SUSE reduces staff by 10% due to the implementation of artificial intelligence
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Aaj Tak
www.aajtak.in

SUSE reduces staff by 10% due to the implementation of artificial intelligence

SUSE, a company specializing in open-source software development, is planning a major workforce reduction. According to media reports, the company intends to lay off 10 percent of its total employees. The primary reason cited for this reduction is artificial intelligence (AI).

The company currently employs about 1900 people, and an estimated 190 employees may be laid off. Dirk Peter Van Leuven, the company's CEO, stated that the layoffs are occurring due to automation and the advancement of AI.

The CEO sent out a memorandum on November 2nd, stating that the reduction is linked to artificial intelligence (AI) and automation. He also noted that the company has analyzed its team structure, skills, and strategy. As AI capabilities continuously grow, the company must revise its workflows. The letter emphasized that the company cannot continue operating with the current design and costs.

He added that modern tools already contribute to increasing team speed and help employees work faster. However, he pointed out that some existing positions are no longer required.

It is reported that employees whose positions will be eliminated will be notified on November 4th. Individual meetings will begin next week. Subsequently, the company will present its strategy for 2027 on November 16th. Job cuts are happening because of AI and automation; previously, Google, Microsoft, and Oracle have also laid off hundreds of employees.

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Former Microsoft engineer leaves company for AI startup, misses out on 1.5 million payout
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www.aajtak.in

Former Microsoft engineer leaves company for AI startup, misses out on 1.5 million payout

Deciding to forgo a high-paying job for one's own business is a difficult step, especially when it turns out that staying a little longer could have brought in a significant sum of money after leaving. Atishay Jhin, a former software engineer at Microsoft, faced this situation. He left the company to create his AI startup, but shortly after his departure, Microsoft introduced a voluntary separation program that could have earned him around 1.5 million rupees.

Despite losing this amount, Atishay does not regret his decision. Previously, Atishay Jhin worked at both Microsoft and Nutanix. Last month, he left Microsoft to dedicate himself fully to his AI project, ScaleWorks AI.

Atishay shared in a LinkedIn post that he made the decision to leave too hastily, quitting a month earlier than planned. If he had stayed with the company for one more month, he could have received about 1.5 million rupees under Microsoft's voluntary separation offer. He noted that these 1.5 million rupees were offered in exchange for leaving the very job he had already decided to quit. Although the loss of this amount disappointed him, he emphasized that he does not regret his decision to leave the job.

Atishay also mentioned in his post that his startup, ScaleWorks AI, has achieved significant success in its first month after his departure. According to him, the startup officially became a member of the OpenAI partner network. Furthermore, he managed to get into the global freelancer network Toptal. Atishay believes that now, with the time freed from work, he can focus entirely on developing his startup, allowing him to work on his ideas faster.

In his post, Atishay questions whether he lost 1.5 million by leaving a month early or gained an extra month to pursue his dream. In his opinion, only time will provide the answer to this question. In conclusion, he asked to be asked about this decision in two years. His story serves as an example for those willing to take risks, leaving stable employment and guaranteed salary for their own venture. Nevertheless, startup success is not guaranteed, and such decisions always involve financial risks.

Using AI for software reverse engineering calls into question the business model of large tech companies
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techcentral.co.za

Using AI for software reverse engineering calls into question the business model of large tech companies

One of the early applications of generative artificial intelligence tools, such as ChatGPT and Claude, was the creation of source code—the instructions in computer language that form the basis of software like word processors and web browsers. Because code has a structured nature, this facilitates the generation process for AI tools. This raises the question of whether they can help create complex software that is usually paid for?

The method of reverse engineering involves using AI tools to decompose an existing software product into constituent parts and then writing code to recreate these components. This approach is more effective for large and complex programs than 'vibe coding,' where the user simply describes the desired functionality.

Recently, one software engineer used AI tools to create free alternatives to Microsoft Office and Adobe products, such as Photoshop. The situation was further highlighted by the viral success of a freely available AI tool called Reverse Engineer Anything within the developer community.

Some people welcome this development as a return to the early internet era when software was free both to use and to modify. Even if the situation does not fully revert, this innovation raises serious questions about the future of commercial software.

A Peculiar Turn in Internet History

At the beginning of the internet's development, there was a special, unique period. In the 1990s, the internet seemed like a source of endless possibilities, and monetization methods had not yet been developed. Users spent a lot of time communicating with strangers in niche chat forums and created websites with imperfect designs to exchange information.

A large amount of software was either free or open-source. This meant that if a program did not work as desired, its source code could be downloaded, and changes could be made independently. Search engines often helped in this process, which were the second most popular query after technology at the time.

Today, it is almost impossible to imagine, but Google did not exist back then. Microsoft was already on the market and quickly became the most well-known representative of paid software—software that must be purchased and cannot be modified independently. Thus, the 1990s represented an arena of confrontation between free and open-source software, available for modification, and commercial software actively promoted by Microsoft.

The Rise of 'Big Tech'

In late 1998, paid software received significant legal protection in the form of the US Digital Millennium Copyright Act (DMCA). This law made attempts to bypass mechanisms preventing modification illegal. The future of commercial software was secured.

The internet became a mass phenomenon, ceasing to be a closed club for early adopters. Deep technical knowledge was no longer required to purchase and use computer programs. This is when the formation of companies known today as 'Big Tech' began: Microsoft already existed, Amazon, founded in 1995, achieved profitability in 2001, Google launched in 1998, and Apple transformed from a struggling niche company into a technological giant after releasing the iPod in 2001. Facebook, the last of the original tech giants, appeared in 2004.

Suddenly, free and open-source software became the domain of exclusively technically proficient people. Its development turned into a highly specialized interest. Most programs became impossible to recompile, improve, or personalize because access to the basic source code was technically difficult and illegal.

A New Utopia of Reverse Engineering?

It can be assumed that since reverse engineering does not violate any protective mechanisms, it may not contradict the DMCA, although this could lead to legal disputes. Combined with the vibe coding method, this new era of AI-based commercial software clones potentially marks the beginning of a time when anyone can get the desired functionality in Excel.

However, this new utopia is not perfect. Some generated programs are already reporting strange errors. These errors will likely be difficult to trace if most of the code was generated by AI rather than a human.

File compatibility issues may also arise. If everyone modifies their own copy of Word, there is no guarantee that the files will remain compatible. You might be able to open a file in the 'free' version of the software, but another user using the official Microsoft product might not be able to.

Another significant change since the beginning of the internet era has been the importance of data. Even if you successfully reverse engineer Photoshop, you will not gain access to the underlying dataset that allows Adobe's proprietary AI tools to function. Similarly, successfully reverse engineering Facebook will not grant access to the behavioral data that drives its advertising success.

Thus, reverse engineering is unlikely to take us back to the early days of the internet. However, it will most likely lead to a new era where traditional methods of software monetization cease to work. The future remains uncertain, and one can only hope for a restoration of the balance of power between consumers and software creators so that the future is at least a little more hopeful.

New Artificial Intelligence Model Dessa Demonstrates Ability for Realistic Human Communication
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iol.co.za

New Artificial Intelligence Model Dessa Demonstrates Ability for Realistic Human Communication

Existing artificial intelligence models excel at routine tasks such as document drafting, image generation, or coding assistance. However, a new product called Dessa has entered the market, offering a completely different level of human interaction.

Dessa is a conversational AI that sounded remarkably like a young woman during demonstrations. The intonation, word choice, and overall rhythm of speech seemed incredibly natural, not resembling a cold database containing the entirety of human knowledge.

When listening to the recording without knowing that an AI was involved, a listener could genuinely believe they were hearing a casual conversation between two real people. During a recorded dialogue with one of Dessa's developers, it even let out a spontaneous laugh mid-sentence, bypassing the standard requirement to wait for the interlocutor to finish their thought.

Unlike traditional voice assistants, which operate with predictable latency—they listen attentively, wait for complete silence, and respond in a clipped, strictly regulated manner—Dessa completely breaks this pattern. Interaction with it feels unprecedented and almost slightly unsettling precisely because of the subtle emotions and unrehearsed timing embedded in its delivery.

The model intentionally emphasizes the emotional nuances of human dialogue, actively listening and responding with genuine real-time presence. By mastering the organic rhythm and pace of conversation, Dessa does more than just improve voice synthesis; it sets a powerful new standard for how artificial intelligence will interact with us, offering a vivid glimpse into a future where humans and machines are virtually indistinguishable.

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