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Travis
2.5K posts

Travis
@GeniusCountry
Husband of Sarah Power. Exascale Ventures. Deep Tech for the Exascale Era™
San Francisco Bay Area Katılım Haziran 2011
422 Takip Edilen643 Takipçiler
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Google isn’t trying to win the AI race.
They’re trying to own the entire AI Agent ecosystem.
While everyone argues ChatGPT vs Claude, Google quietly built:
Models → Gemini Pro, Flash, Deep Think, Gemma
Design → Stitch, Whisk, Imagen
Research → NotebookLM, AI Mode
Video → Veo, Flow, Google Vids
Coding → Antigravity IDE, Gemini CLI, Jules
Agents → A2A, ADK, FileSearch API
The scary part?
All of these tools talk to each other.
That means:
10x faster prototypes
End-to-end AI workflows
Production-ready agents on GCP
The next AI war won’t be model vs model.
It’ll be ecosystem vs ecosystem.
Save. Share. Build.
GIF
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Stop wasting hours trying to learn AI.
One list.
Zero confusion.
No fluff.
I’ve already done the hard work for you 👇
📄 Complete AI Learning Document
docs.google.com/document/u/0/d…
What’s inside:
📹 Videos
LLMs, Agentic AI, real-world breakdowns (Stanford + more)
🗂️ GitHub Repos
GenAI agents, prompt engineering, hands-on LLMs, beginner → advanced
🗺️ Guides & Whitepapers
Google, Anthropic, practical agent design
🧑🏫 Courses
Hugging Face, MCP, Vector DBs, end-to-end agent systems
📚 Books
From fundamentals to LLM engineering
📜 Research Papers
ReAct, Generative Agents, Toolformer, and more
📩 Newsletters
Stay updated without doomscrolling
Everything is curated, sequenced, and practical.
No random bookmarks. No hype.
♻️ Repost for your network
❤️ Like · 🔖 Save
➕ Follow @_Ai_Yash_ for more on AI Agents & real-world GenAI

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=>
"Community-based Matrix Reordering for Sparse Linear Algebra Optimization", NVIDIA, ISPASS 2023 bvignesh.github.io/papers/ISPASS_…
bvignesh.github.io/files/ISPASS20…
NVIDIA A6000 GPU
Matrix reordering on cuSPARSE’s SpMV kernel
RABBIT (IPDPS 2016)
=> RABBIT++, closer to peak
scholar.google.com/citations?user…



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Big news! Our own @Houman81 made the VC Go-to-Market Who's Who list! Known for landing big customers, raising strategic rounds, & accelerating growth, Houman's been Menlo's secret weapon. mnlo.vc/houman-gtm
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LC's SSG team provides scalable storage solutions including development of #Lustre, OpenZFS, & #HPSS, plus #DevOps of HPSS for archiving data—that goes back to 1967—permanently!
computing.llnl.gov/livermore-comp…
#computing #hpc #zfs

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The South Works #quantum complex will join @Fermilab, @argonne , and the Fulton Market life sciences hub, including the $250 million Chan Zuckerberg Chicago Biohub, a coalition of researchers from Northwestern, Chicago and UIUC. chicagotribune.com/2024/08/01/uni…
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YC S24's @wordware_ai is an IDE that enables anyone to build complex AI Agents and apps. Domain experts and engineers can now iterate 20x faster with prebuilt tools, API deployment, tracing, and more.
ycombinator.com/launches/LVS-w…
Congrats on the launch, @kozerafilip + @bertie_ai!

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This investment by @NSF is vital for institutional investors to enhance their support of frontier tech over the next decade.
U.S. National Science Foundation@NSF
📣 NSF announced an $18M investment for groundbreaking engineering ideas. The NSF Trailblazer Engineering Impact Award program will support six projects designed to open unexplored frontiers for transformative impact. bit.ly/3YtlWIA
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2024 Olympic Games preview for the men’s freestyle 97 kg weight class 🇺🇸
Kyle Snyder, one of the most consistent top stars, is seeking his third Olympic medal in Paris. #Paris2024 #WrestleParis
themat.com/news/2024/augu…

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@Princeton faculty laid out their research ranging from quantum engineering to human-centered decarbonization strategies to the regulation of microbial proteins. They fielded questions from representatives of PCI’s six industry partners. @EPrinceton #PCI princeton.edu/news/2024/07/1…
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VCs are increasingly stressed by the frenetic pace of #AI deals. They are growing concerned about the lack of moats (unique competitive advantages) that AI startups possess, as well as the poor quality of their revenue, which is often not sticky or predictable. ~@KateClarkTweets
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Computational Random-Access Memory (CRAM) will cut energy consumption for AI applications by a factor of 1,000. IEA projected that energy consumption for AI will double to a 1,000 TWh by 2026. CRAM is a shift away from the von Neumann architecture.
y.com/innovation/cra…
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Congratulations to the 15 projects chosen for funding in round 3 of the @UWiscResearch Research Core Revitalization Program! #WisconsinInnovates research.wisc.edu/research-core-…
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