it is called Over the Reality.

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55,023 Aufrufe • vor 13 Tagen

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20,518 Aufrufe • vor 1 Jahr

$110 free credits to test top AI models 😳 found another API platform giving new users free credits what you get: - $110 free credits - GLM 5.3 - Grok 4.5 - Claude Opus 5 - DeepSeek V4 Pro - Fable 5 - many more models getting started: 1. go to 2. sign up with GitHub 3. create your API key 4. use base url: 5. pick a model and start testing > your GitHub account must be at least 14 days old $110 credits to try some of the latest models without paying upfront

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K2S

11,506 Aufrufe • vor 24 Tagen

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A major question in multimodal modeling is how to leverage strong pre-trained models, such as industry-scale LLMs and VLMs, during training to avoid starting from scratch. This is important as the demand for rich and domain-specific multimodal models continues to increase, while training them from scratch is obviously impractical due to limited data and compute. The so-called “any-to-any” multimodal models can model a large diverse dictionary of modalities. That’s good. Their downside is that their architectures are often not decoder-only, which has limited their performance in practice and prevents them from leveraging strong pre-trained decoder-only models as priors. We are releasing MODUS (ICML Conference '26) a decoder-only any-to-any multimodal model to address some of these questions. A single transformer decoder predicts any modality from any others with no modality-specific heads, losses, or task pipelines. We show efficient adaptation of established models, e.g., BAGEL, to rich any-to-any multimodal modeling. We are releasing 14B to 77B parameter models. All materials are open-source. The download links and demos here 🧵

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elvis

16,882 Aufrufe • vor 2 Monaten

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Prakash Dadlani

75,040 Aufrufe • vor 1 Jahr

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Today we're dropping the "beta" tag from Adaptyv, launching our new website and announcing our $8M seed round. When we started Adaptyv a few years ago, our core belief was: AI models for biology are only as good as the experimental data they're trained on and the hypotheses they can test in the real world. Now, after a year of working with many great partners, we’ve scaled our infrastructure to the point that we're now open to anyone who wants to use our platform! Overall, this year, over 30 companies started using Adaptyv to validate their protein designs - from some of the biggest pharmas to frontier AI labs to many, many techbio startups. We've run hundreds of experiments, tested well over 10,000 proteins this year and are generating the data that validates the best AI models currently in development.

Adaptyv Bio

11,484 Aufrufe • vor 1 Jahr

I think it's interesting that we're starting to see different types of specialists emerge in the field of Generative AI technology. We are seeing a new generation of world-class storytellers. Some are immaculate at vibe coding workflows and building infrastructures. Some are incredible at AI visual effects and AI cinematography. And some are just maestros at composition and world-building. And of course, many of us dip into all facets. We are witnessing the emergence of new creative and technical roles that didn't exist yesterday, and that's very exciting. And now we are starting to see the benefits of AI as an additive to existing workflows. I hope to work with many of you for the upcoming productions we have in the works at Promise.

I think it's interesting that we're starting to see different types of specialists emerge in the field of Generative AI technology. We are seeing a new generation of world-class storytellers. Some are immaculate at vibe coding workflows and building infrastructures. Some are incredible at AI visual effects and AI cinematography. And some are just maestros at composition and world-building. And of course, many of us dip into all facets. We are witnessing the emergence of new creative and technical roles that didn't exist yesterday, and that's very exciting. And now we are starting to see the benefits of AI as an additive to existing workflows. I hope to work with many of you for the upcoming productions we have in the works at Promise.

Dave Clark

13,168 Aufrufe • vor 1 Jahr