Techbest – Top Tech Reviews In Australia
The best in Australian gadgets and technology
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Bluetooth Neckband Headphones, IPX5 Waterproof Wireless In Ear Magnetic Sports Earphones, Noise Cancelling Stereo Earbuds for Sports, Workout
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A federal judge in the US has upheld an astonishing $243 million ruling against Tesla for a crash in 2019 involving its Autopilot system. The accident led to the unfortunate death of 22-year-old Naibel Benavides Leon and serious injuries to her companion, Dillon Angulo.
The event took place on April 25, 2019, in Key Largo, Florida, when George McGee, driving his 2019 Tesla Model S, collided with the SUV belonging to Benavides and Angulo. McGee was reportedly distracted while searching for his phone at the time of the crash. The jury found Tesla 33% liable for the collision.
The jury granted $19.5 million to Benavides’ estate and $23.1 million to Angulo. Additionally, $200 million in punitive damages were awarded to be divided between the two. This ruling marks the first occasion that a federal jury has issued a verdict related to a fatal incident involving Tesla’s Autopilot.
Tesla has announced its plans to appeal the verdict, asserting that McGee was exclusively at fault for the incident. The company maintains that its Model S was not defective and argues that automakers should not be held liable for accidents caused by negligent driving. Tesla also challenges the punitive damages, stating that they did not behave with “reckless disregard for human life” as per Florida law.
This case is pivotal as it establishes a precedent for other lawsuits against Tesla concerning its self-driving technology. Even though Tesla has settled numerous similar cases out of court in the past, this ruling could shape forthcoming legal challenges and the public’s perception of Tesla’s autonomous driving abilities.
The $243 million ruling against Tesla for the 2019 accident involving its Autopilot system emphasizes the persistent legal and safety dilemmas associated with autonomous vehicle technology. As Tesla pursues an appeal, this case stands as a critical touchstone for potential future litigation and the broader dialogue on the safety of self-driving vehicles.
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QCY Crossky C30 Open Ear Earbuds Wireless Bluetooth, Clip-On Headphones with 4 ENC Noise Cancelling Mic, Stable Fit, Dual Connection, EQ Customized, Sports Earphones for Workout/Running (White)
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The NSW Police Force is commencing a groundbreaking endeavor by setting up an artificial intelligence (AI) hub designed to modernise policing techniques. Located in Parramatta, this hub will spearhead the integration of AI into a variety of police functions, representing a major technological leap for law enforcement in Australia.
A core element of the hub’s functions is the commitment to the NSW government’s updated artificial intelligence assessment framework (AIAF). This framework is crucial in guaranteeing that AI systems within state agencies are deployed in a safe, ethical, and responsible way. The AI hub will concentrate on automating risk evaluations, categorising them as low, medium, or high based on a predefined questionnaire.
The NSW Police is investigating several uses of AI, including improving suspect sketching, streamlining paperwork, and utilizing data for legal and procedural evaluations. These innovations are intended to boost efficiency and effectiveness in policing methodologies.
While the potential of AI in policing is promising, concerns have arisen regarding the transparency and biases associated with AI tools. Digital rights organizations have voiced apprehensions about the ethical ramifications of these technologies, highlighting the necessity for transparency in their usage.
The NSW Police Force’s plan to create an AI hub represents a tactical step towards the incorporation of advanced technologies in law enforcement. With a commitment to governance and ethical AI practices, the hub seeks to transform policing while addressing possible challenges and public apprehensions.
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HUAWEI FreeBuds 7i Wireless Earbuds, Intelligent Active Noise Cancelling 4.0, Boundless Space Audio, Stable and Clear Calling, iOS and Android, IP54, White
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AI is transforming the software development workflow by enabling autonomous choices, ranging from dependency selection to configuration adjustments. This transition from recommendations to decision-making implies that minor mistakes can swiftly escalate into systemic challenges. Security executives are now grappling with governance issues, requiring them to establish rules and accountability as AI operations may pose substantial risks.
Conventional AppSec frameworks struggle against the quickening pace of AI. Vulnerabilities may proliferate prior to their identification, resulting in a visibility deficit at a moment when risk assurance faces intensified scrutiny. Business leaders expect greater risk transparency, compelling security teams to modify their approaches.
AI exposes and worsens pre-existing security vulnerabilities. In the absence of effective AppSec policies and controls, AI acts as a risk exacerbator. Teams frequently encounter difficulties in justifying accepted risks or validating the presence of sufficient protective measures, highlighting governance and control disparities.
To capitalize on the advantages of AI without endangering safety, organizations require strong AppSec foundations. This necessitates a pivot from prevention to control, ensuring that policies can be enforced and systems function within established limits. By embedding security within the development framework, AI-enabled innovation can progress safely and effectively.
The subsequent table clarifies the distinctions between traditional Application Security and AI Security, illustrating how strong AppSec can manage both standard software risks and those arising from AI-driven development.
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AI Security
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Vulnerable code
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Model tampering
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Open source vulnerabilities
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Data and prompt assaults
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Misconfigurations
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Autonomous selections
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In the absence of robust AppSec controls, AI systems can rapidly introduce security defects. A deficiency in thorough code scanning and well-enforced policies enables these errors to thrive, potentially escalating into major security incidents. Mature AppSec delivers the essential insight and governance required to employ AI safely and effectively reduce risks.
AI is redefining software production, and organizations need to evolve their security strategies to keep up. Mature AppSec and AI-centered practices ensure that enhanced speed does not compromise security. By incorporating controls and visibility into the development workflow, AI can serve as an asset instead of a liability.
AI is reshaping software development, providing unmatched speed and effectiveness. Nonetheless, without mature AppSec practices, this acceleration can lead to heightened security threats. By emphasizing control, governance, and visibility, organizations can leverage AI’s capabilities while managing associated risks.
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JBL Live Free NC+ – True in-Ear Noise Cancelling Bluetooth Headphones with Active Noise Cancelling, Microphone, Up to 21H Battery, Wireless Charging (White), Small
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The development of enterprise technology in the last decade has resulted in data being split into two primary operational categories: the conventional request-response paradigm of APIs and the more agile, real-time flow of event streams. This separation presents considerable hurdles for businesses, particularly in the rising ‘agentic era’ of artificial intelligence, where AI agents demand ongoing, contextual data for making prompt, informed choices.
Kong and Solace have unveiled a partnership aimed at resolving the unification challenge on an architectural level. This collaboration aspires to provide a fully observable and governed data fabric, which is crucial for expanding modern AI systems. The alliance directly addresses the technical liabilities generated by fragmented data interactions within large enterprises.
This partnership enables organizations to implement uniform lifecycles, security measures, and access controls throughout their complete data pathway. Whether managing REST API requests, event streams, Large Language Model (LLM) engagements, or MCP server communications, all is orchestrated from a single centralized platform. This integration offers a degree of control that is not possible when these services function independently.
Solace specializes in real-time data movement and event regulation, while Kong supplies centralized API oversight and security measures. Together, they facilitate seamless integration across all data interactions, from REST APIs to streaming events to AI agent communications.
As real-time data and AI-enhanced connectivity converge, firms are reevaluating their architectures. The collaboration between Kong and Solace establishes them as the essential infrastructure for the next wave of intelligent, real-time business applications. Their unified platform guarantees thorough coverage by merging distinct interactions into one fully visible and manageable framework.
The alliance between Kong and Solace signifies a notable advancement in tackling data fragmentation issues in the enterprise technology sphere. By integrating API and event stream operations, this collaboration provides a solid, centralized platform vital for the era of agentic AI. This partnership not only strengthens security and governance but also speeds up innovation, empowering organizations to confidently scale their real-time, AI-ready platforms.
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Pokémon GO is ready to engage Trainers once more with its worldwide event focused on the Kalos region, known from Pokémon X and Y. Occurring on February 28 and March 1, this event is free for all players globally, fostering community involvement and participation.
This year’s occasion promises distinctive adventures, themed gameplay, and unique Pokémon encounters. Trainers can anticipate the chance to encounter Shiny Pikachu and Kalos-themed Pokémon such as Chespin, Fennekin, and Froakie. Notably, Honedge, Hawlucha, Klefki, and Diancie will debut in their Shiny forms. Engage in one-star raids or hatch 10km eggs for the opportunity to catch these special Pokémon.
For players looking for an enriched experience, an optional event ticket can be found in the in-game shop and the Pokémon GO Web Store. This ticket provides extra bonuses, presenting more challenges and rewards throughout the weekend.
Sydney participants can partake in an exclusive in-person event at Westfield Parramatta. Situated on Level 2, this pop-up gathering combines digital and physical experiences.
Ensure your attendance by acquiring a free ticket through the event website. Ticket availability is limited, so early registration is advised.
The Pokémon GO Tour: Kalos – Global event is set to unite Trainers for a weekend full of adventure and community spirit. With virtual and physical elements, players globally can delve into the Pokémon universe, whether from home or at Westfield Parramatta in Sydney.
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Telstra has embedded AI as a critical component of its strategy, focusing on boosting cost-efficiency and productivity. The technology is widely utilized with 380 identified use cases, impacting areas such as testing, quality assurance, and customer transition processes.
Chief Financial Officer Michael Ackland emphasized the necessity of preventing operating costs from diminishing expected returns. Telstra prioritizes the optimization of software licenses, cloud costs, and payments to AI providers.
AI has led to a 20% rise in software development productivity via GitHub Copilot. This improvement has empowered Telstra to lessen code maintenance expenses and accelerate product launches, including self-service virtual support solutions.
As a facet of its Connected Future 30 initiative, Telstra has equipped 75% of its workforce with AI tools, and almost 9000 staff members have participated in AI training programs. This strategy also involves a partnership with Accenture to reduce complexity in systems and phase out outdated platforms.
Telstra intends to outsource 209 positions to India as part of its collaboration with Accenture. CEO Vicki Brady assures that these challenging decisions are designed to provide quicker advantages to both customers and the enterprise.
Telstra reported a 14% growth in cash EBIT and a 10% rise in net profit after taxes for the first half of 2026. The mobile sector led with an EBITDA growth of $93 million, alongside substantial growth in the fixed consumer and small business segments.
Telstra is tackling business complexity through collaborations with Infosys and Accenture, aiming to streamline enterprise operations and expedite its data and AI development plans.
Telstra’s focus on AI is aimed at achieving a balance between cost efficiency and operational advantages, ensuring sustainable value. While financial outcomes have been favorable, the company remains cautious about rising costs and is dedicated to utilizing technology and partnerships to improve customer experiences and business results.
