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Kipinä
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A curious recipe of tech, combining deep understanding of digital realities, sprinkled with perspectives of humanity on top. Written by humans, assisted by AI. Read on!
On the cutting edge of time and technology
Kipinä
Insights
A curious recipe of tech, combining deep understanding of digital realities, sprinkled with perspectives of humanity on top. Written by humans, assisted by AI. Read on!
By topic:
Humans and Machines: Building Learning Cultures in the Age of AI
In the rapidly evolving landscape of technology, we are forced to ask ourselves a difficult question: in one word, what human skill is the most crucial in the age of AI?
As we're heading into 2026, businesses must prepare for a future where humans and machines collaborate rather than compete. But with AI becoming exponentially better, why should humans keep learning at all?
A coder's perspective: a lightweight experiment revealed the dangers of careless AI coding in software development
AI can write code in a few hours, but understanding and security are not as fast. This lightweight experiment revealed how AI-based software development can produce serious vulnerabilities if good practices are not followed - and why the role of humans as code understanders is still invaluable.
Where does AI really fit in - and where doesn't it? An in-depth guide for tech decision-makers
Artificial intelligence has been used in digital solutions for a long time, but right now the pace of progress is exceptionally fast. Jari Huilla, CTO of Kipinä, stops to ask: what is the essence of the current challenges in the limited context of large-scale language models? So take a peek under the hood at the mathematical constraints of transformer architecture and insight into how to live with these constraints now and in the future.
From a coder's perspective: psychological safety, ego and the difficulty of openness in the age of artificial intelligence
Empathy, ego and AI - what happens when humans dare to be incomplete in the presence of AI?
Agile Coach Arto Kellokoski discusses the interplay between AI and humanity in his blog. He writes about psychological safety, the impact of ego on decision-making and how AI can act as an emotional partner - not just for efficiency, but for reflection and presence.
From a coder's perspective: the best AI solutions are always based on high-quality data.
There is a lot of talk about AI solutions, but less about what they are actually built on. The answer is simple: data. And not just any data, but high-quality, reliable and business-driven data.
In a blog series, Kipinä consultant Antti Rintala has summarised the kind of foundation required for the use of artificial intelligence. In this compilation, we bring together key perspectives that help build a solid foundation not only for AI solutions - but also for sustainable knowledge management in business.
Case Otava: Full organisational support for accessibility
There is a significant focus on accessibility, and it is seen as an equally important part of application development as any other aspect of the development process. Therefore, as a developer passionate about accessibility, it has been great to be involved in building Otava's new digital learning platform. Read the blog to learn more about how accessibility has been built into the development of Otava's services.
From a coder's perspective: in the crossroads of AI and security, human responsibility is highlighted.
Every coder recognises the risk of relying on something - a third-party library, a ready-made solution or even a colleague's recommendation - that you don't fully understand, due to the rush, pressure and your own high standards. Attending the annual AWS re:Invent technology conference in Las Vegas really made me realize my responsibility as a developer when using AI-generated code.
"As coders and customers, are we sufficiently aware of the race between AI and security in software development? Do we recognize the risks of the rush and the ever-increasing pace?"
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