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AI News
Medium
1w
25
Image Credit: Medium
Is Google Reading Your WhatsApp? Gemini’s Quiet Update Just Made It Possible
- Google has updated its Gemini feature, allowing it to connect to apps like WhatsApp by default, regardless of App Activity settings.
- Gemini still accesses data to complete tasks, even without storing interaction history and holds data for up to 72 hours, allowing human reviewers to view message content.
- Gemini can perform various functions like sending messages, interpreting images or text, and making calls using your phone's data.
- Users concerned about privacy can disable Gemini's access to apps, manage permissions on Android devices, and stay proactive in monitoring and controlling access.
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1 Like
Medium
1w
159
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Think You Need Coding Skills to Build an App? Here’s How I Did It Without Any
- The author shares their experience of building an app without any technical programming skills.
- They started with no-code or low-code platforms but wanted more control and features.
- The author utilized AI to bridge their skills gap and learned important lessons throughout the process.
- Key takeaways include setting clear expectations with AI tools, experimenting with different tools, and taking breaks to maintain focus.
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8 Likes
Hackernoon
1w
241
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Can Your LLM Handle an Invoice? I Tested 5—Here’s the Truth
- Testing 5 popular AI models on invoice field extraction and table parsing tasks.
- Models like AWS Textract and Azure Document Intelligence showed reliable results in various aspects.
- Google Document AI fared well only with clean and structured documents, while GPT-4o struggled.
- Gemini 1.5 Pro emerged as the top performer, excelling in accuracy and versatility.
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12 Likes
Medium
1w
2k
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Will AI Kill Software Development?
- AI-powered development tools like GitHub Copilot, Cursor, and Windsurf are increasingly enhancing productivity for developers and teams.
- The rise of no-code and low-code platforms such as Replit, Lovable, v0.dev, and Databutton allows individuals with limited technical expertise to create applications easily.
- The concept of Jevons’ Paradox suggests that as technology improves efficiency, the demand for software will increase, leading to continued growth in software creation.
- AI tools are reducing the time and resource costs associated with software development, potentially accelerating the rate at which new technology solutions are adopted.
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21 Likes
Medium
1w
187
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The AI Patent Land Grab: How QuickCode’s “Innovation” Reveals a Broken System
- QuickCode's patent application aims to claim ownership over obvious AI techniques.
- The patent describes basic ML processes as revolutionary and groundbreaking inventions.
- Filing such patents harms innovation by hindering progress and promoting rent-seeking behavior.
- The AI community should reject such patents and prioritize genuine innovation and collaboration.
- It's crucial to safeguard the open, collaborative spirit that drives AI advancements.
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9 Likes
Medium
1w
380
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AI on AI: Which AI Wins for Creatives?
- Explore top AI tools for visual arts, photography, videography, and creative writing in 2025.
- AI tools like Midjourney, ChatGPT, RunwayML, and Luminar AI excel in different creative fields.
- Each AI tool has unique strengths and considerations tailored for specific creative tasks.
- Consider trying out multiple tools to find what suits your needs and style best.
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22 Likes
Medium
1w
192
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From Prompting to Context Engineering: The Next Frontier in AI Systems
- The true differentiator in building intelligent AI systems today is not just the prompt but the context, marking the age of Context Engineering.
- Context engineering involves dynamically providing relevant knowledge, instructions, tools, and memory to AI models at runtime tailored to the task at hand.
- Context engineering ensures AI models can actually complete tasks by considering all relevant inputs and providing rich context for responses.
- Effective context engineering involves dynamically constructing context, deciding what knowledge and tools to load, and presenting data clearly to improve AI model performance.
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11 Likes
Medium
1w
205
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The Designed Real: Re-Architecting Perception in a Post-Limit World
- An exploration into the future of perception where AI, altered states, and neurodesign intersect.
- Perception is no longer passive but programmable, a philosophical expedition into the future.
- A manifesto and meditation on reconfiguring reality, perceiving as shaping, and authoring the real.
- Addressing the architects of attention to see beyond tools, rewrite the real, and awaken authorship.
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11 Likes
Medium
1w
233
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KIVA: Powering the Future of Web3, With the Community at Its Core
- KIVA was created with a goal to democratize access to blockchain technology by providing user-friendly tools and experiences of Web2 combined with ownership and freedom of Web3.
- Unlike many projects focusing on specific areas like DeFi or NFTs, KIVA aims to build an ecosystem catering to users, developers, traders, and enterprises to thrive together, with community-driven development as a key strategy.
- KIVA offers something for everyone, whether you are a developer deploying smart contracts, a trader interested in fair tokenomics, or a newcomer exploring Web3, emphasizing clarity, control, and an intuitive user experience.
- With a strong foundation, a passionate community, and a clear roadmap focused on progress rather than grand promises, KIVA is seen as a user-centric project with the potential to empower individuals through blockchain technology.
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14 Likes
Medium
1w
334
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Automated Scam Detection AI Explained: Detecting and Blocking Scams Instantly
- AI has revolutionized scam detection, enabling real-time identification of fraudulent activity.
- Machine learning algorithms analyze data sets to flag scams swiftly and accurately.
- AI-based reputation checking and real-time alerts empower users to report and block scams.
- Automated systems swiftly neutralize threats, ensuring proactive fraud prevention and user safety.
- Integration with blockchain and biometric fraud detection are enhancing fraud detection capabilities.
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20 Likes
VentureBeat
1w
1.8k
Image Credit: VentureBeat
Stop vetting engineers like it’s 2021 — the AI-native workforce has arrived
- The AI revolution is transforming the way we build, create, and work, with an emphasis on AI fluency and orchestration over coding skills.
- Hiring developers now requires focusing on their ability to navigate and leverage a wide range of AI tools, known as AI orchestrators.
- Companies need developers who understand the architecture, know when to trust AI, and possess foundational programming skills alongside AI capabilities.
- The future of work lies in collaboration between AI and humans, where adapting to AI-enabled talent will be key to success.
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13 Likes
Medium
1w
577
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The AI Bubble Is Hiding the Real Revolution
- Tech giants are focused on pursuing Artificial General Intelligence (AGI) through costly endeavors.
- Meanwhile, a quieter revolution is taking place with startups and developers building practical and profitable AI businesses.
- The gap between the high-spending tech giants and the more efficient startups is widening.
- The Low Church of AI, consisting of startups and indie developers, is quietly winning in the AI landscape.
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4 Likes
TechBullion
1w
76
Image Credit: TechBullion
How AI Is Quietly Redefining Global E-commerce – And Why Emerging Platforms Like Voghion Are Leading the Shift
- AI is revolutionizing global e-commerce, with emerging platforms like Voghion leading the way by integrating AI into every aspect of their operations.
- Voghion utilizes AI for visual search, semantic tagging, personalized recommendations, and efficient fulfillment logistics, resulting in a more intuitive shopping experience and improved operational efficiency.
- The company's AI shopping assistant simulates real retail interaction, leading to increased session times, decreased bounce rates, and higher average order values without aggressive discounts.
- Legacy e-commerce players can learn from Voghion by starting small with AI implementations, focusing on relevance over reach, and making AI an integral part of the customer experience rather than just a backend tool.
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4 Likes
Medium
1w
192
Image Credit: Medium
I Built a Real-Time AI System That Detects Anomalies in Streaming Data
- The author built a real-time anomaly detection tool using Python, WebSockets, scikit-learn, and GPT-4o.
- The system consumes streaming data, learns normal behavior patterns, and instantly flags outliers.
- An IsolationForest model is used for anomaly detection, with additional feedback provided by GPT-4o.
- The system includes monitoring through a Streamlit dashboard and feature extraction for contextual anomaly detection.
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11 Likes
Medium
1w
271
Image Credit: Medium
Prompt Like a Pro : Day 9
- Prompt Like a Pro: Day 9 focuses on leveraging ChatGPT as a brand voice assistant to help define and amplify one's unique online voice.
- Steps include defining your voice with the help of AI, creating a signature content style, teaching ChatGPT to mimic your voice, and planning content around personal brand pillars.
- This process involves crafting prompts to guide ChatGPT in generating content that resonates with your tone and messaging, leading to consistent brand representation across various platforms.
- The article emphasizes utilizing ChatGPT to enhance online presence authentically and efficiently, avoiding burnout while maintaining a strong brand voice.
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16 Likes
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