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Top 10 Artificial Intelligence Stories of 2023

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Top 10 artificial intelligence stories of 2023

Arguably the biggest thing to happen in Artificial Intelligence (AI) this year has been the hype surrounding Generative AI (GenAI) models such as ChatGPT. This has pushed AI to the forefront of business conversations and the tech sector has been quick to capitalise on the opportunity. Hardware providers and software firms have all been busy building AI capabilities into their product families.

On the hardware side, this has meant more focus on AI acceleration hardware, where graphics processing units are added to servers to power machine learning and AI inference workloads. Such capabilities are needed for those organisations who want to run AI software in private clouds or on-premise rather than use the GPUs available as infrastructure as a service (IaaS) in the public cloud. 

From an IT strategy perspective, among the first areas CIOs have been urged to look at is how AI can be deployed to automate and make IT operations more efficient.

According to analyst Gartner, generative AI will enable the democratisation of knowledge and skills by enabling the use of conversation and natural language. A Gartner poll of 1,400 executive leaders in September 2023 found that 55% of organisations are in piloting or production mode with GenAI. Jeffrey Hewitt, vice-president analyst at Gartner, said: “Generative AI products are democratising due to the confluence of cloud and open source.”

Tools such as ChatGPT have also been shown to produce and check code. Use of generative AI in software development and IT operations is likely to accelerate in 2024 as IT departments battle to keep on top of the backlog of work they are being asked to do.

“Democratised generative AI offers a new working paradigm and can present agility, adaptability and composability improvements for IT and operations,” said Hewitt. “If it is overused or used unnecessarily, it can generate unacceptable costs and negative environmental impacts.”

Beyond its use in IT processes, AI is being embedded in business software.

Microsoft’s roll-out of AI-powered Copilots for office productivity has given businesses a chance to start using AI to improve productivity. In Microsoft Teams, for instance, the AI is able to summarise meetings and suggest action points. In Excel, Microsoft has used AI to try to make it easier for people to analyse data. PowerPoint’s Copilot aims to speed up creating draft presentations and summaries. Similarly, in Word, the AI can be used to draft documents.

Microsoft is not alone. Google’s rival office productivity suite, Google Workspace, has also incorporated generative AI features. SAP is incorporating generative AI capabilities into software development and the Hana database, while Oracle has recently added AI capabilities for data management and business intelligence, and Salesforce has introduced its AI copilot Einstein 1.

Other enterprise software providers are busy adding generative AI capabilities to business software. This is likely to pan out in 2024, as AI enhanced business software is increasingly used as an approach to improve efficiency and productivity.

Here are Computer Weekly’s top 10 artificial intelligence stories of 2023.

Artificial Intelligence 1. Conversational AI vs. generative AI: What’s the difference?

As AI continues to evolve, understanding the differences and collaborative potential of conversational AI and generative AI is vital to their role in shaping the digital landscape.

Artificial Intelligence 2. Gartner Symposium: More about AI

The keynote presentation on the second day of the Gartner Symposium in Barcelona examined whether artificial intelligence should be more intelligent than humans. Guest keynote speaker Erik Brynjolfsson, senior fellow at Stanford Institute for human-centred artificial intelligence, predicted that next year, businesses will shift from experimenting with AI to implementing AI projects that start delivering business value.

Artificial Intelligence 3. The AI developer opportunity

Research has shown that AI has the potential to plug the skills gap in software development. Providers of robotic process automation (RPA) tools also see a huge opportunity in the use of AI-based code generation for speeding up RPA.

Artificial Intelligence 4. Chip sector gears up for AI revolution

Recognising the change in buying strategy among the hyperscalers and in anticipation of a shift to artificial intelligence (AI) workload optimisation among enterprise customers, semiconductor manufacturers are beginning to ramp up their AI portfolios.

Artificial Intelligence 5. Where is our National AI strategy heading?

The recent House of Lords Communications Committee expert witness session revealed a somewhat bizarre situation in government relating to our National AI strategy.

Artificial Intelligence 6. How generative AI and cloud complement each other

McKinsey partner explains the symbiotic relationship between generative AI and cloud, enabling organisations to speed up cloud migration and harness the benefits of AI.

Artificial Intelligence 7. SAP lays out generative AI strategy

SAP is incorporating generative AI capabilities into software development and the Hana database, prioritising data privacy and use cases that drive efficiency and cost savings for customers.

Artificial Intelligence 8. IT not ready for AI, Pure Storage survey finds

Storage, compute and networking hardware won’t cope without upgrades, and that often means total IT infrastructure overhaul.

Artificial Intelligence 9. Microsoft ignites chip journey with AI accelerators

The company used its annual Ignite conference to showcase the work it is doing to optimise AI and make more energy-efficient hardware.

Artificial Intelligence 10. Few organisations have a clear strategy for AI

Few organisations are confident with the main concepts involved in developing AI-enabled business models.

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Artificial Intelligence

Two AIs Get Chatty: A Big Leap at UNIGE

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Chatting AIs: How It All Started

Scientists at the University of Geneva (UNIGE) have done something super cool. They’ve made an AI that can learn stuff just by hearing it and then can pass on what it’s learned to another AI. It’s like teaching your friend how to do something just by talking to them. This is a big deal because it’s kind of like how we, humans, learn and share stuff with each other, but now machines are doing it too!

Two AIs Get Chatty By Taking Cues from Our Brains

This whole idea came from looking at how our brains work. Our brains have these things called neurons that talk to each other with electrical signals, and that’s how we learn and remember things. The UNIGE team made something similar for computers, called artificial neural networks. These networks help computers understand and use human language, which is pretty awesome.

How Do AIs Talk to Each Other?

For a long time, getting computers to learn new things just from words and then teach those things to other computers was super hard. It’s easy for us humans to learn something new, figure it out, and then explain it to someone else. But for computers? Not so much. That’s why what the UNIGE team did is such a big step forward. They’ve made it possible for one AI to learn a task and then explain it to another AI, all through chatting.

two ais get chatty cool

Learning Like Us

The secret here is called Natural Language Processing (NLP). NLP is all about helping computers understand human talk or text. This is what lets AIs get what we’re saying and then do something with that info. The UNIGE team used NLP to teach their AI how to understand instructions and then act on them. But the real magic is that after learning something new, this AI can turn around and teach it to another AI, just like how you might teach your friend a new trick.

Breaking New Ground in AI Learning

The UNIGE team didn’t just stop at making an AI that learns from chatting. They took it a step further. After one AI learns a task, it can explain how to do that task to another AI. Imagine you figured out how to solve a puzzle and then told your friend how to do it too. That’s what these AIs are doing, but until now, this was super hard to achieve with machines.

From Learning to Teaching

The team started with a really smart AI that already knew a lot about language. They hooked it up to a simpler AI, kind of like giving it a buddy to chat with. First, they taught the AI to understand language, like training it to know what we mean when we talk. Then, they moved on to getting the AI to do stuff based on what it learned from words alone. But here’s the kicker: after learning something new, this AI could explain it to its buddy AI in a way that the second one could get it and do the task too.

A Simple Task, A Complex Achievement

The tasks themselves might seem simple, like identifying which side a light was flashing on. But it’s not just about the task; it’s about understanding and teaching it, which is huge for AI. This was the first time two AIs communicated purely through language to share knowledge. It’s like if one robot could teach another robot how to dance just by talking about it. Pretty amazing, right?

Why This Matters

This is a big deal for the future. It’s not just about AIs chatting for fun; it’s about what this means for robots and technology down the line. Imagine robots that can learn tasks just by listening to us and then teach other robots how to do those tasks. It could change how we use robots in homes, hospitals, or even in space. Instead of programming every single step, we could just tell them what we need, and they’d figure it out and help each other out too. It’s like having a team of robots that learn from each other and us, making them way more useful and flexible.

The UNIGE team is already thinking about what’s next. Their AI network is still pretty small, but they believe they can make it bigger and better. We’re talking about robots that not only understand and learn from us but also from each other. This could lead to robots that are more like partners, helping solve problems, invent new things, and maybe even explore the universe with us.

What’s the Future?

This adventure isn’t just about what’s happening now. It’s about opening the door to a future where robots really get us, and each other. The UNIGE team’s work is super exciting for anyone who’s into robots. It’s all about making it possible for machines to have chats with each other, which is a big deal for making smarter, more helpful robots.

The brains behind this project say they’ve just started. They’ve got a small network of AI brains talking, but they’re dreaming big. They’re thinking about making even bigger and smarter networks. Imagine humanoid robots that don’t just understand what you’re telling them but can also share secrets with each other in their own robot language. The researchers are pretty stoked because there’s nothing stopping them from turning this dream into reality.

So, we’re looking at a future where robots could be our buddies, understanding not just what we say but also how we say it. They could help out more around the house, be there for us when we need someone to talk to, or even work alongside us, learning new things and teaching each other without us having to spell it all out. It’s like having a robot friend who’s always there to learn, help, and maybe even make us laugh.

Wrap up

What started as a project at UNIGE could end up changing how we all live, work, and explore. It’s a glimpse into a future where AIs and robots are more than just tools; they’re part of our team, learning and growing with us. Who knows what amazing things they’ll teach us in return?

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ChatGPT

ChatGPT vs Gemini vs Copilot

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Introduction

When it comes to writing, researching, or coding there’s no shortage of online tools promising to make your life easier. ChatGPT by OpenAI, Google’s Gemini and Microsoft’s Copilot are among the top picks, each with something different to offer. Whether you’re drafting articles, looking for detailed answers, or needing a hand with code, one of these tools could be what you need. Let’s break down what each tool is about, their strengths, where they might not hit the mark and who’ll find them most useful.

What These Tools Are All About?

All three tools are essentially here to help you create text, but they each have their own way of doing things.

ChatGPT: The Creative Tool

If you’re after a variety of writing styles or need something more on the creative side, ChatGPT is quite versatile. It’s great for when you want to put together anything from a poem to a business email and everything in between.

Google Gemini: The Fact Finder

Gemini is your go to for getting straight to the point with clear, informative answers. It’s especially handy if you need to dig deep into a topic, whether for school, work, or just satisfying your curiosity.

Microsoft Copilot: The Coder’s Friend

For those who speak in code Copilot, which is largely based on ChatGPT architecture, could be very useful. It integrates right into your coding environment, offering suggestions and completing lines of code to help move your projects along faster.

chatgptgeminicopilot 1

Their Strong Points and Shortfalls

While all three tools have their own perks, they each come with limitations.

ChatGPT might be a whiz at generating diverse types of content, but take its facts with a grain of salt and be ready to do a bit of editing for coherence in longer pieces.

Gemini excels in pulling together accurate, detailed answers, but don’t expect it to venture far into the realms of creative writing without a bit of coaxing.

Copilot shines by making coding less of a headache, but remember, it’s all about code  don’t ask it to write your next blog post.

Finding Your Match

Depending on what you’re looking for, a burst of creativity, a deep dive into facts, or a coding assistant, one of these tools could be the help you didn’t know you needed. They each have their free versions to try out, so you can take them for a spin and see which one fits your workflow best. Each of the tools has been developed with a certain user in mind, making the choice between them a matter of matching their strengths to your specific needs.

ChatGPT: Ideal for writers, marketers, and anyone in need of a creative boost. If your day involves crafting narratives, brainstorming ideas, or composing various forms of written content, ChatGPT’s flexibility and creative prowess make it a valuable ally. Its ability to adapt to different writing styles and generate engaging content on a wide array of topics can help unlock new creative possibilities.

Google Gemini: A real bonus for students, researchers and professionals seeking detailed, reliable information. Gemini’s strength lies in its ability to parse complex queries and deliver comprehensive, factual responses. This makes it an excellent partner for academic research, professional inquiries, and any situation where accuracy is paramount. While it may not be the first choice for purely creative tasks, its capacity for generating informative content is unmatched.

Microsoft Copilot: The goto for developers and programmers looking for an edge in their coding projects. Copilot integrates seamlessly with your development environment, providing real time suggestions and code completions based on your style and project requirements. It’s like having a knowledgeable coding partner by your side, ready to assist with everything from debugging to writing new functions. While its focus is strictly on coding, its impact on productivity and efficiency can be profound.

Advanced Features and Integration

Delving deeper into what these tools offer, it’s clear that their potential extends beyond simple text generation. Each platform provides a set of advanced features and integrations that can further enhance your workflow:

ChatGPT offers plugins and API access, allowing for integration with other software and services. This expands its utility, enabling automated content generation for social media, email marketing campaigns, and even website content management.

Google Gemini stands out with its seamless integration with other Google services. This connectivity can enhance research capabilities, enabling users to easily compile data from various sources, including academic papers and credible websites.

Microsoft Copilot excels in its compatibility with a range of programming languages and development tools. Its suggestions are not just based on general best practices but are tailored to the specifics of your project, making it a versatile tool for software development across different platforms.

Making an Informed Decision

Choosing between ChatGPT, Gemini, and Copilot boils down to understanding your main requirements and how each tool’s features align with your goals. Consider the following when making your decision:

Creativity vs Accuracy: If your priority is creativity and versatility in content creation, ChatGPT might be your best bet. On the other hand, if accuracy and depth of information are what you’re after, Gemini could be the way to go.

Development Needs: For those in the software development field, Copilot’s specialised assistance could prove invaluable, offering insights and suggestions that streamline the coding process.

Integration and Scalability: Think about how these tools can integrate into your existing workflow. The right choice should not only fulfil your immediate needs but also have the potential to scale and evolve with your projects.

So while ChatGPT, Gemini, and Copilot each offer unique advantages, the key to maximising their potential lies in matching their capabilities with your specific needs. Whether you’re crafting content, seeking knowledge, or coding the next big app, there’s a tool here designed to assist you.

Understanding Costs and Accessibility

When it comes to choosing between ChatGPT, Gemini, and Copilot, another critical factor to consider is cost. Each tool offers different pricing structures and access levels, which could significantly influence your decision based on budget constraints and usage needs.

ChatGPT: Offers both free and premium versions. The free version is a great starting point for casual users or those just looking to experiment. For heavy users or businesses requiring more robust features, OpenAI provides a subscription model that offers extended limits and additional functionalities. This flexible approach ensures that whether you’re dabbling in content creation or relying on ChatGPT for daily tasks, there’s an option that fits.

Google Gemini: Currently available through limited access or beta programs, Gemini’s pricing details are yet to be fully disclosed. Google has hinted at a model that could combine free limited access with a premium tier for advanced features and higher usage limits. This strategy might appeal to users who value in depth research and comprehensive data analysis but are willing to wait for broader availability.

Microsoft Copilot: Specifically tailored for developers, Copilot is accessible as part of a subscription service. This model provides seamless integration with Microsoft’s suite of development tools, making it a convenient option for professional developers or teams already invested in the Microsoft ecosystem. While there’s a cost associated, the time saved and productivity gained could justify the investment for those heavily involved in coding.

Which Prompt for Which Tool?

When using AI models like ChatGPT, Gemini, and Copilot, the way you frame your prompts can significantly influence the quality and relevance of the responses you receive. Here’s a comparison of the types of prompts that tend to work best for each, along with specific examples:

ChatGPT

Type of Prompts: Creative, exploratory, and open-ended. ChatGPT excels with prompts that allow for creativity and exploration, such as generating stories, brainstorming ideas, or providing explanations in layman’s terms.

Example Prompt: “Write a short story about a detective solving a mystery in a futuristic city. Include a twist at the end.”

Gemini

Type of Prompts: Factual, detailed, and information-seeking. Gemini is designed to provide accurate and comprehensive answers, making it ideal for prompts that require deep dives into specific topics or detailed explanations.

Example Prompt: “Explain the process of photosynthesis in detail, including the light-dependent and light-independent reactions.”

Copilot

Type of Prompts: Code specific, problem solving, and direct. Copilot is tailored to assist with coding tasks, so prompts should be specific to coding challenges, including language preferences, function descriptions, or bug fixes.

Example Prompt: “Help me write a Python function that takes a list of numbers as input and returns a list of those numbers squared.”

So to Conclude ..

ChatGPT prompts should be imaginative or require synthesis of ideas and information in a way that doesn’t strictly adhere to being factually accurate but rather interesting or engaging. It’s also effective for role-play scenarios or generating content in various formats (e.g., emails, essays, dialogue).

Gemini prompts benefit from specificity and a clear goal for information retrieval. It’s especially powerful when the information sought is well defined or when the answer requires integrating knowledge across different domains.

Copilot prompts need to be as specific as possible regarding the coding task at hand. Including details about the programming language, the desired outcome and any relevant constraints (e.g., performance considerations) can help Copilot generate more useful code snippets or solutions.

In summary, crafting your prompt to fit the strengths and intended use case of each AI tool whether it’s for creative writing, factual information, or coding assistance can significantly enhance the effectiveness of the interactions.

The Future of AI Assisted Work

As we look to the future, it’s clear that tools like ChatGPT, Gemini, and Copilot are just the beginning. The landscape of AI assisted work is going for significant growth, with advancements aimed at making these tools even more intuitive, accurate and versatile. Here’s what we can expect:

Enhanced Personalisation: Future iterations will likely offer even more tailored experiences, learning from user interactions to better align with individual writing styles, coding habits, or research needs.

Broader Integration: As the digital workspace becomes increasingly interconnected, expect to see deeper integrations between these AI tools and other software, streamlining workflows and reducing the need to switch between platforms.

Greater Accessibility: Efforts to make these tools more accessible to a wider audience, including improvements in user interfaces and the introduction of more affordable pricing models, will continue to democratise access to AI powered assistance.

Ethical and Responsible Use: With great power comes great responsibility. As these tools evolve, so too will the frameworks guiding their ethical use, ensuring that advancements in AI work to enhance human creativity and productivity without compromising privacy or security.

Conclusion

Whether you’re a writer, a student, or a developer, the choice between ChatGPT, Gemini, and Copilot boils down to understanding your specific needs and how each tool can meet them at the time of your requirement. By considering their core functionalities, strengths and weaknesses, as well as their costs and accessibility, you can select the AI assistant that best supports your ambitions.

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Artificial Intelligence

Lets Govern AI Rather Than Let It Govern Us

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A pivotal moment has unfolded at the United Nations General Assembly. For the first time, a resolution was adopted focused on ensuring Artificial Intelligence (AI) systems are “safe, secure and trustworthy”, marking a significant step towards integrating AI with sustainable development globally. This initiative, led by the United States and supported by an impressive cohort of over 120 other Member States, underscores a collective commitment to navigating the AI landscape with the utmost respect for human rights.

But why does this matter to us, the everyday folks? AI isn’t just about robots from sci-fi movies anymore; it’s here, deeply embedded in our daily lives. From the recommendations on what to watch next on Netflix to the virtual assistant in your smartphone, AI’s influence is undeniable. Yet, as much as it simplifies tasks, the rapid evolution of AI also brings forth a myriad of concerns – privacy issues, ethical dilemmas and the very fabric of our job market being reshaped.

The Unanimous Call for Responsible AI Governance

The resolution highlights a crucial understanding: the rights we hold dear offline must also be protected in the digital realm, throughout the lifecycle of AI systems. It’s a call to action for not just countries but companies, civil societies, researchers, and media outlets to develop and support governance frameworks that ensure the safe and trustworthy use of AI. It acknowledges the varying levels of technological development across the globe and stresses the importance of supporting developing countries to close the digital divide and bolster digital literacy.

The United States Ambassador to the UN, Linda Thomas-Greenfield, shed light on the inclusive dialogue that led to this resolution. It’s seen as a blueprint for future discussions on the challenges AI poses, be it in maintaining peace, security, or responsible military use. This resolution isn’t about stifling innovation; rather, it’s about ensuring that as we advance, we do so with humanity, dignity, and a steadfast commitment to human rights at the forefront.

This unprecedented move by the UN General Assembly is not just a diplomatic achievement; it’s a global acknowledgment that while AI has the potential to transform our world for the better, its governance cannot be taken lightly. The resolution, co-sponsored by countries including China, represents a united front in the face of AI’s rapid advancement and its profound implications.

Bridging the Global Digital Divide

As we stand at this crossroads, the message is clear: the journey of AI is one we must steer with care, ensuring it aligns with our shared values and aspirations. The resolution champions a future where AI serves as a force for good, propelling us towards the Sustainable Development Goals, from eradicating poverty to ensuring quality education for all.

aiunitednations

The emphasis on cooperation, especially in aiding developing nations to harness AI, underscores a vision of a world where technological advancement doesn’t widen the gap between nations but brings us closer to achieving global equity. It’s a reminder that in the age of AI, our collective wisdom, empathy, and collaboration are our most valuable assets.

Ambassador Thomas-Greenfield’s remarks resonate with a fundamental truth: the fabric of our future is being woven with threads of artificial intelligence. It’s imperative that we, the global community, hold the loom. The adoption of this resolution is not the end, but a beginning—a stepping stone towards a comprehensive framework where AI enriches lives without compromising our moral compass.

At the heart of this resolution is the conviction that AI, though devoid of consciousness, must operate within the boundaries of our collective human conscience. The call for AI systems that respect human rights isn’t just regulatory rhetoric; it’s an appeal for empathy in algorithms, a plea to encode our digital evolution with the essence of what it means to be human.

This brings to light a pertinent question: How do we ensure that AI’s trajectory remains aligned with human welfare? The resolution’s advocacy for cooperation among nations, especially in supporting developing countries, is pivotal. It acknowledges that the AI divide is not just a matter of technological access but also of ensuring that all nations have a voice in shaping AI’s ethical landscape. By fostering an environment where technology serves humanity universally, we inch closer to a world where AI’s potential is not a privilege but a shared global heritage.

Furthermore, the resolution’s emphasis on bridging the digital divide is a clarion call for inclusivity in the digital age. It’s a recognition that the future we craft with AI should be accessible to all, echoing through classrooms in remote villages and boardrooms in bustling cities alike. The initiative to equip developing nations with AI tools and knowledge is not just an act of technological philanthropy; it’s an investment in a collective future where progress is measured not by the advancements we achieve but by the lives we uplift.

Uniting for a Future Shaped by Human Values

The global consensus on this resolution, with nations like the United States and China leading the charge, signals a watershed moment in international diplomacy. It showcases a rare unity in the quest to harness AI’s potential responsibly, amidst a world often divided by digital disparities. The resolution’s journey, from conception to unanimous adoption, reflects a world waking up to the reality that in the age of AI, our greatest strength lies in our unity.

As we stand at the dawn of this new era, the resolution serves as both a compass and a beacon; a guide to navigate the uncharted waters of AI governance and a light illuminating the path to a future where technology and humanity converge in harmony. The unanimous adoption of this resolution is not just a victory for diplomacy; it’s a promise of hope, a pledge that in the symphony of our future, technology will amplify, not overshadow, the human spirit.

In conclusion, “Let’s Govern AI Rather Than Let It Govern Us” is more than a motto; it’s a mandate for the modern world. It’s a call to action for every one of us to participate in shaping a future where AI tools are wielded with wisdom, wielded to weave a tapestry of progress that reflects our highest aspirations and deepest values.

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