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The future of creativity, brought to you by artificial intelligence – VentureBeat

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The world has been wowed by the newest displays of text-to-image technology by DALL-E 2 from OpenAI and Imagen from Google. Beautiful, amazingly creative compilations all generated by artificial intelligence (AI) systems. This is possible because AI has learned natural language understanding by looking at countless texts and images. 

Today’s systems have been trained to output new images when text is entered alongside pictures, uniting two seemingly disparate things in unique ways, much to the delight of viewers. A traditional image, such as that of an oil painting, can be co-opted to express something new or evoke a completely different feeling. It’s a new way to create.

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Imagine that with this AI technology, users no longer have to scroll through tons of image results to find the best content for their needs. In contrast with image search, people create something totally new, something that has never existed, something that perfectly suits their desires, whims or content direction. All they have to do is type in what they want, and the AI will draw images and construct photos as described in the given text, i.e., “Please give me a photo of a restaurant with a VentureBeat sign on the window that is on Mars.” New systems will return such photos. In essence, the system is an AI designer.

Such creative power grows exponentially when also deployed to make videos from text that describes a situation and mood, and which incorporates virtual actors. Or when text + AI construct the music to go with videos and images.

Text-to-video or music technologies are already commercially available and continue to be refined, opening up the potential to add more creative processes. If AI can draw images or design, human designers’ roles could evolve. Having brilliant and inspiring ideas would become more important, and the ability to discriminate the best output from the worst will be crucial as drawing skills might be replaced by AI. Those less skilled could also develop their own creative products with lower effort. 

The new company creative

But it is not just what can be done for the sake of being creative, it’s how such technology can be used to influence our world. There are certainly many entertaining or even heartwarming uses that might enrich our personal lives, but how will AI reshape creativity in the business world? 

To start with, it can dramatically reduce the time, money and resources spent by marketing and ad teams. New campaigns could be rolled out in the blink of an eye. AI-based creative would enable teams to respond to changes in the landscape, react to news or trends, or proactively launch products and services in entirely new ways. 

Additionally, such content and materials could be readily replicated in multiple languages, using AI to enable companies to quickly, easily and affordably reach global audiences, further aiding in international expansion. These are powerful reasons to invest in AI technology for creative uses.

The evolving role of humans

The biggest question on many people’s minds, though, is what the deployment of such technology could mean for the role of humans? If they are no longer creating the creative, are they even needed? I would argue that they are still creating the creative, just with different tools that make it easier and more cost-efficient. 

In a world where AI systems could enhance creative processes, humans still would be expected to take on higher-level tasks, such as developing ideas, giving instructions, evaluating, revising and making final decisions – and they would have infinitely more options at their disposal. They would be responsible for constructing and defining the elements of the composition but without the burden of putting it together. By using AI tools, productivity AND creativity could increase as people perform various activities more easily.

Potential for misuse

As with any groundbreaking technology, there is the potential for misuse. We’ve all seen how images, hate speech and disinformation have spread on social media – what would make AI-generated content different?  I believe that our society can find ethical consensus for using the technology in positive ways, but we have the option of regulating if necessary.

Perhaps one potential issue is the copyright problem or plagiarism for an AI system applied for creative development. DALL-E 2 was trained with tons of images online, and it is possible for it to return an image that is very similar to an existing one. Likewise, issues can surface with AI writers, AI music compositions, and even more types of AI-generated algorithms.

Recently, for example, virtual humans with AI-generated voices and faces have become popular across the globe. In these cases, a virtual human’s face or voice can be much like an actual human’s identity based on big training data.

Applying human rules to AI’s creations

But, our society already has come to a consensus about plagiarism of writing or composition by humans. For AI, similar guidelines could be applied to the creators, and if needed, an AI-based plagiarism checker could help review users’ decisions for absolute clarity. Humans are in control. The content creators define the rules for how text, images, videos and voice can be combined; they set the course. 

AI for creative uses will be leveraged to elevate brands. As such, AI vendors that make these advances possible may also be selected based on the types of licensing relationships they have, the volume and quality of images they have access to, the range of voice actors under contract, the capabilities to combine such assets to create unique footprints and much more, should more oversight be necessary. 

And, if or when it doesn’t, new technologies are being developed rapidly that can preserve digital identities and the authenticity of images. For instance, every human voice, every face, is comprised of tens of thousands of characteristics. The same is true for images. This makes it very, very difficult to fully replicate them without permission. 

Significant research is already underway for deep-fake detection. Similarly, researchers and data scientists are able to deconstruct the characteristics of a speaker’s voice to determine whether a unique voice was used in a video or audio snippet, or a combination of many voices were blended through the strategic and appropriate use of technology.

And researchers are hard at work developing other preventative solutions. The technology industry is learning from past mistakes in order to safeguard the future, particularly when it comes to AI.

We sit at the precipice of a moment when creativity can make a big leap forward. Amazing things will be possible if we only open our human minds to what could be.

Taesu Kim is the CEO of Neosapience.

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Apple announces May 7 special event, hints at possible next-gen Apple Pencil – O'Grady's Power Page

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There may be some cool stuff en route for Apple’s special event on May 7, which was announced on Tuesday.

The company may have also dropped some interesting hints into the invitation, including a pencil icon that could indicate a next-gen Apple Pencil within the works.

In a post on X, Apple CEO Cook shared the artwork for the event with the caption “Pencil us in for May 7!” The executive also added a pencil emoji to the post, which further corroborates the fact that Apple will indeed launch new iPads and potentially a new Apple Pencil at its special “Let Loose” event on May 7.

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The last time Apple launched a new generation Apple Pencil was in 2018, excluding a cheaper USB-C version that was introduced in late 2023. With the most recent generation, Apple updated the Apple Pencil with a matte design, better grip, a new double-tap gesture, and magnetic charging.

Additional rumors have also hinted that the next-gen Apple Pencil could feature Find My integration, which would help users track and find their lost Apple Pencil, just like with AirPods and AirTags.

Stay tuned for additional details as they become available.

Via 9to5Mac and @tim_cook

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How Technology Can Drive Culture Change in Software Organisations – InfoQ.com

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Technological improvements like containers, VMs, infrastructure-as-code, software-defined-networking, collaborative version control, and CI/CD can make it possible to fix cultural issues around organisational dynamics and bad product delivery. According to Nigel Kersten, software leaders should leverage tech to create positive changes in organisational dynamics and relationships between teams.

Nigel Kersten spoke about how technology can drive culture change at FlowCon France 2024.

Cultural change efforts across larger tech organizations tend to fail often. The most common problem is a failure to define what “cultural change” actually means, Kersten said. “Culture” is far too broad a term, and unless you identify specific and actionable issues that you want to address, you won’t succeed:

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First, you’ll find that everyone has a different idea of what “culture” means and a different set of issues in mind, which makes progress difficult. Secondly, you’ll find that without a more specific and concrete set of goals, people will lack confidence that they can create any kind of impact, and will feel helpless.

In most software organisations, it is technological improvements that make it possible to fix the sorts of issues around organisational dynamics and bad product delivery, Kersten said. Improvements don’t automatically happen due to new tech capabilities, but they do become possible if leaders take advantage of them, he added.

Kersten argued that most technologists want to learn new things, as there’s a natural incentive there for their own careers:

If they understand what the business is trying to achieve and why, and you’re regularly listening to your teams in the way good leaders do, then suggestions for new tech will naturally emerge.

The job of a tech leader is to work out how to leverage this new tech to create positive changes in organisational dynamics and relationships between teams, Kersten mentioned.

Tech that creates simplified abstractions over complexity drives the greatest cultural change, Kersten said. Think of containers, VMs, infrastructure-as-code, software-defined-networking, collaborative version control, and CI/CD:

The tools in this space all enable subject matter experts to bundle up their expertise and make it usable by a larger group of people.

This democratisation makes it easier to have that larger group work towards a common goal, which allows teams to work at their own pace without waiting for someone else to fulfil their request, ultimately making it easier to solve problems for your users, Kersten concluded.

InfoQ interviewed Nigel Kersten about driving culture change with technology.

InfoQ: You mentioned in your talk that getting to fast flow or doing platform engineering well is much more than a shift in culture. What’s needed to support technological change in organizations?

Nigel Kersten: If you’re an organisational leader, the very best thing you can do to enable technical change is to create engaged, satisfied teams with clear context around your business goals, incentivise them to look for continuous improvements, and then give them the time, space, and support to investigate new technologies.

Common examples here are anything to do with automation. If teams have the space to learn new skills and apply them to automate manual tasks, then it’s a relatively simple next step to expose that automation to other teams and to start creating self-service interfaces. This could be something as simple as the remediation of a certain kind of issue in production, or updating a configuration setting.

InfoQ: What are the things that we can or cannot improve with software?

Kersten: Software won’t help you if you don’t have a strategy, if you don’t have a clear vision, and if you don’t have a clear set of goals you want your organisation to achieve. It won’t help you fix diversity issues on your teams, and it won’t help you create psychological safety, which we know is a primary driver of successful teams.

Software can help you with improving internal and external feedback loops, speeding up decision-making, inter-team interactions, and the impact that teams can have on the business, but not without conscious effort from leadership. Software by itself is never a magic bullet.

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For Practitioners, by Practitioners: Solve Your Software Challenges at InfoQ & QCon Software Events – InfoQ.com

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Behind every InfoQ Dev Summit and QCon software development conference is a collective of distinguished senior software practitioners who carefully curate the topics based on the crucial trends and essential best practices you need to know about. These architects and leaders are charged with creating THE conference they would want to attend.

While some conferences issue calls for papers, InfoQ Dev Summit and QCon hand-select all the speakers. Domain experts individually select each talk for fit and merit. We search for the talks and find the speakers you want to learn from. These are not always the most famous people, but they are often the most compelling voices you’ll find in software.

Once the speakers are found, they undergo multiple interviews (with committee members, track hosts, and the conference chair) and a mandated rehearsal process before speaking at InfoQ Dev Summit and QCon. We offer training webinars, mentorship, and slide/code reviews with past speakers to enhance our speakers’ presentations, so they are sharp by the time they get to you. We take your time and conference investment as seriously as you do. We value the trust you place in us.

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If you’re curious to see what types of talks you’ll find at InfoQ Dev Summit and QCon, take a look at a few recent talks:

  • How Netflix Really Uses Java: At QCon San Francisco 2023, Paul Bakker, Java Platform @Netflix, Java Champion, and Co-Author of “Java 9 Modularity”, explored the current Netflix architecture(s). He provided a deep dive into how and why the architecture evolved the way it did and related this to the evolution of the Netflix Java tech stack.
  • Banking on Thousands of Microservices: Suhail Patel, Staff Engineer @Monzo, shared at QCon London 2023 the lessons he and his team learned from building an online bank. He discussed technological choices, such as using Cassandra and Kubernetes in the early days, and explored how @Monzo has maintained its speed of execution through a focus on platform engineering and developer experience.
  • Why Technical Experience Matters: How to Build a Lifelong Career in Software Development: At QCon London 2023, Sven Reimers, System Engineer @Airbus Defence & Space, shared how you can be a lifelong software developer. He discussed how to have your deep technical expertise valued by the industry and the role you can play in mentoring the next generation.

We believe InfoQ Dev Summit and QCon conferences are special experiences. If you’ve never been before, you owe it to yourself to understand why our conferences are so popular among developers and architects. Come find out why we’ve earned the reputation as a conference of “practitioners talking to practitioners.” You won’t forget the experience.

The upcoming software development conferences for 2024:

P.S. Teams as small as 3 attendees working for the same company are eligible for a group discount. For more details, email info@qconferences.com and mention the conference and size of the group to receive your discount code.

P.S.S. Due to popular demand, we’re extending the early bird dates for InfoQ Dev Summit Boston and Munich by two weeks for InfoQ readers. Save $100 for InfoQ Dev Summit Boston with code LIMITEDOFFERIDSBOSTON24 and €75 for InfoQ Dev Summit Munich with promo code LIMITEDOFFERIDSMUNICH24 when registering. Valid until May 6.

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