Shivaji @sdutta

Silicon Valley Engineer, Entrepreneur. Working on #deeplearning and #robotics. Interested in Social Issues, Venture Capital, Change (Google, Hortonworks, Apple) San Francisco, CA Joined June 2008

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Demis Hassabis @demishassabis

5 months ago

In the future soon, we will be able to communicate with many intelligent animal species - can't wait to better understand what my dog🐶is saying! Congrats to the DolphinGemma team building on our Gemma models - the most powerful single GPU/TPU open source models out there!

Sundar Pichai @sundarpichai

5 months ago

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Mistral AI @MistralAI

6 months ago

Introducing Mistral Small 3.1. Multimodal, Apache 2.0, outperforms Gemma 3 and GPT 4o-mini. mistral.ai/news/mistral-s…

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Shivaji @sdutta

7 months ago

Grok3 is pretty good!!

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Shivaji @sdutta

7 months ago

Are we heading to becoming a dumber society with LLM?

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Shivaji @sdutta

7 months ago

With actual AI or AGI, capitalism in current form will have challenges to survive. We will be forced into socialism or some form of it.

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Shivaji @sdutta

7 months ago

I have the privilege of working across the AI ecosystem and see the companies evolve. Question is how will companies keep its moat in the new AI world? if all that is done is integrate LLM into the products?

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Demis Hassabis @demishassabis

2 years ago

Excited to announce SIMA, a general AI agent for games & 3D virtual settings. It marks the first time an agent has demonstrated it can follow natural-language instructions to carry out a wide range of tasks across a large array of game worlds, similar to how a human would play.

Shane Legg @ShaneLegg

2 years ago

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Sundar Pichai @sundarpichai

2 years ago

Introducing Gemini 1.0, our most capable and general AI model yet. Built natively to be multimodal, it’s the first step in our Gemini-era of models. Gemini is optimized in three sizes - Ultra, Pro, and Nano Gemini Ultra’s performance exceeds current state-of-the-art results on…

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Sundar Pichai @sundarpichai

2 years ago

Now Gemini Pro is coming today in Bard’s biggest update yet (in English in 170 countries) with more advanced reasoning and understanding in the responses. Bard Advanced with Ultra, our most general and capable model for highly complex tasks, is coming early next year.…

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Sundar Pichai @sundarpichai

2 years ago

Gemini Nano is super efficient for tasks that are on-device. Android developers can sign up for an early access program for Gemini Nano via Android AICore and Pixel 8 Pro users can already see it rolling out in features like Summarize in Recorder and Smart Reply in Gboard + much…

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Google DeepMind @GoogleDeepMind

2 years ago

Gemini’s reasoning capabilities mean it can understand more about a user’s intent, and use tools to generate bespoke user experiences that go beyond chat interfaces. Here’s what that looks like in action. ↓ #GeminiAI

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Jeff Dean @JeffDean

2 years ago

Lots of excitement about the Gemini announcement, but @googlecloud also announced availability of the newest TPU system today, TPU v5p. These systems are quite a bit higher performance and much cost effective than earlier generations. Compared to TPU v4, TPU v5p (see table…

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Demis Hassabis @demishassabis

2 years ago

The Gemini era is here. Thrilled to launch Gemini 1.0, our most capable & general AI model. Built to be natively multimodal, it can understand many types of info. Efficient & flexible, it comes in 3 sizes each best-in-class & optimized for different uses blog.google/technology/ai/…

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Jeff Dean @JeffDean

2 years ago

I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks,…

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Soumith Chintala @soumithchintala

2 years ago

Seems to solidly compete with GPT-4 on benchmarks. Google has existing customers and surfaces to start the feedback loop, without worrying about adoption. And Google will use TPUs for inference, so doesn't have to pay NVIDIA their 70% margins (like @OpenAI and @Microsoft has to…

Google DeepMind @GoogleDeepMind

2 years ago

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Yann LeCun @ylecun

2 years ago

Haha! It wasn't quite like that. Many senior members of the CV community were actually very friendly and curious about ConvNets (if skeptical). There was a true intellectual debate. Everyone had to have a "theory" of how vision worked. For me, it was end-to-end gradient-based…

Kosta Derpanis @CSProfKGD

2 years ago

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Yann LeCun @ylecun

2 years ago

An article about my vociferous support of open source AI platforms. Demis Hassabis, Dario Amodei, and Sam Altman (among others) have scared governments about what they claim are risks of AI-fueled catastrophes. I know that Demis, at least, is sincere in his claims, but I think…

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Yann LeCun @ylecun

2 years ago

Dear journalists, it makes absolutely no sense to write: "PaLM 2 is trained on about 340 billion parameters. By comparison, GPT-4 is rumored to be trained on a massive dataset of 1.8 trillion parameters." It would make more sense to write: "PaLM 2 possesses about 340 billion…

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Sam Altman @sama

2 years ago

one of the easiest policy wins i can imagine for the US is to reform high-skill immigration. the fact that many of the most talented people in the world want to be here is a hard-won gift; embracing them is the key to keeping it that way. hard to get this back if we lose it.