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Medium

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AI Live School Builder Review 2025: Online Education with AI-Powered Schools

AI Live School Builder is a revolutionary platform that allows users to create AI-driven online schools in under a minute, offering features like AI Live Teachers and automated student enrollment.
The platform covers over 20 subjects, including academics, technology, business, languages, and wellness, with live and interactive classes and AI-powered Q&A and tutoring.
Users can utilize the Student Management System to track progress, issue certificates, and provide personalized feedback, along with running AI-powered tests, exams, and automatic grading.
Monetization options include AI-driven subscription models and course sales, with features like Automated Student Finder for instant student recruitment.
The platform offers comprehensive academic curriculum, technology and coding integration, creative and skills-based learning, multi-language support, business and finance education, and health and wellness training.
AI Live School Builder provides AI analytics and reporting, seamless integration with YouTube, Google, and social media, live chat support, and eliminates the need for multiple expensive tools and services.
The platform, created by Uddhab Pramanik, offers a commercial license, a 30-day money-back guarantee, and recommendations, with a front-end price of $15.43 and various OTOs available.
Users can create, sell, and profit from AI-driven online schools in three simple steps: setup the school, customize and automate with AI Live Teachers, then launch and enroll students to generate revenue.
Features like built-in Automated Student Finder technology set AI Live School Builder apart from competitors by simplifying student recruitment and allowing quick monetization of schools.
Pros of AI Live School Builder include quick setup, automated student enrollment, AI-powered teaching tools, global accessibility, and profit potential through subscription models.
Cons of the platform include an initial learning curve for some users and potential reliance on AI technology over traditional teaching methods.

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Protecting user data through source code analysis at scale

Meta's Anti-Scraping team uses static analysis tools to prevent unauthorized scraping and protect Meta's codebase from scraping attacks.
Scraping is the automated collection of data, which can be authorized or unauthorized, with unauthorized scraping being harder to detect.
Meta employs proactive measures like investigating suspected scraping activities and developing static analysis rules to prevent scraping vectors.
Static analysis tools like Zoncolan and Pysa help in identifying potential scraping issues early and ensuring timely remediation.
These tools track data flow through programs by defining sources, sinks, and issues to detect scraping vulnerabilities.
Static analysis can proactively identify scraping attack vectors, such as endpoints controlling user data, enabling preemptive remedies.
Limitations of static analysis in combating unauthorized scraping include the inability to catch all issues due to scrapers mimicking legitimate user behavior.
Mitigation strategies involve a holistic approach to combat scraping and stay ahead of scraping actors without hindering user experience.
Meta focuses on developing static analysis rules and utilizing in-house tools to protect user data and uphold privacy standards.
The efforts aim to detect, prevent, and address unauthorized scraping activities across platforms like Facebook, Instagram, and Reality Labs.

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Sdtimes

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DeepSeek Unpacked: Security, Innovation, and What’s Next

DeepSeek's latest model offers competitive performance at a fraction of the cost of other models.
The open-source nature of DeepSeek allows users to run the model locally, addressing security and privacy concerns.
SD Times interviewed a panel of industry experts to discuss the implications of DeepSeek for developers.
Panelists included representatives from AppOmni, DigitalOcean, and an executive consultant on technology.

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Towards Data Science

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How LLMs Work: Pre-Training to Post-Training, Neural Networks, Hallucinations, and Inference

LLMs go through pre-training and post-training phases to learn how language works.
Pre-training involves gathering diverse datasets like Common Crawl and tokenization.
Tokenization converts text into numerical tokens, essential for neural network processing.
Neural networks predict the next token based on context, adjusting parameters through backpropagation.
Post-training fine-tunes LLMs on specialized datasets to improve performance.
Inference evaluates model learning by predicting next tokens based on training.
Hallucinations occur when LLMs predict statistically likely but incorrect information.
Improving factual accuracy requires training models to recognize knowledge gaps.
Self-interrogation and fine-tuning help LLMs handle uncertainties in responses.
LLMs can access external search tools to extend knowledge beyond training data.

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Pcgamer

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Morbid curiosity made me swap from Chrome to Opera's 'gaming browser' but its early 2000s custom ringtone vibes give me the ick

Opera GX, Opera's gaming browser, is known for its edgy marketing and unique features like an anti-Valentine's Day mod and fake search history capability.
Despite its built-in VPN and gaming information hub, Opera GX may feel overwhelming due to excessive customization and extra features.
The browser's UI, reminiscent of a gaming laptop, offers themes and mods for high levels of personalization, including custom sounds like those from Cyberpunk 2077.
Opera GX's GX Corner provides gaming news, trailers, and deals, adding a unique dimension to the browsing experience.
The browser's personalized feed, GX.Daily, offers a mix of news and events but can be divisive in its content and buddy-like approach.
Community-created mods, in-browser games, and a focus on customization give Opera GX a distinct and playful edge in the browser market.
While Opera GX impresses with its community focus and custom features, it may become overwhelming and distracting over time, leading to a mixed user experience.
The browser's emphasis on personalization and community echoes the early 2000s mobile phone era, offering a mix of fun exploration and potential distraction.
Opera GX's unique offerings, including a built-in game store and mod support, cater to those seeking a break from traditional browsing experiences.
Overall, Opera GX's blend of customizability and gaming-centric features may appeal to some users but could be seen as excessive for those primarily focused on basic browsing needs.
While Opera GX may have its niche appeal and useful features like a release calendar, its extensive customization options and extras may overshadow its practicality for everyday browsing.

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Medium

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How Is AI Transforming the Work of Software Developers?

Tasks that once took hours can now be completed in seconds with AI-powered tools.
AI simplifies the debugging process, which is one of the most challenging aspects of software development.
AI optimizes the traditional software architecture design process, reducing the reliance on experience and manual analysis.
AI lightens developers' workloads, enhancing productivity. However, developers need to acquire new skills to fully leverage AI's potential.

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Towards Data Science

146

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Learning How to Play Atari Games Through Deep Neural Networks

Atari games like Pong can be framed as Reinforcement Learning (RL) problems, utilizing Markov Decision Processes.
Tabular approaches face challenges due to the vast number of states in Atari games, leading to intractability.
A shift to supervised learning poses issues due to the sequential nature of Atari games and the requirement for hand-labeled datasets.
Deep-Q Networks (DQN) address Atari game challenges through function approximation and Q-learning.
DQN uses Convolutional Neural Networks (CNNs) to handle continuous state spaces and distill image features.
Function approximation in DQN involves approximating state-action values to generalize Q-values efficiently.
Experience replay in DQN improves sample independence and addresses non-stationarity in data distribution.
The introduction of a target network in DQN stabilizes training by reducing target instability.
By stacking frames and pre-processing visuals, DQN ensures the Markovian property and enhances state representation.
DQN's efficient training procedures leverage methods such as ε-greedy action selection and replay buffers for stable learning.

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Medium

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Accessibility Debt Is Real — Here’s How to Prevent It

Organizations often fail to integrate accessibility from the start, leading to a reactive approach.
To prevent accessibility debt, accessibility needs to be a proactive part of the development process.
Product managers play a crucial role in shaping accessibility outcomes by including it in product development.
Continuous education, dedicated subject matter experts, and automation help prevent accessibility issues.

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Medium

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Exploring the Role of Containers and Kubernetes in Modern App Development

Containers and Kubernetes simplify and optimize modern app development.
Kubernetes enables automated deployment, scaling, and self-healing of applications.
Containers are lightweight and efficient, maximizing resource usage and reducing costs.
Kubernetes facilitates automated and efficient deployment, integrating with CI/CD pipelines.

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Popsci

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The evolution of sunglasses from science to style (and back again)

Sunglasses have evolved from ancient Inuit snow goggles to tinted glasses in the 18th century to modern sunnies with UV protection and polarization.
Early examples of sunglasses included 12th-century Chinese quartz lenses used by judges to conceal expressions and 13th-century Venice corrective glasses with tinted glass.
Around 1750, tinted eyewear for sun protection emerged in Venice, known as Goldoni glasses, with green-tinted glass lenses set in tortoiseshell frames.
The industrial revolution introduced railroad glasses in shades of gray, green, blue, and amber, offering protection from wind, dust, and light.
In the early 20th century, sunglasses gained popularity for driving and flying, associated with athleticism, heroism, and innovation.
Key innovations like UV protection by Rodenstock and polarized lenses by Edwin Land in the 1930s contributed to the mass appeal of sunglasses.
Sunglasses became a cultural icon associated with coolness, heroism, and Hollywood glamour, remaining a wardrobe staple to this day.
Their enduring appeal lies in offering a sense of escape, inviting people to step outside, soak up the sun, and exude effortless coolness.

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Tech Radar

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Windows 11 24H2 hasn’t raised the bar for the operating system’s CPU requirements, Microsoft clarifies

Windows 11 24H2 hasn’t raised the bar for the operating system’s CPU requirements, Microsoft clarifies. Some reports mistakenly claimed Windows 11 24H2 has dropped support for Intel 8th, 9th, and 10th-gen CPUs. Microsoft has made it clear this isn’t the case. The confusion arose due to a support document which is correct, but aimed at PC makers, so it only applies to new, not existing, Windows 11 systems.
Windows Latest brings this clarification, complete with word from Microsoft that these older Intel 8th, 9th, and 10th-generation processors are still fully compatible with Windows 11 24H2, and nothing has changed in that respect.
There’s a clear difference between CPUs recommended to go in new Windows 11 PCs, and chips that are in existing PCs which are supported by Windows 11. Something has changed in the former case – those mentioned Intel processors are now considered too out of date to be included with a new machine packing 24H2 (even though they’re still technically okay) – but nothing has changed in the latter case with existing devices.
In short, you’ll be fine to upgrade to Windows 11 24H2 if you’re using an Intel 8th, 9th, or 10th-gen chip, there’s no need to worry on that score.

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Medium

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"How AI Tools Are Revolutionizing Content Creation for Writers

AI tools are revolutionizing content creation for writers, transforming industries across the board.
Examples include Samsung's AI-powered refrigerator that recognizes food items, suggests recipes, and can place orders for replenishment.
Nvidia's latest GPUs offer enhanced performance for gaming, content creation, and AI model training.
Amazon AWS has developed a supercomputer powered by Trainium AI chips, advancing AI capabilities.

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Towards Data Science

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Honestly Uncertain

David Spiegelhalter's book, 'The Art of Uncertainty,' delves into scoring rules, notably the quadratic rule over the linear one for honesty in probability communication.
In a TV quiz scenario, participants are asked binary questions and required to express subjective probabilities rather than yes/no answers.
Linear scoring rules incentivize individuals to lie and communicate extreme probabilities for better scores, leading to dishonesty.
Proper scoring rules aim to encourage honest communication of true degrees of conviction, rewarding calibrated predictions and penalizing overconfidence.
The quadratic scoring rule, or Brier score, shapes communication towards truthfulness by rewarding honest ignorance with a +0.5.
The logarithmic scoring rule penalizes confidently wrong predictions heavily, while the cubic rule promotes excessive caution.
Scoring rules play a crucial role in reinforcing honesty and calibration in probabilistic forecasts, guiding individuals towards more informative and accurate predictions.
In practical applications, proper scoring rules are essential for training statistical models and evaluating experts' probabilities to ensure transparency and reliability.
Subjectivity in probability assessments does not equate to arbitrariness, as scoring rules help assess the honesty and calibration of forecasts with objective metrics.
While honesty and calibration are distinct concepts in forecasting, proper scoring rules serve as guides to encourage accurate and truthful expression of subjective beliefs.

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Javacodegeeks

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Securing Microservices with OAuth2 and OpenID Connect

OAuth2 and OpenID Connect are widely adopted standards for securing microservices.
OAuth2 enables third-party applications to access user resources without exposing credentials.
OpenID Connect adds authentication capabilities and simplifies integration with identity providers.
Using OAuth2 and OpenID Connect centralizes authentication, provides fine-grained access control, and enhances security in microservices architecture.

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Towards Data Science

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The Future of Data: How Decision Intelligence is Revolutionizing Data

Decision Intelligence (DI) is an interdisciplinary field that uses AI to enhance decision-making across all areas of a business.
AI provides the technology to mimic human intelligence, while DI focuses on applying that technology to improve how decisions are made.
DI creates value through increased revenue, cost reduction, improved efficiency, and risk mitigation.
DI can be implemented in various industries to optimize processes and decision-making, such as retail, healthcare, finance, manufacturing, and transportation.

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