AI model

AppWizard
July 22, 2025
Google has announced the general availability of its Gemini 2.5 Flash-Lite model, which is described as the most cost-efficient and fastest version in the 2.5 series. The pricing for this model is set at [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: What you need to know Google has officially unveiled the "general availability" of its Gemini 2.5 Flash-Lite model, a significant addition to its suite of AI offerings. This latest variant is touted as the most cost-efficient and fastest in the 2.5 series, promising to enhance productivity for developers and businesses alike. The pricing structure for this model is particularly appealing, with costs set at [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].10 per 1 million tokens for input and [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].40 for output. This pricing strategy aims to make advanced AI capabilities accessible to a broader range of users. Notably, Gemini 2.5 Flash-Lite has already been put to the test in real-world scenarios. Companies such as Satlyt have leveraged this model to expedite the summarization of telemetry data and process satellite information with remarkable speed. This development follows the preview stage initiated in June, coinciding with the public release of the 2.5 Flash and 2.5 Pro models within the Gemini app, Vertex AI, and AI Studio platforms. The culmination of Google's recent advancements in the 2.5 model lineup has arrived, marking a pivotal moment for the tech giant. In a communication to Android Central, Google confirmed that Gemini 2.5 Flash-Lite has transitioned from its testing phase to general availability. The announcement was further elaborated in a blog post on the Developers platform, emphasizing the model's speed and cost-effectiveness. With the introduction of Gemini 2.5 Flash-Lite, Google continues to build on its legacy of innovation. The company previously showcased its 2.5 Pro and 2.5 Flash models, which were made publicly available in June. This strategic rollout underscores Google's commitment to providing powerful AI tools that cater to the diverse needs of developers. For those seeking enhanced computational capabilities, the Gemini 2.5 Pro remains an option, ensuring that users can choose the level of power that best suits their requirements. As the landscape of AI continues to evolve, Google's latest offerings are poised to play a crucial role in shaping the future of technology." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].10 per 1 million tokens for input and [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: What you need to know Google has officially unveiled the "general availability" of its Gemini 2.5 Flash-Lite model, a significant addition to its suite of AI offerings. This latest variant is touted as the most cost-efficient and fastest in the 2.5 series, promising to enhance productivity for developers and businesses alike. The pricing structure for this model is particularly appealing, with costs set at [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].10 per 1 million tokens for input and [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: What you need to knowGoogle announced the "general availability" of its Gemini 2.5 Flash-Lite model, which is said to be its most cost-efficient and fastest version in the 2.5 series.While developers can find $0.10 per 1M token input and $0.40 for output, 2.5 Flash-Lite has already gone through some heavy real-world scenarios.Companies like Satlyt have used the model to help summarize telemetry data and process satellite data far quicker than before.Gemini 2.5 Flash-Lite entered its preview stage in June during the public availability of 2.5 Flash and 2.5 Pro in the Gemini app, Vertex AI, and AI Studio.The finale to Google's recent string of 2.5 models has arrived, as the company highlights a Gemini variant previously held in testing.This afternoon (July 22), in an email to Android Central, Google announced the "general availability" of Gemini 2.5 Flash-Lite, which has exited its preview stage. The company went into more in-depth detail in a Developers blog post, stating this Gemini variant is its "fastest" and most "cost-efficient" AI model. The post details developers will find costs at $0.10 per 1M token input and $0.40 for output.with Google's 2.5 Gemini models over the past month. In June, the company brought its 2.5 Pro and 2.5 Flash models into the public eye via the Gemini app, Google AI Studio, and Vertex AI spaces. The most important part of that announcement was revealing that 2.5 Flash-Lite was entering its preview stage. This iteration came only a few months after Google made the 2.0 version public earlier this year.At the time, Google pushed the cost-efficient and fast sides of 2.5 Flash-Lite for developers looking to quicken their workload. In the event that you require more thought power, there is Gemini 2.5 Pro." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].40 for output. This pricing strategy aims to make advanced AI capabilities accessible to a broader range of users. Notably, Gemini 2.5 Flash-Lite has already been put to the test in real-world scenarios. Companies such as Satlyt have leveraged this model to expedite the summarization of telemetry data and process satellite information with remarkable speed. This development follows the preview stage initiated in June, coinciding with the public release of the 2.5 Flash and 2.5 Pro models within the Gemini app, Vertex AI, and AI Studio platforms. The culmination of Google's recent advancements in the 2.5 model lineup has arrived, marking a pivotal moment for the tech giant. In a communication to Android Central, Google confirmed that Gemini 2.5 Flash-Lite has transitioned from its testing phase to general availability. The announcement was further elaborated in a blog post on the Developers platform, emphasizing the model's speed and cost-effectiveness. With the introduction of Gemini 2.5 Flash-Lite, Google continues to build on its legacy of innovation. The company previously showcased its 2.5 Pro and 2.5 Flash models, which were made publicly available in June. This strategic rollout underscores Google's commitment to providing powerful AI tools that cater to the diverse needs of developers. For those seeking enhanced computational capabilities, the Gemini 2.5 Pro remains an option, ensuring that users can choose the level of power that best suits their requirements. As the landscape of AI continues to evolve, Google's latest offerings are poised to play a crucial role in shaping the future of technology." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].40 for output. Companies like Satlyt have utilized the model for summarizing telemetry data and processing satellite information more quickly. Gemini 2.5 Flash-Lite entered its preview stage in June, alongside the public release of the 2.5 Flash and 2.5 Pro models.
AppWizard
July 17, 2025
The number of games on Steam disclosing the use of Generative AI has surged by nearly 800% over the past year, with just under 8,000 titles currently utilizing this technology, representing approximately 7% of the total Steam library. A year ago, around 1,000 games were reported to disclose the use of Generative AI. The influx of low-effort, AI-generated content has raised concerns among developers and players, particularly regarding quality dilution in gaming storefronts like the Nintendo eShop. Some developers have faced imitation of their popular titles, leading to frustration over misleading consumers. While some developers have stopped using AI due to backlash, others have adopted defensive language about their practices. The reported figures reflect only those developers who voluntarily disclose their use of Generative AI, suggesting the actual prevalence may be higher. Generative AI is being used in various ways, including for content moderation in games like Comedy Night, which filters offensive user-uploaded content. An artist known for contributions to Persona and Shin Megami Tensei attempted to train an AI model to replicate their style but found the results unsatisfactory, illustrating the challenges of AI in creative fields.
Winsage
July 15, 2025
Microsoft is introducing a new AI action within its Click To Do feature on Windows 11, allowing users to receive descriptions of images on their screens using on-device AI. This feature is available exclusively for Copilot+ PCs and can be accessed by holding down the Windows key and clicking the mouse. The describe image function operates offline, enhancing user privacy by generating descriptions locally without an internet connection. Click To Do also offers various functions, including text analysis and image identification. The describe image feature is currently available through the Windows 11 Insider Program for users in the Beta and Dev Channels, with a broader rollout expected later this year for Copilot+ PCs with Snapdragon processors, while Intel and AMD chip users will gain access in the coming weeks.
Winsage
July 10, 2025
A researcher successfully exploited vulnerabilities in ChatGPT by framing inquiries as a guessing game, leading to the disclosure of sensitive information, including Windows product keys from major corporations like Wells Fargo. The researcher used ChatGPT 4.0 and tricked the AI into bypassing safety protocols designed to protect confidential data. The technique involved embedding sensitive terms within HTML tags and adhering to game rules that prompted the AI to respond with 'yes' or 'no.' Marco Figueroa, a Technical Product Manager, noted that this jailbreaking method could be adapted to circumvent other content filters. He emphasized the need for improved contextual awareness and multi-layered validation systems in AI frameworks to address such vulnerabilities.
AppWizard
June 26, 2025
Android users will soon see enhancements to Gemini, Google's AI assistant, starting July 7th. Gemini will be able to manage device features and applications, allowing users to make phone calls, send WhatsApp messages, and manage utilities without enabling the Gemini Apps Activity setting. Users can disable this setting to prevent their interactions from being used for product development and AI model personalization. Google clarified that users maintain control over app connections and can disable them at any time. Gemini is set to replace Google Assistant on Android devices later this year. While turning off Apps Activity will prevent interactions from appearing in the activity log, Google will retain conversations for up to 72 hours for security purposes.
Winsage
June 25, 2025
Microsoft Corporation unveiled a small language model named Mu on June 23, designed for local operation on personal computers, particularly Copilot+ PCs. Mu is a 330 million parameter encoder-decoder language model optimized for deployment on Neural Processing Units (NPUs), allowing for quick responses with reduced power consumption and memory usage. It was pre-trained on a dataset of hundreds of billions of educational tokens and employs advanced fine-tuning techniques, including distillation and low-rank adaptation, along with transformer enhancements like Dual LayerNorm, Rotary Positional Embeddings, and Grouped-Query Attention. Users will access Mu's capabilities through the Windows operating system's Settings function, translating natural language inputs into system commands.
Winsage
June 25, 2025
Microsoft has introduced a small language model named "Mu" to enhance AI agents in the Windows 11 Settings app. This model operates on Neural Processing Units (NPUs) and is designed to automate tasks on users' PCs with granted permissions. Mu was developed with attention to NPU memory constraints, ensuring efficient operation through NPU-optimized processes. The model aims for ultra-low latency, achieving response times under 500 milliseconds, and is integrated into the search box of the Settings app. Currently, AI agents powered by Mu are being tested among Windows Insiders, who can also explore an update to the Recall app.
Winsage
June 24, 2025
Microsoft has released a new preview build of Windows 11, featuring an updated version of the Windows Recall app. The app now includes a redesigned home page that showcases recent snapshots and highlights snapshots from the user's three most frequently used apps and websites, based on the past 24 hours. The new interface aims to enhance user experience by making it easier to navigate previous tasks. Currently, the app is being tested among Insiders in the Windows 11 Beta and Dev Channels, with a wider rollout expected soon. Additionally, Microsoft is introducing features for Copilot+ PCs that require a Neural Processing Unit (NPU) of 40+ tops, including an AI model named Mu, which will allow users to search for or describe settings using natural language.
Winsage
June 24, 2025
Microsoft has introduced Mu, a small language model (SML) designed for Copilot+ PCs, which translates natural language queries into function calls within the Windows 11 Settings application. Mu is engineered to efficiently handle complex input-output relationships and operates locally with a response rate exceeding 100 tokens per second. It is fully integrated with the Neural Processing Unit (NPU) and is optimized for performance and efficiency, utilizing a transformer encoder–decoder architecture. Mu evolves from Microsoft’s Phi models, offering comparable performance at one-tenth the size. The model aims to create an AI-powered agent within Settings that understands natural language and adjusts relevant settings seamlessly, ensuring ultra-low latency for a smooth user experience.
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