glazkov.com valuation and analysis

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Title Dimitri Glazkov – Self and
Description Dimitri Glazkov Self and About Concept miner Here’s a concrete example of a reasoning box that I’ve been talking about last week . It’s not super-flashy o
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WebSite glazkov faviconglazkov.com
Host IP 192.0.78.202
Location United States
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glazkov.com Valuation
US$4,832,682
Last updated: 2023-04-29 15:43:21

glazkov.com has Semrush global rank of 2,190,151. glazkov.com has an estimated worth of US$ 4,832,682, based on its estimated Ads revenue. glazkov.com receives approximately 557,618 unique visitors each day. Its web server is located in United States, with IP address 192.0.78.202. According to SiteAdvisor, glazkov.com is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$4,832,682
Daily Ads Revenue US$4,461
Monthly Ads Revenue US$133,829
Yearly Ads Revenue US$1,605,938
Daily Unique Visitors 37,175
Note: All traffic and earnings values are estimates.
DNS Records
Host Type TTL Data
glazkov.com. A 299 IP: 192.0.78.202
glazkov.com. A 299 IP: 192.0.78.135
glazkov.com. NS 14400 NS Record: ns3.wordpress.com.
glazkov.com. NS 14400 NS Record: ns2.wordpress.com.
glazkov.com. NS 14400 NS Record: ns1.wordpress.com.
glazkov.com. MX 14400 MX Record: 10 aspmx2.googlemail.com.
glazkov.com. MX 14400 MX Record: 5 alt2.aspmx.l.google.com.
glazkov.com. MX 14400 MX Record: 10 aspmx3.googlemail.com.
glazkov.com. MX 14400 MX Record: 5 alt1.aspmx.l.google.com.
glazkov.com. MX 14400 MX Record: 1 aspmx.l.google.com.
glazkov.com. TXT 14400 TXT Record: v=spf1 include:aspmx.googlemail.com ~all
HtmlToTextCheckTime:2023-04-29 15:43:21
Dimitri Glazkov Self and About Concept miner Here’s a concrete example of a reasoning box that I’ve been talking about last week . It’s not super-flashy or cool – certainly not one of those viral demos, but it’s a useful example of recursively ground-truthing a reasoning box onto itself. The source code is here if you want to run it yourself. The initial idea I wanted to play with was concept extraction: taking a few text passages and then turning them into a graph of interesting concepts that are present in the text. The vertices of the graph would be the concepts and the edges will represent the logical connections between them. I started with a fairly simple prompt : Analyze the text and identify all core concepts defined within the text and connections between them. Represent the mental concept and connections between them as JSON in the following format: { "concept name": { "definition": "brief definition of the concept", "connections": [ a list of of concept names that connect
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Server: nginx
Date: Fri, 22 Oct 2021 13:49:36 GMT
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glazkov.com Whois Information
Domain Name: GLAZKOV.COM
Registry Domain ID: 26635441_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.easydns.com
Registrar URL: http://www.easydns.com
Updated Date: 2016-03-13T23:11:44Z
Creation Date: 2000-05-09T02:20:15Z
Registry Expiry Date: 2025-05-09T02:20:15Z
Registrar: easyDNS Technologies Inc.
Registrar IANA ID: 469
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Name Server: NS1.WORDPRESS.COM
Name Server: NS2.WORDPRESS.COM
Name Server: NS3.WORDPRESS.COM
DNSSEC: unsigned
>>> Last update of whois database: 2021-09-11T04:39:29Z <<<