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Medium

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Understanding Model Context Protocol (MCP): What Every Tech Professional Should Know

Model Context Protocol (MCP) is a foundational framework for large language models to process information and generate responses.
MCP governs the context window, token management, and response parameters of AI models.
MCP enables AI assistants to maintain conversation history, deliver consistent solutions, and analyze legal documents.
Understanding MCP is essential for effective implementation of AI solutions.

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Engadget

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Tech founder charged with fraud for 'AI' that was secretly overseas contract workers

Tech founder, Albert Sangier, has been charged with fraud for misleading investors about his AI-powered financial technology platform, Nate.
The indictment reveals that the AI-powered transactions in Nate were actually performed by human contractors in the Philippines and Romania, as well as by bots.
Sangier raised over $40 million from investors for the app, which claimed to offer a universal checkout app powered by AI.
The case follows previous reporting that highlighted Nate's reliance on human labor rather than AI, with manually handled transactions ranging from 60% to 100%.

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Hackernoon

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How Bybit Rebounded from a Major Hack & Regained Market Share: A Dive into Block Scholes’ Report

Bybit, the world's second-largest crypto exchange, quickly regained market confidence after a major hack with strategic innovations.
A report by Block Scholes analyzed Bybit's recovery through RPI orders, stabilizing liquidity conditions for retail traders.
RPI orders provided retail traders better price execution, leading to tighter spreads and favorable conditions after the hack.
Bybit's market share dropped to 4% post-hack but recovered to 7% by early April, with restored healthy order book depth.
Technical tools and RPI orders helped Bybit improve liquidity and return to pre-incident benchmarks within a week.
Compared to peers, Bybit's quick recovery suggests RPI tools and retail focus are effective post-crisis strategies.
Bybit's handling of the crisis showcases the importance of proactive resilience strategies in the volatile crypto market.
The exchange's use of deep liquidity mechanics and strategic tools like RPI played a key role in its rapid rebound.
Bybit's recovery highlights that strong infrastructure, not just hype, is essential for navigating challenges in the crypto industry.
Overall, Bybit's successful post-hack recovery demonstrates the significance of technical innovations and strategic planning in digital finance.

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Medium

112

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The NuGet Earthquake: Reinventing the Wheel in the Face of Paid Licenses?

Several cornerstone libraries in the development community are considering paid licensing models for their features, marking a shift from the era of free and unlimited Open Source tools.
Maintainers of open-source projects are seeking economic models to sustain their work and offer professional support, given the immense investment of time and resources required.
Understanding the underlying patterns and tools behind these libraries becomes crucial in justifying the need for potentially paid dependencies and finding alternatives.
The paradigm shift prompts a conscious and pragmatic approach to architectural decision-making, while recognizing the value provided by open-source contributors.

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Tech Radar

230

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Google Docs' new AI voice will help you catch mistakes

Google Docs is introducing a new Audio Overviews feature
Audio Overviews can read your documents aloud or summarize them like a podcast
The tool aims to help users improve their writing and enable multitasking
The feature is also beneficial for accessibility and provides a more natural-sounding voice

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Dev

180

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Want to Join a Remote AI Company in 2025? Here’s What Actually Matters 🌍 🤖

Remote work is becoming the default in the AI industry.
When looking to join a remote AI company, it's important to consider a supportive culture, cutting-edge projects, career growth paths, flexibility, and meaningful perks.
A supportive culture includes inclusion, collaboration, and work-life balance.
Cutting-edge projects and opportunities for career growth are crucial in staying ahead in the rapidly evolving AI field.

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Medium

368

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Full Onboarding Guide for Web3PvZ, Edition 11: PvP Challenges & Ranking Badges

Web3PvZ has introduced PvP Challenges and Ranking Badges.
Casual Challenge allows random matchmaking and refunds PvP ticket after a 10-minute countdown without a successful match.
NFT Arena rewards the winner with all the NFTs in the reward pool.
Zombie Cup rewards the winner with all the Soul Shards in the prize pool.

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Towards Data Science

195

The Invisible Revolution: How Vectors Are (Re)defining Business Success

Vectors play a crucial role in modern business success, offering a dynamic, multidimensional view of underlying connections and patterns.
Understanding vector thinking is essential for decision-making, customer engagement, and data protection in today's data-focused world.
Vectors represent a different concept of relationships, enabling accurate measurement in a multidimensional space for tasks like fraud detection and customer analysis.
Using vector-based computing, businesses can analyze patterns and anomalies, leading to more precise decision-making and personalized customer experiences.
Vector-based systems transform complex data into actionable insights, changing how businesses operate and make strategic decisions.
Cosine similarity and Euclidean distance are key metrics that influence the performance and outcomes of recommendation engines, fraud detection systems, and more.
Real-world applications, such as healthcare early detection systems using vector representations, showcase the practical impact of leveraging vectors for complex data analysis.
Leaders who grasp vector concepts can make informed decisions, drive innovation in personalization and fraud detection, and position their businesses for success in an AI-driven landscape.
Adopting vector-based thinking is crucial for businesses to stay competitive and thrive in an age where data and AI innovations define success.
Embracing vectors as a fundamental tool for data literacy and decision-making can propel businesses forward in the evolving landscape of AI technology.
Vectors are at the core of the invisible revolution reshaping business strategies, and mastering their principles is vital for leaders to navigate and lead in the data-driven future.

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Cinema5D

318

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DaVinci Resolve 20 Released in Public Beta – with AI-Powered Features

Blackmagic Design has released the public beta of DaVinci Resolve 20, which introduces over 150 new features across the platform.
One of the key updates is the AI-powered tool Intelliscript, which assembles timelines based on a written script, transcript, or audio transcription.
The new AI Multicam Smart Switch analyzes mouth movement and audio to identify speakers and automatically switches angles during multicam edits.
DaVinci Resolve 20 also offers AI Voice Conversion for voice replacement, improved music editing, and various editing tools to save time.

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Medium

180

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What is DePIN? And How Multiple Network is Shaping Its Future

DePIN represents a new era in infrastructure, where physical and digital networks are provided by a decentralized network of nodes.
The key features of DePIN include community ownership, incentivized contribution, global scalability, and resilience and censorship-resistance.
DePIN is powering the next generation of applications, particularly in the field of Artificial Intelligence.
Multiple Network is a leading project shaping the future of DePIN, providing a Web3-native, privacy-focused communication layer for AI applications.

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Medium

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Unlocking Potential: DigiByte’s Taproot Activation

DigiByte recently activated Taproot, a transformative upgrade originally introduced on Bitcoin.
Taproot brings advancements like Schnorr signatures, reduced transaction sizes, and increased privacy.
Benefits of Taproot on DigiByte include enhanced privacy, improved data processing, and smart contract innovation.
The activation of Taproot aligns DigiByte with the latest advancements in blockchain technology, showcasing its commitment to innovation.

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Tech Radar

276

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Apple's uncharacteristic Siri stumble is bad news for you, and now we may know how it happened and why there's reason for hope

Apple's failure to deliver on Siri enhancements has surprised many fans, raising questions about the company's AI efforts.
A report suggests that internal rival AI factions within Apple led to flashy demos but unfulfilled promises.
The clash between two teams with different AI strategies, led by Giannandrea and Federighi, has hindered Apple's progress.
Apple's commitment to privacy may have hampered its AI advancements, as per The Information.
Public battles within the company, such as the Apple Intelligence demos at WWDC, have revealed internal discord.
Apple's pre-tapped WWDC video showcased a sophisticated Siri, not reflective of its actual capabilities at the time.
By not fully disclosing the state of Siri's development, Apple set itself up for potential failure and backlash.
Apple's decision to delay Siri enhancements and potential leadership changes under Federighi suggest a shift towards integrating third-party models.
The shift towards third-party models aligns with strategies adopted by Apple's competitors in the AI space.
Apple's future success in AI will heavily rely on clear leadership from Tim Cook and strategic decisions by Federighi.

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Sdtimes

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Agents bring the role of AI in development from reactive to proactive

AI agents are shifting the role of AI in software development from reactive to proactive.
The first wave of AI capabilities for developers focused on reactive tasks like code completion or refactoring.
The new generation of AI agents can be proactive, making decisions and taking on complex tasks with less human supervision.
Development teams are advised to start with small, low-risk projects to evaluate and utilize the capabilities of AI agents effectively.

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Towards Data Science

186

How to Measure Real Model Accuracy When Labels Are Noisy

Ground truth is never perfect, with errors in measurements and human annotations, raising concerns on evaluating models using imperfect labels.
Exploring methods to estimate a model's 'true' accuracy when labels are noisy is essential.
Errors in both model predictions and ground truth labels can mislead accuracy measurements.
The true accuracy of a model can vary based on error correlations between the model and ground truth labels.
Indications show that the model's true accuracy depends on the overlap of errors with ground truth errors.
If errors are uncorrelated, a probabilistic estimate formula can help derive a more precise true accuracy.
In practices where errors may be correlated, the true accuracy tends to lean towards the lower bound.
Understanding the difference between measured and true accuracy is crucial for accurate model evaluation.
Targeted error analysis and multiple independent annotations are recommended for handling noisy labels in model evaluation.
In summary, the range of true accuracy depends on ground truth error rates, with considerations for error correlations in real-world scenarios.

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Medium

347

9 Sneaky Web Dev Fixes That Save Hours

9 Sneaky Web Dev Fixes That Save Hours
Use javascript.0x3d.site as a resource for under-the-radar web development tips and tools
Vanilla JavaScript can be used for jQuery-like functionality
Utilize IndexedDB or caches API for client-side logic and static data handling

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