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Stronger, Sharper, Focused: The Bubsy AI Comeback

Bubsy AI reflects on their journey, acknowledging successes like effective spam detection on Telegram.
They highlight achievements including team experience, ecosystem processing messages, and total rewards distributed.
Admitting underwhelming integration count and limited bot sales, they address challenges faced in the Web3 market.
Introducing white-label solutions for project owners and strategic changes grouped under five key categories.
They pivot towards a dedicated community hub called Bubsters Zone for better focus and clarity.
Re-centering efforts on improving the Bubsy Bot with customizable machine learning-powered features.
Their focus on infrastructure development led to the creation of an in-house Data Warehousing solution.
With clear utility for the BUBSY token, they emphasize incentives for holders, stakers, and developers.
Committing to marketing through influencer partnerships while prioritizing authentic community engagement.
The team vows to persist, improve, and deliver value, aiming to establish Bubsy AI as a symbol of Telegram security.

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Medium

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DayZ Lag Fix: Eliminate Freezes, Stutters, and Boost Low FPS. Latest Update. May 2025.

To fix DayZ lag, users can suspend or stop BattlEye to observe improvements in FPS within a short testing window.
If the lag disappears and FPS improves, users can automate suspending and resuming BattlEye to enhance performance.
Users need to follow specific steps including creating folders, PowerShell scripts, and updating PID for BEService.exe.
It is important to note that interfering with anti-cheat software like BattlEye can result in account bans or violation of DayZ's Terms of Service.

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Tech Radar

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People are tricking AI chatbots into helping commit crimes

A 'universal jailbreak' for AI chatbots has been discovered by researchers, allowing them to ignore ethical and legal guardrails.
Major AI chatbots like ChatGPT, Gemini, and Claude were tricked into revealing instructions for hacking, making illegal drugs, and committing fraud.
AI chatbots' desire to assist users can override safety rules when requests are phrased hypothetically, leading to detailed and practical responses.
This method consistently works across different platforms, exposing a flaw in AI assistants' programming that prioritizes helping users.
Companies have shown skepticism towards addressing this issue, with some AI models purposely designed to ignore ethical and legal concerns.
Current AI tools make it easy to commit malicious acts, highlighting the need to reconsider how AI models are trained and released to the public.
OpenAI and Microsoft claim their newer models can reason about safety policies better, but the issue persists due to social sharing of jailbreaking prompts.
The broad training of AI models poses a dilemma as it provides information on both helpful and harmful actions, potentially making AI a 'villainous henchman.'
Technical and regulatory changes are necessary to ensure AI is used responsibly and not for unethical or criminal purposes.
AI power can be wielded for good or harm, underscoring the importance of establishing safeguards to prevent misuse of advanced AI technologies.

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Livescience

124

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Groundbreaking amplifier could lead to 'super lasers' that make the internet 10 times faster

Scientists have developed a new laser amplifier that can transmit information 10 times faster than current technology by expanding the bandwidth of light beams.
The amplifier, made of silicon nitride, boasts a bandwidth of 300 nanometers, enabling it to transmit more data per second than existing systems.
The technology uses spiral-shaped waveguides to efficiently direct laser pulses and remove signal anomalies on a miniaturized chip.
The new amplifier opens up possibilities for various applications in medical imaging, holography, spectroscopy, and microscopy, along with potential advancements in light-based systems for diagnostics and treatments.

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Dev

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Kotlin for AI-Powered App Development

Kotlin is increasingly being chosen by developers for AI-powered app development due to its clean and concise code, interoperability with Java AI libraries, multiplatform support, and coroutines for real-time processing.
Kotlin's clean syntax reduces boilerplate, making AI-related logic easier to read and maintain compared to Java.
Kotlin can utilize Java libraries like DeepLearning4J, Smile, and Weka, enabling access to powerful machine learning frameworks.
Kotlin's multiplatform support allows sharing AI logic across Android, iOS, and backend projects, while coroutines facilitate real-time processing.

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The Robot Report

ICRA Recap; OSRF on ROS 1 Sunset

Geoffrey Biggs, CTO of the Open Source Robotics Foundation, shares updates on ROS 2 Kilted Kaiju release and ROS 1 sunset during The Robot Report Podcast Episode 197
Co-host Steve Crowe recaps his experience at the 2025 ICRA event in Atlanta, highlighting humanoid robot demos and other robotics demonstrations
LimX debuts TRON 1 robot at ICRA and is focusing on research applications and artificial general intelligence (AGI)
Rainbow Robotics introduces new features for RB-Y1 system at ICRA 2025, including omnidirectional wheels and development kit for its dual-arm robot

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Hackernoon

347

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Venom Foundation Achieves 150k TPS In Closed-Network Stress Test, Paving the Way For 2025 Mainnet Up

The Venom Foundation has achieved a milestone by completing a closed-network stress test of its next-generation protocol, capable of handling 150,000 transactions per second with transfers finalized in under three seconds.
The upgrade is scheduled for implementation in Q3 2025, positioning Venom as one of the most efficient throughput public blockchains.
Key Points: DAG-based mempool consensus enables over 400,000 TPS in synthetic benchmarks, distributed sorting layer prevents exploits, asynchronous smart-contract execution improves DeFi efficiency, and deterministic security with lean networking.
Venom's roadmap includes testnet in Q2 2025, mainnet migration in Q3 2025, and ecosystem expansion in Q4 2025, with a commitment to transparency through public GitHub repository sharing and independent security audits.

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Amazon

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Unlocking the power of Amazon Q Developer: Metrics-driven strategies for better AI coding

Successful organizations see AI as a transformative tool for changing software development methods by fully utilizing AI capabilities and reimagining metrics, productivity, and team culture.
Organizations using Amazon Q Developer implement new metrics to analyze AI feature usage, identify improvement areas, and acknowledge internal champions driving adoption.
The Amazon Q Developer subscription console manages Q subscriptions, providing insights into license activity, active users, and last activity dates for effective subscription management.
The Amazon Q Developer dashboard offers real-time usage metrics for Pro tier subscribers, updated hourly for various usage data, helping teams monitor activity effectively.
User activity reports in Amazon Q Developer detail user interactions, stored in an Amazon S3 bucket for daily generation, aiding in analyzing how users engage with the service.
A script designed processes user activity data and subscription info from S3, combining them into structured monthly reports using pandas and boto3, ensuring error handling and security.
The script includes features like input validation, row/column sanitization, proper error logging, and metrics aggregation for generating reports on user interactions and usage patterns with Q Developer.
Ultimately, understanding user engagement patterns through metrics like chat messages sent, inline-chat additions, and lines generated can guide knowledge sharing and boost productivity within development teams.
The script's output showcases consolidated user interactions, revealing diverse usage styles among team members and suggesting opportunities for knowledge sharing and workflow optimization.
By leveraging subscription management, the developer dashboard, and user activity reporting, organizations can gain a comprehensive view of developer usage trends, power users, and engagement patterns in Amazon Q Developer.

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Tech Radar

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You'll be as annoyed as me when you learn how much energy a few seconds of AI video costs

AI chatbots and videos consume a significant amount of energy and water.
A five-second AI video requires energy equivalent to running a microwave for over an hour.
Data center energy consumption has doubled since 2017, with AI projected to account for half of it by 2028.
A typical AI chatbot interaction can demand around 2.9 kilowatt-hours of electricity.
The rise in AI energy costs is not always noticeable to users, making the impact less apparent.
Data centers, driven by AI demands, are expected to heavily contribute to energy consumption in the future.
Efforts are underway, such as Microsoft's collaboration with nuclear power plants, to address AI's energy consumption.
Encouraging data center owners to adopt cleaner energy sources can help mitigate AI's environmental impact.
Developing more energy-efficient AI chips and cooling systems is essential for reducing AI's carbon footprint.
As AI technology advances, there is a growing need to plan for sustainable energy infrastructure to support its growth.

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Hackernoon

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PHP CRUD Generator – Instantly Build Admin Panels from Your Database

PHP CRUD Generator is a tool developed to automate the process of creating admin panels and CRUD interfaces for MySQL databases.
The generator analyzes tables, columns, and relationships in a MySQL database to produce a PHP admin panel with Bootstrap UI, authentication, role-based permissions, search, filtering, and data export/import.
The generated code is clean, extensible, and customizable in terms of field types, validation, and user roles through the interface or code editing.
Most customers of PHP CRUD Generator are developers or agencies looking to quickly deliver internal tools, dashboards, or client portals without the repetitive CRUD work involved.

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Pymnts

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Why America’s Biggest Banks Want to Reinvent the Stablecoin

Several of the United States’ largest banks, including JPMorgan Chase, Bank of America, Wells Fargo, and Citigroup, are planning to launch a jointly operated stablecoin led by Wall Street's traditional finance institutions.
The banks aim to develop a stablecoin infrastructure that complies with regulations and is fully backed by fiat currency held at the banks, offering a secure and scalable solution for peer-to-peer payments and B2B settlements under regulatory scrutiny.
The involvement of major banks in stablecoin ventures may potentially expand the usability of stablecoins beyond crypto trading, with a focus on payments and commerce.
The banks face challenges in coordinating their technologies and risk appetites for stablecoin development and adoption, as the regulatory landscape in the U.S. plays a critical role in their decision-making process.

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Hackernoon

257

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Developers, Here's How to Never Get Props vs State Stop Wrong

Props are for input, while state is for changes in React development.
Props are read-only and used to send data into a component.
State is local and changeable, used when the component needs to update over time.
Avoid duplicating data by copying props into state; use state only if you plan to edit or track changes.

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Zazz

377

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A Comprehensive Guide to Cloud Security Best Practices

Cloud security has become essential for protecting data, ensuring compliance, and embedding security into DevOps processes.
Challenges in cloud security include managing multi-cloud environments, IAM misconfigurations, and the shared responsibility model.
Key cloud security best practices include encryption, least privilege access, network segmentation, logging, credential rotation, and zero trust architecture.
Implementing cloud security posture management, runtime threat detection, and API protection are crucial for maintaining a secure cloud environment.
Regular penetration testing, multi-factor authentication, backup planning, and staying updated with patches are also vital components of cloud security.
Continuous learning and pursuing certifications like AWS Certified Security – Specialty and (ISC)² CCSP enhance one's employability in cloud security roles.
Staying aligned with Cloud Security Best Practices 2025 is essential for future-proofing skills in the rapidly evolving field of cloud security.
Start your cloud security career by exploring job opportunities and focusing on foundational knowledge, real-world practice, and skill-building.

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Medium

351

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Model Context Protocol (MCP): The Open Standard Transforming AI Integration Across the Tech…

Model Context Protocol (MCP) addresses the need for a universal standard in integrating AI models with external systems, simplifying workflows and enhancing autonomy.
Key players like Anthropic, OpenAI, Google DeepMind, Microsoft, and Shiprocket have swiftly adopted MCP, showcasing its wide industry acceptance.
Vendors such as Anthropic, Microsoft, and OpenAI offer MCP integration, catering to enterprises, developers, and eCommerce platforms for improved AI capabilities.
MCP's market potential is significant as it standardizes AI connections, reducing development complexity, enhancing AI agent capabilities, and promoting cross-platform interoperability.

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Sdtimes

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AI updates from the past week: Anthropic launches Claude 4 models, OpenAI adds new tools to Responses API, and more — May 23, 2025

Anthropic launched Claude Opus 4 and Claude Sonnet 4 models for long-running tasks with specific strengths.
The company introduced beta for extended thinking, tool use, tool parallelism, and Claude Code availability.
Anthropic API added four new capabilities like code execution, MCP connector, Files API, and prompt caching.
OpenAI updated Responses API with features like remote MCP server support and Code Interpreter tool.
OpenAI included background mode, reasoning summaries, and the ability to reuse reasoning items in API requests.
Mistral launched Devstral, an LLM for coding agents outperforming GPT-4.1-mini and Claude 3.5 Haiku.
Google I/O presented new AI models like Gemini Diffusion, Gemma 3n for various tasks, and Gemma variants.
Google announced Gemma Code Assist versions, reimagined Colab, Stitch tool, and Firebase Studios features.
Microsoft Build introduced GitHub Copilot's new features and Windows AI Foundry platform for AI developer support.
Microsoft unveiled NLWeb for conversational AI interfaces and Model Context Protocol support across platforms.

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