Natalia Riveros

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Natalia Riveros

Natalia Riveros

@natrizx

Go to Heaven for the climate, Hell for the company. Mark Twain Ingeniera en Energía-FP UNA.

Lucerne, Switzerland Katılım Mart 2011
1.4K Takip Edilen465 Takipçiler
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Natalia Riveros retweetledi
Emilio Moriarty
Emilio Moriarty@ProfMoriarty_Py·
Sir David Attenborough vino al Paraguay para buscar animales exóticos, como el "tatu". Cuándo llegó al país y lo mencionó, los muchachos se partieron de la risa; al pedirle más datos él contestó que "buscaba tatus de todos los colores", y las risas fueron más aún. Después le explicaron el por qué de las risas.
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Alerta News 24
Alerta News 24@AlertaNews24·
🌎 | La empresa matriz de Canvas, Instructure, ha sido hackeada, y el sitio está siendo retenido por un rescate tras sufrir una brecha de datos. Se informa que más de 9000 escuelas han sido afectadas y ~225 millones de usuarios en todo el mundo tuvieron su información personal potencialmente comprometida.
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Pop Crave
Pop Crave@PopCrave·
Today is May 4th.
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Natalia Riveros
Natalia Riveros@natrizx·
@MushtaqBilalPhD "If you're a student in a Global South/Developing regions/Emerging markets country and want to do a fully-funded Master's/PhD in a first-world country, read this"
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Mushtaq Bilal, PhD
Mushtaq Bilal, PhD@MushtaqBilalPhD·
If you're a student in a third-world country and want to do a fully-funded Master's/PhD in a first-world country, read this👇
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Ooo
Ooo@ooogoesbrrr·
me in a Teams meeting waiting to say "nothing from my side”
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Neil Renic
Neil Renic@NC_Renic·
Bury me with the pdfs I failed to read in life
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VECERT Analyzer
VECERT Analyzer@VECERTRadar·
🚨 CRITICAL CYBERINTEL ALERT: INSURANCE DATABASE LEAK – PARAGUAY 🇵🇾🏥🔓 A massive data breach has been detected, affecting Paraguayan citizens linked to a database within the insurance sector. Threat actor "dbrick84" has published a dataset on BreachForums containing sensitive personal information belonging to hundreds of thousands of individuals. 🏢 Affected Entity: Insurance Sector in Paraguay (specific entity TBC). 👤 Threat Actor: dbrick84. 📂 Leak Volume: 288,394 individual records. 📅 Publication Date: April 28, 2026. 📊 Breach Scope (PII and Insured Status) The exposed data sample reveals a structure that enables the full identification of citizens: Official Identity: National Identity Card numbers (national_id). Full Names: First and last names linked to the ID document. Demographic Data: Exact dates of birth. Insurance Information: Policy status (ACTIVE, INACTIVE, UNKNOWN) and record type (policyholder). Location: Country of origin (PY - Paraguay). 🛡️ Immediate Response Recommendations 🔒 Security Verification: Insurance companies in Paraguay are urged to conduct data integrity audits on their databases to identify the source of the data exfiltration. 🔑 ID Monitoring: Citizens should remain vigilant for any unusual use of their national identity numbers on financial or government portals. Monitor: analyzer.vecert.io #CyberSecurity #Paraguay #DataBreach #Insurance #ParaguayanID #PII #dbrick84 #VECERT #InfoSec #CTI 🇵🇾🛡️⚠️🚨🏥
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Bitwarden
Bitwarden@Bitwarden·
Bitwarden identified and contained a malicious package briefly distributed through the npm delivery path for the Bitwarden CLI in connection with the broader Checkmarx supply chain incident. No user vault data or production systems were compromised or at-risk. Additional details and updates are available here: community.bitwarden.com/t/bitwarden-st…
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ຸLaura Bennett
ຸLaura Bennett@NefflynB·
Me acaban de regalar mi primera tarjeta, que es lo primero que debería comprar?
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Natalia Riveros
Natalia Riveros@natrizx·
@Kinai_24 El grupo de Zhang et al vio esto antes de invadir en cada artículo científico posible.
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Kinai
Kinai@Kinai_24·
YouTube sabe qué skills estoy interesada en aprender
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Natalia Riveros
Natalia Riveros@natrizx·
What an incredible journey this has been, it took discipline and resilience all the way. Thank you, @cybersafehq, for this opportunity and the chance to represent Paraguay 🇵🇾 in this amazing cohort. #CyberSafeFoundationAPISec2.0 #APISecGraduates #MyAPISecStory
Cybersafe Foundation@cybersafehq

Natalia moved from understanding systems to questioning their assumptions, building a stronger security mindset through API security training. #CyberSafeFoundation #WomenInCybersecurity #APISecurity

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Open Knowledge Foundation (@okfn@fosstodon.org)
💭🧑🏾‍💻 How do social sector organisations gather 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 about #AI that is relevant for their field? ✨ Meet the #AILearningLabs. We are partnering with selected orgs to catalyse learning and produce public, multilingual AI literacy resources.
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Rafael Mariano Grossi
Rafael Mariano Grossi@rafaelmgrossi·
As Paraguay explores new options to meet its growing electricity needs, Small Modular Reactors are emerging as a viable option. Signed an agreement with Paraguay’s @ANDEOficial President @FelixSosaPy on the applications of SMR technology for the integration of nuclear energy into the national energy matrix, as a regional SMR meeting kicked off in Asunción. This will support 🇵🇾 in strengthening its energy planning, building technical capacity, with the @IAEAorg ready to support all the way.
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Luiza Jarovsky, PhD
Luiza Jarovsky, PhD@LuizaJarovsky·
🚨 Interesting report on AI deception by the United Nations' scientific advisory board. Bookmark it below:
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Mario Nawfal
Mario Nawfal@MarioNawfal·
🚨MIT researchers have mathematically proven that ChatGPT’s built-in sycophancy creates a phenomenon they call “delusional spiraling.” You ask it something, it agrees. You ask again, and it agrees even harder until you end up believing things that are flat-out false and you can’t tell it’s happening. The model is literally trained on human feedback that rewards agreement. Real-world fallout includes one man who spent 300 hours convinced he invented a world-changing math formula, and a UCSF psychiatrist who hospitalized 12 patients for chatbot-linked psychosis in a single year. Source: @heynavtoor
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Mario Nawfal@MarioNawfal

🚨 Stanford just proved that a single conversation with ChatGPT can change your political beliefs. 76,977 people. 19 AI models. 707 political issues. One conversation with GPT-4o moved political opinions by 12 percentage points on average. Among people who actively disagreed, 26 points. In 9 minutes. With 40% of that change still present a month later. The scariest finding: the most persuasive technique wasn't psychological profiling or emotional manipulation. It was just information. Lots of it. Delivered with confidence. Here's the catch: the models that deployed the most information were also the least accurate. More persuasive. More wrong. Every time. Then they built a tiny open-source model on a laptop, trained specifically for political persuasion. It matched GPT-4o's persuasive power entirely. Anyone can build this. Any government. Any corporation. Any extremist group with $500 and an agenda. The information didn't have to be true. It just had to be overwhelming. Arxiv, Science .org, Stanford, @elonmusk, @ihtesham2005

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