Posts with #Extract

#Extract

Public posts on X that use #Extract.

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  1. VECERT Analyzer✓@VECERTRadar
    ⚠️ 🇪🇸 🇨🇴 🇪🇨 🇲🇽 🇨🇱 🇵🇪 🇦🇷 🇨🇷 🇵🇦 🇬🇹 🇭🇳 🇸🇻 🇮 🌐 PREVENTIVE ALERT – ALLEGED EXFILTRATION OF FIBER INFRASTRUCTURE AND DATA FROM UFINET LATAM (ACTOR: 3TERNAL) [STATUS: ALLEGED / UNCONFIRMED / THREAT ACTOR: 3TERNAL (GRIMGROUP) / DATE: NOVEMBER 3, 2026] Centralized cyber-intelligence systems have intercepted a post on underground forums (dated November 3, 2026) by the threat actor "3ternal," acting on behalf of the group "GrimGroup." The report claims the compromise and subsequent exposure of internal infrastructure belonging to Ufinet Latam, a wholesale fiber-optic operator with a presence in Spain and Latin America. The attacker details the extraction of data from an internal platform (KeyCom / Keypro Cloud), which includes information on physical telecommunications infrastructure—georeferenced using WGS84 coordinates—as well as records of utility poles, cables, network devices, and corporate email accounts belonging to staff, partner operators, and suppliers. It is strictly noted that the veracity of this intrusion, the initial compromise vector, and the overall authenticity of the exposed data have not been officially confirmed by the company or incident response centers. Threat Actor: 3ternal (GrimGroup). Victim : Ufinet Latam (Wholesale fiber-optic operator in Spain and Latin America). Sector: 📡 Telecommunications, Critical Infrastructure, Fiber-Optic Networks, and Connectivity. Publication Date: November 3, 2026. Reported Scope: 44 operators, 402,756 utility poles, 296,687 cables, and 1,759 corporate email accounts. Nature of the Incident: Alleged compromise of a network management platform, involving the exfiltration of fiber-optic network mapping—including precise geographic coordinates—and infrastructure inventory. 🛡️ TECHNICAL PREVENTIVE AND CONTAINMENT RECOMMENDATIONS (FOR SOC / CSIRT / OPERATORS) Security Audit of Cloud and GIS Platforms: Technical teams at Ufinet and partner operators must immediately verify access to their geographic management platforms (KeyCom / Keypro Cloud) and revoke any compromised credentials. Protection of Critical Infrastructure: Given the leak of coordinates for fiber nodes, splice points, and utility poles, it is recommended to strengthen both physical and logical surveillance of critical network points to prevent sabotage or physical intrusion. Email Account Monitoring: Invalidate and monitor the 1,759 exposed corporate mailboxes to mitigate the risk of targeted phishing attacks and social engineering attempts against technical and administrative staff. 🖥️ CENTRALIZED THREAT MONITORING SYSTEM Intelligence System: Quickly verify your security status at: Inquiries and Services: #Ufinet #Latam #TelecomSecurity #FiberOptics #DataLeak #DataBreach #BreachAlert #DarkWeb #Hacking #ThreatIntel #ThreatIntelligence #InfoSec #CyberAlert #VECERT #SOC #CSIRT #Unconfirmed #SecurityAlert #CyberDefense #CyberRisk
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  2. Jerry Liu✓@jerryjliu0
    We've built the most accurate document extraction system on the planet. Extract Max Effort will spend dynamic tokens reasoning about every visual detail across hundreds of pages to ensure that you get the maximum accuracy possible. Check out this massive well log report below. It's more accurate and still cheaper than the frontier agent harnesses on max thinking! (astra xhigh, opus 5.5 xhigh). Check it out: LlamaParse:
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    Jerry Liu @jerryjliu0
    Today we're introducing Extract Max Effort - the best frontier agent in the world for document extraction 💫. 🚀 It is an absolute bazooka. Use this when you absolutely need perfect 100% extraction accuracy over the most complex documents and schemas. This includes reasoning over dense well log chats, full insurance rate filings spanning 100s of pages, or dense construction blueprints. 📈 It sets a new state of the art on ExtractBench Pro, achieving 61% perfect extraction accuracy. It beats Codex+Astra and Claude Code+Opus 5.5 on price/performance. It achieves this accuracy by allocating dynamic tokens depending on page and schema complexity. It is a toggle on top of our Agentic Plus mode, so additional pricing depends on any additional compute required. Blog: Come check it out in LlamaParse! Benchmark:
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  3. Jerry Liu✓@jerryjliu0
    Today we're introducing Extract Max Effort - the best frontier agent in the world for document extraction 💫. 🚀 It is an absolute bazooka. Use this when you absolutely need perfect 100% extraction accuracy over the most complex documents and schemas. This includes reasoning over dense well log chats, full insurance rate filings spanning 100s of pages, or dense construction blueprints. 📈 It sets a new state of the art on ExtractBench Pro, achieving 61% perfect extraction accuracy. It beats Codex+Astra and Claude Code+Opus 5.5 on price/performance. It achieves this accuracy by allocating dynamic tokens depending on page and schema complexity. It is a toggle on top of our Agentic Plus mode, so additional pricing depends on any additional compute required. Blog: Come check it out in LlamaParse! Benchmark:
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  4. 🎀 ItsSoraval@ItsSoraval
    Ending DAY 7 (WEEK 1) of Fortnite Pirate Shop Token Grinding 11270~ CHESTS IN TOTAL (1600~ opened today) x10 Fireworks x2 Lucky Locators x6 Portable Extractors x12 Extraction Accelerators x8 Sprite Locators (3 used) Even with 2.0x Treasure hours I couldn't make it #Fortnite
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    🎀 ItsSoraval @ItsSoraval
    Ending DAY 6 of Fortnite Pirate Shop Token Grinding 9650~ CHESTS IN TOTAL (1300~ opened today) x8 Fireworks x1 Portable Extractor x10 Extraction Accelerators x1 Sprite Locator NO TOKEN YET Tomorrow is the big day. We're going to hit 10,000 chests opened. Be there... #Fortnite
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  5. 🎀 ItsSoraval@ItsSoraval
    Ending DAY 6 of Fortnite Pirate Shop Token Grinding 9650~ CHESTS IN TOTAL (1300~ opened today) x8 Fireworks x1 Portable Extractor x10 Extraction Accelerators x1 Sprite Locator NO TOKEN YET Tomorrow is the big day. We're going to hit 10,000 chests opened. Be there... #Fortnite
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  6. 50shadesof_gabe@50shadesof_gabe
    > release mid-tier Asym style spinoff > promise more content > abandon game > release mid-tier Extraction style spinoff > promise more content >
    Artydoesstuff ⧉ @artdstuf
    so today Mob Entertainment ended up firing the majority of the Escape from Playtime team - this is what they had to say officially they say development is continuing but i don't know if i can trust this. i'm upset and shocked
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  7. Artydoesstuff ⧉@artdstuf
    so today Mob Entertainment ended up firing the majority of the Escape from Playtime team - this is what they had to say officially they say development is continuing but i don't know if i can trust this. i'm upset and shocked
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  8. Kushal Byatnal✓@kushalbyatnal
    Extend UI is now approaching 2M monthly npm downloads 📈 - fully open source (MIT licensed) - 1.6k GitHub stars - officially supported by our team many of the largest AI startups/enterprises already use it in production if you're building anything where users interact with documents, there's probably something in here you need: - DOCX editor & viewer: rich text formatting, comments, tracked changes, tables, images, import/export - PDF viewer: text selection, search, page thumbnails, zoom, rotation, and bounding box overlays - PDF editor: highlights, annotations, comment threads, redaction, form filling, and page reordering - XLSX viewer + editor: sheet tabs, formulas, cell formatting, frozen panes, merged cells, and export - PPT viewer: in-browser slide rendering, thumbnail navigation, and zoom - CSV/TSV viewer: virtualized grids for large datasets, search, and cell navigation - source citations + extraction review: connect extracted fields to bounding boxes in the original document, edit values, and compare JSON outputs - schema builder: visual editor for extraction schemas, nested objects, arrays, enums, and a synced JSON view - document splitting: drag pages between groups and reorder them with page previews - e-signatures: signature and initials placement, date fields, required-field checks, and signed PDF export - file browser: Finder-style folders with icon, list, column, and gallery views - file uploads: drag-and-drop, batch uploads, validation, progress, and retry states - file thumbnails: preview tiles with loading and fallback states - OCR + layout inspection: block, line, and word overlays with confidence coloring and navigation back to the source page
    Extend @ExtendHQ
    Here are a few cool public projects built with our open-source UI kit! 1) @kortix CompanyOS - AI agents that work across your company’s tools, tasks, and shared knowledge 2) OpenMeld by @felixlu1018 - a shared workspace where people and AI agents collaborate and pick up where others left off 3) Jevbox, built by our own @andrewlu0 - a document library that organizes your files and answers questions with page-level citations 4) Neutree Agent Platform - a self-hosted platform for building and sharing AI agents, with Extend UI powering document previews
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  9. Extend@ExtendHQ
    Here are a few cool public projects built with our open-source UI kit! 1) @kortix CompanyOS - AI agents that work across your company’s tools, tasks, and shared knowledge 2) OpenMeld by @felixlu1018 - a shared workspace where people and AI agents collaborate and pick up where others left off 3) Jevbox, built by our own @andrewlu0 - a document library that organizes your files and answers questions with page-level citations 4) Neutree Agent Platform - a self-hosted platform for building and sharing AI agents, with Extend UI powering document previews
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  10. Ziven Tech✓@Ziven_Coder
    1. (solve any problem) 2. (remove backgrounds) 3. (research anything) 4. (compose music) 5. (design graphics) 6. (clone voices) 7. (perfect notes) 8. (summarize YouTube) 9. (edit videos) 10. (edit podcasts) 11. (create AI avatar videos) 12. "Oxylabs Web API MCP" ( (powerful web data extraction for AI agents) Save + Share ❤️🫂 If you’d love to see more content like this, don’t forget to follow @Ziven_Coder for more AI magic! 🚀
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  11. VECERT Analyzer✓@VECERTRadar
    ⚠️ 🇵🇾 🏛️ 🗄️ PREVENTIVE ALERT - ALLEGED EXFILTRATION FROM A PARAGUAYAN GOVERNMENT DATABASE (THREAT ACTOR: MORTEMTEAM / SKYLING) [STATUS: ALLEGED / UNCONFIRMED / THREAT ACTOR: MORTEMTEAM (SKYLING) / DATE: NOVEMBER 7, 2026] Centralized cyber-intelligence systems have intercepted a statement and a data sample on underground forums (posted on November 7, 2026) by the actor "skyling," representing the group MortemTeam. The report claims the identification of critical security flaws within Paraguay’s public infrastructure, resulting in the exposure of a massive dump of government and citizen identity records. The group issued a direct warning to the government and citizens of Paraguay, stating that the vulnerabilities remain exposed and that they will continue to demonstrate the extent of the breach unless there is a verifiable response and remediation. As proof of access, the actor provided a JSON-formatted sample containing detailed records of Paraguayan citizens. It is strictly noted that the veracity of this intrusion, the access vector, and the overall authenticity of the exposed records have not been officially confirmed by the government of Paraguay or national incident response centers. Threat Actor: skyling / MortemTeam Victim : Government of Paraguay / Public Infrastructure and Citizen Records — 🇵🇾 Paraguay. Sector: 🏛️ Government, National Identity, Civil Registries, and Public Services. Date of Publication: November 7, 2026. Nature of the Incident: Alleged compromise of state databases, massive exfiltration of personally identifiable information (PII), and demographic data of the population. 🔍 TECHNICAL BREAKDOWN OF THE COMPROMISED INFORMATION (ALLEGED) Based on the JSON-formatted sample provided by the actor on the forum, the data fields exfiltrated per record include: Personal and Identity Data: First name (nombre1), middle name (nombre2), third name (nombre3), first surname (apellido1), second surname (apellido2), and identification document number (documento). Demographic and Biographical Information: Sex (sexo), date of birth (fecha_nacimiento), place of birth, and parental information (names and identification document details). Location and Contact Data: Phone numbers (telefono, celular), email address (email), department (departamento), municipality (municipio), neighborhood (barrio), and declared residential address. 🛡️ TECHNICAL PREVENTIVE AND CONTAINMENT RECOMMENDATIONS (SOC / CSIRT / GOVERNMENTAL) Auditing and Blocking of Government Endpoints: Paraguayan state IT teams must immediately review access logs for identification and civil registry databases to determine the source of the data extraction. Protection Against Fraud and Identity Theft: Given the exposure of identification document numbers, dates of birth, residential addresses, and phone numbers, it is advised to activate security alerts to protect the public against potential fraud or social engineering campaigns. 🖥️ CENTRALIZED THREAT MONITORING SYSTEM Intelligence System: Quickly check your security at: Quotes and services: #Paraguay #MortemTeam #GovernmentLeak #DataLeak #DataBreach #BreachAlert #DarkWeb #Hacking #ThreatIntel #ThreatIntelligence #InfoSec #CyberAlert #VECERT #SOC #CSIRT #Unconfirmed #SecurityAlert #CyberDefense #CyberRisk
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  12. Ben_logix CFC✓@Ben439892881932
    😳 WAIT FOR THE EXTRACTION! 🤯 This is Not beef, but it is human flesh. An ingrown hair AND a stubborn blackhead in one satisfying removal session! The moment that trapped hair comes out 😭 Oddly satisfying ? Be honest... 👀 #IngrownHair #BlackheadRemoval #Satisfying
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  13. 🌱Benson✓@aduwaye77
    What Genesis holders actually own Not just an NFT. A permanent claim on the launchpad itself. @FungoLabs Genesis is a fixed 3,232-supply collection of encrypted NFTs on Ethereum, built with FHE on Zama. Every piece mints sealed, the holder decides what gets revealed, and the essence stays private forever. The utility is designed to scale with the platform. Here’s the full allocation: 1. Revenue share (perpetual) - 4.5% of every sale on the launchpad goes to Genesis holders (including the Genesis sale itself). - 20% of all other platform revenue creation fees, bids, royalties, token fees, and pool fees, flows into the same pool. - Split equally across all 3,232 NFTs and claimable in ETH, ZAMA, and drop tokens directly from the Genesis tab in the Vault. The team’s 232 NFTs take zero from this pool; that share is used for buyback and burn of $FUNGO. 2. Allocation on every launch Every token that launches on FungoLabs allocates a minimum of 5% (and up to 20%) of its supply to Genesis holders. This compounds with every successful project that ships. 3. The $FUNGO airdrop 36% of the total $FUNGO supply (3.6 billion tokens) is reserved for Genesis holders, 1,113,861 $FUNGO per NFT. - Snapshot is taken at the TGE block. - Claim window is fixed at 7 days in the contract. - Unclaimed tokens are burned. - Claimable as regular $FUNGO or sealed as cFUNGO. **4. Buyback & burn alignment** The revenue share that would have gone to the team’s NFTs is directed entirely to buying and burning $FUNGO. No team extraction from that stream. Demand signal: more than 3,000 projects have already applied to launch on FungoLabs. The structure is simple. Genesis holders sit at the center of both the fee economy and the token launches that follow. As the launchpad grows, so does the claim. Official details: [ and the Fungo Genesis page. Always verify contracts and links from official sources only.
    FungoLabs @FungoLabs
    What awaits Fungo Genesis holders? 1- A share of every sale: 4.5% of every sale on the launchpad goes to Genesis NFT holders, the Genesis sale included. 20% of the platform's other revenue (creation, bid, royalty, token and pool fees) flows into the same pool. It's all split equally across the 3,232 NFTs and claimable in ETH, ZAMA and drop tokens from the Genesis tab in your Vault. 2- A share of every token launched: Every token launched on FungoLabs gives at least 5%, and up to 20%, of its supply to Genesis holders. 3- The FUNGO airdrop: 36% of the $FUNGO supply goes to Genesis holders: 1,113,861 FUNGO per NFT. The snapshot is taken at the TGE block, there are 7 days to claim, and unclaimed tokens are burned. 4- Buyback and burn: The revenue share of the team's NFTs is used to buy back and burn FUNGO. 🟨 And some good news: more than 3,000 projects have already applied to launch on FungoLabs.
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  14. FungoLabs✓@FungoLabs
    What awaits Fungo Genesis holders? 1- A share of every sale: 4.5% of every sale on the launchpad goes to Genesis NFT holders, the Genesis sale included. 20% of the platform's other revenue (creation, bid, royalty, token and pool fees) flows into the same pool. It's all split equally across the 3,232 NFTs and claimable in ETH, ZAMA and drop tokens from the Genesis tab in your Vault. 2- A share of every token launched: Every token launched on FungoLabs gives at least 5%, and up to 20%, of its supply to Genesis holders. 3- The FUNGO airdrop: 36% of the $FUNGO supply goes to Genesis holders: 1,113,861 FUNGO per NFT. The snapshot is taken at the TGE block, there are 7 days to claim, and unclaimed tokens are burned. 4- Buyback and burn: The revenue share of the team's NFTs is used to buy back and burn FUNGO. 🟨 And some good news: more than 3,000 projects have already applied to launch on FungoLabs.
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  15. Rex✓@_MrRex
    The most oddly satisfying blackhead extraction you’ll watch today… every single pore gets cleared out perfectly
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  16. VECERT Analyzer✓@VECERTRadar
    ⚠️ 🇻🇪 📻 🗄️ PREVENTIVE ALERT - ALLEGED DATA EXFILTRATION REGARDING CONATEL SERVICE PROVIDERS IN VENEZUELA (ACTOR: Y3RK404 / ATR0PHYX 404) [STATUS: ALLEGED / UNCONFIRMED / THREAT ACTOR: Y3RK404 / ATR0PHYX 404 CREW / DATE: NOVEMBER 7, 2026] Centralized cyber-intelligence systems have intercepted a post on clandestine channels (recorded on November 7, 2026) regarding a data exfiltration and dump by the actor Y3rk404, representing the group Atr0phyx 404 Crew. The report announces the alleged release of a sample containing 811 records of radio and television service providers registered with the National Telecommunications Commission (CONATEL) in Venezuela ( obtained through automated data extraction (scraping) from public records. The actor states that the total extracted repository amounts to approximately 4,000 records, with the remainder currently being withheld. The released sample, in CSV format (`prestadores_venezuela_completo.csv`), contains detailed information regarding the operating companies and permit holders. It is strictly noted that the veracity of this intrusion, the method used to obtain the data, and the overall authenticity of the exposed records have not been officially confirmed by CONATEL or any incident response centers in Venezuela. Threat Actor: Y3rk404 (Atr0phyx 404 Crew). Victim / Target: CONATEL (National Telecommunications Commission) / Radio and Television Service Providers — 🇻🇪 Venezuela. Sector: 📻 Telecommunications, Broadcasting, Media, and Government Regulation. Publication Date: November 7, 2026. Reported Volume: A sample of 811 records (from an estimated total of 4,000 records in the repository). Nature of the Incident: Alleged mass data extraction via scraping of institutional portals, involving the exfiltration of tax information, contact details, and data pertaining to legal representatives. 🔍 TECHNICAL BREAKDOWN OF THE COMPROMISED INFORMATION (ALLEGED) Based on the field structure provided by the author in the CSV file, the exposed data includes: Corporate and Tax Data: Trade name, legal business name of the operating entity, and Tax Identification Number (RIF). Representation and Contact Information: Identification number (national ID) of the legal representative, physical addresses of stations or offices, and corporate or institutional email addresses. CSV File Field Schema: "Trade Name" "Legal Business Name" "Tax ID (RIF)" "Representative's ID" "Address" "Email" 🛡️ TECHNICAL PREVENTIVE AND CONTAINMENT RECOMMENDATIONS (SOC / CSIRT / INSTITUTIONAL) Audit and Restriction of Public Endpoints: CONATEL’s technical teams should review access control policies and anti-scraping mechanisms (protections against automated data extraction) applied to their online directories and public registries. Protection Against Fraud and Impersonation: Given the exposure of corporate Tax IDs (RIFs), physical addresses, and email addresses belonging to media outlets and broadcasters, it is advised to alert legal representatives to help prevent social engineering attempts or institutional impersonation. 🖥️ CENTRALIZED THREAT MONITORING SYSTEM Intelligence System: Quickly check your security at: Quotes and services: #Venezuela #CONATEL #RadioTV #DataLeak #DataBreach #BreachAlert #DarkWeb #Hacking #ThreatIntel #ThreatIntelligence #InfoSec #CyberAlert #VECERT #SOC #CSIRT #Unconfirmed #SecurityAlert #CyberDefense #CyberRisk
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  17. Me❤️✓@Me09919200
    Be honest do u love these extraction videos?
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  18. VECERT Analyzer✓@VECERTRadar
    ⚠️ 🇪🇨 🏛️ 🗄️ PREVENTIVE ALERT - ALLEGED DATA EXPOSURE OF ECUADORIAN CITIZENS (ACTOR: FURTADO) [STATUS: ALLEGED / UNCONFIRMED / THREAT ACTOR: FURTADO / DATE: NOVEMBER 3, 2026] Centralized cyber-intelligence systems have intercepted a post on underground forums (made on November 3, 2026) by the threat actor known as FURTADO. The post claims the availability of contact and identification information belonging to Ecuadorian citizens, allegedly sourced from various public entities—specifically mentioning institutions such as the Ecuadorian Social Security Institute (IESS) and the Internal Revenue Service (SRI). It is strictly noted that the veracity of this leak, the origin of the data extraction from state systems, and the overall authenticity of the exposed records have not been officially confirmed by authorities or incident response centers in Ecuador. As this concerns posts on underground forums, the definitive status of the incident remains alleged and unconfirmed. Threat Actor: FURTADO. Victim / Target: Citizens of Ecuador (data linked to public entities such as the IESS and the SRI) — 🇪🇨 Ecuador. Sector: 🏛️ Public Government Sector, Social Security, Tax Administration, and Citizen Records. Date of Publication: November 3, 2026. Nature of the Incident: Alleged exfiltration and subsequent circulation/sale of databases containing personally identifiable information (PII) and contact details of Ecuadorian citizens. 🔍 TECHNICAL BREAKDOWN OF THE INFORMATION Based on the structure of the samples posted on the forum by the threat actor: Exposed Data Fields (PII and Contact Information): National identification number / Unique identification record. Full names (first and last) of the individuals. Email addresses (personal or corporate). Landline and mobile phone numbers. Residential addresses and geographic location details (street, province, canton, and parish/sector; including migration records or data from host systems). Administrative Metadata: Internal references related to social security affiliation or services (such as tags labeled "SSC"). 🛡️ TECHNICAL RECOMMENDATIONS FOR CONTAINMENT AND PREVENTION (SOC / CSIRT / GOVERNMENT) Audit and Review of APIs in Public Institutions: Technical and cybersecurity teams within the Ecuadorian government (including the IESS and the SRI) must immediately verify the integrity of their databases and perimeter access to rule out automated data extraction (scraping) or breaches within institutional servers. Active Monitoring of Clandestine Channels: Track the activity of the user "FURTADO" on forums and Telegram channels to determine whether the entire database is being sold on a large scale or if the incident involves only a partial leak of data samples. Mitigation of Social Engineering Risks: Alert the public regarding potential identity theft campaigns, telephone scams, or financial fraud that may leverage the personal data exposed in the published extracts. 🖥️ CENTRALIZED THREAT MONITORING SYSTEM Intelligence System: Quickly check your security at: Quotes and services: #Ecuador #IESS #SRI #GovernmentSec #DataLeak #DataBreach #BreachAlert #DatabaseLeak #DarkWeb #Hacking #ThreatIntel #ThreatIntelligence #InfoSec #CyberAlert #VECERT #SOC #CSIRT #Unconfirmed #SecurityAlert #CyberDefense #CyberRisk
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  19. Bella✓@missbella_344
    Scorpion 🦂 Venom extraction You think the job is hard, until you sell one liter 😌
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  20. Princess Edima✓@princess_edima
    Carefully extraction of blackhead Satisfying to watch
    Victoria uranta/ Digital @VisioEaseDigita
    Can you imagine this blackhead coming out from your body but I don’t know how people find this satisfying to watch
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  21. Connected Data✓@Connected_Data
    Ontology, Knowledge Graphs, and the Decision Model That Judges Them Building knowledge graphs with LLMs has a cost structure that is easy to misread. Extraction is cheap and getting cheaper. Verification is where the money goes. For every candidate entity and every candidate relation, something has to decide whether it is true to the document. That judgment repeats tens of thousands of times, which is the job a decision model exists for. The model in question is Jev, a small decision model from TypeSafe built to take a claim, weigh the evidence and commit to an answer. The pattern it challenges: - One large model handling extraction, summarisation and community building, with every step billed at frontier rates -The model that proposes a fact also being the one that grades it -Reasoning models adding a deliberation meter, paying for pages of thinking to collect one-word yes/no verdicts OntoSmith splits the work into three layers: -A cheap mid-tier model proposes triples (Claude Haiku 5.5 in the reference setup). It reads and suggests. It does not decide. -A fitted pair call and then Jev judge every candidate before anything reaches the graph -A frontier model is reserved for the genuinely hard calls The shared map is the ontology: versioned, hash-pinned packs for open-domain text, legal contracts and biomedical literature over a domain-neutral core. For a document type with no ready ontology, one is drafted for approval. The graph lives in Neo4j, one graph per ontology build. This is not RAG versus Graph RAG. Search handles answers that sit in one paragraph. Graphs add value when relations span pages: +0.080 recall@20 (0.631 to 0.712) on a pinned 116-question set over long contracts, and exactly zero on short abstracts. The measured figures: -3.8 cents per document across 500 documents in the flagship build -About 7 cents per document projected for judging alone in the default configuration -Corrected graph precision of 0.911 [0.892 to 0.928], revised down after a re-audit by a judge from a different model family, with the working shipped alongside One lesson from the build: a decision model on default parameters is someone else’s operating point. Thresholds were fitted stage by stage, and experiments that missed their pre-registered bars stayed in the record as failures. OntoSmith is MIT-licensed, on PyPI (pip install ontosmith) and on GitHub. 🔎 By Dongbum Lee Github Article #OntoSmith #Neo4j #DecisionModels #RAG #LLM -- Connected Data London 2026 | 11–12 November | Leonardo Royal Hotel London Tower Bridge 🎟 Tickets on sale now - 🔔 Just a few days left! 📺 Sponsorship opportunities available. Contact info@connected-data.london for details. #KnowledgeGraph #GraphRAG #Ontology #Graph #AI #DataScience #GraphDB #SemTech
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  22. Sunita yadav✓@Adarshyadah59w
    😱🚨 Is this the craziest extraction ever? ​You won't believe what they found packed deep inside this ear. It starts off looking like a normal cleaning, but then something massive shifts 😳. The sheer size of the dark blockage is completely impossible to ignore. Just when you think it's over, the situation takes an unexpected turn 🫣. You will experience powerful emotions and suspense as the specialized tool goes to work. This is one of those wild procedures you simply have to witness to understand 🤯. ​Watch till the end to see if they get it all out! 🍿👀😲
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  23. Victoria uranta/ Digital✓@VisioEaseDigita
    Can you imagine this blackhead coming out from your body but I don’t know how people find this satisfying to watch
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    2255637384K
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