The concept of superintelligence, artificial men, and thinking machines isn't just a product of modern technology; this notion can be traced back to ancient Greek mythology. Over the centuries, humanity has delved into these ideas through philosophy, scientific inquiry, and artistic expression. The Machine Age, from the late 19th to the mid-20th century, marked a significant turning point, exponentially expanding the possibilities of teachable machines.
As science fiction began to morph into reality, the term "artificial intelligence" was coined at the Dartmouth Conference in 1956. Since then, AI has surged forward with the advent of the internet, seamlessly integrating into our daily lives. Consider how often we rely on our devices for tasks big and small, from map navigation to refining our written content with tools like Grammarly. Films featuring beloved smart robots, like the iconic C-3PO of Star Wars fame, paint optimistic pictures of AI as the ultimate aide—now, that future is our reality.
A Short History of AI
As we approach 2025, we’re celebrating 75 years of AI innovation. From 1950 to today, progress has been astounding. It's evolving so rapidly that new tools are discovered daily.
A Short History of AI
As we approach 2025, we’re celebrating 75 years of AI innovation. From 1950 to today, progress has been astounding. It's evolving so rapidly that new tools are discovered daily.
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Alan Turing introduced the idea of machine intelligence. He also proposed the Turing Test, which tests a machine’s ability to exhibit behavior similar to human behavior.
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Dartmouth Conference where a group of researchers first coined the term “artificial intelligence.” They envisioned creating machines that could simulate human intelligence.
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Researchers Herbert Simon, Allen Newell, and Cliff Shaw developed symbolic reasoning approaches, such as the Logic Theorist and General Problem Solver. It created stronger mathematical models than human experts and further advanced the field.
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Harold Cohen was creating and exhibiting generative AI works created by AARON, the computer program Cohen created to generate paintings.
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The AI Winter: High expectations of AI capabilities were not met early on and its research funding decreased.
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The emergence of connectionism and neural networks began.
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A resurgence of AI research—machine learning quickly gained popularity and algorithms to support vector machines and decision trees widely gained in adoption.
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Applications like IBM’s Deep Blue defeated chess champion Garry Kasparov and further demonstrated the potential of AI in specific domains.
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The availability of large-scale data sets and the advancements in computing power led to the emergence of deep learning. These were made possible by the adoption of the Internet and social media within everyday peoples’ lives.
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Apple acquired the Siri app for iOS and integrated it into the iPhone 4s at its release on 4 October 2011.
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The Transformer network enabled advancements in generative models compared to older Long-Short Term Memory models leading to the first generative pre-trained transformer (GPT), known as GPT-1.
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The release of DALL-E, a transformer-based pixel generative model, followed by Midjourney and Stable Diffusion marked the emergence of practical high-quality artificial intelligence art from natural language prompts.
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GPT-4 was released.
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In the United States, a group of companies including OpenAI, Alphabet, and Meta signed a voluntary agreement with the White House to watermark AI-generated content.
At Stamp, we view AI as the ultimate assistant—a powerful tool when wielded with care and expertise. We strive to understand its capabilities and limitations fully. Our commitment to producing exceptional work is unwavering and grounded in originality—giving us a deep understanding of each client's unique needs. Ethical considerations are paramount in every decision we make, including our use of AI.
- AI integration is beginning to become the industry standard - 83% of creatives already use AI and 49% of them report using it in the past week.
- AI is not only a tool we use for efficiency; it's also used throughout our commitment to delivering top-notch services while maintaining consistent branding and language standards. With the right oversight and direction, AI can be revolutionary.
Stamp currently leverages artificial intelligence for our clients the same way we utilize other creative or strategic tools—with expert guidance and strategic insight gleaned from years of industry experience. As the possibilities of AI and the capabilities of these tools continue to develop, our expertise is what helps us determine the right solution for each project and ensures that our clients can trust us to use AI ethically, creatively, and strategically to create good work that yields great results.
Like any tool, AI is only as effective as the individuals directing it. Crafting the right input is as crucial as monitoring the output, ensuring accuracy and compliance with copyright laws. Understanding appropriate usage and how to get the most out of AI software also requires an expert approach. Generated work can only be as good as the prompts used in the process. It takes a skilled expert to not only monitor the output but carefully craft the input to ensure that the program understands the request and has all of the parameters required to achieve successful results. All generated content must be scrutinized to ensure that information is accurate and free of any copyright concerns because we are the experts—not the AI.
Throughout our creative process, AI serves as a valuable tool rather than a solitary solution. From editing text and images to generating headlines or illustrations, AI is typically a single step along the creative journey rather than a comprehensive one-stop solution. It aids in ideation, content generation, and even project management, but it's always guided by human expertise. From the initial brainstorming phase to making final edits, AI empowers us to deliver exceptional results efficiently and effectively, free of any copyright concerns. In the project's early stages, AI plays a pivotal role in ideation, tapping into vast information sources to uncover fresh insights. Tools like Anyword help discover subtle connections in copy, fueling creative headline development. AI-driven image generation aids in exploring illustration styles and conceptualizing visuals before formal photoshoots. Throughout ideation, our seasoned team always refines AI-generated content. AI also supports ongoing work, assisting in audience testing and refining media assets.
Some ways we use AI at Stamp that you could use to be more efficient and free up time for other tasks are below.
Writing assistance:
- Grammar and Spelling Checking: tools can identify errors, ensuring your writing is clear.
- Style and Tone Checking: analyze your writing style to make it more consistent, on-brand, and understandable by your target audience.
- Sentence Structure: analyze your sentence structure to make your writing easier to read.
- Word Choice: suggest alternative words or phrases to improve the clarity and impact of your writing.
- Consistency: helps you maintain consistency in terminology, formatting, and style.
- Feedback and Suggestions: scan your writing to address issues such as removing jargon, avoiding passive voice, or restructuring sentences for clarity.
Trello, Buildertrend, and more help project managers streamline decision-making and efficiency:
- Improved Efficiency: automating repetitive tasks, such as scheduling, resource allocation, and data entry will save time.
- Enhanced Decision Making: analyze large amounts of data quickly and provide insights to help make informed decisions.
- Risk Management: identify potential risks and suggest mitigation strategies, to help proactively address issues before they escalate.
- Resource Optimization: analyze resource usage patterns and recommend ways to optimize allocation, leading to savings and better project outcomes.
- Predictive Analytics: uses historical data to predict future trends and outcomes, helping to anticipate challenges and plan accordingly.
- Personalized Insights: can provide recommendations and insights based on individual preferences and past performance.
Image generation can assist in creating renderings from blueprints with programs like Midjourney, social media graphics with programs like Canva, charts and graphs with programs like Excel, and more.
- Image Generation: generate new images based on existing ones, such as creating variations of a design or rendering different perspectives of a scene.
- Image Compression: compress images without losing quality, reducing file sizes for faster loading times on websites or in applications.
- Image Search and Tagging: AI can automatically tag images with relevant keywords based on their content, making organizing and searching for images in a database easier.
With 5 writers pitching in to address this topic, our blog's consistency and polish were cleaned up by AI tools such as Grammarly and Anyword, which ensure clarity and brand adherence. Similarly, project management platforms streamline our workflow, allowing us to focus on what truly matters—creative excellence.
In this rapidly evolving landscape, the synergy between clients and agencies is paramount. AI presents unique opportunities for collaboration and innovation, but it's incumbent upon agencies to guide clients through this journey. Together, we can embrace AI's potential while maintaining flexibility and a spirit of exploration.