Tech
Will AI Take Away Human Jobs in the Future?

Tech
WhatsApp Rolls Out Exciting iOS Update: Now Usable as Default Call & Messaging App

New update release with WhatsApp for IOS users sparks excitement. The software application recently released a new update that enables WhatsApp on iPhone to select a default.
The new update now allows iPhone’s default app for calls and messaging. It also enables iPhone users to default apps for several functions depending on their preference.
The update permits users to tap on a number or contact to call or message them on WhatsApp instead of before with a normal call.
The new update also goes as far as allowing the users to customize a default across different categories such as calling, messaging, keyboard and password management. However for iPhone to truly access this new features it must be updated to iOS 18.2.
Tech
Bill Gates on AI’s Advancement: ‘It’s Happening Quickly and It’s a Little Scary’

American Billionaire and Microsoft co-founder, Bill Gates speaks on the advances of artificial intelligence. The entrepreneur shares his belief in artificial intelligence taking over humans jobs and tasks in the next decade.
In a recent interview on “The Tonight Show ” with Jimmy Fallon, Bill Gates addresses o how AI could take over many aspects of human life.
Gates stated that the advancement of AI can start from improved medicines and diagnoses to taking over the education field. “It’s very profound and even a little bit scary, because it’s happening very quickly, and there is no upper bound.”
Tech
Amazon Introduces Ocelot Chip to Solve Problems in Quantum Computing

Amazon Web Services (AWS) has unveiled its inaugural quantum computing chip, named Ocelot, marking a significant stride in the rapidly evolving field of quantum technology.
This prototype chip is designed to tackle one of quantum computing’s most formidable challenges: error correction. AWS asserts that Ocelot could reduce the costs associated with quantum error correction by up to 90%, potentially accelerating the development of practical, fault-tolerant quantum computers.
Quantum computers operate using qubits, which, unlike classical bits, can represent both 0 and 1 simultaneously—a property known as superposition.
However, qubits are highly sensitive to environmental disturbances such as heat, vibrations, and electromagnetic interference, leading to computational errors.
Traditional methods to correct these errors require a substantial number of additional qubits, making quantum systems complex and costly.
Ocelot addresses this issue by incorporating “cat qubits,” a specialized type of qubit inspired by Schrödinger’s cat thought experiment.
These cat qubits are engineered to inherently suppress certain types of errors, thereby reducing the need for extensive error correction mechanisms. This innovation simplifies the architecture of quantum computers and enhances their scalability.
Oskar Painter, AWS’s Head of Quantum Hardware, emphasized the importance of prioritizing error correction in quantum computing development. He stated, “We believe that if we’re going to make practical quantum computers, quantum error correction needs to come first. That’s what we’ve done with Ocelot.”
The Ocelot chip consists of two integrated silicon microchips, each measuring approximately one square centimeter.
These chips are layered together with a thin film of the superconductor tantalum, processed for faster oscillation, and currently run five functional cat qubits.
This development positions AWS alongside other tech giants making significant advancements in quantum computing.
Recently, Microsoft unveiled its Majorana 1 chip, and Google introduced its Willow chip, both highlighting progress in stability, scalability, and performance.
While Ocelot remains a research prototype, AWS plans to refine and scale the technology. The company acknowledges that achieving practical, fault-tolerant quantum computers capable of solving complex problems beyond the reach of classical systems may still be a decade or more away.
Nevertheless, Ocelot represents a crucial step toward that goal, potentially accelerating the timeline for practical quantum computing applications.
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