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Towards Data Science

139

Unlock the Power of ROC Curves: Intuitive Insights for Better Model Evaluation

The article aims to explain the AUC-ROC curve in a simple and intuitive manner for better model evaluation, using a practical example.
ROC curve visually represents the balance between a model's sensitivity and specificity across different classification thresholds.
Key concepts include Sensitivity, Specificity, and False Positive Rate (FPR) that help in understanding model performance.
A logistic regression model predicting survival in the Titanic dataset is used to demonstrate ROC curve analysis.
The article discusses varying probability thresholds and their impact on Sensitivity, Specificity, and FPR.
AUC (Area Under the Curve) is explained as a measure of model performance, where a higher AUC indicates better separation of positive and negative observations.
The calculation of AUC involves integrating the ROC curve using the trapezoidal rule.
AUC is interpreted as the probability that a randomly chosen positive instance has a higher predicted probability than a randomly chosen negative instance.
Chart visualizations and practical examples are used to aid in understanding the concepts of ROC curves and AUC.
Ultimately, the article emphasizes the importance of AUC in evaluating and improving classification models.

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7 Likes

Popsci

390

Image Credit: Popsci

All-terrain space truck hopes to drive astronauts on the moon

Lunar Outpost has revealed its high-fidelity prototype, the Lunar Outpost Eagle, for the Artemis program.
The Lunar Outpost Eagle is designed as an all-terrain space truck for astronauts on the moon.
It features a reconfigurable cargo bed, autonomous navigation software, and advanced onboard instrumentation.
Lunar Outpost plans to ensure the durability of the Lunar Outpost Eagle in harsh lunar conditions.

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23 Likes

Medium

111

Image Credit: Medium

Why AI Needs Web3: The Role of Multiple Network in Building Private, Decentralized Infrastructure

Today's AI landscape is built on unstable foundations such as data monopolies and privacy concerns.
Centralized AI systems rely on cloud providers, introducing challenges including privacy risks, limited control, and single points of failure.
Web3, with its decentralized compute and storage, enhanced privacy and security, and incentivized participation, provides an alternative to centralized AI.
Multiple Network is a Web3-native solution that offers anonymous communication, secure data transfer, and SD-WAN optimization, empowering AI development with privacy and performance.

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6 Likes

Medium

288

Image Credit: Medium

Is Golang Developer Experience Falling Behind?

The conversation about Golang Developer Experience (DX) falling behind is gaining momentum.
Go was originally designed with simplicity in mind, which made it easy to read and maintain for large engineering teams.
However, the minimalistic approach of Go limits its expressiveness when compared to languages like Rust, Kotlin, and modern Java.
The long-standing issue of the lack of generics in Go was addressed in the latest version (Go 1.18).

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Towards Data Science

156

Circuit Tracing: A Step Closer to Understanding Large Language Models

Transformer-based large language models (LLMs) have advanced significantly, but they remain opaque in terms of how they process tasks.
Understanding LLMs involves tracing their internal logic, treating neurons as the basic computational unit.
A 'circuit' in LLMs is defined as a sequence of feature activations and connections used to transform input into output.
To trace feature activations, a replacement model using transcoders is employed in place of MLP blocks in transformer models.
Cross-layer transcoders (CLT) capture effects across multiple layers, aiding in circuit tracing.
An attribution graph is built from the replacement model, showing the computational path with feature interpretability.
Researchers used attribution graphs to understand how models plan ahead in tasks like poem generation.
While circuit tracing is a significant step towards interpretability, limitations remain in understanding global circuits and inactive features.
This approach provides insight into how LLMs generate text, aiding in alignment, safety, and trust in AI systems.
Circuit tracing marks a crucial milestone on the journey to achieving true interpretability in large language models.

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8 Likes

Dev

344

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How to build your Solana sniper bot (5)💰🚀

Sniper bots on Solana are automated programs designed to execute token purchases at opportune moments, maximizing profits and minimizing risks.
The most profitable window for sniper bot activity is during new token launches when initial liquidity is injected.
Sniper bots use complex monitoring systems to detect launching tokens across DEXs like Raydium, Orca, Jupiter, and Metis.
Key tools for pool detection include DexScreener, Birdeye, DexLab, and Solscan Token Explorer.
Execution timing is crucial, with ideal bot execution within 0-500ms after liquidity add.
Bots leverage social media hype, monitoring influencers on Twitter, Telegram, and Discord for potential pump trends.
Risk mitigation strategies against rug pulls, exploits, and bot competition include liquidity burn verification and fee optimization.
The article also explores monitoring pump.fun migrations to Raydium for trading opportunities.
Scripts like check_bonding_curve_status.py and listen_to_raydium_migration.py are detailed for tracking token status and migrations.
The integrated Solana Trading Bot platform is introduced, showcasing innovative trading bots and user-friendly features.

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20 Likes

Medium

191

Image Credit: Medium

DMAIL Network Encryption and Security: The Cornerstone of Web3 Communication

DMAIL Network Encryption and Security: The Cornerstone of Web3 Communication
DMAIL employs end-to-end encryption and industry-standard algorithms for secure communication.
The network uses Zero-Knowledge Proofs (ZKPs) and decentralized infrastructure to ensure confidentiality, integrity, and authenticity.
DMAIL's security framework supports enterprise-grade communication, private messaging, cross-chain interoperability, and incentive systems.

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11 Likes

Netflixtechblog

352

Image Credit: Netflixtechblog

How Netflix Accurately Attributes eBPF Flow Logs

Netflix uses eBPF and TCP tracepoints to capture TCP flow logs at scale for network insights.
FlowExporter generates flow log records including IP addresses, ports, and timestamps, with around 5 million records per second.
Attributing IP addresses accurately to workload identities is crucial for making flow logs useful.
Initially, misattribution issues arose due to delays in IP address change events reaching FlowCollector.
FlowCollector's new attribution method involves correctly attributing local and remote IP addresses.
For container workloads, IPManAgent assists in assigning IP addresses to workload IDs.
Accurate attribution of IP addresses is achieved by maintaining time ranges of IP address ownership.
A broadcasting mechanism using Kafka helps in sharing IP address time ranges among FlowCollector nodes.
Cross-regional IP address attribution is facilitated by forwarding flows to nodes in the corresponding region.
Verification of the new attribution method was done by analyzing flow logs of a large service with known dependencies.

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15 Likes

Medium

216

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Enabling Dynamic Property Injection at Runtime with Spring Boot

In a typical Spring application, beans are managed as singletons with fixed values injected at startup.
@RefreshScope allows beans to become refreshable, updating instance with new property values.
Spring creates a RefreshScope bean to manage @RefreshScope annotated beans.
@RefreshScope beans are wrapped in proxies to facilitate bean instance updates.
Refresh event triggers clearing and creation of new instances for @RefreshScope beans.
Spring relies on application context, refresh scope, and event-driven mechanism for @RefreshScope.
@RefreshScope impacts only beans within the scope, ensuring other beans are unaffected.
The Environment object in Spring allows real-time lookup of property values without restarts.
Environment object sources prioritize values, enabling flexibility in configuration.
Using Spring's Environment object ensures dynamic property lookup at runtime.

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13 Likes

Popsci

344

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New urinal designs use physics to prevent pee splashback

The basic design of urinals has remained similar for centuries, leading to issues like splashback in public restrooms.
A study in 2019 estimated that US urinals splash as much as 1 million liters of urine daily, posing hygiene and cleaning challenges.
New urinal designs, such as the 'Cornucopia' and 'Nautilus,' use fluid dynamics to minimize splashback and improve public health.
The designs were developed by an international team including researchers and students at the University of Waterloo.
Inspiration for the designs came from dogs' urination angles, leading to a solution resembling nautilus shells to reduce splashing.
Testing with dyed water jets showed that a surface intersecting urine streams at a low angle prevents splashback.
The new urinals reduced splashes to just 1.4% of the common North American design and are more accessible with versions for standing users and those with disabilities.
Replacing all US public urinals with designs like the Nautilus could save significant water and resources, enhancing sustainability and hygiene.
The project aims to reduce water usage for cleaning, save millions of liters of water per day, and improve public sanitation.
The innovative urinal designs offer potential benefits such as conserving resources, reducing costs, and enhancing public hygiene.

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20 Likes

Sdtimes

331

Valiantys Shares Expanded AI Capabilities for Empowering Next-Generation Software Development at Team 25

Valiantys has announced significant company growth, including recent AI advancements.
The company has expanded its AI consulting capabilities and deepened partnerships with Atlassian and AWS.
Valiantys launched the AI ROI Discovery, enabling enterprises to create value with AI capabilities using Atlassian System of Work and other platforms.
They have also developed AI-powered tools, custom workflows, and educational programs to advance AI capabilities for Atlassian users.

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19 Likes

Sdtimes

327

Image Credit: Sdtimes

GitHub introduces security campaigns to help developers reduce security debt

GitHub introduces security campaigns to help developers reduce security debt.
Security campaigns are a new way to bring security teams and development teams together.
Development teams can plan and manage the work alongside their other work in GitHub.
GitHub provides predefined templates for common security issues for the campaigns.

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19 Likes

Medium

420

Why Time is Your Most Important Engineering Constraint

Time, in the business world, translates directly to cost, opportunity, and competitive advantage.
Understanding the impact of time is crucial for developers to be truly effective.
Making conscious decisions based on the intersection of technical possibilities and business realities is essential.
Understanding the time constraint fosters empathy and leads to more informed trade-offs and efficient delivery of value.

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25 Likes

Medium

254

Image Credit: Medium

“Vibe Coding: When Code Meets Creativity, Magic Happens”

Vibe Coding is about harmonizing your mental state with your work.
Set the Mood, work in Sprints, listen to your Brain, and celebrate Small Wins when vibe coding.
Vibe coding enhances cognitive performance, leading to a competitive edge in the tech world.
Vibe coding is programming in sync with mental energy, resulting in better productivity, creativity, and job satisfaction.

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15 Likes

Tech Radar

182

Image Credit: Tech Radar

The action figure trend is the latest way people are misusing the power of AI – and I wish I could stop doing it

The latest AI trend involves creating action figures of ourselves using platforms like ChatGPT 4o, with users feeding images and prompts to generate personalized figures in packaging with related accessories.
The trend gained popularity due to the quality of the AI-generated images resembling real action figure packaging, leading to widespread interest and tutorials on social media for creating these AI action figures.
However, concerns arise regarding the environmental impact of AI image generation, highlighting the significant water and carbon footprint associated with training and operating AI models like ChatGPT 4o.
Despite the fun aspect, the cost of AI trends in terms of resource consumption and potential environmental impact raises questions about the responsible use and implications of AI technology.
While AI offers diverse applications beyond trend image generation, such as writing assistance and creative tools, the focus on memes and trends may overlook the broader capabilities and potential consequences of advanced AI systems.
As AI continues to evolve, considerations about its ethical and sustainable use are crucial, especially with the growing intelligence of AI systems and their potential societal implications.
AI tools like ChatGPT, Gemini, and others offer practical applications for everyday tasks like writing, presentation enhancement, and content summarization, emphasizing their utility beyond mere trend-driven image generation.
The balance lies in leveraging AI as a beneficial tool while being mindful of its environmental impact and societal implications, steering away from solely using it for trends and memes.
Exploring the multifaceted capabilities of AI beyond trend-driven activities may pave the way for responsible and purposeful integration of AI technology in various domains.

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