Arto Bendiken
@bendiken • 5,950 subscribers
Building @ASIMOV_Protocol, the knowledge layer for trustworthy personal AI. Autodidact, coder, cypherpunk, hacker, maker. ex-@NEARProtocol veteran.
Shorts
Videos
A fun long-form conversation with my friend Mehran Rowshan ranging freely over a number of topics of mutual interest including education, why I'm homeschooling my kids, why reading matters so much, why we both appreciate Dubai as a home base, why perspective is worth 80 IQ points, why we've all sacrificed our privacy for the utility of AI & what to do about it, and a bunch more!
Arto Bendiken39,833 次观看 • 1 个月前
My ASIMOV update on the NEAR Town Hall last night: what we've been up to the last months, including our journey in the dAGIhouse accelerator, the beta launch of ASIMOV Platform, and a preview demo of our upcoming personal intelligence layer product. Thanks PTR.NEAR for the invite and kudos to the NEARWEEK team for all the great work you do!
Arto Bendiken66,523 次观看 • 1 年前
My ASIMOV talk and demo last night at our #OpenSourceAIWeek event in SF: Take a whirlwind tour inside the hybrid multimodal memory of a neurosymbolic machine intelligence as it's observing the room and constructing a real-time knowledge graph to represent & connect the people, objects, and activities that it sees and hears!
Arto Bendiken46,817 次观看 • 1 年前
Take a whirlwind tour inside the mind of a neurosymbolic machine intelligence as it's observing the room and constructing a real-time knowledge graph to model & connect the people, objects, and activities that it sees and hears! More than a year in the making, I was gratified to get spontaneous applause and I've lost track of how many guests afterwards told me they got goosebumps/chills from seeing this live... (From my ASIMOV demo the other night at our NEAR × ASIMOV × EXO #OpenSourceAIWeek meetup in San Francisco)
Arto Bendiken35,714 次观看 • 1 年前
What does personal intelligence mean? If tech like Palantir’s were to be democratized and available to you, what might your own personal seeing stone in your pocket enable you to know, to do? Here’s a bit of a sneak peek through ASIMOV’s seeing stone regarding our San Francisco event later today. In the minute or so that this ingest took, we first extracted the Luma event’s guest list and then for each of the 95 guests figured out their social media accounts on X, Instagram, LinkedIn, and beyond We obtained those profiles in full, as well as the respective social graphs (followers/followees/mutuals) for each of those accounts, and collated all that into a nontrivial (95 → ~300K → 50M+ nodes) knowledge graph representing the combined social network, reconciled with and layered onto our existing massive knowledge base. This tells us who is in the room and how they relate to us and to each other We then fetched and indexed the most recent posts for each guest’s social media accounts, and computed & compiled executive summaries of their recent activities and demonstrated interests on each those platforms, not only from text posts but also from any available photos and (short) videos. These dossiers are incredibly helpful in pinpointing who might share mutual interests We also, naturally enough, indexed all faces detected in guests’ profile photos and their most recent social media posts, as well as filed away a voice sample from any available Instagram or YouTube clip. This enables recognizing guests by their likeness and/or their voice, as we have showcased at previous events All this, by the way, can run directly on your phone, tablet, or laptop as well; just rather slower than the dedicated, scalable upstream infrastructure showcased here. Nonetheless, in the future you will be able to produce and monetize this event intelligence in your pocket yourself, or just purchase on-the-go access to it as you like The future is already here, it's just not evenly distributed. Join us at Frontier Tower tonight at 6pm to learn & discuss personal intelligence built on your own personal context graph connecting all people and information in your life!
Arto Bendiken12,068 次观看 • 3 个月前
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