Etiket: yapay zeka

GLM 5.2: Çin’in Yeni AI Modeli Anthropic ile Rekabet Sağlıyor!

A new artificial intelligence model from China is catching up to other leading American AI models. The name of this new contender? GLM 5.2. It was la

A new artificial intelligence model from China is catching up to other leading American AI models. The name of this new contender? GLM 5.2. It was launched by Z.ai just a day after the United States took a significant step by banning Anthropic from supplying its Fable 5 and Mythos models to non-Americans earlier this month, right before the controls were lifted on June 30. Yani, tam zamanında geldi!

Z.ai claims that GLM 5.2’s performance is almost on par with Anthropic’s Claude Opus 4.8 and OpenAI’s GPT 5.5. Hadi canım, bu ciddi bir rakip demek! The model operates on a whopping 1 million token context window, which translates to about 750,000 words in working memory. Yani, düşünün, bu kadar kelimeyi bir arada tutabiliyor! GLM 5.2 is designed for long coding tasks, maintaining “quality across long, messy coding-agent trajectories,” or in simple terms, it keeps it together even when the job gets messy.

Z.ai’s testing revealed some exciting results. For open-ended technical projects that could last from hours to days, GLM 5.2 trails Opus 4.8 by just 1%! Ama yine de, GPT-5.5 ve Opus 4.7’yi geçmeyi başardı. On another test focused on improving smaller models with a single GPU, the model outperformed both GPT-5.5 and Opus 4.7, landing right behind Opus 4.8. Ancak en zorlu testlerde, yani maraton uzunluğundaki mühendislik görevlerinde, hala Opus 4.8’in gerisinde kalıyor; ama yine de genel sıralamada ikinci sırada.

Across all three benchmarks, GLM-5.2 is touted as the leading open-source model. Bu da çok önemli, çünkü açık kaynaklı bir model olması, onun daha geniş bir kitleye ulaşabileceği anlamına geliyor. Z.ai, bu modelin “no regional limits and technical access without borders” özellikleri olduğunu belirtiyor. Yani, bu AI sistemi her türlü amaç için değiştirilebilir, çıktısını değiştirebilir ve başka kullanıcılarla paylaşılabilir. Tamamen özgür!

Bu durum, Anthropic ve OpenAI gibi şirketlerin kapalı kaynaklı modellerinin aksine, kullanıcının tamamen sağlayıcıya bağımlı kalmasını engelliyor. ABD ve Çin, sağlık sektörünü şekillendirecek ve ulusal güvenlik üzerinde etkileri olacak bu teknolojide lider olabilmek için bir AI yarışı içerisindeler. ABD, yarışı önde götürmek için yarı iletken erişimini kısıtlarken, Çin daha uygun fiyatlı açık kaynaklı modellerle ilerliyor. Geçen yıl Ocak ayında, Çin merkezli DeepSeek, R1’i piyasaya sürerek global AI yarışını sarsmıştı. Bu model, ABD’deki rakiplerinden daha ucuz ve enerji verimliydi.

Bakalım GLM 5.2, AI yarışında Anthropic ve OpenAI karşısında nasıl bir performans gösterecek? Gelişmeleri takip ediyoruz…

Kaynak: Orijinal Haber

Yann LeCun’un Vizyonu: Gelecekteki Yapay Zeka Nasıl Olacak?

Yann LeCun, yapay zeka dünyasının önde gelen isimlerinden biri olarak, yeni bir AI sistemi üzerinde çalışıyor. Meta’nın eski baş AI bilim

Yann LeCun, yapay zeka dünyasının önde gelen isimlerinden biri olarak, yeni bir AI sistemi üzerinde çalışıyor. Meta’nın eski baş AI bilimcisi olan LeCun, 2025 yılında bu şirketten ayrılarak Advanced Machine Intelligence Labs (AMI Labs) adlı bir firma kurdu. Hedefi, ChatGPT, Claude ve Gemini gibi mevcut sistemlerin ötesine geçmek. LeCun, bu mevcut sistemlerin belirli işlevleri yerine getirebildiğini kabul ediyor ama gerçek dünya gibi karmaşık durumlarla başa çıkacak yeteneklere sahip olmadığını vurguluyor. “Gerçekten zeki değiller,” diyor LeCun, VivaTech etkinliğinde bana söylediklerinde. Gerçekten de, büyük dil modelleri (LLM’ler) sadece bilgiyi biriktiriyor ve onu geri veriyor. “Onları eğitiyorsun, ama aslında temel bir anlayışları yok,” diye ekliyor.

Gelelim robotlara… LeCun, insansı robotların gerçek dünyayı anlaması için daha esnek bir yapay zekaya ihtiyaç duyulduğunu belirtiyor. Robotik endüstrisine milyarlarca dolarlık yatırım yapılmasına rağmen, bu robotları güvenli bir şekilde ev işlerini yapabilmeleri için eğitmek oldukça zor ve maliyetli. “LLM’ler, robotlar için büyük ölçüde işe yaramaz,” diyor LeCun. Yani, süper zeka seviyesine ulaşmamız pek mümkün değil. Gelecek on yılın, açıklama yapabilen sistemlerin geliştirilmesiyle geçeceğini düşünüyor. “Ne önemli? Ne neden olur? Farklı bir eylem yaparsam ne olur?” gibi sorulara yanıt verebilen modellerin gerekliliğine işaret ediyor.

LeCun, bilgiye organize bir şekilde ulaşabilen sistemlerin önemini vurguluyor. “Bilinçli bir mekanik dünya modeline ihtiyacınız var,” diyor. Bu tür sistemler, bilgiyi hatırlamak, birleştirmek ve gerektiğinde değiştirmek için yapılandırılmış olmalı. Geçmişte, 2017 veya 2018 yıllarında, ChatGPT benzeri bir şeyin ne zaman olacağını tahmin edenler, bunun on yıllar alacağını söylerdi. Ama şimdi, eğer bu sistemler başarılı olursa, büyük düşünme zamanı gelecek. Peki, robotlar bağımsız bir şekilde çalışmaya başladığında insanlara ne olacak? “Yapay zeka bizim için çalışacak,” diyor. Bu, düşündürücü bir soru. Bakalım bu sürecin nereye gideceği…

Kaynak: Orijinal Haber

EU Data Protection Rules Delay AI Tools Rollout: A Growing Concern

Global tech companies are increasingly pointing fingers at the European Union’s regulatory framework as the main culprit behind the delays and non-

Global tech companies are increasingly pointing fingers at the European Union’s regulatory framework as the main culprit behind the delays and non-rollouts of their latest services in Europe. It’s a familiar tune for many European consumers who find themselves waiting longer than their American counterparts for the latest tools and technologies. A recent report by Goverce.AI, analyzing 375 large language models (LLMs) released between June 2018 and May 2026, paints a stark picture of the situation. The findings reveal that at least 11% of model releases from big players like Meta, Google, OpenAI, and Anthropic faced delays or were completely withheld in the EU, in comparison to just 7% in the UK.

Now, hold on a second. Out of the 68 documented cases of delays and non-releases, regulatory factors were the primary reason in a staggering 56 cases. One striking example is the Claude 3 Opus web app, which suffered a 71-day delay in its release in the EU. And guess what? Meta took the cake with the highest overall rate of delays, as more than a quarter—26%—of its releases were either delayed or not launched at all in the EU. In the UK, this number was a bit more forgiving at 15%.

The report highlights that data protection regulations are the main regulatory barrier for these companies. Non-text modalities like images, audio, and real-time video face even tougher challenges than plain old text. With the Digital Markets Act (DMA) only coming into force in 2023 and the AI Act set to be adopted in 2024, the full impact of these regulations is still on the horizon.

Now, while the UK and EU might share a similar regulatory landscape with laws like GDPR, which was in place before Brexit, it seems the EU’s approach is a bit more stringent. The authors of the report argue that this is largely due to the EU’s “aggressive enforcement” and the sluggish pace at which data protection rules are clarified when it comes to training and deploying LLMs. It’s like the EU knows its own rules could be stifling AI development, as they’re currently mulling over the Digital Omnibus, aimed at making data regulations more adaptable for AI growth.

But, wait! There’s another layer to this. The EU is also in the midst of reviewing the EU Copyright Directive alongside the AI Act’s copyright provisions to ensure authors’ rights are protected. This could complicate matters further, making the availability of state-of-the-art AI models even trickier down the line if these regulations are enforced too stringently.

John Lidiard, an AI policy researcher at GovAI, sums it up: the EU’s tight grip on data protection could turn into a chokehold for innovation. This story first made waves on EU Tech Loop and has since been shared on Euronews as part of an agreement.

So, what’s next for AI in Europe? Will these regulatory hurdles continue to slow down innovation, or will there be a breakthrough? Only time will tell…

Kaynak: Orijinal Haber

How AI is Transforming Post-Earthquake Rescue Efforts in Venezuela

In a significant move to enhance rescue operations following devastating earthquakes in Venezuela, organizations like NASA, Microsoft, and the Europe

In a significant move to enhance rescue operations following devastating earthquakes in Venezuela, organizations like NASA, Microsoft, and the European Union are leveraging artificial intelligence (AI) in groundbreaking ways. These entities are employing AI technologies to streamline and expedite rescue efforts, ensuring that aid reaches those in dire need as swiftly as possible.

After a major quake, the chaos and destruction left in its wake often complicate rescue missions. However, with the integration of AI, these organizations are not only improving response times but also increasing the efficiency of their operations. For instance, NASA has been utilizing AI algorithms to analyze satellite imagery, allowing them to identify the most affected areas and prioritize where resources are needed the most. Imagine this: a satellite in orbit captures real-time images of the destruction, and within moments, AI processes this data to highlight critical zones…

Meanwhile, Microsoft is contributing by enhancing communication systems through AI-driven tools. These tools help coordinate between various rescue teams, ensuring that information is shared seamlessly. This is vital, especially when traditional communication methods fail due to infrastructure damage. The ability to communicate effectively can mean the difference between life and death in these situations. The tech giant has also developed AI applications that can assist in locating survivors using data from social media and other digital footprints. You wouldn’t believe how advanced this tech is!

On the other side of the Atlantic, the EU is providing funding and support for AI initiatives that focus on disaster response. Their goal is clear: to foster innovations that can be rapidly deployed during emergencies. This includes AI-powered drones that can survey disaster sites, delivering critical data back to rescue teams on the ground. These drones are not just flying around aimlessly; they are equipped with sensors and cameras that can detect heat signatures, potentially locating trapped individuals beneath rubble. Can you imagine the hope that brings?

But let’s not forget the human element here. As these organizations implement these advanced technologies, they are also training local teams in Venezuela to effectively use AI tools. The idea is to empower communities, giving them the skills needed to respond to emergencies more efficiently. This is a game-changer. Local volunteers and rescue workers are becoming the first line of defense, armed with knowledge and technology that can save lives.

In conclusion, the combination of AI technology and human effort is creating a powerful alliance in the fight against the aftermath of earthquakes. The focus on quick, informed responses can dramatically alter the landscape of disaster management in Venezuela. As these efforts continue to evolve, one has to wonder: what other innovations lie ahead that could further revolutionize disaster response?

Kaynak: Orijinal Haber

UNICEF’in Raporu: 20 Milyon Çocuk Yapay Zekayı Benimsedi!

At least 20 million children across 10 countries have dived into the world of artificial intelligence, and guess what? They’re adopting it way fast

At least 20 million children across 10 countries have dived into the world of artificial intelligence, and guess what? They’re adopting it way faster than adults! The new analysis from UNICEF reveals that children are outpacing their older counterparts when it comes to using this technology. It’s a real eye-opener. More than 2 million kids, that’s one in every ten, said they turn to AI for advice on things that keep them up at night. Can you believe it?

UNICEF pointed out that kids are more exposed to AI systems, from how these systems are designed to the sneaky ways their personal data is used. Yet here’s the kicker: they have way less power to avoid or challenge these systems. Most AI governance just doesn’t prioritize children at all. It’s pretty alarming, right? The agency emphasized that we’re just starting to understand how AI affects cognitive development, emotional dependency, and potential harm to young minds.

And it gets even more concerning. Kids themselves are expressing unease about AI technology. According to the analysis, a whopping one-third of children in the surveyed countries are worried about how AI is being used. Even scarier, about a quarter fear that their images or videos could be twisted into sexually explicit deepfakes. Yahu, think about that for a second! It’s a wild world out there, and many AI systems hitting the market are doing so with inadequate protections for our children. UNICEF called safety an afterthought, which is just unacceptable.

The agency is pushing for a new approach to global AI governance that embeds children’s rights into the conversation, particularly their right to safety and protection. This is a decisive moment, folks. The choices we make about AI today are going to shape the future for our kids. So, what’s going to happen next? Will we step up and ensure a safer digital landscape for them?

Kaynak: Orijinal Haber

AI-Driven Investments Skyrocket While Traditional Assets Stumble in Early 2026

As we hit the midway point of 2026, the global markets are anything but calm. A clear trend has emerged: investments connected to the physical expan

As we hit the midway point of 2026, the global markets are anything but calm. A clear trend has emerged: investments connected to the physical expansion of artificial intelligence (AI) have taken off like a rocket, while traditional safe havens for investors find themselves slipping and sliding. The backdrop? A volatile mix of conflict in the Middle East, political upheaval, and a spike in oil prices. Yet somehow, stock markets in several regions have still managed to hit fresh record highs.

Dan Coatsworth, the head of markets at AJ Bell, points out that companies benefiting from the AI spending frenzy were the stars of the first half of the year. You might be surprised to hear that Bitcoin has been a rollercoaster ride, as it turned out to be quite the shocker in trading. But the most jaw-dropping gains came from a rather unassuming part of the tech world—the firms producing memory chips. As demand for AI computing soared, colliding with tight supply, prices skyrocketed, dragging shares to new heights. SanDisk led the charge in the US market, racking up an astonishing gain of over 850% in just six months. Meanwhile, Western Digital, Micron Technology, and Seagate Technology all more than tripled in value—returns that would generally take years to achieve!

What’s driving this surge? It’s the massive need for high-speed memory and storage to train and operate AI systems as tech giants race to expand their data centers. Other US stocks riding this AI wave include Intel, Dell, Advanced Micro Devices (AMD), and Applied Materials, all of which have seen rises between 150% and 280% year to date. The excitement has also spilled over into emerging markets, with Asian chipmakers like TSMC and SK Hynix playing a pivotal role. South Korea’s KOSPI has doubled in value, Japan’s CAC 40 rose 5%, while Germany’s Hang Seng took a bit of a hit, losing 6%.

But hold on, as the memory chip rally has started to lose steam recently, with many of the same names experiencing a sharp sell-off in the tech sector. It’s a brutal turn of events for yesterday’s darlings—an outcome that few could have predicted at the peak of the so-called “Magnificent 7s”. Companies like Rheinmetall and America’s Palantir have also faced declines, as the good news regarding rising military budgets appeared to be fully priced in, prompting investors to look elsewhere.

In short, the landscape of investments in 2026 has been a wild ride. While AI-related assets have flourished, other traditional investments have faltered, leaving many to wonder what’s coming next. Will the tech sector bounce back, or is this just the tip of the iceberg for a much bigger trend?

Kaynak: Orijinal Haber

Gulf Banks Embrace AI: Can They Safeguard Customer Data?

Gulf banks are diving headfirst into artificial intelligence, but there’s a catch: can they really keep control of their customers’ data? This que

Gulf banks are diving headfirst into artificial intelligence, but there’s a catch: can they really keep control of their customers’ data? This question looms large as financial institutions across the region increasingly adopt AI technologies, hoping to improve efficiency and customer service. But with great power comes great responsibility, and the stakes are high. Yahu, what’s at risk here? Well, everything from sensitive financial information to personal details about customers is on the line as banks ramp up their digital transformations.

The push for AI comes as Gulf banks aim to streamline operations and better understand customer behavior. They’re looking at AI for everything—from automating routine tasks to enhancing customer interactions. Sounds great, right? But hold on a minute. As banks integrate these advanced systems, they also need to ensure that customer data remains secure and private. The reality is that hackers and data breaches are real threats. So, how are banks planning to tackle this?

Experts say that while AI can provide significant benefits, it also introduces new vulnerabilities. For instance, when banks use AI for risk assessments or loan approvals, the algorithms must be trained on vast amounts of data. If that data isn’t properly managed or protected, it could fall into the wrong hands. “İşin aslı şu,” says one cybersecurity expert, “if banks want to harness AI’s potential, they must prioritize data governance and security measures.”

Let’s not forget the regulations. With new data protection laws popping up, banks must navigate a complex landscape of compliance. The GDPR in Europe, for example, has set a precedent that many Gulf nations are looking to emulate. This means banks need to be transparent about how they collect, use, and store customer data. “Hadi canım, bu işin altından kalkmak hiç de kolay değil,” comments a local banker, expressing the challenges ahead.

Despite the hurdles, many banks are optimistic. They believe that with the right safeguards in place, AI can revolutionize the banking experience for customers. Imagine chatting with a virtual assistant that knows your banking habits or getting instant loan approvals with just a few clicks. But, will customers trust banks with their data in this new AI-driven world? That’s the million-dollar question. “İnanır mısınız, bazı insanlar hâlâ bankalarına güvenmiyor,” says a customer at a local branch, reflecting a common sentiment.

As Gulf banks continue to explore the vast possibilities AI offers, the balance between innovation and data security will be crucial. Will they succeed in keeping their customers’ trust while embracing technological advancements? Only time will tell, but one thing’s for sure: the landscape of banking is changing, and all eyes are on how they handle this transition.

Kaynak: Orijinal Haber

40 Mayors Join Forces Against AI Data Centers: A Global Resistance

In a remarkable show of unity, 40 mayors from cities around the globe are banding together to combat the rapid expansion of artificial intelligence d

In a remarkable show of unity, 40 mayors from cities around the globe are banding together to combat the rapid expansion of artificial intelligence data centers. The surge of these facilities has raised alarm bells, with local leaders expressing deep concerns about their environmental impact and the potential disruption to their communities. This unprecedented coalition is stepping up to protect their cities from what they view as an unregulated rush toward AI dominance.

The mayors are not just concerned about the immediate effects of data centers; they are also worried about the long-term implications for the urban landscape. “It’s not just about the here and now,” says one mayor. “We need to think about the future of our cities. Will our residents be able to breathe clean air? Will our streets be congested with trucks delivering equipment and materials for these centers?” These questions echo across the globe as leaders gather to share their experiences and strategies.

In cities like San Francisco, New York, and London, the mayors have witnessed firsthand the strain that these data centers place on infrastructure. Water usage skyrockets, energy demands soar, and the ecological footprint can be devastating. “Vallahi, bu işin sonu iyi değil,” diyor bir başka belediye başkanı. “Biz halkımıza daha temiz bir çevre sunmak zorundayız, bu makinelerin değil.” The sentiment resonates strongly among the coalition, with an emphasis on sustainable development practices that prioritize the welfare of citizens over unchecked technological growth.

The movement has gained traction not just within city halls but in the public arena as well. Residents are rallying behind their leaders, demanding transparency and accountability from tech giants. “Bakın ne oldu? İnsanlar artık bu duruma kayıtsız kalmıyor,” diyor bir aktivist. Protests are becoming a common sight outside data center sites, where community members voice their opposition to the encroachment of corporate interests into their neighborhoods.

Furthermore, the mayors are calling for stricter regulations and guidelines that govern the establishment and operation of AI data centers. “Bizim söz hakkımız olmalı,” diyor bir diğer lider. “Kendi şehirlerimizin geleceği üzerinde kontrolü kaybetmemeliyiz.” They are advocating for policies that would ensure these facilities operate in a manner that is environmentally responsible and community-focused.

As this coalition continues to grow, many are left wondering what the future holds for AI data centers and the cities that host them. Will local governments succeed in imposing regulations that protect their citizens, or will corporate interests prevail? Gelişmeleri takip ediyoruz ve bu mücadelede neler olacağını görmek için sabırsızlanıyoruz…

Kaynak: Orijinal Haber

AWS Marketing Chief Julia White: Embrace Failure to Master AI

When Amazon Web Services’ marketing chief Julia White first dipped her toes into the world of artificial intelligence agents, she was filled with d

When Amazon Web Services’ marketing chief Julia White first dipped her toes into the world of artificial intelligence agents, she was filled with doubt about what lay ahead. Speaking at the VivaTech conference in Paris, she candidly shared her initial reservations. But after rolling up her sleeves and testing out the technology, a wave of relief washed over her. AI, she found, could take on the repetitive and mundane tasks that often bogged her down, making her work life significantly easier. And that realization is precisely what she believes all leaders need to grasp: getting hands-on with AI is crucial.

White emphasized that experimentation is the backbone of progress. Early adopters of AI saw productivity boosts of 10 to 30% when the technology was integrated into existing workflows. However, she pointed out that the real game changers emerged only when teams let go of old habits and embraced new methodologies. For instance, a task that previously took a team of people around three hours to complete can now be done in just 30 minutes, thanks to AI agents doing much of the heavy lifting. AWS, in fact, publishes over 5,000 new ages annually, showcasing the rapid advancement in this field.

Despite the remarkable efficiency gains AI offers, White was quick to clarify that it cannot replace the creative spark that humans bring. “AI isn’t a tastemaker,” she remarked. Instead, she described it as a “wonderful thought partner.” Marketers at AWS are encouraged to use AI as a sounding board rather than relying on it for creative judgment. This collaborative approach recently led to what White described as a breakthrough brand narrative for AWS, an emotional story that even brought some colleagues to tears.

However, here’s the kicker: to truly excel at AI, embracing failure is not just an option; it’s a necessity. White has introduced a “Be Brave” award within her team to honor efforts that didn’t pan out as planned. She openly shares her own missteps with her team, reinforcing the idea that “failure is necessary on the path to mastery.” She stressed, “We’re never going to get great at AI if we don’t try and fail.”

Back in the day, it was impractical to experiment freely without the fear of repercussions, but that has changed. “If you just read about it or hear about it but you don’t actually use it, you’re going to miss it,” White cautioned. “And if you don’t, you won’t be leading your teams effectively.”

So, where does this leave us? As AI continues to evolve, the real question is: are we ready to embrace failure as a stepping stone to mastery? It looks like the future of AI is not just bright, but filled with lessons waiting to be learned…

Kaynak: Orijinal Haber

KPMG Executive Reveals AI Adoption Struggles Amid Rapid Tech Advancement

Companies are moving quickly to adopt artificial intelligence (AI), but many still struggle to prove its worth, said Mathieu Wallich-Petit, Head of C

Companies are moving quickly to adopt artificial intelligence (AI), but many still struggle to prove its worth, said Mathieu Wallich-Petit, Head of Clients & Markets at KPMG France, during an interview with Euronews Next at the VivaTech event in Paris. According to a report published by the company in March, a staggering 95% of its clients have a strong AI strategy in place, and 64% have already witnessed tangible results from their technological investments. However, just a mere 8% can measure a clear return on investment. “Our clients do embed a real strategy in AI, but in reality, on the ground, there is still a big lag,” Wallich-Petit pointed out.

He emphasized that KPMG’s main role is to assist companies in bridging the gap between the rapid technological advancements and the slower pace of organizational adaptation. “What is amazing is that the pace of acceleration of the technology is really exponential,” he noted. Yet, the adoption rate within individual companies remains quite linear. According to the survey findings, only about 10% of KPMG clients have successfully embedded AI at scale in their operations.

In the insurance sector, companies are beginning to harness AI for purposes beyond just claims handling. “Before, it was very much about automation of claims, and now it’s very much end-to-end, from scoring new clients, pricing, and to customer service,” he explained. This shift highlights how businesses are increasingly seeing AI not just as a tool for efficiency, but as a robust strategy for growth and customer engagement.

KPMG also observed that companies are continuing to increase their AI budgets, as board members recognize the technology’s potential as a competitive advantage and a means to attract talent. Nevertheless, organizations are now more vigilant in assessing whether these investments can yield clear and rapid returns, according to Wallich-Petit. He believes that the focus during the transition to AI should center around the workforce. “My view is that it’s really about people, it’s not a question of technology,” he asserted. “Upskilling people, training people, is probably the most important strategic angle to make an AI strategy a success.”

For those companies still caught in between pilot projects and broader deployment, Wallich-Petit underscored the importance of embedding AI into daily business processes. “The magic recipe is very much to move from proof of concept, from piloting, to really embed into the process,” he stated. This transition also entails stronger governance, better data management, and increased training for employees, he added. “We always say it’s having people in the loop. I think it’s more than that. We need to have people driving with AI,” he emphasized.

Moreover, he pointed out that AI sovereignty is becoming an increasingly pressing issue for companies, especially as they depend on a limited number of powerful model providers. “The main theme is not to rely on only one model, but to have a diversity of models,” he advised. This concern has taken on greater significance as access to certain advanced AI models becomes entangled in geopolitics.

In May, KPMG and US-based AI company Anthropic announced a global alliance to integrate Claude into KPMG’s client delivery platform, thereby granting its global workforce access to the AI assistant. Just weeks later, Anthropic disclosed that it had been instructed by the US government to halt access to its Fable 5 and Mythos 5 models for any foreign nationals.

As the landscape of AI continues to evolve, one can only wonder how companies will adapt and what new challenges they may face in the near future.

Kaynak: Orijinal Haber