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GPT As Today’s Influencer

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GPT As Today’s Influencer

In today’s information age, the landscape of influence is undergoing a significant transformation.

The emergence of AI technologies like GPT has blurred the line between human and synthetic information, challenging our traditional understanding of authority and expertise. While AI can provide accurate information, it also has the potential to spread disinformation, posing both opportunities and challenges. The Internet has become a powerful tool for validating expertise, allowing individuals to educate themselves and make informed decisions. Trust is now established through network-endorsed sources and aggregated experiences within digital communities. In this evolving digital era, Large Language Models like GPT-4 can serve as “Digital Sherpas,” guiding us through the complex digital realm by processing massive amounts of information and providing contextually appropriate responses. As technology redefines authority, it is crucial to develop digital literacy, maintain open dialogues with experts, and cultivate critical thinking skills to navigate the evolving landscape of influence.

The landscape of information dissemination and consumption is transforming at an unprecedented pace. The era of relying solely on a singular, human source of expertise is evolving into an intricate interplay between human interaction and digital information. With the advent of AI, LLMs, social media and a constantly expanding Internet, a new paradigm of influence and authority is emerging, altering our traditional understanding of authority and expertise.

Human vs. AI: The Inception of Synthetic Information

In the past, obtaining information was mainly confined to interactions with human experts like physicians or mechanics, whose authority was conferred through years of rigorous training and experience. However, the rise of AI technologies, such as GPT, is blurring these lines, producing information that is often indistinguishable from that created by human experts.

Recent research has indicated that individuals are unable to distinguish between ‘synthetic’ tweets generated by GPT-3 and those authored by real Twitter users, posing both opportunities and challenges. While AI can disseminate accurate and comprehensible information, the danger lies in its equally compelling ability to spread disinformation, further complicated by the fact that humans are less adept at detecting false information from AI than from human sources.

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The Internet as a Validator

While the notion of AI-generated content might seem unnerving, the Internet’s capacity to provide rapid access to a plethora of information has reshaped how we validate expertise and knowledge. No longer are we solely dependent on the authority of a single individual, such as a physician, accountant or auto mechanic. Instead, the Internet provides a powerful tool for self-education and research, empowering individuals to form their own informed decisions and opinions.

study has shown that patients who searched for information online prior to their medical consultations felt more comfortable with their physician’s advice. Their Internet research provided them with a sense of confidence and facilitated a more meaningful conversation with their healthcare providers. However, it is crucial to consider that the flip side of this validation can manifest as an overwhelming amount of information, often of dubious quality and credibility.

The Network Effect: Redefining Trust

The network itself plays a critical role in this new landscape. It serves not just as an information repository but also as a means to establish trust. The reliance on user-generated content, reviews, and ratings is indicative of the digital society’s shift from traditional authority figures towards network-endorsed sources. Trust is now built upon aggregated experiences and shared knowledge within digital communities.

The Digital Sherpa—The New Influencer

The deluge of digital information we face today calls for a new kind of guide — a Digital Sherpa, a beacon in the labyrinth of vast, often confusing, digital landscapes. Much like their namesake in the challenging terrains of the Himalayas, Digital Sherpas are the experts adept at navigating the treacherous terrain of digital information. Their knowledge of information quality, source credibility, and digital literacy equip them with the unique ability to guide users through the complexities of the digital realm. In this light, Large Language Models (LLMs) like GPT-4 might well serve as these Digital Sherpas. Their capability to process and analyze massive quantities of information and to provide concise, contextually appropriate responses has the potential to revolutionize how we explore, interpret, and utilize the digital sphere. In this ever-evolving digital era, LLMs could play a pivotal role in guiding us to the summit of understanding amidst an avalanche of information.

Technology is not simply winning over traditional modes of authority, it is redefining it. In the modern age, influence is a dynamic, fluid concept, constantly shaped and reshaped by the evolving synergies between human interaction, AI, and digital networks. As we navigate this transition, it is paramount that we equip ourselves with the digital literacy to discern quality information, maintain open dialogues with experts, and cultivate critical thinking skills.

The digital era is reshaping the concepts of authority and trust. The ability to influence is no longer confined to traditional authority figures but has been democratized by the Internet, AI, and digital networks. As we continue to move towards an increasingly interconnected world, the ability to discern, interpret, and use information wisely will become an increasingly important skill for every individual.

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Next-gen chips, Amazon Q, and speedy S3

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AWS re:Invent, which has been taking place from November 27 and runs to December 1, has had its usual plethora of announcements: a total of 21 at time of print.

Perhaps not surprisingly, given the huge potential impact of generative AI – ChatGPT officially turns one year old today – a lot of focus has been on the AI side for AWS’ announcements, including a major partnership inked with NVIDIA across infrastructure, software, and services.

Yet there has been plenty more announced at the Las Vegas jamboree besides. Here, CloudTech rounds up the best of the rest:

Next-generation chips

This was the other major AI-focused announcement at re:Invent: the launch of two new chips, AWS Graviton4 and AWS Trainium2, for training and running AI and machine learning (ML) models, among other customer workloads. Graviton4 shapes up against its predecessor with 30% better compute performance, 50% more cores and 75% more memory bandwidth, while Trainium2 delivers up to four times faster training than before and will be able to be deployed in EC2 UltraClusters of up to 100,000 chips.

The EC2 UltraClusters are designed to ‘deliver the highest performance, most energy efficient AI model training infrastructure in the cloud’, as AWS puts it. With it, customers will be able to train large language models in ‘a fraction of the time’, as well as double energy efficiency.

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As ever, AWS offers customers who are already utilising these tools. Databricks, Epic and SAP are among the companies cited as using the new AWS-designed chips.

Zero-ETL integrations

AWS announced new Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon Relational Database Services (Amazon RDS) for MySQL integrations with Amazon Redshift, AWS’ cloud data warehouse. The zero-ETL integrations – eliminating the need to build ETL (extract, transform, load) data pipelines – make it easier to connect and analyse transactional data across various relational and non-relational databases in Amazon Redshift.

A simple example of how zero-ETL functions can be seen is in a hypothetical company which stores transactional data – time of transaction, items bought, where the transaction occurred – in a relational database, but use another analytics tool to analyse data in a non-relational database. To connect it all up, companies would previously have to construct ETL data pipelines which are a time and money sink.

The latest integrations “build on AWS’s zero-ETL foundation… so customers can quickly and easily connect all of their data, no matter where it lives,” the company said.

Amazon S3 Express One Zone

AWS announced the general availability of Amazon S3 Express One Zone, a new storage class purpose-built for customers’ most frequently-accessed data. Data access speed is up to 10 times faster and request costs up to 50% lower than standard S3. Companies can also opt to collocate their Amazon S3 Express One Zone data in the same availability zone as their compute resources.  

Companies and partners who are using Amazon S3 Express One Zone include ChaosSearch, Cloudera, and Pinterest.

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Amazon Q

A new product, and an interesting pivot, again with generative AI at its core. Amazon Q was announced as a ‘new type of generative AI-powered assistant’ which can be tailored to a customer’s business. “Customers can get fast, relevant answers to pressing questions, generate content, and take actions – all informed by a customer’s information repositories, code, and enterprise systems,” AWS added. The service also can assist companies building on AWS, as well as companies using AWS applications for business intelligence, contact centres, and supply chain management.

Customers cited as early adopters include Accenture, BMW and Wunderkind.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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HCLTech and Cisco create collaborative hybrid workplaces

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Digital comms specialist Cisco and global tech firm HCLTech have teamed up to launch Meeting-Rooms-as-a-Service (MRaaS).

Available on a subscription model, this solution modernises legacy meeting rooms and enables users to join meetings from any meeting solution provider using Webex devices.

The MRaaS solution helps enterprises simplify the design, implementation and maintenance of integrated meeting rooms, enabling seamless collaboration for their globally distributed hybrid workforces.

Rakshit Ghura, senior VP and Global head of digital workplace services, HCLTech, said: “MRaaS combines our consulting and managed services expertise with Cisco’s proficiency in Webex devices to change the way employees conceptualise, organise and interact in a collaborative environment for a modern hybrid work model.

“The common vision of our partnership is to elevate the collaboration experience at work and drive productivity through modern meeting rooms.”

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Alexandra Zagury, VP of partner managed and as-a-Service Sales at Cisco, said: “Our partnership with HCLTech helps our clients transform their offices through cost-effective managed services that support the ongoing evolution of workspaces.

“As we reimagine the modern office, we are making it easier to support collaboration and productivity among workers, whether they are in the office or elsewhere.”

Cisco’s Webex collaboration devices harness the power of artificial intelligence to offer intuitive, seamless collaboration experiences, enabling meeting rooms with smart features such as meeting zones, intelligent people framing, optimised attendee audio and background noise removal, among others.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: Cisco, collaboration, HCLTech, Hybrid, meetings

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Canonical releases low-touch private cloud MicroCloud

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Canonical has announced the general availability of MicroCloud, a low-touch, open source cloud solution. MicroCloud is part of Canonical’s growing cloud infrastructure portfolio.

It is purpose-built for scalable clusters and edge deployments for all types of enterprises. It is designed with simplicity, security and automation in mind, minimising the time and effort to both deploy and maintain it. Conveniently, enterprise support for MicroCloud is offered as part of Canonical’s Ubuntu Pro subscription, with several support tiers available, and priced per node.

MicroClouds are optimised for repeatable and reliable remote deployments. A single command initiates the orchestration and clustering of various components with minimal involvement by the user, resulting in a fully functional cloud within minutes. This simplified deployment process significantly reduces the barrier to entry, putting a production-grade cloud at everyone’s fingertips.

Juan Manuel Ventura, head of architectures & technologies at Spindox, said: “Cloud computing is not only about technology, it’s the beating heart of any modern industrial transformation, driving agility and innovation. Our mission is to provide our customers with the most effective ways to innovate and bring value; having a complexity-free cloud infrastructure is one important piece of that puzzle. With MicroCloud, the focus shifts away from struggling with cloud operations to solving real business challenges” says

In addition to seamless deployment, MicroCloud prioritises security and ease of maintenance. All MicroCloud components are built with strict confinement for increased security, with over-the-air transactional updates that preserve data and roll back on errors automatically. Upgrades to newer versions are handled automatically and without downtime, with the mechanisms to hold or schedule them as needed.

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With this approach, MicroCloud caters to both on-premise clouds but also edge deployments at remote locations, allowing organisations to use the same infrastructure primitives and services wherever they are needed. It is suitable for business-in-branch office locations or industrial use inside a factory, as well as distributed locations where the focus is on replicability and unattended operations.

Cedric Gegout, VP of product at Canonical, said: “As data becomes more distributed, the infrastructure has to follow. Cloud computing is now distributed, spanning across data centres, far and near edge computing appliances. MicroCloud is our answer to that.

“By packaging known infrastructure primitives in a portable and unattended way, we are delivering a simpler, more prescriptive cloud experience that makes zero-ops a reality for many Industries.“

MicroCloud’s lightweight architecture makes it usable on both commodity and high-end hardware, with several ways to further reduce its footprint depending on your workload needs. In addition to the standard Ubuntu Server or Desktop, MicroClouds can be run on Ubuntu Core – a lightweight OS optimised for the edge. With Ubuntu Core, MicroClouds are a perfect solution for far-edge locations with limited computing capabilities. Users can choose to run their workloads using Kubernetes or via system containers. System containers based on LXD behave similarly to traditional VMs but consume fewer resources while providing bare-metal performance.

Coupled with Canonical’s Ubuntu Pro + Support subscription, MicroCloud users can benefit from an enterprise-grade open source cloud solution that is fully supported and with better economics. An Ubuntu Pro subscription offers security maintenance for the broadest collection of open-source software available from a single vendor today. It covers over 30k packages with a consistent security maintenance commitment, and additional features such as kernel livepatch, systems management at scale, certified compliance and hardening profiles enabling easy adoption for enterprises. With per-node pricing and no hidden fees, customers can rest assured that their environment is secure and supported without the expensive price tag typically associated with cloud solutions.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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Tags: automation, Canonical, MicroCloud, private cloud

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