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The studio behind Lies of P sees AI as the future of its games and fans are not responding well

Neowiz, creators of Lies of P, the popular soulslike that mixed the story of Pinocchio with gameplay reminiscent of Bloodborne, has confirmed that they are looking to hire an AI Creator. This would be a profile specialized in using generative artificial intelligence tools to create art that would later be integrated into their games. Something that has generated discontent among the community. Trying to fix their own mess In any case, Neowiz’s intention is not to directly use what the AI creates within their games. The intention is for the AI Creator to use tools like Stable Diffusion, Midjourney […]

Neowiz, creators of Lies of P, the popular soulslike that mixed the story of Pinocchio with gameplay reminiscent of Bloodborne, has confirmed that they are looking to hire an AI Creator. This would be a profile specialized in using generative artificial intelligence tools to create art that will later be integrated into their games. This has generated discontent among the community.

Trying to fix your own mess

In any case, Neowiz’s intention is not to directly use what the AI creates within its games. The intention is for the AI Creator to use tools like Stable Diffusion, Midjourney, or others that may appear in the future to create concept art, sketches, textures, or references that artists will then use to create the final game art. Another of its functions will be to “identify the latest trends in generative AI and provide usage guides for artificial intelligence tools for internal artists,” according to the job listing itself.

All of this has not served to quell the anger of the fans, which has led the company to provide explanations in international media, such as PC Gamer. Stating that the idea is to use AI only for pre-production phases and repetitive tasks, with the work of the AI Creator being confined to that of an independent team.

Although Lies of P 2 should have already passed the pre-production phase and theoretically should not have any trace of AI, future projects remain in doubt from this point onward. Especially because the vision of generative AI between Asian countries, which is much more understanding and permissive, and the West, which has a nearly outright rejection, is becoming increasingly evident. And companies still haven’t understood this. Therefore, it is to be expected that more Asian studies will introduce generative AI. If not promoting it openly.

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Peter Jackson has taken 15 years, but he has finally started on the movie we all expected him to make. It's about time!

Fifteen years ago, we were promised time and again that The Adventures of Tintin, directed by Steven Spielberg, would be the first of a trilogy whose second film would be led by Peter Jackson. And perhaps it didn’t earn what was expected (374 million dollars), but it wasn’t such a terrible result as to keep us all waiting for that sequel for so long. Now, finally, the director of The Lord of the Rings has started working on the script. With calm, you know? The Tintin of money If recently […]

Fifteen years ago, we were promised time and again that The Adventures of Tintin, directed by Steven Spielberg, would be the first of a trilogy, with the second film to be led by Peter Jackson. And while it may not have grossed what was expected ($374 million), it wasn’t such a terrible result as to keep us all waiting for that sequel for so long. Now, at last, the director of The Lord of the Rings has gotten to work on writing the script. With calm, you know?

The Tinkling of Money

If recently the director said he wanted to make this new adaptation, now he has finally dived into writing, as he declared at the Cannes festival: “I have been working with Fran on another Tintin script, I was writing in the hotel room. It’s a real and active thing, I’m going back to the world of Tintin and, in fact, I love it“. For loving it so much, you sure took your time, huh, Peter?

This is not the only project he is preparing: apparently, he wants to make a movie about Operation Chastise, an attack on German dams during World War II: “The true story is much more interesting than the movie made in 1955 on this subject. Much of this technology was highly classified and could not be revealed back then. It is an incredible story about invention and problem-solving to achieve a goal“. Well, he hasn’t picked up a camera in 11 years, at this point we are just hoping he doesn’t use AI for everything, right?

Well no: “I don’t dislike AI at all, for me it’s a special effect. The only critical thing is that you don’t use it to replace an actor or someone without their approval. Just like you can’t adapt a book that someone has written without having the rights”. Please, Peter, don’t turn Tintin into Frutinovelas. It’s not too much to ask.

AI makes its way into the Golden Globes as the bubble grows larger and larger

It is the trending topic everywhere: whether it will steal our jobs, whether it is very useful, whether it is the future, whether it is a bubble, whether I can no longer write an email without it… AI is present in society in one way or another, and refusing to even talk about it (whether you have an opinion for or against) will not make it disappear. However, steps like the one just taken by the Golden Globes are going to cause controversy for a very obvious reason: they are […]

It is the trending topic everywhere: whether it will steal our jobs, whether it is very useful, whether it is the future, whether it is a bubble, whether I can no longer write an email without it… AI is present in all of society, in one way or another, and refusing to even talk about it (whether you have an opinion for or against) will not make it disappear. However, steps like the one just taken by the Golden Globes are going to end up causing controversy for a very obvious reason: they are a step in the wrong direction. A path that could end with the Golden Globes themselves.

And the winner is…

The Golden Globes have just emerged from one controversy and have launched into another. This Thursday, the awards made it clear that using AI (or worse, Generative AI) will not automatically disqualify the films and series vying for the awards, which will be presented on January 10. What’s the condition? “Human creative direction, artistic judgment, and authorship must be fundamental in the production process”. Now let’s see how you demonstrate that.

In fact, the new award rules have provided guidance on how AI can be used, adding that “it should not replace the creative contributions of human talent as the center of everything”. In other words: if you are a creative but have used AI at some point to achieve something you were looking for, that’s fine. Whether this is a nod to the future or they are falling flat in their intention to be trendy will be seen soon.

That said, all movies and series that want to be eligible for awards must disclose, at least “any generative AI that has been used anywhere in the production of the work, including alterations made to the face or voice of a credited actor“. This does not disqualify them, but they need to be aware: according to the Golden Globes, AI can be used to enhance or support a performance that remains fundamentally human and under the creative control of the actor. In other words: any actor created with AI logically cannot be nominated for anything. The controversy is served.

Would you let your doctor be an AI? In the United States, 50% of health organizations believe so

According to a recent McKinsey survey for the fourth quarter of 2025, 50% of healthcare organizations in the United States have implemented generative artificial intelligence (genAI) solutions. This milestone marks the first time that adoption has reached 50% since McKinsey began tracking this trend in 2023. The survey covers a wide range of entities, including healthcare providers, insurers, and health technology and services companies. Artificial health The adoption of genAI is not only seen as a management tool; in fact, 54% of organizations use this technology for […]

According to a recent McKinsey survey for the fourth quarter of 2025, 50% of healthcare organizations in the United States have implemented generative artificial intelligence (genAI) solutions. This milestone marks the first time that adoption has reached 50% since McKinsey began tracking this trend in 2023. The survey covers a wide range of entities, including healthcare providers, insurers, and health technology and services companies.

Artificial Health

The adoption of genAI is not only seen as a tool for management; in fact, 54% of organizations use this technology to improve clinical productivity, making it the most common use case. Potential applications include assistance in patient care, medical literature search, note transcription, and support in diagnostics. This underscores a significant shift towards the integration of advanced technologies in the clinical field.

A revealing fact is that 87% of healthcare organizations believe that genAI can have a significant impact on improving administrative efficiency. Although many organizations are still in the pilot phase, those that have already implemented genAI expect to achieve a return on investment (ROI) of between 2 and 4 times, especially through labor cost reduction and increased staff productivity.

However, measuring ROI in the clinical field presents challenges. This makes initial acceptance by physicians and user adoption crucial. According to a recent AMA survey, it is essential to have clear training materials and solid clinical evidence to support the use of genAI, highlighting accuracy in diagnostics and the interpretation of medical images.

Claude AI surpasses OpenAI with a user-centered shopping experience

A recent study by Bizrate Insights reveals that only 7.2% of digital shoppers in the U.S. regularly use AI-based shopping tools. Despite this low percentage, generative AI platforms are actively exploring what experiences may resonate with consumers. An example of this is Claude AI from Anthropic, which has expanded its functionality to include integrations with services like Instacart, StubHub, and Uber Eats, thereby enhancing the user experience by automatically selecting relevant options. Claude AI’s approach not only offers a smoother experience, but […]

A recent study by Bizrate Insights reveals that only 7.2% of digital shoppers in the U.S. regularly use AI-based shopping tools. Despite this low percentage, generative AI platforms are actively exploring what experiences may resonate with consumers. An example of this is Claude AI from Anthropic, which has expanded its functionality to include integrations with services like Instacart, StubHub, and Uber Eats, thereby enhancing the user experience by automatically selecting relevant options.

The approach of Claude AI

Claude not only offers a smoother experience, but it also stands out for its focus on user utility, as it eliminates ads and paid placements. Instead of requiring users to mention specific apps in their queries, Claude automatically integrates relevant connectors. For example, if a user is looking for healthy lunch options, Claude can automatically present the integration of Uber Eats or TripAdvisor for nearby hotel options within a set budget. This methodology reinforces the idea that the selection is based on utility and not on monetization.

In contrast, OpenAI has taken a more commercial path, seeking revenue quickly instead of focusing on long-term user value. Its initial implementation of in-app purchase features was unsuccessful, leading to a pivot towards a model where purchases are made through third-party applications that integrate into the chatbot. Analysts warn that this strategy could erode consumer trust, as the prioritization of visibility and paid ranking could negatively impact the user experience.

This difference in approach could determine the future of the online shopping experience through artificial intelligence.

When it was celebrated that man won against AI: the chess game that changed the world

Everyone is talking about AI. Some believe it presents a new world where we can rest and let computers do everything for us (because, apparently, they still haven’t realized how the real world works), and others think it’s the end of times. In any case, and as Mafalda used to say, this is not the end, but the continuation of the beginning of society. Now we are surprised that a machine can create videos of Han Solo dancing a polka, but in 1996 the battle against the […]

Everyone is talking about AI. Some believe it presents a new world where we can rest and let computers do everything for us (because, apparently, they still haven’t figured out how the real world works), while others think it’s the end of times. In any case, and as Mafalda used to say, this is not the end, but the continuation of the beginning of society. Now we are surprised that a machine can create videos of Han Solo dancing a polka, but in 1996 the battle against AI was different: in front of a chessboard.

This love is blue like the sea, blue

In 1985, a group of students led by Feng-hsiung Hsu began developing, at Carnegie Mellon University, a computer designed exclusively to play chess called ChipTest, which later changed its name (when IBM bought the project) to Deep Thought, and finally to Deep Blue thanks to a contest in which its fans had to name the invention. And although everyone interested in it knows about its battle against Garry Kasparov in the mid-90s, the truth is that in 1989 there was another equally fierce battle that did not end well for the machine.

Deep Thought lost both games against the champion, and at IBM they couldn’t contain their frustration: Joel Benjamin, a Grandmaster, helped redesign it, convinced that it could defeat Kasparov. And so it was: on February 10, 1996, Deep Blue became the first computer capable of winning against a chess Grandmaster. However, the next day it lost. Humanity was not entirely lost. So much so that the AI did not win again (it did draw twice) and Kasparov emerged as the great victor of the contest by 4 to 2. The human race had demonstrated that a computer could not match a brain.

Until 1997, the year after, when they introduced improvements and learned from their mistakes. It is said that in those matches played between May 3 and May 11, Kasparov did not play well, but the machine did not understand the meaning of “playing well” or “being tired”: after 6 games, Deep Blue won 3.5 to 2.5. In total, the computer won two and the chess player only one. Enough to proclaim a new era for AI, which shortly after found no rival: there is no human capable of defeating a chess-specialized AI today, and the last recorded victory in an official match against a Grandmaster was, in fact, in 2005. Oops.

However, in these times where it seems you can write a prompt and have anything at your fingertips, it is the best moment to reclaim the brain, to know where each bishop can go, what moves the knight can make, what the pawn’s objective is. In other words, a classic game of chess, using your head instead of LLMs. Kasparov, by the way, is still alive at 63 and currently leads an online chess community (subscription-based, of course) called Kasparov Chess, where you can find everything from articles to interviews and podcasts. Who would have thought that years before proving that robots could beat us, Kasparov would end up using AI to earn some extra rubles?

The growing concern about indirect command injection attacks

In a world where artificial intelligence plays an increasingly crucial role in various sectors, Forcepoint has revealed the existence of ten new indirect prompt injection attacks that could compromise AI agents. These types of attacks emerge as a concerning threat, as they seek to manipulate the responses generated by AI systems through the injection of misleading or malicious messages during user interaction. New threats Indirect prompt injection attacks are a sophisticated technique in which an attacker can influence the output of AI without […]

In a world where artificial intelligence plays an increasingly crucial role in various sectors, Forcepoint has revealed the existence of ten new indirect prompt injection attacks that could compromise AI agents. These types of attacks emerge as a concerning threat, as they seek to manipulate the responses generated by AI systems by injecting misleading or malicious messages during user interaction.

New Threats

Indirect prompt injection attacks are a sophisticated technique in which an attacker can influence the output of AI without users being aware of the risk. This could lead to the generation of inappropriate content, bias in responses, or even the leakage of sensitive information. Forcepoint highlights that most of these attacks originate in collaboration and communication platforms, where users can interact directly or indirectly with AI models.

The addition of these techniques to the arsenal of cyber threats presents a considerable challenge not only for AI developers but also for the companies and users who place their trust in these technologies. As a result, it is essential for organizations to implement robust security measures and employ secure development practices to mitigate the risk of these attacks.

In addition to technical concerns, this new discovery highlights the need for ongoing education about cybersecurity among end users. With the increasing integration of AI into our daily lives, individuals must understand not only the benefits of these tools but also the risks associated with their misuse.

Forcepoint warns that defense against these threats cannot be merely reactive, but must be part of a proactive approach in the development and regulation of AI. Meanwhile, the debate intensifies regarding the responsibility of companies to ensure the security of their artificial intelligence systems against these new modes of attack.

Discover seamless commerce with Microsoft's new AI tools

Microsoft has launched AI Max, a tool designed to improve query matching and personalize ad delivery on the Copilot and Bing platforms. This launch represents a significant shift in how brands can interact with consumers, moving the focus from visibility of positions and clicks to being selected within AI-driven experiences. Transforming consumer interaction The new options allow advertisers to see how their brands appear in AI-generated responses and how their content is interpreted. This transformation is key as more and more interactions […]

Microsoft has launched AI Max, a tool designed to improve query matching and personalize ad delivery on the Copilot and Bing platforms. This launch represents a significant shift in how brands can interact with consumers, moving the focus from visibility of positions and clicks to being selected within AI-driven experiences.

Transforming Consumer Interaction

The new options allow advertisers to see how their brands appear in AI-generated responses and how their content is interpreted. This transformation is key as more and more interactions are taking place within AI interfaces, rather than traditional search result pages. With AI Max, ads can be directly integrated into AI interactions, offering greater relevance and conversion opportunities.

Additionally, Microsoft has introduced Offer Highlights, which highlight sales features such as free shipping in AI-guided conversations. These functionalities are designed to align with the way users ask questions and evaluate their options, providing a more user-friendly and consumer-centric experience.

To further facilitate purchasing, Microsoft has implemented improvements in Copilot Checkout, allowing users to complete transactions directly on the platform without needing to leave it. This approach reflects a trend towards embedded commerce, where purchasing decisions are made in the environment where the product is discovered, significantly reducing the opportunities for abandonment.

Finally, the company has added an AI-powered tool for audience generation, allowing advertisers to describe their ideal customer in simple language, automatically creating market segments. This innovation simplifies the process of setting up advertising campaigns, making advanced advertising more accessible to a wider variety of advertisers.

A serious security flaw exposes confidential data on the Lovable platform

A serious authorization vulnerability in the Lovable platform, a popular AI-powered app builder, has allowed unauthorized users to access sensitive data from numerous projects. According to reports, this critical flaw, classified as Broken Object Level Authorization, affects all projects created before November 2025, exposing confidential information that includes source code, database credentials, and customer interaction logs. Change your keys now This vulnerability occurs when an API grants access to objects without verifying whether the requesting user actually has the authorization to view them. Recent investigations […]

A serious authorization vulnerability in the platform Lovable, a popular AI-powered app builder, has allowed unauthorized users to access sensitive data from numerous projects. According to reports, this critical flaw, classified as Broken Object Level Authorization, affects all projects created before November 2025, exposing confidential information that includes source code, database credentials, and customer interaction logs.

Change your passwords now

This vulnerability occurs when an API grants access to objects without verifying whether the requesting user actually has the authorization to view them. Recent investigations have revealed that users with free accounts can make unauthenticated API calls to the platform and retrieve data from other users’ projects. Among the exposed information, database credentials and customer data have been found, linking organizations such as Connected Women in AI and Accenture, as well as employees of Nvidia and Microsoft.

The problem was reported to Lovable through HackerOne approximately 48 days before its public disclosure on March 3, 2026, but a patch has still not been implemented for older projects. Although the platform has applied fixes for new projects, the risk for existing applications remains critical, leaving many users vulnerable.

Experts warn users of old projects that they should urgently change their API keys and credentials, assuming that their information may have already been compromised. This situation highlights a recurring challenge in AI-native development platforms: security measures are often insufficient compared to the rapid deployment of new features, leaving early adopters of these technologies in a dangerous position.

Meta intensifies competition with TikTok thanks to its new marketing tools

Meta is intensifying its efforts to compete with TikTok in the fields of artificial intelligence and e-commerce, presenting new tools and features at the Shoptalk event recently held in Las Vegas. Among the new offerings is the implementation of affiliate advertising tools, similar to those offered by TikTok Shop, which will allow brands to measure the return on investment generated by sales driven by creators. Fighting against TikTok Shop Although some industry experts highlight the importance of these tools, there are brands that show resistance to adopting them, considering them less critical compared to methods […]

Meta is intensifying its efforts to compete with TikTok in the fields of artificial intelligence and e-commerce, presenting new tools and features at the Shoptalk event recently held in Las Vegas. Among the new offerings is the implementation of affiliate advertising tools, similar to those offered by TikTok Shop, which will allow brands to measure the return on investment generated by sales driven by creators.

Fighting against TikTok Shop

Although some industry experts highlight the importance of these tools, there are brands that show resistance to adopting them, considering them less critical compared to traditional advertising methods like paid advertising. Kevin Simonson, CEO of the marketing firm adMixt, pointed out that despite the growth of affiliate marketing, many brands still do not prioritize them in their strategies.

One of the most relevant features presented is the possibility for Instagram Reels to be shoppable. Creators can now tag products and affiliate links, which potentially increases their visibility and income opportunities. Additionally, Meta is testing affiliate experiences on Instagram with partners like Amazon and the e-commerce platform Shopee, aiming to enhance interaction between creators and brands.

Another great announcement was the integration of a new checkout system in its AI sales agent, in collaboration with companies like PayPal and Stripe, to simplify the purchasing process. This approach reflects an effort to reduce friction in the buying process and increase conversion rates.

However, despite the enthusiasm and innovations, some brands are still in the early stages of their catalog strategy and may take time to adopt these new features. As Meta moves forward in its efforts to capture a larger share of the e-commerce market, it remains to be seen how brands will respond to these new opportunities.