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Medium

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Claude 4: You better stop coding now

Anthropic has recently launched Claude 4, described as a coding beast with impressive capabilities.
Claude 4 is released in two versions - Sonnet 4 for daily use and Opus 4 for handling complex tasks.
It is compared to Google versus an actual PhD advisor, showcasing its versatility and efficiency in coding tasks.
Users on Reddit praise Claude 4, suggesting it might become their preferred coding copilot.

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Medium

218

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Part 1 — Demystifying Microservices: Getting Your Head Around the Basics

Microservices can initially seem simple but understanding the concept is crucial after experiencing deployment challenges.
This post focuses on explaining microservices practically rather than just defining them as buzzwords.
Using the analogy of a big family house, monolithic systems are compared to having everything shared, causing chaos if one part fails.
Understanding the importance of breaking down services and how .NET developers can adopt microservices in a manageable way is emphasized.

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Medium

350

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Devstral Small: The best Software Engineering Agentic LLM by Mistral

Mistral AI has introduced Devstral-Small-2505, a 24 billion parameter model designed for Software Engineering tasks, surpassing similar models in performance.
Devstral is an agentic model that can think and act like a software developer, navigating codebases, editing files, and facilitating intelligent software engineering workflows.
With a 128k token context window, Devstral is optimized for handling massive codebases. It is released under Apache 2.0 license, allowing free use, tweaking, and commercialization.
Devstral, equipped with a high-capacity Tekken tokenizer, outperforms both open-source and closed-source models in code-heavy tasks, offering scalability and real-world performance for software engineers and agent developers.

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Hackaday

368

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EMF Forming Was A Neat Aerospace Breakthrough

Grumman Aerospace made a breakthrough in forming metal parts using electromagnetic forming techniques several decades ago.
The technique involved using electromagnetic forces to squeeze metal tubes with gear-like fittings, resulting in parts that are stronger, lighter, and more fatigue resistant.
The process of EMF torque tube production includes placing a tube inside a coil, installing the end fitting, and generating a strong electromagnetic field to drive the tube inwards, forming a strong joint with the end fitting.
The technology was licensed to Boeing and proved to be highly successful, with the video on the development of the Grumman EMF Torque Tube showcasing the innovative technique.

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Pymnts

100

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Stablecoin Issuer Tether to Retain ‘Strong Focus’ on Markets Outside US

Stablecoin issuer Tether plans to remain focused on markets outside the U.S. while aiming to comply with potential U.S. regulations for digital tokens.
Tether, accounting for over 60% of the global stablecoin market, does not serve U.S. customers and is based in El Salvador.
U.S. bills require stablecoins to be fully backed by cash and 'safe assets', subject to AML regulations, and audited by big four firms.
Tether's recent financial figures show compliance challenges as it eyes launching new stablecoins and AI payment platform.

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Medium

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Unlock The Power Of Angular FormRecords: An Interactive Guide To Dynamic Forms

Angular FormRecords provide a powerful tool for creating dynamic and interactive forms in web development.
This article serves as a comprehensive guide to mastering Angular FormRecords, from basic setup to advanced interactive demos.
By understanding FormRecords, developers can build responsive and user-friendly forms using Angular.
Readers are encouraged to install Angular’s ReactiveFormsModule, experiment with the code, and share feedback for a hands-on learning experience.

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Medium

423

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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

223

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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

131

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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

400

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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

368

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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

200

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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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