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HUAWEI FreeClip Wireless Bluetooth Headphones Review


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HUAWEI FreeClip, Rose Gold, Wireless Bluetooth Headphones, Innovative Aesthetic Design, Featherlight Use

Optus Informs Government of Triple Zero Disruption via Wrong Email Address


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Optus Notification Blunder: Triple Zero Outage Alert Sent to Wrong Email

Quick Read

  • Optus dispatched Triple Zero outage notifications to an obsolete government email address, overlooked for over 24 hours.
  • The Australian Communications and Media Authority (ACMA) notified officials of the outage.
  • The correct email address was available, but Optus erroneously utilized the old one.
  • The communications department did not consider Optus’s notification procedure finalized.
Optus used wrong email address for Triple Zero outage alert

How the Notification Error Occurred

Optus sent vital alerts regarding a Triple Zero outage to a decommissioned government email address, causing a delay in response. The email remained unexamined for over 24 hours, only being found after the Australian Communications and Media Authority (ACMA) notified federal officials about the problem.

The Timeline of Events

The notifications were first sent on Thursday, September 18. However, federal communications officials were only informed of the incident on Friday, September 19, at 3:30 PM, after a tip from ACMA.

Government Response and Oversight

James Chisholm, deputy secretary of communications and media, stated that the email was routed to a defunct mailbox. This address had been superseded a week earlier, and Optus had been notified of the new email.

Optus’s IT Upgrade and Email Error

Optus had informed the department on September 12 about an IT upgrade designed to ensure notifications were directed to the correct address. Nevertheless, the alert about the outage was sent to the previous address.

Government Systems and Accountability

Sam Grunhard, first assistant secretary, mentioned that the new email address was provided to telecommunications companies on September 11. Optus successfully sent 272 notifications to the new address, yet the vital outage alert was misrouted.

Monitoring and Transition Issues

There was no verification whether the old mailbox had a forwarding feature to redirect emails to the new address, raising concerns about oversight during the transition. Chisholm emphasized that the notification was deemed incomplete due to the mistake.

Summary

Optus’s mistake in using the incorrect email address for emergency notifications caused a delay in the government’s response to a Triple Zero outage. This situation underscores the necessity of maintaining precise contact information and ensuring communication channels are adequately monitored throughout transitions.

Q: What was the primary issue with Optus’s notification?

A: Optus sent a significant outage notification to an outdated and unmonitored government email address, leading to a delay in response.

Q: How did the government learn of the outage?

A: The Australian Communications and Media Authority (ACMA) alerted federal communication officials, which led to the discovery of the missed email.

Q: Were there any measures in place to avoid such errors?

A: The government had notified telecommunications companies of the new email address, but the oversight during the transition did not confirm if the old address had forwarding systems to prevent missed notifications.

Q: How many notifications did Optus send successfully?

A: Optus correctly dispatched 272 notifications to the new email address.

sajawass Wireless Earbuds Review


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sajawass Wireless Earbuds, 75H Playtime Bluetooth 5.3 Headphones, IP7 Waterproof for Running, Wireless in-Ear Earphones for iOS/Android

Tesla’s FSD V14 Launched: Explore the Newest Features Including Road Debris Evasion!


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Tesla’s FSD V14 Launch Unveils Exciting New Capabilities

Tesla’s FSD V14: An Extensive Upgrade

Tesla FSD V14 features road debris avoidance

Quick Overview

  • FSD V14 features road debris detection, enhancing safety.
  • New parking configurations enable users to select specific parking spots.
  • Improved emergency vehicle management leads to safer navigation.
  • Navigation updates accommodate road blockages and rerouting.
  • Speed profiles are now adjustable for user preference.
  • Increased system reliability and fault recovery capabilities.

New Parking Configurations

Tesla’s FSD V14 provides more options for parking flexibility. Drivers can now designate their preferred parking locations from choices including parking areas, streets, driveways, garages, or curbside. This feature enhances convenience for users and adapts to different parking situations.

Enhanced Emergency Vehicle Management

FSD V14 has refined its management of emergency vehicles such as police cars, fire trucks, and ambulances. This capability is vital for the evolution of autonomous vehicles, ensuring they can yield or pull aside when needed safely.

Improved Navigation and Routing Capabilities

By integrating navigation and routing with the vision-based neural network, FSD V14 offers real-time management of blocked pathways and alternative routes. This enhancement strives to facilitate a smoother driving experience, getting users to their destinations more quickly.

Adjustable Speed Profiles

With the rollout of adjustable speed profiles, users can now select from modes labeled ‘Sloth’, ‘Chill’, ‘Standard’, and ‘Hurry’. This feature, previously unavailable in Australia, allows drivers to tailor their driving preferences.

Management of Static and Dynamic Gates

The update also brings enhanced handling for both static and dynamic gates, which is essential for drivers residing in gated communities or workplaces. This improvement is anticipated to boost the system’s effectiveness in various environments.

Road Debris Detection

Arguably the most awaited feature, road debris detection ensures the vehicle can identify and steer clear of obstacles like tyres, tree branches, and boxes. This capability is crucial for the feasibility of Tesla’s robotaxi service.

Enhanced Safety and System Reliability

FSD V14 offers improved navigation through complex driving situations, including unprotected turns, lane changes, vehicle cut-ins, and interactions with school buses. Additionally, the update enhances the system’s capability to manage faults, ensuring seamless recovery from operational challenges.

Windshield Visibility Notifications

Utilizing advanced computer vision, the FSD system can now notify drivers about the accumulation of residue on the internal windshield that may hinder camera visibility, suggesting a service visit for cleaning. This feature capitalizes on Tesla’s cutting-edge camera technology to uphold optimal driving conditions.

Recap

Tesla’s FSD V14 update represents a significant advancement in autonomous driving technology. By incorporating features like road debris detection and better emergency scenario management, Tesla is consistently expanding the possibilities of self-driving innovation. These enhancements not only bolster safety but also improve user convenience, advancing Tesla’s vision of a fully autonomous vehicle.

Q: What are the main features of Tesla’s FSD V14?

A:

Main features encompass road debris detection, improved emergency vehicle management, updated parking arrangements, navigation improvements, adjustable speed profiles, enhanced system reliability, and windshield visibility notifications.

Q: How does the new road debris detection feature function?

A:

The road debris detection feature utilizes Tesla’s vision-based neural network to identify and evade obstacles such as tyres and branches, ensuring safer travel and minimizing damage risk.

Q: Are Australian users able to access the new speed profiles?

A:

Yes, with FSD V14, users in Australia can now select from several speed profiles, allowing them to adjust their driving style to better reflect their preferences.

Q: What enhancements have been made for emergency vehicles?

A:

FSD V14 has improved its capability to recognize and yield for emergency vehicles, a critical aspect for the safe functioning of autonomous systems.

Q: How does Tesla manage windshield visibility concerns in FSD V14?

A:

The update introduces alerts concerning residue accumulation on the internal windshield that could affect camera visibility. Tesla recommends visiting a service center for cleaning when necessary.

Google DeepMind Implements AI Tool to Address Software Weaknesses


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Google DeepMind’s CodeMender AI Agent Addresses Software Vulnerabilities

Google DeepMind’s CodeMender AI Agent Addresses Software Vulnerabilities

Google DeepMind addresses software vulnerabilities with AI agent

Brief Overview

  • Google DeepMind unveils CodeMender, an AI solution for spotting and correcting software vulnerabilities.
  • In just six months, CodeMender has provided 72 security enhancements to open-source software.
  • The AI tool utilizes Gemini Deep Think models to independently diagnose and resolve intricate coding challenges.
  • Human experts review the AI-generated patches prior to final implementation.
  • Google invites input from open-source maintainers to further improve the tool.

CodeMender: A Significant Step in AI-Enhanced Security

Google DeepMind’s newest creation, CodeMender, signifies a major leap in applying artificial intelligence to tackle software vulnerabilities. This AI agent is engineered to instantaneously detect and rectify security flaws, empowering developers in the relentless effort to secure codebases.

Self-Sufficient Debugging with Gemini Deep Think Models

CodeMender employs the latest Gemini Deep Think models to facilitate self-sufficient debugging and resolution of intricate vulnerabilities. These models provide the AI with analytical tools to implement effective code modifications, which are subsequently validated automatically to avert regressions and new troubles.

Collaboration Between Humans and AI in Code Security

Although CodeMender autonomously detects and proposes patches, these AI-created solutions undergo human scrutiny before they are enacted. This cooperative model guarantees that the patches not only remedy the problem but also conform to style standards, making them more comprehensible for human developers to review and endorse.

Influence on Open-Source Initiatives

In the last six months, CodeMender has made 72 security contributions to open-source projects, managing codebases as large as 4.5 million lines. Remarkably, the tool has pinpointed and rectified complex problems like memory heap buffer overflows and improved the libwebp library by implementing bounds checks to avert buffer overflows.

Upcoming Developments and AI in Security

Google intends to solicit feedback from open-source project maintainers to further hone CodeMender prior to its broader deployment. Additionally, DeepMind is gearing up to release comprehensive technical documents on the tool. The role of AI in security is expanding, evident from other DeepMind projects such as the Big Sleep tool and Google’s initiatives for AI-driven ransomware detection in the Workspace productivity suite.

Conclusion

Google DeepMind’s CodeMender serves as an AI-driven solution aimed at autonomously identifying and patching software vulnerabilities. By utilizing state-of-the-art AI models paired with a human review process, CodeMender has already made notable contributions to open-source initiatives, highlighting AI’s potential in bolstering software security.

Questions & Answers

Q: What is CodeMender?

A: CodeMender is an AI solution created by Google DeepMind to autonomously locate and correct security vulnerabilities in software code.

Q: How does CodeMender operate?

A: CodeMender harnesses Gemini Deep Think models to independently debug code and recommend patches, which are subjected to human review before execution.

Q: What impact has CodeMender made thus far?

A: In half a year, CodeMender has delivered 72 security fixes to open-source projects and tackled intricate issues such as memory heap buffer overflows.

Q: How does Google plan to enhance CodeMender?

A: Google will collect feedback from open-source maintainers and develop thorough technical documents to refine CodeMender further before a wider release.

Q: How does CodeMender ensure the reliability of its patches?

A: Patches proposed by CodeMender undergo review by human developers to ensure compliance with style guidelines and to prevent the introduction of new issues.

Soundcore V20i Open-Ear Headphones Review


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Soundcore V20i by Anker Open-Ear Headphones, Adjustable Ear Hooks, Ultra-Comfort, Snug Fit, Powerful Sound, Clear Calls, IP55, LED Lights, 36H Playtime, Bluetooth 5.4 Earbuds, Multipoint Connection

IPL TECH Infinity Pods Bluetooth 5.3 Wireless Earbuds Review


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IPL TECH Infinity Pods Bluetooth 5.3 Wireless Earbuds – Touch Control, HiFi Sound, Mic, Long Battery

LinkedIn Initiates Legal Proceedings Against Suspected Data Scrapers Utilizing Millions of Counterfeit Accounts


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Quick Read

  • LinkedIn has launched a legal suit against ProAPIs and Netswift for supposedly generating fake accounts for the purpose of data scraping.
  • The firms are accused of utilizing millions of fraudulent accounts to gain access to restricted and confidential LinkedIn information.
  • LinkedIn aims to prevent these companies from reaching its platform and demands the eradication of the scraped data.
  • This lawsuit emphasizes LinkedIn’s continuous struggle against data scraping, including a prior case against HiQ Labs.
  • The legal proceedings highlight the difficulties in safeguarding user data in today’s digital landscape.

Legal Proceedings Against Data Scrapers

LinkedIn, a subsidiary of Microsoft, has begun legal action against ProAPIs, a company based in Delaware, and Netswift, a Pakistani entity, for allegedly maintaining millions of fake accounts. These accounts are claimed to be used for extensive data scraping on the professional networking site.

Details of the Accusations

The lawsuit, submitted in the Northern District of California, asserts that ProAPIs and its affiliates operate a vast array of fake accounts. These accounts reportedly gather data from LinkedIn member profiles, company information, and user posts before being identified by LinkedIn’s security protocols.

LinkedIn claims that ProAPIs generated thousands of email accounts to create these fake identities using fictitious names and stock photos as profile images. Despite LinkedIn’s attempts to shut them down, the defendants allegedly continued to generate hundreds or thousands of new accounts each day.

Effects on LinkedIn’s Infrastructure

The data scraping activities have imposed an “unreasonable load” on LinkedIn’s servers, burdening resources disproportionally compared to genuine users. This has compelled LinkedIn to expand its server capacity, resulting in considerable time and financial expenditure to address the situation.

LinkedIn’s Requests and Legal Precedents

LinkedIn is pursuing a jury trial and a permanent injunction to stop the defendants from accessing its site. The platform demands that all collected data be eliminated, that customers who bought this data be informed, and that damages are compensated, which may include potential punitive damages.

LinkedIn’s user agreement categorically forbids scraping and the creation of fake accounts, stipulations which the defendants acknowledged. This case follows LinkedIn’s earlier legal triumph over HiQ Labs, a company that employed comparable scraping methods.

Summary

LinkedIn’s legal action against alleged data scrapers underscores the persistent struggle to maintain user privacy and data fidelity. By taking a stand against such actions, LinkedIn intends to protect its platform and users from unauthorized data harvesting.

Q&A Section

Q: Which companies are implicated in the lawsuit?

A: The lawsuit involves ProAPIs, a US-based company, and Netswift, a Pakistani firm, alongside individual defendant Rehmat Alam.

Q: What is LinkedIn accusing these firms of?

A: LinkedIn accuses them of generating millions of fraudulent accounts to illegally scrape user data from the platform.

Q: How does LinkedIn identify and manage fake accounts?

A: LinkedIn employs technical measures to identify and manage fake accounts, though some manage to collect data before they are terminated.

Q: What are the possible repercussions for the defendants?

A: If convicted, the defendants could face a permanent restraining order, the destruction of scraped data, customer notifications, and damage payments.

Q: How has LinkedIn approached similar cases previously?

A: LinkedIn successfully resolved a legal dispute against HiQ Labs, a company involved in similar data scraping practices.

Q: Why is data scraping a significant issue for LinkedIn?

A: Data scraping can result in unauthorized utilization of user data, which may expose users to spam, fraud, and privacy violations.

QXQ Mystic White Wireless Ear Buds Review


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QXQ Mystic White Wireless Ear Buds, Bluetooth 5.4 Earbuds in-Ear Headphones for for TV Smart Phone Laptop Computer Sports