Robert Scoble
RT @NVIDIAAIDev: Join us at #GTC23 to find out the latest on generative #AI, where it currently stands, what it could be capable of in the coming years, and how businesses can responsibly take advantage of #genAI technology.

Register now: https://t.co/LhDoIedKUi https://t.co/3lVfDcJahO
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Yohei
A monday morning gratitude tweet for all the teams building tools that help me build cool stuff:

@zapier @airtable @softr_io @replit @openai @todoist @google @apple @dust4ai @LangChainAI @crunchbase @producthunt @stripe @ThePSF

^this is my current tech stack
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Robert Scoble
RT @ProductHunt: 🤌 Bookmark this list of 40 AI apps to start streamlining the tasks associated with each stage of the product lifecycle: https://t.co/sFX04fyIa8
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Robert Scoble
RT @kvogt: We scaled @Cruise’s business 4x last quarter, completing 2.7k fared rides in CA.

We did thousands of free rides too (need a @californiapuc permit to expand beyond ~30% of SF).

Still modest scale, but won’t be for long at this rate!

Full data here: https://t.co/diae0riA77
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Tom Morgan
RT @brianportnoy: This panel is kind of insane (in a good way). 👀🤩 @DaveNadig @GestaltU @tom_morganKCP @profplum99 @DiMartinoBooth @biancoresearch @exchangeETF https://t.co/Dc81ASSbwW
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Zaesar 📽️ AIFILMS.ai 🤖
The skill to prompt is a bug
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Robert Scoble
RT @ai99co: @rbnsnstgrg Introducing #AI99, the world's first and foremost AI curation-based #art marketplace!⁣⁣
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Stable Diffusion 🎨 AI Art
Beauty of weightlessness #AIArt

#StableDiffusion2 / #StableDiffusion #DreamStudio https://t.co/oQorMFjRWr
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CoffeeVectors
I met a Siren by the lake. #aicinema #aiphotography #aiportraits #stablediffusion #digitalportraits https://t.co/UzeikPxclr
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DataChazGPT 🤯 (not a bot)
RT @DataChaz: What if Large Language Models could access a much larger knowledge database without retraining/fine-tuning?

@GPT_Index is a set of data structures designed to help you connect #LLMs with your data! 🔥

🔗 https://t.co/YmibWlgs6C

#GPT #ChatGPT #LLMs #AI https://t.co/VaqyVdj8lp
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javierjrueda
Dataset engineering overtakes Prompt engineering.
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Aran Komatsuzaki
Actually, gradient descent can be seen as attention that applies beyond the model's context length! Let me explain why 🧵 👇 (1/N)

Ref:
https://t.co/BXQvCV60pa
https://t.co/i5lte2kuMW https://t.co/kpThbSTtqf
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Robert Scoble
RT @IanLJones98: What ChatGPT & other AI tools mean for the future of digital healthcare. By Sahil Gupta v/@forbes cc @JagersbergKnut @tobiaskintzel @enilev @BetaMoroney @Nicochan33 @jeancayeux @AkwyZ @antgrasso @Khulood_Almani @YIbnM @mvollmer1 @NevilleGaunt @mikeflache https://t.co/AGwkXU6pQq
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Bojan Tunguz
Are any of my followers into AI?
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