Tech Trends – ELISUB https://elisub.com ELISUB - Your Daily Dose of Tech Tips and Trends Sat, 24 May 2025 12:35:37 +0000 en-US hourly 1 https://wordpress.org/?v=6.5 https://elisub.com/wp-content/uploads/2024/04/cropped-cropped-Black-logo-no-background-1-32x32.png Tech Trends – ELISUB https://elisub.com 32 32 2025 Tech Trends Unveiled: Fact-Checking AI Innovations from OpenAI, Google, Waymo, and More https://elisub.com/2025/05/24/2025-tech-trends-unveiled-fact-checking-ai-innovations-from-openai-google-waymo-and-more/ https://elisub.com/2025/05/24/2025-tech-trends-unveiled-fact-checking-ai-innovations-from-openai-google-waymo-and-more/#respond Sat, 24 May 2025 11:53:39 +0000 https://elisub.com/?p=224 2025 Tech Trends

🚀 Latest 2025 Tech Trends

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AI & Coding Revolution 2025

Get ready to dive into the pulse of 2025’s tech revolution! From AI that writes production-ready code to smart glasses translating languages in real-time and self-driving cars reshaping our cities, this year’s innovations are nothing short of extraordinary. In this blog post, we fact-check and expand on the claims from AI and Tech Innovations in 2025: OpenAI Codex, Google Android XR, Waymo Expansion, and Beyond, digging into the latest insights from web sources and X discussions. Whether you’re a developer craving smarter tools, a business leader eyeing new opportunities, or a tech enthusiast curious about what’s next, we’ll explore how OpenAI, Google, Microsoft, and Waymo are redefining our world. Buckle up as we uncover the truth behind these advancements and their real-world impact!

1. OpenAI’s Codex: A Game-Changer for Coding or Just Hype?

OpenAI’s Codex, launched as an AI coding agent, churns out production-ready code, works in a secure containerized environment, supports custom instructions via AGENTS.md files, and is exclusive to ChatGPT Pro, Enterprise, and Team users. It automates tasks like prototyping, code maintenance, and documentation but struggles with complex debugging and operates in an air-gapped setup for security.

Fact Check

Is It True? The claims hold up. OpenAI unveiled Codex on May 16, 2025, powered by the codex-1 model, a specialized version of its o3 AI tailored for software engineering. It integrates with ChatGPT, generating code, fixing bugs, and creating pull requests. The containerized, cloud-based environment ensures compatibility with developers’ setups, while AGENTS.md files let users customize tasks. Access is indeed limited to ChatGPT Pro, Enterprise, and Team users, with plans to include Plus and Edu users later. The air-gapped setup prevents internet access, boosting security but limiting tasks like fetching APIs.

Any Gaps? A Microsoft study confirms AI coding tools, including Codex, falter on complex debugging, with success rates dipping to 40% for tough challenges. X posts from developers highlight frustrations, with one calling Codex “a bit messy” for new feature development, suggesting it trails competitors like GitHub’s Copilot or Google’s Jules. The article could’ve noted ethical concerns, like the risk of Codex reproducing copyrighted code, a past issue with its predecessor.

Digging Deeper

Codex is part of the “agentic AI” trend, where AI acts independently to complete tasks, not just suggest snippets. This could revolutionize workflows for startups building MVPs or enterprises refactoring legacy systems. However, its reliance on human review for critical code highlights a key limitation: AI isn’t a full replacement for skilled developers. The air-gapped environment, while secure, frustrates developers needing real-time data, as seen in X feedback. OpenAI’s safety hub, launched with GPT-4.1, aims to tackle errors and harmful outputs, but Codex’s reliability is still under scrutiny. For businesses, Codex could cut development time, but smaller teams may find its enterprise focus and subscription costs a barriers.

Why it Matters

Codex could streamline coding, but don’t expect it to replace human expertise. Developers should verify outputs carefully, especially for critical projects. Ethical questions about code ownership and accessibility gaps for indie developers are worth watching.

Link: https://techcrunch.com/2025/05/16/openai-launches-codex-an-ai-coding-agent-in-chatgpt/

2. Google’s Andriod XR Smart Glasses: The Future of Wearables?

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Google Android XR Smart Glasses

Google debuted Android XR smart glasses at I/O 2025, powered by Gemini AI, partnered with Warby Parker and Gentle Monster, offering real-time translation (Farsi, Hindi, English), navigation, and camera streaming to rival Meta’s Ray-Ban glasses. They’re prototypes, with pricing and battery life concerns.

Fact Check

Is It True? Mostly accurate. At Google I/O 2025 (May 20–21), Google introduced Android XR glasses under Project Aura, developed with Xreal and styled by brands like Warby Parker. Gemini AI powers features like translation, 3D Google Maps navigation, and contextual tasks (e.g., reading emails). They’re designed to compete with Meta’s Ray-Ban glasses. However, specific language support (Farsi, Hindi) isn’t confirmed—sources only mention general translation capabilities. The prototype status and battery life concerns are spot-on, as XR devices often struggle with power efficiency.

Any Gaps? The language claim seems speculative, and no pricing or release date is confirmed. Google’s past flop with Google Glass fuels skepticism, as noted on X, where users question market readiness.

Digging Deeper

Android XR extends beyond glasses to headsets like Samsung’s Project Moohan, with an SDK for developers to create immersive apps. X posts buzz about livestreaming and photo capture, but battery life and cost remain hurdles. Google’s partnerships with Samsung and Qualcomm signal a strong ecosystem, yet privacy concerns loom large. XR glasses with cameras and microphones could raise data security issues, especially given Google’s spotty privacy record. The article misses this angle, which is critical for consumer trust.

Why it Matters

These glasses could transform travel, remote work, and live events with real-time translation and navigation. But Google must nail pricing, battery life, and privacy to outshine Meta. Developers and businesses should explore the SDK for innovative apps, while consumers should weigh privacy risks.

Link: https://blog.google/products/android/android-xr-gemini-glasses-headsets/

3. Google I/O 2025: AI-Powered Search, Video, and Assistants

Google I/O 2025 showcased AI Mode for Search (available to all U.S. users), Veo 3 for video/audio generation ($249.99/month for AI Ultra subscribers), and Gemini Live/Project Astra for conversational AI and contextual awareness.

Fact Check

Is It True? Largely correct. AI Mode, powered by Gemini 2.5 Pro, handles complex queries like price tracking and purchases, but universal U.S. availability isn’t fully confirmed—sources suggest a phased rollout. Veo 3, paired with the Flow app, creates videos with dialogue and sound effects for $250/month (not $249.99). The claim about animal sounds lacks evidence. Gemini Live is free on Android and iOS, and Project Astra boosts contextual awareness, as stated.

Any Gaps? The pricing error ($249.99 vs. $250) is minor, but the animal sounds claim is unverified. The article assumes broad AI Mode access, which may be premature.

Digging Deeper

AI Mode’s “Deep Think” feature enhances complex queries, ideal for e-commerce or research. Veo 3 competes with OpenAI’s Sora, offering cinematic editing via Flow, but its $250/month cost limits it to enterprises. Gemini Live’s free access and Project Astra’s prototype for assisting blind/low-vision users via Aira show social impact potential, as hyped on X. However, Google’s 50% emissions spike from AI operations, per recent reports, raises sustainability concerns the article ignores.

Why it Matters

AI Mode and Veo 3 could streamline shopping and content creation, but high costs and environmental impacts are drawbacks. Gemini Live’s accessibility is a win for users, while Astra’s assistive tech hints at inclusive innovation. Businesses should balance AI benefits with sustainability goals.

Link: https://www.zdnet.com/article/everything-unveiled-at-google-io-2025-smart-glasses-gemini-search-more/

4. Waymo’s Autonomous Ride-Hailing: Redefining Urban Mobility

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Waymo Autonomous Ride-Hailing

Waymo expanded Waymo One to San Jose with fully autonomous, AI-driven vehicles, facing challenges like infrastructure and public trust.

Fact Check

Is It True? Accurate. Waymo’s San Jose expansion, part of its Bay Area growth, uses AI for navigation. Infrastructure, regulations, and trust are real hurdles, with a recent software recall highlighting safety focus.

Any Gaps? Waymo, like other autonomous vehicle developers, faces the challenge of addressing public skepticism about their technology, particularly concerning edge cases like erratic pedestrian behavior. While Waymo’s safety record demonstrates significant reductions in various types of crashes compared to human drivers, ongoing concerns about handling unexpected situations and potential biases in AI decision-making persist. 

Digging Deeper

Waymo operates in multiple cities, with plans for further scaling. Its AI excels in controlled settings but struggles with unpredictable scenarios. Regulatory approvals and public trust remain barriers, especially after past autonomous vehicle incidents. The article’s upbeat tone overlooks risks like job displacement in transport sectors.

Why it Matters

Waymo could transform urban mobility and accessibility, but scaling requires robust safety and public buy-in. Businesses can leverage Waymo for cost-effective transport, but regulators and users must address safety concerns.

Link: https://development.dricoper.com.au/insider/waymo-expands-its-driverless-robotaxi-service-into-silicon-valley

5. GitHub’s Copilot AI Agent: Coding Smarter?

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GitHub Copilot AI Agent

GitHub’s Copilot AI agent, powered by Claude 3.7 Sonnet, Gemini 2.0 Flash, and o3-mini, automates tasks like bug fixes and pull requests, needing human review for errors.

Fact Check

Is It True? Partially correct. Announced at Microsoft Build 2025, Copilot uses Claude 3.7 Sonnet for task automation, but Gemini 2.0 Flash and o3-mini integration isn’t confirmed—sources only cite Claude and GPT-4o. Human review is critical due to AI “hallucinations.”

Any Gaps? The multi-model claim seems speculative.

Digging Deeper

Copilot’s premium plan ($39/month) and per-request costs ($0.04) reflect high computational demands. It drives 40% of GitHub’s revenue growth, per Microsoft. Copyright debates persist, as Copilot’s training data includes public code, raising ethical questions.

Why it Matters

Copilot boosts team productivity, but smaller developers may find costs prohibitive. Legal risks and error-prone outputs require vigilance, making it a tool for efficiency, not autonomy.

Link: https://www.infoworld.com/article/3990733/github-unveils-coding-agent-for-github-copilot.html

6. Google’s Gemini Nano: On-Device AI Power

Gemini Nano, via ML Kit SDK, enables on-device AI tasks like text summarization, with limits compared to cloud models.

Fact Check

Is It True? Accurate. Gemini Nano supports offline tasks, prioritizing privacy and speed but requiring compatible hardware.

Any Gaps? Gemini Nano runs in Android’s AICore system service, which leverages device hardware to enable low inference latency and keeps the model up-to-date.

Digging Deeper

Gemini Nano powers apps in low-connectivity or privacy-sensitive settings, like healthcare. Its limitations highlight the trade-off between privacy and power.

Why it Matters

Developers can build secure, offline apps, but limited capabilities may restrict complex use cases. It’s a step toward privacy-focused AI.

Link: https://developer.android.com/ai/gemini-nano

7. Microsoft’s WSL Open-Source Move

Microsoft open-sourced most of WSL, fulfilling a nine-year request, enabling community contributions.

Fact Check

Is It True? Accurate. WSL’s open-sourcing supports cross-platform development, though some components remain closed.

Any Gaps? The Windows Subsystem for Linux (WSL) is a crucial part of Microsoft’s broader Linux strategy, enabling developers and users to leverage Linux tools and environments within Windows. WSL allows users to run Linux distributions alongside Windows without the need for virtual machines or dual-booting. 

Digging Deeper

WSL enhances tools like Copilot, aligning with Microsoft’s developer focus. Community contributions could accelerate innovation.

Why it Matters

WSL empowers developers, but closed components may limit full control. It’s a strategic move to compete with Linux-native platforms.

Link: https://blogs.windows.com/windowsdeveloper/2025/05/19/the-windows-subsystem-for-linux-is-now-open-source/

Conclusion: Navigating the Future of Tech in 2025

The tech innovations of 2025 showcase a thrilling leap forward in AI, extended reality, and autonomous mobility. OpenAI’s Codex is pushing boundaries in software development, though its debugging limitations and enterprise focus highlight areas for growth. Google’s Android XR smart glasses promise immersive experiences but face privacy and practicality hurdles. Waymo’s expansion signals a driverless future, yet public trust and safety remain critical challenges. GitHub’s Copilot AI agent boosts coding efficiency but raises ethical questions about code ownership. Google’s Gemini Nano and Microsoft’s open-sourced WSL empower developers with privacy-focused and cross-platform tools, respectively, though accessibility and scalability issues persist.

]]> https://elisub.com/2025/05/24/2025-tech-trends-unveiled-fact-checking-ai-innovations-from-openai-google-waymo-and-more/feed/ 0 Why Should You Study Computer Science? The Ultimate Guide https://elisub.com/2025/04/19/why-should-you-study-computer-science-the-ultimate-guide/ https://elisub.com/2025/04/19/why-should-you-study-computer-science-the-ultimate-guide/#comments Sat, 19 Apr 2025 17:59:46 +0000 https://elisub.com/?p=164

Learn why computer science study is a game-changer. Learn about advantages, best career paths, salary data, and how to start a career in tech. Perfect for students, career switchers, and entrepreneurs!

The Digital Gold Rush – Why Computer Science is Your Ticket to Tomorrow

Imagine living in the 19th century during the industrial revolution. Today, we’re in the midst of a digital revolution, where code is the new currency, and innovation happens at the speed of light. Computer Science (CS) isn’t just a field—it’s the engine powering every industry, from healthcare to finance, entertainment to space exploration.
Whether you’re a student weighing majors, a professional eyeing a career pivot, or a curious mind eager to shape the future, studying computer science unlocks doors to opportunities that didn’t exist a decade ago. By 2030, the tech sector is projected to grow 13% faster than all other occupations (U.S. Bureau of Labour Statistics). But why is CS the linchpin of this growth? Let’s dive in.

What is Computer Science? Something More Than Algorithms and Code

Computer Science is the science and art of solving computational problems. It’s not just coding; it’s system design, process improvement, and building novel solutions that change lives.

Central Tenets of Computer Science
  • Algorithms & Data Structures: The “recipes” that enable Google search and propel TikTok suggestions.
  • Artificial Intelligence (AI): Teaching computers to learn, reason, and think.
  • Cybersecurity: Protecting data in an era when cyberattacks are putting a cost of $10.5 trillion annually on the world by 2025 (Cybersecurity Ventures).
  • Software Engineering: Building scalable, intuitive programs that enjoy millions of users.
  • Human-Computer Interaction (HCI): Designing easy-to-use interfaces for seamless tech experiences.
    CS intersects with other disciplines like biology (genome sequencing), finance (blockchain), and even art (VR-based design). It’s an industry where reason is paired with creativity.

Qualities of a Successful Computer Scientist: Do You Have What It Takes?

While anyone can learn to write code, CS success requires both technical and soft skills:

  • Logical Thinking: Dissecting complex problems into binary decisions (if X, then Y).
  • Resilience: Debugging code for hours on end? All part of the journey.
  • Adaptability: Tech evolves quickly. Python today could be Quantum Computing tomorrow.
  • Collaboration: Software development is a collaborative effort. Think GitHub, not solo wolf coding.
  • Ethical Mindset: Great power (and data) comes great responsibility.

Why Study Computer Science? 7 Compelling Reasons to Dive In

  1. It’s a Fascinating & Ever-Evolving Field
    From Meta’s metaverse to NASA’s Mars rovers, CS is at the heart of revolutionary breakthroughs. Disciplines like quantum computing and bioinformatics are redefining the rules.
    Example: Machine Learning models now predict climate patterns with 90% accuracy, leading to disaster prevention.
  2. Explosive Career Opportunities (CS Career Guide)
    The demand for tech talent knows no bounds. Check out these jobs:
Job TitleAverage Salary (U.S.)Growth (2021–2031)
Software Developer$110,000+25%
Data Scientist$130,000+36%
Cybersecurity Analyst$120,000+35%
AI Engineer$150,000+34%
Source: U.S. BLS, Glassdoor 2023

And sub-niches like DevOps and Cloud Architecture feature six-figure salaries with minimal barrier to entry.

  1. It’s the Backbone of the Modern World
    Tech is the backbone of all industries:
    Healthcare: AI identifies diseases from X-rays faster than humans.
    Agriculture: Computer vision scans crop health with drones.
    Finance: Algorithms trade nanoseconds.
    No CS, and there’d be no self-driving cars, Zoom meetings, or even your Netflix binge.
  2. High Earning Potential & Job Security
    Tech careers are the ones that top “Best Jobs” lists every year. Even beginner positions like Front-End Developer offer 70,000–70,000–85,000 salaried jobs. Such specialized roles (e.g., Blockchain Developer) can earn up to $180,000 in tech hubs like Silicon Valley.
  3. Global Relevance & Remote Flexibility
    Tech is not limited by geography. A developer in Nairobi can collaborate with a UX designer in Norway—all from a Bali beach. Post-pandemic, 74% of tech companies offer remote arrangements (FlexJobs 2023).
  4. Creativity & Innovation are Rewarded
    CS isn’t just logic—it’s about creation. Whether you’re designing a viral app like TikTok or coding a game that tops Steam charts, your ideas can reach millions.
  5. Drive Real-World Impact
    Tech solves humanity’s toughest challenges:
  • Climate Change: AI models optimize renewable energy grids.
  • Education: Apps like Khan Academy democratize learning.
  • Healthcare: Fitbits and Apple Watches save lives by detecting heart irregularities.

The Intersection of CS and Other Disciplines: A Multiverse of Opportunities

  • Biology + CS: CRISPR gene editing uses algorithms to modify DNA sequences.
  • Art + CS: NFT marketplaces like OpenSea are disrupting digital ownership.
  • Sports + CS: Wearables track athlete performance in real-time.

CS does not exist in isolation. Here’s how it intersects with other fields:

This diversity enables you to pivot industries without needing to start from scratch.

How to Get Started with Computer Science: Your Roadmap

Step 1: Choose Your Learning Path
  • Self-Taught: FreeCodeCamp, Codecademy (Budget: 0
    –0–300/month).
  • Bootcamps: Flatiron School, General Assembly ($10,000–10,000–20,000).
  • Degree Programs: MIT’s OpenCourseWare, Stanford Online (Free–$50,000/year).
Step 2: Master the Basics
  • Languages: Start with Python (simple syntax), and then learn JavaScript or C++.
  • Projects: Build a portfolio with clones (e.g., Spotify UI, Twitter bot).
  • Networking: Get on GitHub, LinkedIn groups, and hackathons.
Step 3: Specialize


Dive deep into trending topics:

  • AI/ML: Learn Andrew Ng’s courses on Coursera.
  • Cybersecurity: Play around with TryHackMe labs.
  • Web3: Build a blockchain app on Ethereum.


Final Thoughts: The Future Belongs to Builders

Studying computer science isn’t about getting a job—it’s about learning the skills to shape the future. Yes, there will be late nights debugging and steep learning curves, but the payoff—financial freedom, global prospects, and the excitement of creation—is well worth it.
As Steve Jobs once quipped, “Everyone should learn to program a computer because it teaches you how to think.” Ready to join the digital revolution? Your journey starts now.

FAQs: Addressing Common Concerns

Q: Is computer science hard?
A: It’s challenging but worth it. Start with basics and practice consistently.
Q: Must I study CS for a degree?
A: No way! Many of the best coders are self-taught or bootcamp graduates.
Q: Where is computer science going?
A: AI ethics, quantum, and AR/VR will dominate the next decade.

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