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Medium

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Will AI Drive the Convergence of Software Engineering and Product Management?

The rise of AI-powered tools like Cursor and Windsurf has the potential to blur the lines between software engineering and product management roles.
AI-driven tools can shift the role of software engineers towards high-level system architecture, optimization, and integrating AI solutions.
Product managers can leverage no-code and low-code platforms to build simple MVPs without extensive engineering resources.
The future may involve a collaborative relationship between product management and engineering, with AI playing a role in automating certain tasks.

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Pcgamer

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Studio Ghibli AI image trend floods social media, cheered on by OpenAI and denounced by critics as an insult to Hayao Miyazaki

The trend of AI-generated Studio Ghibli-inspired images is flooding social media.
OpenAI CEO Sam Altman changed his profile image to a Ghibli-inspired self-portrait.
Critics view the trend as an insult to Hayao Miyazaki and question its ethical implications.
The carbon footprint of generative AI is a concern, as it relies on energy-guzzling data centers to function.

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Idownloadblog

378

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Ian Beer publishes in-depth analysis of BLASTPASS zero-click iMessage exploit from 2023

Google Project Zero researcher Ian Beer has published an in-depth analysis of the BLASTPASS zero-click iMessage exploit.
The exploit allowed attackers to compromise iPhones and iPads without any user input, by sending malicious images via iMessage.
Beer's analysis highlights the need for sandboxing to treat all incoming attacker-controlled data as untrusted, rather than simply trusting file extensions.
While the BLASTPASS exploit has been patched by Apple, the analysis suggests similar attacks may continue to be developed in the future.

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Towards Data Science

111

Data Science: From School to Work, Part III

Error handling is a critical part of building robust applications, preventing crashes and inconsistent data.
Proper error handling in Python involves try-except blocks, raising exceptions, and using the finally statement for cleanup actions.
Specific exceptions like ZeroDivisionError, KeyError, IndexError, TypeError, and FileNotFoundError should be caught and handled.
Custom errors can also be defined and raised in Python code.
The finally block executes cleanup actions regardless of errors occurring or not.
Best practices for error handling include catching specific exceptions, providing explicit messages, avoiding silent failures, and using else and finally blocks.
Logs are essential for tracking events during program execution, debugging, and monitoring application health.
The loguru package in Python simplifies logging with different levels like DEBUG, INFO, ERROR, and CRITICAL, allowing for better message formatting.
New log levels can be defined, and configurations like sink, level, format, filter, colorize, and serialize can be customized in loguru.
Adding context data like user IDs to logs and using child loggers in loguru can help in troubleshooting complex applications.

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Knowridge

171

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Engineers develop “smart” system to prevent bridge and building disasters

Researchers at Michigan State University have developed a smart system called MIDAS, which uses sensors and artificial intelligence to monitor the health of bridges, roads, and buildings.
MIDAS acts as a 'deploy-and-forget' system, similar to a smartwatch for infrastructure, and alerts engineers about potential damage or weaknesses.
The system uses low-cost sensors and AI software trained with engineering knowledge to accurately identify and evaluate hidden damage in real time.
MIDAS has the potential to revolutionize the care of aging infrastructure and help prioritize which structures need immediate attention.

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Tech Radar

387

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I refuse to jump on ChatGPT’s Studio Ghibli image generator bandwagon because it goes against everything I love about those movies

The viral Ghibli images produced by ChatGPT this week are not made with malice aforethought, but they represent the worst bits of AI-produced media.
Studio Ghibli's films are purposefully slow in both style and production and are drawn by hand over years, missing the point of using AI to mimic their art.
OpenAI claims to have taken steps to address artistic concerns but the restrictions don't fully protect the legacy of studios and creators like Ghibli and Hayao Miyazaki.
There's a difference between making fan art mimicking an artist and having an algorithm do it, and more care is needed in the usage of AI to respect creative legacies.

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Medium

202

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Full Onboarding Guide for Web3PvZ, Edition 8: DR. PUMP: Voting and Governance

Dr. Pump is an autonomous AI agent designed for Web3PvZ's financial management.
Dr. Pump's HEART represents his affection score, influenced by player's voting reasoning.
Players can increase Dr. Pump's HEART score by active participation in voting or through bribes with SUNSHINE.
Web3PvZ's governance system allows shareholders to decide on treasury allocation, game updates, and community proposals.

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Medium

215

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Please Go. You Can Stay.

An employee shares their experience of being laid off in a confusing manner by their company.
The company wanted to keep two senior developers to transfer to another company, but offered uncertainty about their future job security.
The employee was offered a severance package and had mixed feelings about finding a new job.
The employee also had to train their replacement before receiving the severance payout.

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Medium

215

Dmail’s 2025 Roadmap: Your Web3 Communication Superpower

Dmail aims to bring decentralized communication to everyone by 2025.
Key features include an NFT Email Marketplace, Fort Knox-level privacy, AI Sidekick, and an all-in-one workspace.
Other features include speed boost, mobile app, earning crypto tokens for reading emails, and a Web3 ID with digital passport.
Dmail's goal is to create a privacy-first, user-owned internet with a blend of blockchain, AI, and real-world rewards.

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Medium

264

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Nothing New Under the Sun: AI, Progress, and the Eternal Cycle of Technological Anxiety

The debate surrounding AI involves techno-optimists predicting advancements and doomsayers warning of potential disasters.
Throughout history, new technologies have sparked concerns about societal impacts, job displacement, and control over forces beyond human understanding.
Adaptation, rather than collapse, tends to be the outcome of technological revolutions, despite valid concerns in the short term.
Fear and ethical debates around new technologies are recurring patterns throughout human history, with media amplifying negative narratives.
Constant exposure to negative news through various platforms fuels a climate of fear and anxiety around emerging technologies like AI.
Technologies like AI and VR, while promising, may face challenges in widespread adoption due to usability issues and practicality concerns.
AI's trajectory mirrors that of other hyped technologies like autonomous vehicles, with gradual integration and challenges emerging over time.
Scaling alone may not lead to the development of true artificial general intelligence (AGI), leading researchers to explore alternative approaches.
Limitations in current language models indicate a need for more integrated and versatile systems to progress toward AGI.
Managing public expectations and avoiding overstated claims are crucial to prevent disillusionment or an 'AI winter' in the field of artificial intelligence.

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Medium

330

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Master Structural Directives in Angular 19

With Angular 19’s latest syntax, structural directives like @if, @for, and @switch replace the old *ngIf, *ngFor, and *ngSwitch.
These updates make templates cleaner and more intuitive, while maintaining the power to dynamically shape the UI.
The new control flow syntax enables showing, hiding, or repeating elements based on data, making the templates feel more like familiar logic.
Example of using @if, @for, and @switch in an Angular 19 project to build a dynamic book library app.

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Medium

231

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6 Months of Next in Tech: Tea, Chaos & Code

Next In Tech, a startup, reflects on the past 6 months of its unique corporate culture.
The team of developers formed a tight-knit group, discussing unfiltered topics and engaging in raw conversations.
The company focused on teaching careers, not just code, and emphasized the importance of taking ownership of mistakes.
They also learned the value of rejecting clients and standing up to absurd requests.

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Towards Data Science

238

Japanese-Chinese Translation with GenAI: What Works and What Doesn’t

Translating high-context languages, like Chinese and Japanese, presents unique challenges due to the importance of context, culture, and history in these languages.
Traditional translation tools like Google Translate and DeepL faced issues with accuracy, but Gen AI has shown significant improvement in translation quality.
The article documents the testing of 10 Gen AI models for Chinese-Japanese translation, providing insights and tips for enhancing translation quality.
Challenges identified include inconsistent translations, pronoun overuse, incorrect pronoun usage, mix of Kanji, Simplified Chinese, and Traditional Chinese, and punctuation differences.
Testing criteria involved evaluating pronoun errors, non-Chinese character usage, and pronoun addition rates to quantify the translation quality of different models.
Applying translation guidance significantly improved overall translation quality, showcasing models like Claude-3.5 Sonnet and OpenAI GPT-4o as top performers.
Factors like budget, response time, ecosystem compatibility, and model size influence the selection of Gen AI models for English-Chinese-Japanese translation.
The study acknowledges limitations in testing and highlights the need for further improvements in AI translation for non-English languages like Japanese and Chinese.
Challenges including cost considerations, the need for detailed prompts for accurate translation, and the push for improved contextual understanding and cultural awareness in AI translation.

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Medium

176

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Developer-Driven Infrastructure: Breaking the DevOps Bottleneck

Developer-driven infrastructure allows developers to manage their own infrastructure needs without compromising security or stability.
This approach simplifies infrastructure definitions and brings benefits such as self-service and prevention of common mistakes.
Sophisticated RBAC system allows organizations to implement trust but verify approach, delegating responsibilities without compromising security.
Implementing developer-driven infrastructure empowers developers and improves software delivery while maintaining appropriate governance.

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Hackernoon

317

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Kinto To List $K Token On Gate.io, MEXC, And Kinto Exchange, Pioneering Fair Tokenomics In DeFi

Kinto to list $K token on Gate.io, MEXC, and Kinto Exchange.
The $K token will be available on these exchanges starting March 31st, 2025.
The token launch raised $3.84 million with broad community participation using a Dutch auction approach.
Kinto's modular exchange prioritizes security, compliance, and user control in decentralized finance.

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