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Human-generated data is.a renewable ressources Ilya Sutskever, a co-founder and former chief scientist of OpenAI claims, " Data is the fossil fuel of AI, and we used it all! " Is this aphorism true? This claim is made in the context of explaining that the limitation for AI (LLMs in particular) lies in the quality of data required to mimic intelligence—a limitation often referred to as the ‘entropy gap ’ . Entropy , in information theory, is the measure of uncertainty or unpredictability in a probabilistic system. In the context of AI, entropy quantifies the variability and richness of information within a dataset, reflecting how evenly distributed or diverse the data points are across possible outcomes. This diversity contributes to the uncertainty by ensuring the dataset encompasses a broad range of patterns or features for the model to learn from. I would define what I call the ‘entropy gap ’ as the difference between the variability and richness of patterns present in the training data and the variability required to mimic the complexity of human intelligence or real-world scenarios. In AI, this gap highlights a mismatch between the diversity and uncertainty present in the training data and the broader, more unpredictable diversity the model encounters when deployed in real-world environments. FBI Warns Gmail, Outlook, Apple Mail Users—Check 3 Things To Stop Attacks New Gmail Security Warning For 2.5 Billion—Second Attack Wave Incoming Stark Fed ‘Wake-Up Call’ Triggers $500 Billion Bitcoin And Crypto Price Rout The more significant this entropy gap, the less capable the model becomes in generalizing to unseen data, adapting to novel conditions, or achieving meaningful performance across diverse tasks. Bridging this gap requires not just more data but better-quality, contextually rich, and diverse datasets that reflect the complexity of the tasks AI is designed to perform. With this perspective in mind, saying ‘Data is the fossil fuel of AI, and we used it all!’ amounts to equating qualitative, contextually rich, and diverse datasets to a finite resource, akin to fossil fuels. This, however, is not true. Unlike fossil fuels, which are universally finite, the scarcity of quality data is highly context-dependent. In certain domains, such as rare disease research or specialized industrial applications, the availability of task-specific, quality data may be perceived as limited. Yet, this scarcity can often be addressed through methods like synthetic data generation, data augmentation, or transfer learning, which allow for the refinement or expansion of available data. It has to be acknowledged that these methods are not universally applicable. For instance, synthetic data may not fully capture the nuanced characteristics of real-world scenarios, and transfer learning can struggle to generalize across significantly different domains. Additionally, neither method adequately resolves issues of bias or fills gaps in highly specialized or ethically sensitive datasets, where precise and context-specific information is critical. These limitations underscore the importance of careful data curation and domain expertise in overcoming quality data scarcity. No matter what, human-generated data is inherently renewable resources for AI as it is continuously generated by human activity, technology, and the environment, unlike fossil fuels which are finite and non-renewable in all cases, regardless of circumstances. As the utility of human-generated data renewability depends on significant efforts in preprocessing, curation, and ensuring domain-specific relevance, raw data alone is often insufficient for AI and recent research demonstrates that synthetic data alone cannot serve as a replacement . Therefore the real challenge in AI related to data is not their depletion but the scarcity of useful, quality data for specific tasks. This creates bottlenecks that mimic the challenges of depletion but is not similar to it. Furthermore, what qualifies as 'useful' is highly task-specific and varies across domains, as it depends entirely on the context and goals of the AI system. Unlike the absolute scarcity of fossil fuels, the scarcity of useful data is a relative concept, shaped by the requirements of a particular application and the ability to preprocess, curate, or generate task-relevant datasets. A more apt aphorism might be this: data is the "drinking water" of AI. Not all data is immediately useful, just as not all water is potable. Raw data, like raw water, must undergo a process of purification to become valuable for AI systems. This purification involves data cleaning to remove noise and errors, labeling to add structure and meaning, and augmentation to enhance diversity and applicability. Only after these steps can data meet the specific quality and relevance standards required for AI applications, much like how water must be treated to become safe and effective for human consumption. This analogy underscores the importance of preparation and refinement in transforming raw data into a resource that fuels AI development. The real challenge in AI lies not in the renewability of data, which is continuously generated by design, but in transforming this data into useful, quality datasets to address scarcity. This process should include grappling with critical challenges such as identifying and mitigating biases, ensuring fairness, and navigating ethical considerations. Contextual specificity also plays a crucial role, as data that is relevant and useful in one domain may not be suitable for another. These complexities highlight the need for thoughtful curation, rigorous validation, and adherence to ethical principles in transforming raw data into a reliable foundation for AI systems—a process. When saying "Data is the fossil fuel of AI, and we used it all!" We make two mistakes: the first is underestimating or forgetting that there are indeed natural resources on which AI depends, which are truly fossil and therefore non-renewable. The second, arguably even more serious, is rendering invisible what creates the very conditions for the existence of the data AI needs to be trained on: humans. Data does not exist independently of human actions, decisions, or systems. Whether it's generated through explicit activities (e.g., social media posts) or implicitly (e.g., sensor data), humans are directly or indirectly responsible for creating the conditions for data generation. Since data originates from human activity, its existence and utility are contingent upon human inputs, creativity, and labor. As long as humans exist, so will data, including quality data. Data is not the ‘fossil fuel’ of AI, natural resources are, and hopefully human life won’t be. By definition, AI did not drink all the data, might not, but more importantly, should not, because of the natural resources that set a sustainable limitation we must take care of, to put Artificial Integrity over any Intelligence.

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Judge in Alex Jones' bankruptcy case orders new hearing on The Onion's bid for InfowarsAfter years of being a mobile-only series, Infold Games is launching the big new open world adventure Infinity Nikki on PC next month. The developer is celebrating the near fruition of several years of work with a short documentary looking back on Nikki's journey to a bigger new Miraland and way more platforms. Infinity Nikki's development journey began in December 2019, Infold Games' chief technology officer Fei Ge says, when the series' producer expressed interest in working on an open world Nikki game. "At that time the project was kept a secret," Fei says. "So we rented an additional workspace of about 50 to 60 square meters separate from our main office. Then we gradually began recruiting and assembling our initial team, working on ideas, laying the foundation and building the infrastructure. We continued in this way for over a year." It's common enough for developers to work on a game for multiple years before publicly announcing it—which Infold Games did with the first Infinity Nikki trailer two years later in 2022—but it does sound a little like this massive new direction for the series was at least a little secret from the rest of the team for a period of time, too. I've no doubt it was quite the undertaking for a formerly mobile gacha dress up series to expand into the whole open world adventure that Infinity Nikki has become. Infold details some parts of that journey in the rest of the development documentary: how its producer sculpted a miniature version of its giant Millewish Tree area out of clay as inspiration for developers in the office and how its musicians traveled to Hungary to incorporate certain instruments into the soundtrack. You'll also spot in the doc some of the external talent that Infold worked with: Kentaro "Tomiken" Tominaga, designer on The Legend of Zelda: Breath of the Wild, and Andrzej Dybowski, a concept artist from The Witcher 3. Those are some powerful resume namedrops to call in. As it goes for pre-release development docs, this is of course mostly fluff and getting to hear from developers all the parts of the game they were excited to work on. Though I will say I'm pretty psyched to see the Millewish tree area in-game at launch. Truly, nothing beats a really bigass tree with a village inside it. The biggest gaming news, reviews and hardware deals Keep up to date with the most important stories and the best deals, as picked by the PC Gamer team. Infinity Nikki has been referring to itself as "the coziest open-world game" and though I had some initial fears about the freemium gacha game style barging into cozy gaming, I am ultimately as weak as anyone else and have wound up rather excited about the possibility of Nikki leading the way for dress-up games on PC . We'll find out soon enough if my called shot has any merit, because Infinity Nikki is launching on December 5 on mobile, PS5, and PC through Epic Games or its standalone launcher. Oh, and not for nothing, but if you're a gacha pro who knows the ropes, make sure to bookmark my list of Infinity Nikki codes where I'll be logging the launch giveaways you'll be able to redeem as soon as they're announced.

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MLB shifts six 2025 Rays games to avoid weather issuesFamily of Lyle and Erik Menendez told a judge Monday they want the men freed from the life sentences they are serving for the shotgun murders of their parents, as their court case suffered a delay. The pair have been in prison since a blockbuster trial in the 1990s that became almost compulsory viewing for millions of Americans. Television audiences were riveted by the gruesome details of the slayings of Jose and Kitty Menendez at the family's luxury Beverly Hills mansion. The two men, who have spent more than three decades behind bars, had been due to appear by videolink at a hearing in Los Angeles, their first court appearance in 28 years as a campaign to set them free gathers pace. But technical difficulties scuppered the appearance and the hearing was pushed back to the end of January. Nevertheless, Judge Michael Jesic called the two men's elderly aunts to the stand to hear them plead for the brothers to be freed. "I would like to be able to hug them and see them," Jose Menendez's older sister Terry Baralt, 85, said. "I would like them to come home." Kitty's sister, Joan Vander Molen, echoed that. "No child should go through what Erik and Lyle went through," she said. "They never knew if tonight will be the night when they would be raped." Prosecutors painted the crime as a cold-hearted bid by the then-young men -- Lyle was 21 and Erik was 18 -- to get their hands on their parents' $14 million fortune. But their attorneys described the 1989 killings as an act of desperate self-defense by young men subjected to years of sexual abuse and psychological violence at the hands of an abusive father and a complicit mother. The case saw a huge surge of renewed interest this year with the release of the Netflix hit "Monsters: The Lyle and Erik Menendez Story." The hearing comes after a campaign to secure their release, supported by Kim Kardashian and other celebrities. "Set them free before the Holidays!" wrote Tammi Menendez, Erik's wife, on social media last week. Public interest was such that the court held a lottery for the 16 seats in the public gallery. Nick Bonanno, a former high school classmate of Erik's, was the first to arrive at the court, taking his place at the head of the line at 4:30 am (1230 GMT). More from this section "I wanted to show support to... Eric and Lyle," he told AFP ahead of the hearing. "It's all about supporting and healing, not just for the families, but for us as a culture." Elena Gordon, 43, said she wanted "to witness a part of our local history." The hearing was intended as a starting point for lawyers working on three routes to free Erik Menendez, 53, and Lyle Menendez, 56. Attorney Mark Geragos has filed a writ of habeas corpus, an attempt to effectively vacate the brothers' first-degree murder conviction, which could free the brothers immediately. Another route is an effort to get the men re-sentenced on the same conviction, which would open the way for them to request parole. Finally, Geragos has submitted a clemency request to California Governor Gavin Newsom. Journalist Robert Rand, who wrote a book about the case, and who is in regular touch with the brothers, said the family was optimistic. But, he said, no one was expecting any quick fixes. "They're hopeful," he said. "They don't know what's going to happen. "I believe this could take much longer than was originally anticipated. It could be six months, could be eight months, could be a year, but eventually they will get out." With excitement over the case near fever pitch, tourists are regularly making pilgrimages to the Beverly Hills home where the killings took place. Australian Christian Hannah, who was born almost two decades after the double murders, made sure the home was a stop on his tour of celebrity hotspots, because of his fascination with the Netflix show. "It's really awesome seeing it in person," he told AFP last week. "It's just because you see it on TV and you see it in person, just feels really cool." pr-hg/amz/jgc