Building the knowledge layer for trustworthy personal intelligence.

Mountain View, CA
Joined October 2024
ASIMOV retweeted
Replying to @einar_hb
@einar_hb As promised, your ASIMOV results for NEXTPredict NYC 2026. Enjoy the conference!
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Here are some folks you may know that ASIMOV scored as likely to be attending Money20/20:
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ASIMOV retweeted
ASIMOV is the LinkedIn killer
Using the intrepid & itinerant @gluk64 as a test case, this is ASIMOV mapping the social graph of his mutuals who scored high for attending #Money2020 in Las Vegas this week, based on their X posts That's quite the well-connected network! Everyone in the group links to at least two of the others, and nobody is left out on their own. On average, each account connects to about seven of the other twenty, and 75 of the 210 possible pairs are linked
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We've test-driven ASIMOV with lots of agent harnesses this past month to ensure compatibility with each, but I have to say that Grok Bot is emerging as my go-to default recommend for nontechnical users who aren't set up with a personal agent just yet. Pretty simple UX!
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Using the intrepid & itinerant @gluk64 as a test case, this is ASIMOV mapping the social graph of his mutuals who scored high for attending #Money2020 in Las Vegas this week, based on their X posts That's quite the well-connected network! Everyone in the group links to at least two of the others, and nobody is left out on their own. On average, each account connects to about seven of the other twenty, and 75 of the 210 possible pairs are linked
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Using the globetrotting @azeemk as a test case for ASIMOV mapping the social graph of his mutuals who score high for attending #Money2020 in Las Vegas this week, based on their X posts That looks like a close-knit crypto-payments circle!
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Every time at a big conference, it's been frustrating figuring out who else is in town... but we've just about solved it now: /asimov Who in my X network plus my company's followers might be attending #Money2020 in Las Vegas this week, based on their posts? Draw a social graph
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Every time at a big conference, it's been frustrating figuring out who else is in town... but we've just about solved it now: /asimov Who in my X network plus my company's followers might be attending #Money2020 in Las Vegas this week, based on their posts? Draw a social graph
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Every time at a big conference, it's been frustrating figuring out who else is in town... but just about solved it now: /asimov Who in my X network plus @ASIMOV_Protocol's followers might be attending #Money2020 in Las Vegas this week, based on their posts? Draw a social graph
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Interesting!
Every time at a big conference, it's been frustrating figuring out who else is in town... but just about solved it now: /asimov Who in my X network plus @ASIMOV_Protocol's followers might be attending #Money2020 in Las Vegas this week, based on their posts? Draw a social graph
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Replying to @einar_hb
@einar_hb Gm Vegas! I used ASIMOV to check who in your X social graph we believe might be attending #Money2020 based on their X posts, hope this proves helpful to you:
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Replying to @gluk64
@gluk64 Gm Vegas! I used ASIMOV to check who from your following we believe might be attending #Money2020, hope this proves helpful to you:
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Innovative tech, great team
Shipped a feature requested by frens attending #Token2049 right now: who else is in town for this conference? I've certainly had the same question/frustration when attending NeurIPS, NEARCON, GITEX, etc: messaging people to ask if they're in town takes time & effort, as does looking at various socials for indications that someone might be attending ASIMOV makes this a trivial, realtime query. For this showcase I only enabled use of public data, but we're able to combine both public (socials) & private (contacts) into a layered knowledge graph to best answer such questions Alpha testers in Singapore right now: hope this helps!
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ASIMOV makes social networks transparent, disregarding the usual barriers such as paywalls and restrictive, expensive APIs One graph to rule them all, one graph to find them, one graph to bring them all, and in the ontology bind them Follow @ASIMOV_Protocol for early access!
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Shipped a feature requested by frens attending #Token2049 right now: who else is in town for this conference? I've certainly had the same question/frustration when attending NeurIPS, NEARCON, GITEX, etc: messaging people to ask if they're in town takes time & effort, as does looking at various socials for indications that someone might be attending ASIMOV makes this a trivial, realtime query. For this showcase I only enabled use of public data, but we're able to combine both public (socials) & private (contacts) into a layered knowledge graph to best answer such questions Alpha testers in Singapore right now: hope this helps!
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Replying to @GauravDubeyLive
@GauravDubeyLive Gm Singapore! I used ASIMOV to check who from your mutuals we believe might be attending #Token2049, hope this proves helpful to you:
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And here are our top-20 confidence scores from all your followers:
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Replying to @dafacto
@dafacto Gm Singapore! I used ASIMOV to check who from your mutuals we believe might be attending #Token2049, hope it might be helpful:
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It's becoming so evident now that Rust is going to sweep the systems programming space at the expense of just about everything else--and perhaps not only systems programming... Coders I know who worked the previous decade with Python, Ruby, or TypeScript have over the past quarter switched to vibecoding Rust. Why not? Faster, safer, smaller (memory-wise), simpler (deployment-wise), what's not to like? Similarly, Rust is eating the Python ecosystem from the inside outwards (uv, Ruff, Polars, Pydantic, etc, etc) Rust is an emerging Schelling point for coding agents. Its infamously strict static constraints function like guide rails, such that by the time the code actually compiles, the job's often largely done. And Rust's best-in-class, precise compiler error messages (valuable when compile cycles are slow) help agents make quick work of pinpointing & troubleshooting the effects of their changes We didn't yet see this sweep prior to this year because models were simply not capable enough of fully mastering the nontrivial complexity of the language (cf. ownership). They still made mistakes that I now simply no longer see with the current frontier. Rust seems to have a particularly pronounced threshold effect: the same strictness that repeatedly blocked a weaker model now actually helps the stronger model converge! For my own work, Fable 5 was the inflection point where the quality of generated code often exceeded what would be economical to code manually. (Astra and Opus now mostly do okay, too) This new Rust hegemony will become obvious to everyone during 2027, with much gnashing of teeth!
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