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The Best Guinness Adverts of All Time

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Guinness’s Most Memorable Adverts of All Time

01. Guinness Zoo (1930s)

Back in the 1930s, advertising was very formal, dry, and literal. Then came the ‘My Goodness, My Guinness’ campaign. Created by artist John Gilroy, this series of vibrant posters featuring animals from the ‘Guinness Zoo’ became a landmark in advertising history. No wonder that reproductions can still be seen in Irish pubs around the world to this day.

The campaign began in 1929 when Guinness transferred their account to S.H. Benson (later Ogilvy). Gilroy, a Royal College of Art graduate, collaborated with notable copywriters including Ronald Barton, Robert Bevan, and even the famed mystery novelist Dorothy L. Sayers. His most recognizable designs depicted various animals – toucans, kangaroos, ostriches, seals, and lions – stealing pints of Guinness from a hapless zookeeper, who was actually a caricature of Gilroy himself.

02. The Zookeeper (1955)

In 1955, Guinness made advertising history again by pioneering TV advertising in the UK. The Zookeeper was one of the very first ads to be aired on British television, making its debut during ITV’s opening night on 22 September 1955. The Zookeeper was played by Charlie Naughton, a member of the famous comedy performance group The Crazy Gang.

What made this ad significant was how it translated a print campaign into the new medium of television. It brought the famous poster of the performing sea lion to life, showcasing Guinness’s innovative approach to cross-media storytelling, decades before it became standard practice.

03. After Work: Shipyard (1966)

The 1960s marked a significant shift in Guinness’s advertising, exemplified by Shipyard. The ad features a man enjoying a well-deserved pint after completing his shift at a shipyard. It was a dramatic departure from the playful, fantastical world of the zoo animals, positioning the stout instead as the perfect reward after a hard day’s work.

This ad is especially notable as it’s one of the earliest examples of data-driven advertising. Guinness had begun analyzing consumer behavior patterns, discovering that many customers viewed it as a relaxing end-of-day drink. So rather than simply continuing with a successful creative formula, the brand adapted its advertising to reflect actual consumption habits – a remarkably modern approach for the time.

04. The Island (1977)

The Island, launched in 1977, represented Guinness’s most ambitious and technically complex advertisement to date. Created by AMV BBDO and directed by Nicolai Fugslig, this ad was part of a £10 million campaign that pushed the boundaries of what was possible in television advertising.

The 60-second commercial featured an extraordinary domino effect starting with 6,000 dominoes and escalating to include books, paint cans, tires, flaming hay bales, fridges, suitcases, and even cars. Shot in a remote Argentinian village using hundreds of local residents as extras, the ad was filmed with virtually no special effects. The production challenges were enormous, with Fugslig describing the combination of intricate choreography, high-altitude location, and management of hundreds of villagers as the biggest challenge of his career.

05. Tipping Point (2007)

Tipping Point, launched in 2007, represented Guinness’s most ambitious and technically complex advertisement to date. Created by AMV BBDO and directed by Nicolai Fugslig, this ad was part of a £10 million campaign that pushed the boundaries of what was possible in television advertising.

The 60-second commercial featured an extraordinary domino effect starting with 6,000 dominoes and escalating to include books, paint cans, tires, flaming hay bales, fridges, suitcases, and even cars. Shot in a remote Argentinian village using hundreds of local residents as extras, the ad was filmed with virtually no special effects.

06. Welcome Back (2021)

The Welcome Back campaign, created by AMV BBDO in May 2021, represented a perfectly timed emotional response to the reopening of venues after COVID-19 lockdowns. With the hashtag #LooksLikeGuinness, this campaign captured the public mood with remarkable sensitivity and creativity.

The ad was inspired by the feeling of missing something so much, you start seeing it everywhere. Consequently, the commercial showed a series of black and white objects that resembled a pint of Guinness (socks on a washing line, a white cat on a black compost bin, snow on garbage cans), all set to Jack Savoretti’s cover of Always on My Mind. In this way, it cleverly built anticipation before culminating in the real thing: friends reuniting over actual pints of Guinness in a pub.

07. Holding out for a ZERO (2023)

Guinness has survived for hundreds of years by continuing to innovate, and here’s another recent example. The brand has jumped enthusiastically on the trend for 0% drinks, which dovetails nicely with its original aim of being "good for you". And in 2023, it brought this to the fore with its ‘Holding Out for a ZERO’ campaign.

Created by AMV BBDO to promote Guinness 0.0, this campaign launched for St. Patrick’s Day, and represented Guinness’s largest ever ‘responsible drinking’ initiative in Ireland. The centrepiece was a playful 30-second commercial featuring animated pints of Guinness 0.0 singing along to Bonnie Tyler’s classic hit ‘Holding Out for a Hero’. It was a daft gag, but a good one nonetheless, and approach maintained Guinness’s tradition of distinctive advertising while promoting a contemporary product innovation.

Conclusion

Guinness has consistently pushed the boundaries of advertising, creating some of the most memorable and impactful campaigns in the industry. From the whimsical zoo animals of the 1930s to the innovative 0% drinks of the 2020s, Guinness has demonstrated its ability to adapt and evolve while remaining true to its core values.

FAQs

Q: What is the history of Guinness advertising?
A: Guinness has a rich history of innovative and impactful advertising, dating back to the 1930s.

Q: What is the most memorable Guinness ad?
A: The ‘My Goodness, My Guinness’ campaign, launched in the 1930s, is widely regarded as one of the most memorable and influential in the industry.

Q: What is the most recent Guinness ad campaign?
A: The ‘Holding out for a ZERO’ campaign, launched in 2023, promotes Guinness 0.0 and is part of the brand’s largest ever ‘responsible drinking’ initiative in Ireland.

My Smart Video Doorbell Watcher

ZDNET’s Key Takeaways

  • The Eufy Security Video Doorbell E340 is available now for $180.
  • This doorbell features two cameras to give you complete visibility of the person at your door and any packages left on your porch, all with no monthly fees.
  • Although the doorbell comes with 8GB of built-in local storage (enough for up to 60 days of event recordings), you need to add a Eufy Security HomeBase to get the most out of it.

Eufy Security Video Doorbell E340

The Eufy Security Video Doorbell E340 is on sale right now, available for only $150. If you’re looking for a reliable video doorbell that can help protect your home and packages and offers local storage, let me introduce you to the Eufy Security Video Doorbell E340.

Features

  • Two cameras: One camera gives you the traditional visibility of who’s at your front door, and another is pointed downwards to let you know when a package has been delivered.
  • Real-time notifications to your mobile device when a person is detected and a package is delivered.
  • Two-way talk to communicate with whoever is at the door from your mobile phone or quick replies to automatically respond when they ring the doorbell.
  • 2K resolution video recording to deliver clear and detailed footage of whoever is at the door.
  • Motion-activated lights to light the way in the dark, alert visitors or would-be intruders that the camera has been activated, and support the camera’s color night vision recording.

The Latest E340 Video Doorbell’s Two Cameras Deliver

The camera above the doorbell button records events in 2048 x 1536 resolution to deliver 2K footage that is clear and gives you a detailed view of whoever is at the door. The doorbell itself has two motion-activated lights, one at the top and a second one below — where the other camera is — to light the way in the dark, alert visitors or would-be intruders that the camera has been activated, and support the camera’s color night vision recording.

ZDNET’s Buying Advice

You can get the Eufy Security Video Doorbell E340 for $120 at the time of writing. It features 2K-resolution video recording, 8GB of local storage, color night vision with a clear viewing distance of up to 16ft, and, my personal favorite, no monthly fees. The video doorbell E340 is perfect for anyone who wants a doorbell camera to be on the alert when any visitors arrive and one to help protect their packages.

Conclusion

The Eufy Security Video Doorbell E340 is a reliable and affordable option for anyone looking for a doorbell camera that can provide peace of mind and protect their home and packages. With its two cameras, real-time notifications, and local storage, it’s an excellent choice for anyone who wants to stay safe and secure.

FAQs

Q: What is the price of the Eufy Security Video Doorbell E340?
A: The Eufy Security Video Doorbell E340 is available for $180.

Q: What are the features of the Eufy Security Video Doorbell E340?
A: The Eufy Security Video Doorbell E340 features two cameras, real-time notifications, two-way talk, and 2K-resolution video recording.

Q: How much local storage does the Eufy Security Video Doorbell E340 have?
A: The Eufy Security Video Doorbell E340 has 8GB of built-in local storage, which is enough for up to 60 days of event recordings.

Q: Do I need a HomeBase to get the most out of the Eufy Security Video Doorbell E340?
A: Yes, you need to add a Eufy Security HomeBase to get the most out of the Eufy Security Video Doorbell E340.

YC-backed ReactWise is applying AI to speed up drug manufacturing

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Artificial Intelligence in Chemistry: Accelerating Drug Development

Introduction

Artificial intelligence (AI) is stirring up significant changes in the field of chemistry, particularly in the development of new drugs. ReactWise, a YC-backed startup, is leading the charge by using AI to speed up the chemical manufacturing process.

Chemical Process Optimization

ReactWise’s “AI copilot for chemical process optimization” accelerates the process of figuring out the best method for making a drug by 30x the standard trial-and-error-based process. According to co-founder and CEO Alexander Pomberger, “making drugs is really like cooking. You need to find the best recipe to make a drug with a high purity and a high yield.”

Process Development

The industry has relied on trial-and-error or staff expertise for process development, but automation offers a way to shrink the number of iteration cycles required to land on a solid recipe for manufacturing a drug. The startup’s machine learning AI models can still deliver major savings by reducing the number of iterations needed to get past this part of the drug development chain.

Cutting through the Tedium

Pomberger and his team have been working on consolidating five years of academic research into a simple software that can predict the ideal experiment almost immediately, without the need for multiple iterations where data on each experiment is fed back in to further hone predictions.

Pre-seed Funding

ReactWise received $3.4 million in pre-seed funding, which includes $500,000 from YC and an Innovate U.K. grant of close to £1.2 million (around $1.6 million). The rest of the funding (around $1.5 million) is coming from unnamed venture capitalists and angel investors who are committed to advancing AI-driven, sustainable pharmaceutical manufacturing.

Conclusion

ReactWise’s AI-driven approach to chemical process optimization can significantly accelerate the development of new drugs, reducing the time it takes to get new pharmaceuticals to patients. With its pre-seed funding, the startup is poised to revolutionize the industry and make a meaningful impact on public health.

FAQs

Q: What is ReactWise’s AI copilot for chemical process optimization?

A: ReactWise’s AI copilot accelerates the process of figuring out the best method for making a drug by 30x the standard trial-and-error-based process.

Q: How does the startup’s machine learning AI models work?

A: The startup’s machine learning AI models can still deliver major savings by reducing the number of iterations needed to get past this part of the drug development chain.

Q: What is the inspiration behind ReactWise’s product?

A: The inspiration for ReactWise’s product came from Pomberger’s experience working in Big Pharma, where he saw how tedious and trial-and-error driven the whole industry is.

Q: What is the future of ReactWise’s technology?

A: ReactWise is working towards delivering “one shot prediction” in the near future, where the AI will be able to predict the ideal experiment almost immediately, without the need for multiple iterations.

Small Feature, Big Impact

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Adobe Unveils New Features for Substance 3D Painter at GDC 2025

Improved Path Tools and Texture Management

Adobe has announced new features for Substance 3D Painter, a tool used by game artists, VFX artists, and product designers. The latest update focuses on improving path tools and texture management, making it easier for artists to create game assets.

Filled Path Tool

The standout new feature is the Filled Path tool, a brand-new Path Type that allows 3D artists to easily "fill in" a shape traced on a model’s surface. This is ideal for creating precise details. The tool enables artists to create complex shapes and patterns with ease, reducing the need for manual editing.

Path Improvements

The update also introduces significant improvements to paths, giving artists greater control. Paths can now snap to geometry, double as a measuring tool, and can be easily copied between masks and content layers, saving time.

Automatic Cage Option for Texture Mapping

For baking texture maps, the new "automatic cage option" takes some of the guesswork out of the process, allowing artists to achieve precise results faster.

Unified Export Window

The update also features a unified export window that streamlines file management, enabling artists to spend less time organizing files and more time creating stunning visuals.

Substance 3D Apps and Bundles

Substance 3D Painter is part of a suite of Substance apps, including Substance 3D Designer, Substance 3D Sampler, and Substance 3D Modeler. These apps are designed to work together seamlessly, allowing artists to create and edit 3D models, textures, and materials.

Substance 3D Indie Bundle

Adobe has announced a new affordable Substance 3D Indie Bundle, available on Steam for $24.99 a month. The bundle includes Painter, Designer, and Modeler, as well as a curated package of assets.

Substance 3D Assets

Subscribers can access Substance 3D Assets, a collection of 20,000 materials, models, and lights, with no download limit. The collection is regularly updated with new models and scenes, and has recently added new Signature Collections from top artists Anna Koroleva and Niki Marinov.

Conclusion

The latest update for Substance 3D Painter is a quiet but significant one, focusing on improving efficiency and precision. These new features will make it easier for game artists to create high-quality game assets, and the introduction of the Substance 3D Indie Bundle makes it more accessible to a wider range of artists.

Frequently Asked Questions

Q: What are the new features in Substance 3D Painter?
A: The new features include the Filled Path tool, path improvements, automatic cage option for texture mapping, and unified export window.

Q: What is the Substance 3D Indie Bundle?
A: The Substance 3D Indie Bundle is a new affordable bundle available on Steam, including Painter, Designer, and Modeler, as well as a curated package of assets.

Q: What is Substance 3D Assets?
A: Substance 3D Assets is a collection of 20,000 materials, models, and lights, with no download limit, available to subscribers.

Q: Is Substance 3D Painter compatible with other software?
A: Yes, Substance 3D Painter is compatible with Blender, Unreal Engine, Unity, 3ds Max, and Maya, as well as optimized for Apple’s Pro workflow laptops.

AI Isn’t the Creative Cure-All

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The New Unity Gaming Report: A Cautionary Tale

AI in Game Development: The Hype is Overblown

The new Unity Gaming Report is out, and it reveals that game development studios are taking a cautious approach to the use of artificial intelligence (AI) in their projects. Despite the hype surrounding AI, the report suggests that developers are not yet convinced that it is the magic bullet to solve all of their problems.

AI as a Tool, Not a Solution

According to the report, 79% of developers polled are positive about using AI in gaming, but in practice, it is seen as just another tool among many to help with game development. Finding a balance between AI’s potential and other practical ways to save time is the main trend emerging from the Unity Gaming Report.

Practical Solutions Over AI

The report highlights that many game developers are focused on doing the fundamentals more efficiently, such as reducing R&D times, improving marketing and funding, and finding unique game concepts. For example, 21% of developers identified long lag times exploring tech as the biggest blocker, while 18% pointed to the basic puzzle of finding a unique game concept as a major issue.

Tools for Increased Productivity

The Unity Gaming Report also reveals that developers are looking for tools that can increase productivity, such as the Unity Editor, which offers deep insights into live game features for ads, data management, and analytics. 40% of developers aim to use more of these tools to streamline their workflow.

AI’s Role in Game Development

The report suggests that AI will likely be used in game development to improve productivity, not replace art and ideas. Sola Saulenko, Marketing Director at Pixonic, MY.GAMES, notes that AI tools that simplify playtesting and automate bug detection, as well as AI-powered solutions for localization and quick translations of ad copy, could save significant time and resources.

Conclusion

The Unity Gaming Report paints a picture of a cautious approach to AI in game development. While AI is seen as a valuable tool, it is not the magic solution that some had hoped for. Instead, developers are focusing on practical solutions to improve their workflow, increase productivity, and stay competitive in the market.

FAQs

Q: What does the Unity Gaming Report reveal about AI in game development?
A: The report suggests that AI is not seen as a magic solution, but rather as a tool to improve productivity and workflow.

Q: What are the main trends emerging from the Unity Gaming Report?
A: The report highlights the importance of practical solutions, such as reducing R&D times, improving marketing and funding, and finding unique game concepts.

Q: What role will AI play in game development?
A: AI will likely be used to improve productivity, not replace art and ideas.

Baidu Undercuts Rival AI Models with ERNIE 4.5 and ERNIE X1

Baidu Launches ERNIE 4.5 and ERNIE X1 AI Models

Baidu has announced the launch of its latest foundation AI models, ERNIE 4.5 and ERNIE X1, and is making them available for free to individuals through ERNIE Bot. The company aims to push the boundaries of multimodal and reasoning models, providing advanced capabilities at a more accessible price point.

ERNIE 4.5: A New Generation of Multimodal Foundation Model

ERNIE 4.5 is Baidu’s "new generation native multimodal foundation model," featuring collaborative optimization across multiple modalities, resulting in improved multimodal comprehension. It enhances language understanding, generation, reasoning, and memory, while also improving "hallucination prevention, logical reasoning, and coding abilities." A key feature of ERNIE 4.5 is its ability to integrate and understand various content types, including text, images, audio, and video. It can also grasp complex content such as internet memes and satirical cartoons, showcasing strong contextual awareness.

ERNIE 4.5 Outperforms GPT-4.5 in Several Benchmarks

Baidu claims that ERNIE 4.5 outperforms GPT-4.5 in several benchmarks while being significantly more affordable, priced at "just 1% of GPT-4.5."

ERNIE X1: A Deep-Thinking Reasoning Model

ERNIE X1 is Baidu’s new deep-thinking reasoning model, focusing on enhanced understanding, planning, reflection, and evolution. As Baidu’s "first multimodal deep-thinking reasoning model capable of tool use," X1 excels in areas like Chinese knowledge Q&A, literary creation, and complex calculations. The model’s tool use includes features like advanced search, document Q&A, image understanding, AI image generation, and webpage reading.

ERNIE X1’s Capabilities Supported by Advanced Technologies

ERNIE X1’s capabilities are supported by technologies such as the progressive reinforcement learning method, end-to-end training approach integrating chains of thought and action, and a unified multi-faceted reward system.

Availability and Pricing

For enterprise users and developers, ERNIE 4.5 is accessible through APIs on Baidu AI Cloud’s Qianfan platform, with competitive pricing structures. ERNIE X1 will soon be available on the same platform.

Conclusion

Baidu’s ERNIE 4.5 and ERNIE X1 AI models are poised to revolutionize the industry with their advanced capabilities and affordability. With their ability to integrate and understand various content types, these models have the potential to transform the way we interact with technology.

FAQs

Q: What are the key features of ERNIE 4.5?
A: ERNIE 4.5 features collaborative optimization across multiple modalities, improved multimodal comprehension, and enhanced language understanding, generation, reasoning, and memory.

Q: How does ERNIE 4.5 compare to GPT-4.5?
A: ERNIE 4.5 outperforms GPT-4.5 in several benchmarks while being significantly more affordable, priced at "just 1% of GPT-4.5."

Q: What are the key features of ERNIE X1?
A: ERNIE X1 is a deep-thinking reasoning model that focuses on enhanced understanding, planning, reflection, and evolution, and features advanced search, document Q&A, image understanding, AI image generation, and webpage reading.

Max just wiped its classic Looney Tunes lineup.

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Warner Bros. Discovery Removes Classic Looney Tunes Shorts from Max Streaming Service

Looney Tunes Lovers Reel in Disappointment

Warner Bros. Discovery has made the surprising decision to remove the entire lineup of classic Looney Tunes shorts (1930-1969) from its streaming service, Max. The move comes as a shock to fans of the beloved cartoon series, which has entertained audiences for generations.

Reason Behind the Decision

According to Deadline, the company has confirmed that Max will prioritize adult and family programming, rather than content for kids. This shift in focus may be a result of the platform’s efforts to rebrand itself as a more mature streaming service.

A Brief History of Looney Tunes

For decades, Looney Tunes has been a staple of American animation, featuring beloved characters like Bugs Bunny, Daffy Duck, Porky Pig, and Elmer Fudd. The series has undergone several changes over the years, with new content being released in the 2010s and 2020s. However, the removal of the classic shorts (1930-1969) from Max has left fans wondering what this means for the future of the franchise.

What’s Still Available on Max?

While the classic Looney Tunes shorts are no longer available, newer content, such as Looney Tunes Cartoons (2020) and New Looney Tunes (2015), is still streaming on Max. Fans of the franchise can look forward to these newer releases, which have received critical acclaim and are a more modern take on the classic characters.

Conclusion

The removal of classic Looney Tunes shorts from Max is a significant blow to fans of the franchise. While the company’s decision to prioritize adult and family programming may be a strategic move, it’s a shame to see such a beloved part of animation history disappear from the streaming service. Only time will tell if Warner Bros. Discovery will reconsider their decision or find alternative solutions to make the classic Looney Tunes shorts more accessible to fans.

Frequently Asked Questions

Q: Why did Warner Bros. Discovery remove the classic Looney Tunes shorts from Max?
A: The company prioritizes adult and family programming, rather than content for kids.

Q: Are any Looney Tunes content still available on Max?
A: Yes, newer content, such as Looney Tunes Cartoons (2020) and New Looney Tunes (2015), is still streaming on Max.

Q: Will Warner Bros. Discovery reconsider their decision?
A: At this time, the company has not announced any plans to readd the classic Looney Tunes shorts to the platform.

Q: Can I still stream the classic Looney Tunes shorts elsewhere?
A: Yes, you may be able to find the classic Looney Tunes shorts on other streaming services or through individual DVD releases.

Apple’s “Ugly and Embarrassing” AI Debacle Causes Tension in Company

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A Strange Development from Apple: The Unwelcome Delay of Siri’s Features

A Byproduct of the AI Era

A strange and unwelcome byproduct of the AI era has been the advent of products arriving without all of their promised features available at launch. We’ve seen plenty of gadgets land with headline features set to follow in subsequent software updates. It’s a dodgy practice that rarely pays off (RIP, Humane) – so it’s particularly surprising to see Apple leaning into it too.

Apple Intelligence: A Promising but Delayed Solution

Apple Intelligence was announced with great fanfare this year, promising, among other things, to completely overhaul the iPhone’s tired old voice assistant, Siri. But not only has Apple been forced to concede that Siri’s improvements are taking longer than planned, but the whole debacle is said to be causing tension in the company itself.

Internal Tensions and a Leaked Meeting

According to Bloomberg, details of a leaked internal meeting at Apple include Siri senior director Robby Walker calling the situation "ugly and embarrassing". And while the features were hoped to be ready in time for iOS 19, the meeting apparently suggested even that isn’t guaranteed.

Apple’s Official Statement and the Future of Siri

In a recent statement, Apple announced that the Siri features were taking longer than planned. "Siri helps our users find what they need and get things done quickly, and in just the past six months, we’ve made Siri more conversational, introduced new features like type to Siri and product knowledge, and added an integration with ChatGPT," the company told Daring Fireball. "We’ve also been working on a more personalized Siri, giving it more awareness of your personal context, as well as the ability to take action for you within and across your apps. It’s going to take us longer than we thought to deliver on these features and we anticipate rolling them out in the coming year.”

Tension in the Company and the Future of Apple Intelligence

Another intriguing aspect of the leaked meeting is how, according to The Verge, it hints at tension in the company, with the advertising and communications team keen to showcase features at last year’s WWDC, even though these were "nowhere near ready". Walker acknowledges that Apple’s own teases of the software have made matters worse by raising expectations. And with Apple last week pulling an ad showcasing the features, it seems the tension between Apple’s marketing and software teams isn’t set to abate any time soon.

Conclusion

Time will tell whether Apple Intelligence turns out to justify the wait, but right now the whole thing is continuing to bemuse the tech world.

FAQs

Q: What are the features of Apple Intelligence?
A: Apple Intelligence was promised to bring a range of new features to Siri, including more conversational capabilities, the ability to take action for users within and across apps, and a more personalized experience.

Q: Why are the features being delayed?
A: The features are being delayed due to a range of factors, including the complexity of the development process and the need for more time to test and refine the software.

Q: Is Apple facing internal tension over the delay?
A: Yes, according to a leaked internal meeting, there is tension within the company over the delay, with some teams wanting to release the features earlier and others wanting to take more time to ensure quality.

Q: Will the delay affect the future of Apple Intelligence?
A: It’s too early to say, but the delay is likely to have an impact on the future of Apple Intelligence, potentially affecting its adoption and user satisfaction.

AI’s Token Economy: Understanding the Language and Currency

Under the Hood of AI Applications: The Power of Tokens

What Are Tokens?

Under the hood of every AI application are algorithms that churn through data in their own language, one based on a vocabulary of tokens. Tokens are tiny units of data that come from breaking down bigger chunks of information. AI models process tokens to learn the relationships between them and unlock capabilities including prediction, generation, and reasoning. The faster tokens can be processed, the faster models can learn and respond.

Tokenization: The Process of Converting Data into Tokens

Whether a transformer AI model is processing text, images, audio clips, videos, or another modality, it will translate the data into tokens. This process is known as tokenization. Efficient tokenization helps reduce the amount of computing power required for training and inference. There are numerous tokenization methods, and tokenizers tailored for specific data types and use cases can require a smaller vocabulary, meaning there are fewer tokens to process.

How Are Tokens Used During AI Training?

Training an AI model starts with the tokenization of the training dataset. Based on the size of the training data, the number of tokens can number in the billions or trillions. The more tokens used for training, the better the quality of the AI model. As an AI model is pretrained, it’s tested by being shown a sample set of tokens and asked to predict the next token. Based on whether or not its prediction is correct, the model updates itself to improve its next guess. This process is repeated until the model learns from its mistakes and reaches a target level of accuracy, known as model convergence.

How Are Tokens Used During AI Inference and Reasoning?

During inference, an AI receives a prompt that it translates into a series of tokens. The model processes these input tokens, generates its response as tokens, and then translates it to the user’s expected format. Input and output languages can be different, such as in a model that translates English to Japanese, or one that converts text prompts into images. To understand a complete prompt, AI models must be able to process multiple tokens at once. Many models have a specified limit, referred to as a context window, and different use cases require different context window sizes.

How Do Tokens Drive AI Economics?

During pretraining and post-training, tokens equate to investment into intelligence, and during inference, they drive cost and revenue. As AI applications proliferate, new principles of AI economics are emerging. AI factories are built to sustain high-volume inference, manufacturing intelligence for users by turning tokens into monetizable insights. That’s why a growing number of AI services are measuring the value of their products based on the number of tokens consumed and generated, offering pricing plans based on a model’s rates of token input and output.

Conclusion

Tokens are the building blocks of AI applications, and understanding their role in AI training and inference is crucial for unlocking the full potential of AI. By optimizing token usage, developers can improve the performance of their AI models, reduce costs, and drive revenue. As AI applications continue to evolve, the importance of tokens will only continue to grow.

FAQs

Q: What are tokens in the context of AI?
A: Tokens are tiny units of data that come from breaking down bigger chunks of information.

Q: How are tokens used during AI training?
A: Tokens are used to train AI models by providing them with a set of data to learn from.

Q: How are tokens used during AI inference?
A: Tokens are used to process input data, generate output, and translate it into the user’s expected format.

Q: How do tokens drive AI economics?
A: During pretraining and post-training, tokens equate to investment into intelligence, and during inference, they drive cost and revenue.

Q: What are some of the challenges associated with working with tokens?
A: Some of the challenges associated with working with tokens include optimizing token usage, managing token limits, and balancing token input and output.

Q: How can developers optimize token usage?
A: Developers can optimize token usage by using efficient tokenization methods, optimizing token limits, and balancing token input and output.

AI-Powered Ideation Workflows

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Agentic SEO: The Future of SEO

For more than two years, a new concept has been emerging called Agentic SEO. The idea is to perform SEO using agents based on language models (LLMs) that perform complex tasks autonomously or semi-autonomously to save time for SEO experts. Of course, humans remain in the loop to guide these agents and validate the results.

AI Agents and Workflows

Before presenting detailed use cases regarding ideation, it is essential to explain the concept of an agent.

AI Agent

AI agents need at least five key elements to function:

  • Tools: These are all the resources and technical functionalities available to the agent.
  • Memory: This is used to store all interactions so that the agent can remember information previously shared in the discussion.
  • Instructions: Which define its limits, its rules.
  • Knowledge: This is the database that contains the concepts that the agent can use to solve problems; it can use the knowledge of the LLM or external databases.
  • Persona: Which defines its “personality” and often its level of expertise, including, in particular, its way of interacting.

Workflow

Workflows allow complex tasks to be broken down into simpler subtasks and chained together logically. They are useful in SEO because they facilitate the collection and manipulation of data needed to perform specific SEO actions. Furthermore, in recent months, AI providers (OpenAI, Claude, etc.) have moved from simply offering the model as such to enriching the user experience.

Use-Case: Ideation

Let’s start with ideation. As you know, AI excels at opening up possibilities. With the right methods, it is possible to push AI to explore every conceivable idea on a topic. An SEO expert will then select, refine, and prioritize the best suggestions based on their experience. Numerous experiments have demonstrated the positive impact of this synergy between human creativity and artificial intelligence.

Agentic SEO

Agentic SEO is the use of AI agents to optimize SEO productivity. It differs from Generative Engine Optimization (GEO), which aims to improve SEO to be visible on search engines powered by LLMs such as SearchGPT, Perplexity, or AI Overviews.

No-Code Agent Workflow Tools

Here is an example of a no-code tool called Dng.ai. We use a CSV file provided by Moz, which we analyze using an agent capable of processing the data, generating Python code, and extracting all the necessary information.

Conclusion

I leave you to appreciate the results of a tool that is built from the SEO data of any tool. I think I could have made more than two hours of video on YouTube just on the ideation aspect, as there is so much to say and test. I now invite you to explore the full potential of these tools and experiment with them to optimize your SEO strategy, and next time, I will cover audit use cases with Agentic SEO.

FAQs

  • What is Agentic SEO?
    Agentic SEO is the use of AI agents to optimize SEO productivity.
  • How does Agentic SEO differ from Generative Engine Optimization (GEO)?
    Agentic SEO uses AI agents to optimize SEO productivity, while GEO aims to improve SEO to be visible on search engines powered by LLMs.
  • What are the key elements of an AI agent?
    An AI agent needs at least five key elements to function: Tools, Memory, Instructions, Knowledge, and Persona.
  • What is a workflow?
    A workflow allows complex tasks to be broken down into simpler subtasks and chained together logically.
  • What is the purpose of a no-code agent workflow tool?
    A no-code agent workflow tool allows users to create complex workflows without coding knowledge, simplifying the process of automating specific SEO tasks.