Keith Scharwath
@Scharwath
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Creative Director | @Tenstorrent | @Atomic_Semi
Los Angeles
Joined November 2009
Six months ago we got a new Pope, and I can’t help thinking about a thing I once heard: it takes ~6 months for a Designer to start making an impact on a new team
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if this ever gets redesigned I will shed real tears
I respect them for never updating the logo. $0 marketing budget they're not going to sing and dance for you
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I love these graphic design pop-culture moments in @erikinternet’s Design Harder. De Niro’s girlfriend in Heat has lived rent-free in my brain for years. Pictured: @kendricklamar, Pam Beesly, De Niro
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12 copies available at los feliz goodwill rn
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Brand exploration for OpenAI with Sam Altman, February 2023 Two logo concepts – Circle and Monogram – alongside broader exploration for ChatGPT across brand and product. More details and link below.
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its easy to dismiss work that pushes beyond the current style - these designs reference the legacy of software, are thoughtful, and look interesting. haters be damned
The Monogram – Humanity embracing and shepherding technological progress. An OAI mark combining a figure with open arms, an upward vector, and a circle, which deconstructs to various two-letter permutations.
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make computers beige again
We welcome our new palette constituents: LIGHT BEIGE BEIGE DARK BEIGE
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if anyone wants an AI-optimized, heat-generating boulder sent to their house hmu 📦
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Get back home from watching the tennis at Wimbledon, and what’s sitting on my doorstep? It’s a @tenstorrent Blackhole card!
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i am going to take your beautiful matrix-multiplying machine and make it do bizarre and horrible things
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best possible use of LLM
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open wins Try our hardware today:
tenstorrent.com
Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade,...
I implemented the last module with high computational complexity on Tenstorrent Wormhole and the runtime of TT-Boltz (AlphaFold 3) dropped from 15 minutes to 10 minutes for a protein with 686 amino acids. We only have to save another 8 minutes and we are faster than an Nvidia
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