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Perplexity AI Gains Momentum by Addressing Business Demands

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Perplexity AI, an emerging player in the generative AI field, is expanding its partnerships with major companies including Samsung, Motorola, PayPal, and SoftBank, along with potential talks with Apple. Its collaboration with Samsung aims to integrate Perplexity’s AI into Galaxy devices, potentially replacing Google’s assistant, while also enhancing Motorola smartphones with AI features.

The startup’s strategy focuses on combining multiple large language models (LLMs) for optimized user experience. This allows it to deliver accurate, cited responses, appealing particularly to enterprise clients who prioritize transparency and reliability. Unlike competitors such as ChatGPT, which excels in creative tasks, Perplexity positions itself as a research-driven alternative. While still smaller in web traffic, Perplexity aims to leverage its unique business model and strong enterprise focus to capture significant high-value queries. Its technical flexibility and understanding of business needs are key to its growing relevance in the AI space.

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Unveiling the Secrets of AI Circumvention Tools

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Artificial intelligence, particularly through large language models like ChatGPT, significantly influences our engagement with information and creativity. While these tools offer immense benefits in various sectors, they also contain limitations such as ethical filters and content restrictions. Circumventing these limitations, often called bypassing, is not necessarily malicious; it can facilitate deeper understanding and transparency. Users, including journalists and researchers, utilize bypass tools like GPTinf to explore AI’s full capabilities or investigate biases. These tools can enhance education, journalism, and transparency, revealing how language models select narratives. Importantly, the intention behind using such tools matters. Responsible application promotes accountability rather than poses a threat. As AI’s role grows, collaboration among developers, lawmakers, and users is essential to create regulations that balance safety with the freedom of exploration, fostering a culture of openness. Ultimately, discussions around AI limitations should focus on ethical use, encouraging curiosity instead of fear.

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Google Pushes Back Launch of ‘Ask Photos’ AI Search Feature

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Google is postponing the rollout of its “Ask Photos” feature by approximately two weeks, as stated by product manager Jamie Aspinall on X. The delay is attributed to issues related to latency, quality, and overall user experience. While a few users currently have access, a revised version of the feature is set to be released soon to address these concerns. Announced last year at Google I/O, Ask Photos leverages Google’s Gemini AI model, enabling users to search their Google Photos libraries using natural language prompts. For instance, users can request selections like “one great photo from each of my National Park visits.” Google has not yet provided further comments regarding the delay.

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Gemini Now Alerts You to Changes Made by Collaborators in Your Google Drive Files

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Google has introduced a new AI-powered feature, “Catch me up,” for Google Drive, designed to help users track changes made to shared files while they were away. The feature utilizes Gemini, which detects alterations in Google Docs, Sheets, and Slides since the last time a user accessed a file. Users can see a summary of these changes through a new “Catch me up” button, alongside existing options for summarizing folders and learning about files. This summary appears in the Gemini side panel, similar to email summaries in Gmail. Additionally, a “catch me up activity indicator” allows users to check updates for specific files anytime. Currently, the feature is only available in English and may take up to 15 days to roll out to all users. For those who prefer not to use Gemini, it can be disabled in Gmail settings.

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Feed Temporarily Unavailable: Please Reach Out to the Owner.

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To export RSS feeds from Inoreader, users must subscribe to the Pro plan. If you own the feed, it is recommended that you upgrade to the Pro version to facilitate this process.

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Moments Lab Raises $24 Million to Transform Video Discovery Using Agentic AI

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Moments Lab, an AI company revolutionizing video management, has secured $24 million in funding, led by Oxx and including Orange Ventures, Kadmos, Supernova Invest, and Elaia Partners. The investment aims to boost its U.S. expansion and enhance its agentic AI platform, designed to transform vast video archives into searchable and monetizable assets. Central to the platform is MXT-2, an AI capable of understanding and generating contextual video metadata. This functionality allows users to search for content using natural language, making it accessible for non-technical users. Key features include instant video clipping, intelligent content classification, and multilingual support. Moments Lab caters to a range of clients, including major brands and media organizations, addressing complex content libraries and demands for quick, personalized outputs. Founded in 2016 by twin brothers Frederic and Phil Petitpont, Moments Lab is becoming a leader in the burgeoning field of agentic AI for video content discovery and management.

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Mailgo Unveils Next-Gen AI Cold Email Outreach Tool

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Mailgo is an innovative AI-powered tool launched on June 3, 2025, designed to address challenges in cold email outreach. Founded by experts from Google and Microsoft in 2024, Mailgo enhances deliverability, generates leads, and streamlines sales communication. It features an AI-powered lead finder to identify high-quality prospects, a built-in warm-up process to improve email deliverability, and a personalized email writer that creates tailored outreach messages. Additional capabilities include time zone optimization for email scheduling, a unified inbox for managing responses, and real-time analytics to monitor campaign performance. Lauded for its affordability and efficiency, Mailgo has quickly become the top app on Product Hunt. The development team, led by Zheng Li, emphasizes that Mailgo was created to meet the evolving needs of modern marketers. For more information, visit their official website and Product Hunt page.

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FDA Welcomes AI Advancements with Launch of New Tool ‘Elsa’

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The FDA has introduced “Elsa,” a generative AI tool aimed at enhancing its operations by improving efficiency for employees like scientific reviewers and investigators. Announced ahead of schedule and under budget, Elsa was developed following a successful pilot and is built within a secure GovCloud environment to safeguard sensitive information. The tool is utilized for various functions, including accelerating clinical protocol reviews, summarizing adverse event reports, and prioritizing inspections, ultimately streamlining regulatory decision-making. FDA Chief AI Officer Jeremy Walsh emphasized that Elsa marks the beginning of a new AI era, with plans for ongoing capability enhancements based on employee feedback. Despite its advantages, the implementation of AI in federal agencies like the FDA poses risks, including bias, privacy concerns, and potential overreliance on automated systems, highlighting the need for careful monitoring and responsible governance to balance innovation with public trust.

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DeepSeek Might Have Leveraged Google’s Gemini for Its Latest Model Training

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DeepSeek, a Chinese AI lab, recently updated its R1 reasoning model, which excels in math and coding benchmarks. However, the source of its training data remains undisclosed, leading to speculation that it may include outputs from Google’s Gemini AI. Developer Sam Paech claimed to have evidence suggesting that DeepSeek’s model, R1-0528, resembles Gemini outputs, while another anonymous developer noted its “thoughts” align with Gemini traces.

Previously, DeepSeek faced allegations of relying on data from competitors, notably OpenAI, leading to suspicions of unethical practices like distillation—using outputs from superior models. OpenAI indicated it had found evidence linking DeepSeek to this practice, prompting increased security measures in AI firms to deter data extraction.

Despite these controversies, experts acknowledge that AI outputs can overlap due to contamination from “AI slop” on the web, complicating the issue of replicating rivals’ models. Security enhancements from companies like OpenAI and Google aim to address these challenges.

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Is DeepSeek Using Gemini to Train Its AI? Here’s What We Know So Far

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The AI community is buzzing with allegations that Chinese lab DeepSeek may have leveraged outputs from Google’s AI model, Gemini, to train its new reasoning-focused version, R1-0528. This model achieved impressive results in math and coding without revealing its training data, prompting scrutiny. Developer Sam Paeach observed similarities in phrasing and logical processes between R1-0528 and Gemini 2.5 Pro, further raising suspicions. DeepSeek has faced similar accusations in the past regarding its V3 model, which referred to itself as “ChatGPT,” and allegations of using a distillation method to train its models with data from larger AIs, like those of OpenAI. The AI landscape is increasingly competitive, with firms tightening security measures, including identity verification and summarizing internal model processes, to safeguard their technologies. This controversy highlights the ongoing tensions in AI development, with significant financial stakes involved in maintaining proprietary knowledge.

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