KOCKA.news - Software

2025. August 12.

The Number of Organized Scientific Fraud Cases is Growing at an Alarming Rate

The world of science is built on curiosity, collaboration, and collective progress—at least in principle. In reality, however, it has always been marked by competition, inequality, and the potential for error. The scientific community has long feared that these pressures could divert some researchers from the fundamental mission of science: creating credible knowledge. For a long time, fraud appeared to be mainly the work of lone perpetrators. In recent years, however, a troubling trend has emerged: growing evidence suggests that fraud is no longer a series of isolated missteps but an organized, industrial-scale activity, according to a recent study.

2025. August 08.

Beyond the Hype: What Does GPT-5 Really Offer?

The development of artificial intelligence has accelerated rapidly in recent years, reaching a point where news about increasingly advanced models is emerging at an almost overwhelming pace. In this noisy environment, it’s difficult for any new development to stand out, as it must be more and more impressive to cross the threshold of user interest. OpenAI carries a double burden in this regard: not only must it continue to innovate, but it also needs to maintain its lead over fast-advancing competitors. It is into this tense landscape that OpenAI’s newly unveiled GPT-5 model family has arrived—eagerly anticipated by critics who, based on early announcements, expect nothing less than a new milestone in AI development. The big question, then, is whether it lives up to these expectations. In this article, we will examine how GPT-5 fits into the trajectory of AI model evolution, what new features it introduces, and how it impacts the current technological ecosystem.

2025. August 07.

The Most Popular Theories About the Impact of AI on the Workplace

Since the release of ChatGPT at the end of 2022, the field of AI has seen impressive developments almost every month, sparking widespread speculation about how it will change our lives. One of the central questions concerns its impact on the workplace. As fears surrounding this issue persist, I believe it's worth revisiting the topic from time to time. Although the development of AI is dramatic, over time we may gain a clearer understanding of such questions, as empirical evidence continues to accumulate and more theories emerge attempting to answer them. In this article, I’ve tried to compile the most relevant theories—without claiming to be exhaustive—as the literature on this topic is expanding by the day. The question remains: can we already see the light at the end of the tunnel, or are we still heading into an unfamiliar world we know too little about?

2025. July 31.

OpenAI’s Study Mode: Teaching Students How to Think

In recent years, artificial intelligence has sparked revolutionary changes in education, shifting the focus from passive information intake to active learning processes aimed at deeper understanding.

2025. July 29.

Linux Kernel 6.16 Released

Linux Kernel 6.16 has been released. While the release process was, in the developers’ words, “uneventful” in the best possible sense, significant improvements lie beneath the surface, bringing progress in areas such as security, performance, and system management. Meanwhile, development of the upcoming 6.17 version has started in a more chaotic manner than usual—highlighting the human side of one of the world’s most important open-source projects.

2025. July 25.

Anticipation is high for the release of GPT-5 — but what should we really expect?

OpenAI’s upcoming language model, GPT-5, has become one of the most anticipated technological developments in recent months. Following the release of GPT-4o and the specialized o1 models, attention is now shifting to this next-generation model, which—according to rumors and hints from company leaders—may represent a significant leap forward in artificial intelligence capabilities. But what do we actually know so far, and what remains pure speculation?

2025. July 18.

What Does the Rise of DiffuCoder and Diffusion Language Models Mean?

A new approach is now fundamentally challenging this linear paradigm: diffusion language models (dLLMs), which generate content not sequentially but globally, through iterative refinement. But are they truly better suited to code generation than the well-established AR models? And what insights can we gain from DiffuCoder, the first major open-source experiment in this field?

2025. July 17.

Apple's New AI Models Can Understand What’s on Your Screen

When we look at our phone's display, what we see feels obvious—icons, text, and buttons we’re used to. But how does artificial intelligence interpret that same interface? This question is at the heart of joint research between Apple and Finland’s Aalto University, resulting in a model called ILuvUI. This development isn’t just a technical milestone; it’s a major step toward enabling digital systems to truly understand how we use applications—and how they can assist us even more effectively.

2025. July 17.

Artificial Intelligence in the Service of Religion and the Occult

Imagine attending a religious service. The voice of the priest or rabbi is familiar, the message resonates deeply, and the sermon seems thoughtfully tailored to the lives of those present. Then it is revealed that neither the words nor the voice came from a human being—they were generated by artificial intelligence, trained on the speaker’s previous sermons. The surprise lies not only in the capabilities of the technology, but also in the realization that spirituality—so often viewed as timeless and intrinsically human—has found a new partner in the form of an algorithm. What does this shift mean for faith, religious communities, and our understanding of what it means to believe?

2025. July 16.

Getting Started with Amazon Bedrock & Knowledge Bases – A Simple Way to Make Your Documents Chat-Ready

In the world of AI, there’s often a huge gap between theory and practice. You’ve got powerful models like Claude 4, Amazon Titan, or even GPT-4, but how do you actually use them to solve a real problem? That’s where Amazon Bedrock and its Knowledge Bases come in.

2025. July 15.

CachyOS: The Linux Distribution for Gamers

Many people still associate Linux with complexity—an operating system reserved for technically savvy users, and certainly not one suitable for gaming. For years, gaming was considered the domain of Windows alone. However, this perception is gradually changing. Several Linux distributions tailored for gamers have emerged, such as SteamOS. Among them is CachyOS, an Arch-based system that prioritizes performance, security, and user experience. The July 2025 release is a clear example of how a once niche project can evolve into a reliable and appealing option for everyday use. In fact, it recently claimed the top spot on DistroWatch’s popularity list, surpassing all other distributions.

2025. July 15.

Will Artificial Intelligence Spell the End of Antivirus Software?

In professional discussions, the question of whether artificial intelligence (AI) could become a tool for cybercrime is increasingly gaining attention. While the media sometimes resorts to exaggerated claims, the reality is more nuanced and demands a balanced understanding.

2025. July 14.

What Kind of Browser Is OpenAI Developing – and Why Should We Pay Attention to It?

For decades, internet browsers have operated on the same basic principle: users type what they're looking for, then click through links and navigate between pages to find the desired information or service.

2025. July 14.

The Era of AI-Driven Startups

Startups have always thrived on rapid adaptation and the implementation of new ideas. In recent years, however, the emergence of artificial intelligence has fundamentally transformed the pace and strategy of these ventures. In a recent talk, world-renowned AI expert and AI Fund founder Andrew Ng discussed how businesses can harness AI to achieve lightning-fast execution and business success.

2025. July 12.

Switzerland’s New Language Model Shows How AI Can Truly Serve the Public Good

As artificial intelligence (AI) rapidly transforms scientific research, industry, and public services, growing concerns are emerging about its transparency, societal value, and accountability. Swiss researchers are responding to these concerns with a bold initiative: they have developed a fully open-source, publicly funded large language model (LLM), which they plan to release to the public this summer. The project is led by ETH Zurich, EPFL, and the Swiss National Supercomputing Centre (CSCS), with computing power provided by Alps—a supercomputer purpose-built for AI tasks.

2025. July 09.

Phase Transition Observed in Language Model Learning

What happens inside the "mind" of artificial intelligence when it learns to understand language? How does it move from simply following the order of words to grasping their meaning? A recently published study offers a theoretical perspective on these internal processes and identifies a transformation that resembles a physical phase transition.

2025. July 09.

How AI is Helping to Reduce Carbon Emissions in the Cement Industry

One industry alone is responsible for around eight percent of global carbon emissions: cement production. That’s more than the entire aviation sector emits worldwide. As the world increasingly relies on concrete for housing, infrastructure, and industrial facilities, cement manufacturing remains highly energy-intensive and a major source of pollution. A research team at the Paul Scherrer Institute (PSI) in Switzerland is aiming to change this—by using artificial intelligence to develop new, more environmentally friendly cement formulas.

2025. July 08.

Where is Artificial Intelligence Really Today?

The development of artificial intelligence has produced spectacular and often impressive results in recent years. Systems like ChatGPT can generate natural-sounding language, solve problems, and in many tasks, even surpass human performance. However, a growing number of prominent researchers and technology leaders — including John Carmack and François Chollet — caution that these achievements don’t necessarily indicate that artificial general intelligence (AGI) is just around the corner. Behind the impressive performances, new types of challenges and limitations are emerging that go far beyond raw capability.