Category: Artificial intelligence

October 1, 2025
Grokipedia: Elon Musk’s Unique Take on Wikipedia
Key Takeaways
1. Elon Musk criticizes Wikipedia for being biased and has urged a boycott of the platform.
2. Musk is developing a new online encyclopedia called Grokipedia to support his AI project, xAI.
3. Grokipedia aims to provide a significant improvement over Wikipedia and assist in understanding the universe.
4. Musk has referred to Wikipedia as “Wokepedia” and believes it propagates legacy media biases.
5. The AI chatbot Grok will utilize Grokipedia to analyze and improve the accuracy of information on Wikipedia pages.
Elon Musk has publicly voiced his critiques of Wikipedia for a long time and has even urged people to boycott it. It seems that the influential tech mogul is now in the process of creating his own version of the online encyclopedia, which he plans to name Grokipedia. Musk hasn’t provided any additional information, except to say that Grokipedia will assist xAI in grasping the universe better.
Musk’s Response to Wikipedia Bias
In reply to a tweet from David Sacks, a tech entrepreneur and investor, who described Wikipedia as “hopelessly biased,” Musk revealed that his xAI team is working on what he refers to as a “massive improvement over Wikipedia.” This new project, Grokipedia, is intended to be crucial for xAI as it aims to decode the mysteries of the universe. However, details about Grokipedia’s current development stage and its expected launch remain uncertain.
Dislike for Wikipedia
Elon Musk has repeatedly expressed his negative opinions about Wikipedia, even labeling it “Wokepedia” and calling for its funding to be cut. Earlier this year, he argued that the site serves as an “extension of legacy media propaganda,” particularly when it reported that a controversial gesture he made at the Trump inauguration was “interpreted by many as a Nazi or a fascist Roman salute.”
Insights on xAI and Grokipedia
Regarding xAI, Musk discussed his AI chatbot Grok during the All-In Summit 2025 in early September and mentioned Grokipedia. He explained that Grok is designed to analyze a Wikipedia page, utilizing significant inference computing to discern what information is correct or incorrect and what might be lacking. Furthermore, it has the ability to rewrite the page and incorporate the missing information.
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Tags: Elon Musk, xAI
October 1, 2025
Orange Pi Launches Compact AI System for Local Use
Key Takeaways
1. The AI Studio Pro is designed specifically for artificial intelligence, featuring two Huawei Ascend 310 processors and achieving 352 TOPS of AI power.
2. It allows AI models to run locally, enhancing data security by reducing reliance on cloud computing.
3. The device offers 96 or 192 GB of LPDDR4X RAM but lacks HDMI and USB-A ports, providing only one USB 4 port.
4. It is intended as a specialized tool for various sectors, measuring 207.7 x 132.6 x 80 mm, and currently runs on Linux with future Windows support anticipated.
5. Priced starting at about $1,900, it is currently only available in China, requiring import for users outside the country.
Orange Pi makes computer systems that aren’t really for regular users. Their latest product, the AI Studio Pro, is a compact PC designed specifically for artificial intelligence. This model features two Huawei Ascend 310 processors. The emphasis here isn’t just on traditional CPU or graphics capabilities, but mainly on AI power, which is rated at 352 TOPS. To give you a clearer idea: the NPUs found in today’s Intel or AMD APUs typically achieve only double-digit TOPS, while modern GPUs reach into the four-digit range. This level of performance allows AI models to run locally, not just relying on the cloud, which is good for data security. It can be used in various settings, including government, private, and industrial sectors.
Memory and Connectivity
The AI Studio Pro comes with either 96 or 192 GB of LPDDR4X RAM. However, it does not have HDMI and USB-A ports, offering just one USB 4 port instead. This device is more of a specialized tool, intended to complement other systems rather than function as a standalone PC. Measuring at 207.7 x 132.6 x 80 millimeters, it currently runs on Linux, although Windows support is anticipated in the future. Power is connected through a round plug, and it features colorful lighting.
Availability and Pricing
In China, the system is priced starting at about $1,900. It isn’t officially on sale outside of China right now, so if you’re elsewhere, importing it directly might be your best option.
October 1, 2025
OpenAI Unveils Sora 2: Real Physics in AI Videos with User Cameos
Key Takeaways
1. Launch of Sora 2: OpenAI’s new flagship model, Sora 2, enhances video and audio generation with realistic physics and synchronized sound effects, launching on September 30, 2025, in the U.S. and Canada.
2. Advancement in World Simulation: Sora 2 significantly improves world simulation, depicting plausible scenarios and complex actions accurately, moving beyond previous models’ limitations.
3. User Integration Features: Users can upload their own videos and audio to create personalized scenes, incorporating elements like friends and pets with high accuracy.
4. Focus on Creation: The Sora app prioritizes user creation over engagement, with features like customizable feeds, daily limits for teen accounts, and enhanced human moderation to prevent abuse.
5. Future Plans: OpenAI aims to develop general-purpose world simulators and advanced robotics, with Sora 2 serving as a foundation for better understanding and interacting with the physical world.
OpenAI has revealed its new flagship model, Sora 2, aimed at enhancing video and audio generation, marking a significant advancement in AI-driven content creation. This updated model features more realistic physics, improved controllability, and introduces synchronized dialogue along with environmental sound effects, providing a deeper level of immersion for AI-generated media. Sora 2 is being launched together with a new social application called Sora, which seeks to change the way individuals engage with AI-generated content. The launch starts today, September 30, 2025, in both the United States and Canada.
Evolution of Generative Video
The original Sora model, which was released in early 2024, is seen by OpenAI as a crucial milestone for generative video, akin to the influence of GPT-1 on natural language processing. In comparison, Sora 2 is described as achieving a “GPT-3.5 moment” for video, establishing a new standard for AI’s grasp of physical reality and world simulation.
Enhanced World Simulation
OpenAI claims that Sora 2 signifies a significant leap in “world simulation” abilities. While earlier models often distorted reality to comply with a prompt, Sora 2 aims to depict plausible scenarios, such as misses and rebounds in basketball, instead of just moving objects around to fit the storyline. The model is now capable of rendering complex scenarios that previously challenged older systems, such as Olympic-level gymnastics, precise water backflips that consider buoyancy and rigidity, or even a triple axel with a cat hanging on. These improvements extend to the audio realm as well, with Sora 2 creating background soundscapes, synchronized dialogue, and sound effects that perfectly align with the visual action, adding a new layer of authenticity.
Unique Features for Users
One standout feature allows users to “upload yourself.” By recording a short video and audio clip, Sora 2 can integrate these elements (along with friends, pets, and real-world objects) into generated scenes with high accuracy in visuals and voice.
To showcase the capabilities of Sora 2, OpenAI is introducing a new iOS application, Sora. This app lets users create and remix short videos, explore community-generated content in a customizable feed, and participate in AI-generated scenes using the “cameos” feature. Cameos require a quick verification process for ensuring user control and consent, with options for privacy and content removal.
Focus on Creation
OpenAI emphasizes that the new Sora app is designed with a focus on creation rather than maximizing engagement. The default feed highlights users you follow and content that might inspire your own creations; the company mentions it is not optimizing for time spent. Accounts for teens come with daily feed-view limits and stricter cameo permissions, while parental controls (accessible through ChatGPT) provide options to disable algorithmic personalization or limit infinite scrolling. Additionally, OpenAI is enhancing human moderation to combat bullying and other abuse concerns.
Sora 2 is launching today in the U.S. and Canada, with intentions to expand to more regions. The app will initially be invite-only, promoting collaborative use among friends. The model is free to use at first, with “generous limits,” subject to computational constraints. ChatGPT Pro users can access the high-quality Sora 2 Pro model in advance via ChatGPT, with support in the Sora app coming soon. OpenAI also plans to release Sora 2 via API for wider integration. Users will continue to have access to content generated with Sora 1 Turbo in their libraries.
OpenAI sees Sora 2 as a crucial step toward developing general-purpose world simulators and, ultimately, advanced robotics. The company views enhancements in video-native AI models as a pathway not only for creative tools but also for systems capable of better understanding, interacting with, and eventually existing within the physical world.
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Tags: AI-Generated Content, OpenAI, Sora 2
September 30, 2025
Anthropic Claude Sonnet 4.5 AI Enhances Programming Skills
Key Takeaways
1. Claude Sonnet 4.5 demonstrates strong performance on AI coding benchmarks like SWE-bench and Terminal-Bench, including generating a functional clone of a website independently.
2. The AI excels in responding to queries in finance, law, medicine, and STEM but still receives low grades (C to D) for its performance in these areas.
3. Claude Sonnet 4.5 has the lowest success rate for prompt injection attacks among tested AI systems, indicating better security against malicious activities.
4. User experience may be affected by the model’s reduced engagement in discussions about spirituality and a decline in self-positivity, leading to more monotonous interactions.
5. Users can access Claude Sonnet 4.5 via a mobile app or Anthropic’s website, with practical applications like summarizing and transcribing meetings.
Anthropic has introduced Claude Sonnet 4.5, its newest AI that boasts enhanced coding capabilities meant to assist software developers in creating applications.
Performance on AI Benchmarks
Sonnet 4.5 shows impressive results on various significant AI coding assessments, such as SWE-bench and Terminal-Bench. This AI can effectively utilize computer tools to independently accomplish tasks, as demonstrated by its remarkable performance in the OSWorld benchmark, where it successfully generated a functional clone of the claude.ai website all by itself.
Field-Specific Abilities
With its advanced capabilities, the AI can respond to queries in several sectors like finance, law, medicine, and STEM with greater efficiency than previous Anthropic models. However, Claude Sonnet 4.5 only achieves grades ranging from C to D when tackling these types of inquiries. Additionally, it struggles with visual reasoning challenges during the MMMU benchmark tests compared to other AI systems.
Security Concerns and User Experience
Those with malicious intent might prefer different AI systems for activities such as prompt injection attacks, as Sonnet 4.5 has recorded the lowest success rate among all tested AI models.
For users who enjoy lively AI interactions, the latest version of Claude may come as a letdown due to its reduced tendency to discuss spirituality. Furthermore, the model shows a decline in self-positivity, which results in more monotonous conversations.
If you’re keen on engaging with Claude Sonnet 4.5, you can download the app for mobile devices here or visit Anthropic’s website to access the AI. For those who want to utilize AI in practical scenarios, a Plaud Note can be employed to have Claude summarize and transcribe stand-up meetings.
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Tags: Anthropic
September 30, 2025
Apple Intelligence Update Empowers SmartGym and VLLO Features
Key Takeaways
1. Apple introduced the Foundation Models framework as part of Apple Intelligence, enabling developers to use large language models directly on devices.
2. The framework emphasizes user privacy and offline functionality, with inference done at no cost to reduce server dependency.
3. Early feedback from developers highlights impressive use cases, such as journaling prompts in Stoic and scientific explanations in CellWalk.
4. The framework supports various app categories, including health (SmartGym), education (CellWalk), and productivity tools (Stuff, VLLO).
5. Foundation Models is integrated with Swift and offers beta support for nine languages, including English, French, and Japanese.
Apple has introduced its Foundation Models framework, which is an essential component of Apple Intelligence, alongside the launch of iOS 26, iPadOS 26, and macOS 26 this month. The company claims that this framework allows developers to incorporate large language models directly on devices, opening up new functionalities while maintaining user privacy and ensuring that apps can work offline. Furthermore, Apple mentions that inference is done at no cost, minimizing the reliance on server infrastructure.
Adoption and Feedback
Susan Prescott, who is Apple’s vice president of Worldwide Developer Relations, mentioned that early uptake has been impressive. “From creating journaling prompts that ignite creativity in Stoic, to providing conversational explanations of scientific terms in CellWalk, it’s amazing to witness the new powerful capabilities that are already improving the applications people utilize each day,” she stated.
Examples Across Categories
Apple showcased various examples spanning different app categories. In the health and fitness realm, SmartGym supposedly allows users to articulate their workouts in everyday language, transforming them into structured routines, while Stoic offers journaling prompts based on recent entries, all processed on the device. Other applications such as SwingVision, 7 Minute Workout, Gratitude, and Train Fitness are reportedly offering personalized coaching and summaries through this framework.
Educational and Creative Applications
Educational apps like CellWalk, Grammo, and Platzi are said to give conversational explanations of scientific or grammatical concepts, generate new practice questions, or respond to lesson-specific inquiries. Additionally, productivity and creative tools such as Stuff and VLLO are claimed to take advantage of task automation and video editing suggestions that are powered by Apple Intelligence.
Apple asserts that the Foundation Models framework is closely integrated with Swift, offering guided generation and tool calling. It is currently available on devices compatible with Apple Intelligence, with beta support for nine languages, which include English, French, German, Japanese, and simplified Chinese.
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Tags: iOS 26, on-device AI
September 30, 2025
Gartner Forecast: AI Providers Face Pressure as GenAI Becomes Standard
Key Takeaways
1. Tech companies must demonstrate clear business advantages to succeed in the AI landscape.
2. Generative AI features will become standard in software solutions within 36 months.
3. Less than 20% of GenAI initiatives are expected to deliver their anticipated business value by 2026.
4. Product managers need to focus on solutions that connect to key business initiatives, not just use cases.
5. Adapting strategy and perspective is essential for staying competitive in the fast-evolving AI market.
The rise of artificial intelligence (AI) is changing the tech industry in a big way. According to a recent report from analyst firm Gartner called “The AI Vendor Race,” it is not enough anymore for tech companies to just provide an AI tool. They must show clear business advantages to thrive in this fast-changing landscape.
A Fast-Paced Market
The market is evolving swiftly: the benefits of generative AI (GenAI) are fading faster than in previous innovation periods. Gartner forecasts that within 36 months, GenAI features will become a standard requirement for all software solutions. This shift will have significant impacts on the industry.
Anthony Bradley, who is the Group Vice President at Gartner, emphasizes:
“The AI vendor race isn’t just one race with a clear end point, but a series of overlapping contests.”
The Pressure on Vendors
Tech vendors are under immense pressure to market AI not merely as an add-on but as a genuine solution to real-world issues. Gartner cautions that by 2026, less than 20% of GenAI initiatives will meet their expected business value.
To bridge this gap, product managers need to transition from a functional, purely use-case-driven mindset to solutions that connect directly to essential business initiatives. Those who fail to adapt risk becoming irrelevant in the AI competition.
The Need for Adaptation
In this rapidly evolving environment, staying ahead requires more than just keeping up with technology; it demands a shift in perspective and strategy. The stakes are high, and the ability to show tangible results will be crucial for success in the future of AI.
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Tags: Generative AI
September 29, 2025
Gneuton’s Waste Heat Water Purification for AI Data Centers 2026
Key Takeaways
1. Gneuton has launched a thermal distillation system that purifies water using waste heat from gas turbine-powered AI data centers, enhancing efficiency and sustainability.
2. The system captures excess heat from gas turbines to operate a closed distillation process, making it sustainable and carbon-neutral without needing outside energy.
3. Gneuton’s technology features a modular and scalable design, capable of producing millions of gallons of purified water per year, potentially lowering costs and generating income for data centers.
4. CEO Brad Martineau envisions transforming AI infrastructure into a net-positive source of fresh water, particularly for ecosystems facing shortages, focusing on regenerative technologies.
5. Gneuton’s patented technology is set for commercial pilots in key AI centers across North America, Europe, and Asia within six months, and can also be adapted for other industrial heat sources.
Gneuton, based in Pittsburgh, Pennsylvania, has launched a new thermal distillation system that purifies water using waste heat generated from gas turbine-powered AI data centers. On September 22, 2025, the company introduced a patented method that turns excess heat from gas turbines into clean, drinkable water, enhancing both efficiency and sustainability on a grand scale.
Water Needs in AI Centers
As stated in the company’s press release, AI data centers, especially those utilizing efficient gas turbines, are using significant amounts of water for cooling and daily functions, a trend that is likely to grow as AI technology progresses. Gneuton has developed a system that captures leftover heat from turbines and employs it to operate a closed, efficient distillation process. This technology removes the need for outside energy sources and is touted as sustainable and carbon-neutral.
Modular and Scalable Design
The technology from Gneuton features modular designs that can easily be integrated into large data centers. It is scalable and reportedly capable of producing millions of gallons of purified water each year per installation. The system is crafted to lower water expenses for data centers, and it might even allow them to generate income by selling water or credits.
CEO Brad Martineau expressed, “At Gneuton, our goal is to change AI infrastructure from one of the world’s biggest consumers of fresh water into significant net-positive sources of fresh water, particularly for ecosystems experiencing critical shortages. We think the future of AI should be regenerative, not extractive.” He continued, “That’s why we’re leading the way in technologies that reuse thermal waste and improve energy-water cycles to help replenish the environments on which AI relies.”
Global Patents and Future Plans
The firm claims its technology is patented worldwide and has undergone testing to ensure it operates reliably and remains unique. Although primarily intended for gas turbine-powered facilities, the system can also be modified for other industrial heat sources.
The company aims to begin its first commercial pilots within six months in key AI centers across North America, Europe, and Asia.
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Tags: AI Data Centers
September 26, 2025
Samsung Launches TRUEBench for AI Productivity Testing
Key Takeaways
1. TRUEBench aims to evaluate AI performance based on real-world office tasks rather than just basic question-and-answer formats.
2. The benchmark includes diverse assessments like document summarization, translation in twelve languages, and multi-step instructions, with a total of 2,485 test sets.
3. Samsung’s CTO emphasized the importance of rigorous testing standards to determine AI usefulness, combining human feedback and AI evaluations.
4. TRUEBench promotes transparency by providing public access to datasets, leaderboards, and performance statistics, allowing for model comparisons.
5. The benchmark has limitations, including potential bias in rule-making, the strict success criteria that may overlook valuable partial answers, and a focus on general business tasks over specialized fields.
AI benchmarks have had a hard time accurately capturing how people use these systems in real life. Many assessments still zero in on English-only question and answer tasks, which may look good on paper but don’t really show the range of activities that are part of everyday work. Samsung has recently introduced TRUEBench, short for Trustworthy Real-world Usage Evaluation Benchmark, aimed at assessing AI performance in ways that are more aligned with actual office tasks.
Expanding Beyond Simple Tasks
TRUEBench goes further than just basic trivia or single-prompt interactions. It evaluates models on document summarization, translation in twelve different languages, data analysis, and multi-step instructions that require the AI to keep context in mind. Samsung has put together 2,485 test sets divided into ten categories and 46 subcategories, with inputs varying from just a few characters to over twenty thousand. The aim is to replicate everything from quick commands to lengthy business reports.
Insights from Samsung’s CTO
Paul (Kyungwhoon) Cheun, who is the CTO of the DX Division at Samsung Electronics and also leads Samsung Research, remarked, “Samsung Research brings deep expertise and a competitive edge through its real-world AI experience. We expect TRUEBench to establish evaluation standards for productivity and solidify Samsung’s technological leadership.“
For a model to succeed, it has to satisfy every condition in a test, even the implicit ones that a reasonable person might expect, even if those are not clearly outlined. This strict all-or-nothing approach makes the results less forgiving, but it brings them closer to how one would determine if an output is truly useful. Samsung developed the rules by merging human feedback with AI evaluations. Human annotators created the initial conditions, the AI highlighted any contradictions or inconsistencies, and then humans revised the framework before finalizing it. Once completed, the evaluation could run on a larger scale through automated AI scoring.
Transparency in Performance
Additionally, Samsung has publicized the dataset, leaderboards, and output statistics via Hugging Face. This allows users to compare up to five models directly and see how their performances measure up. This transparency enables developers, researchers, and users to investigate the benchmark instead of just taking Samsung’s word for it.
However, the benchmark is not without flaws, as rule-making will always carry some level of bias. The requirement for complete success on every condition means that partial, yet still valuable, answers are marked as failures. While the language support is broader than many existing tests, performance will naturally vary, especially in languages where there isn’t enough training data. The test set also focuses more on general business tasks, so specialized fields like law, medicine, or scientific research may not be adequately represented.
Samsung Newsroom
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Tags: AI benchmarks, Samsung
September 26, 2025
Meta Launches AI Video Feed Vibes, Users Call It Infinite Slop
Key Takeaways
1. Meta introduced Vibes, a new short-form AI video feed available via the Meta AI app and website, allowing users to create clips from text prompts or remix existing videos.
2. User reactions on Reddit were largely critical, with concerns about the quality of content and the potential for the feature to be addictive.
3. Meta has partnered with Black Forest Labs, committing over $140 million to enhance its generative AI technology for Vibes.
4. The launch reflects Meta’s shifting strategy in AI, including the consolidation of research groups and hiring key personnel to drive innovation.
5. Privacy and moderation issues remain a significant concern, raising questions about how synthetic videos will be regulated and the authenticity of content.
Meta introduced Vibes on Thursday, September 25, 2025, a new short-form AI video feed. This feature is available through the Meta AI app and website, allowing users to make clips from text prompts or remix existing videos. CEO Mark Zuckerberg showcased the launch on Instagram by sharing several AI-generated clips.
User Reactions
However, the response from users on Reddit was mostly critical. One user, u/NowaVision, remarked, “I love how this would have been such a breakthrough a few years ago and now it just gets called out for the slop it is.” Another user, u/garden_speech, mentioned, “for every person calling it out as slop, I’m guessing there’s gonna be five of them addicted to scrolling through it within a few years.”
Concerns and Optimism
User u/Main-Company-5946 expressed doubts, stating, “They are going to design this thing to be as addictive as possible and it will destroy people’s minds.” On the other hand, some users saw a glimmer of potential in the feature, with u/VismoSofie commenting, “Someone is bound to use it in a cool way I suppose.”
Meta has teamed up with the German startup Black Forest Labs to support Vibes. As reported by Bloomberg, financial documents indicate that Meta has signed a contract exceeding $140 million, which includes $35 million this year and $105 million for the following year. Sifted also covered this deal, which underscores how Meta is depending on outside providers for certain parts of its generative AI technology.
Shifting Strategy
The launch timing highlights Meta’s changing strategy in AI. In June, the company merged its research groups into Meta Superintelligence Labs after several senior staff left. Later in July, Reuters mentioned that Meta hired a co-creator of ChatGPT as chief scientist to guide long-term research in this area. With nearly $165 billion in revenue last year, Meta is focusing on products like Vibes, image-to-video ad tools, and smart glasses to drive new growth.
Privacy and moderation issues are still a major concern. TechCrunch and others have previously highlighted how Meta’s AI-driven Discover feed has exposed private interactions, sparking questions about how synthetic videos will be regulated. Critics argue that with blurred lines of ownership and authenticity, it may become even more difficult to filter misleading or harmful content.
By launching Vibes as both a creative venture and part of its larger AI initiative, Meta is betting on synthetic content becoming a key element of its ecosystem. Whether users will accept it or persist in dismissing it as “infinite slop” could impact how fast the company can integrate Vibes into its strategic plan.
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Tags: AI, Meta
September 26, 2025
AI Models Ranked on User Privacy: A Data Protection Study
Key Takeaways
1. Mistral AI’s Le Chat is the top model for user privacy, gathering minimal data during training and use.
2. OpenAI’s ChatGPT ranks second, offering transparency and user options to control data usage.
3. Grok from xAI is third, noted for its clear data protection measures.
4. Meta AI, Google’s Gemini, and Microsoft’s Copilot score poorly due to extensive data collection and lack of opt-out options.
5. Only four out of nine evaluated models allow users to opt out of data use for training, highlighting a need for better privacy practices in AI.
The growing presence of artificial intelligence (AI) in our daily routines is accompanied by an increasing need for data privacy. Analysts at Incogni have recently assessed nine prominent Large Language Models (LLMs) to see which ones prioritize user privacy the most. Their evaluation is based on eleven criteria, grouped into three primary categories: data collection for training, transparency, and how data is used and shared.
Leading the Pack
Mistral AI’s Le Chat tops the list, according to Incogni. This model gathers relatively minimal user data, providing a highly efficient method for handling data during both training and active use. Close behind is OpenAI’s ChatGPT, which earns high marks for its transparency. Users have the option to indicate in their accounts whether their conversations can contribute to the model’s further development, and if they choose to deactivate history, their data remains unrecorded. In third place is Grok from xAI, also notable for its clear data protection measures.
At the Bottom
In contrast, Meta AI, Google’s Gemini, and Microsoft’s Copilot rank at the bottom. Incogni reports that these platforms gather large amounts of data while lacking clear options for users to opt out. The Chinese model DeepSeek also scored poorly, as these providers do not present straightforward ways for users to exclude their data from being used in training.
Evaluation Criteria
The analysis conducted by Incogni looked at platforms based on eleven criteria divided into three categories: data collection for training, transparency, and data use and sharing. The “data use and sharing” category made up 50% of the total score, with “transparency” accounting for 30% and “training data” 20%. Notably, out of the nine tools examined, only four allow users to actively opt out of having their data used for training purposes.
The findings suggest that data protection is not universally applied across the AI landscape. Therefore, it is crucial for users to understand the privacy policies of different providers, especially when dealing with sensitive information, confidential client details, or personal data. For those who prioritize data security, options like Le Chat, ChatGPT, and Grok offer reasonable solutions. However, truly data-efficient LLMs are likely to remain rare even in 2025.
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Tags: ChatGPT, data protection