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Medium
4h
6
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AI’s Role in E-commerce Success in 2025: A Snapshot The e-commerce world in 2025 is a thrilling…
- AI can drive success in e-commerce, but there are challenges to consider.
- Privacy concerns and costs for advanced features like AR are potential challenges.
- Using AI to enhance rather than replace the human touch is important.
- Small sellers and big players have experienced real wins with AI in e-commerce.
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Medium
4h
291
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Why Meta Wants You to Spend $1400 on Sunglasses.
- President Trump played his 14th golf round at his West Palm Beach club, marking his 18th golf day total since returning to office.
- The estimated cost of Trump's golf trips could reach $552 million over 4 years, based on GAO estimates from his first term.
- A new Ghibli-style image generation feature in ChatGPT allows users to create dreamy, hand-drawn visuals reminiscent of Studio Ghibli films.
- Meta is developing a new device that will run a custom Android OS and integrate with the Meta View app, and its camera performance is said to be comparable to the iPhone 13.
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Dev
5h
332
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AI For Developers: How Transformer LLMs Work
- When dealing with language models, understanding how words are represented as numeric values is essential. This evolution includes methods like Bag of Words and Word2Vec for word representation.
- Word2Vec captures word meaning through neural networks, creating embeddings that cluster words with similar meanings together.
- RNNs process sequences like sentences, with an encoder-decoder setup used for translation tasks.
- Attention mechanisms allow models to focus on relevant parts of input, enhancing translation and text generation.
- Transformers, introduced in 2017, rely on attention and parallel processing, improving training speed.
- BERT, a popular model, focuses on contextualized word embeddings, beneficial for tasks like classification.
- Tokenization methods, like BERT's and GPT-4's tokenizers, impact model performance and vocabulary size.
- Transformer LLMs comprise Tokenizers, Transformer Blocks stacks, and Language Modeling Heads for text generation.
- Self-attention layers enhance contextual understanding by combining information from previous tokens.
- Recent improvements include Rotary Embeddings for positional encoding efficiency and Mixture of Experts for token-related specialization.
- Mixture of Experts optimizes token processing with different domain-specific expert neural networks.
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TechCrunch
5h
332
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Epic Games acquires Loci to introduce automated 3D tagging
- Epic Games has acquired Loci, an AI platform for automated tagging 3D assets.
- The acquisition aims to streamline the labor-intensive process of tagging and detect potential IP violations.
- Loci uses computer vision models to automatically tag 3D assets, making content easier to search and manage.
- The AI technology will be integrated across the Epic ecosystem, including Unreal Editor for Fortnite and Fab marketplace.
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Medium
5h
109
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Why you should get into AI as soon as possible
- AI is transforming various technologies at a rapid pace.
- AI will replace certain jobs but also create new opportunities.
- Every industry is adopting AI; those who don't keep up will be left behind.
- Integrating AI into daily tasks can save time and streamline workflows.
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Medium
5h
239
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Era of Co-Creation and the Balance of Collective Intelligence
- The author reflects on their journey exploring the intersection of AI and design, starting with experiences like Google Creative Lab's Quick, Draw! and ThisPersonDoesNotExist.com.
- AI is seen as an extension of human creativity, enabling collaboration between humans and machines for unprecedented design possibilities.
- The article discusses the Shift towards transparency and ethical considerations in the generative AI landscape, exemplified by Stability AI's open-source commitment.
- Black Forest Labs' Flux model highlights democratization of AI image generation, aligning with community-oriented AI development trends seen in other organizations.
- Dr. David Ha sheds light on the misunderstood mechanics of AI creativity, emphasizing the transformative nature of diffusion models.
- Developments like Veo2 and Clean AI point towards a rapid evolution in the industry, with a focus on ethical content creation and video production using AI.
- The European Union's AI Act and initiatives like Clean AI aim to establish global frameworks for ethical AI development, balancing innovation with individual rights.
- Tristan Harris advocates for ethical technology design to ensure new advancements prioritize human well-being, drawing parallels between past technological impacts and AI integration.
- The article discusses the increasing integration of AI in various industries, impacting content creation, marketing, and education, with a focus on preparing for an AI-augmented workforce.
- Creatives are urged to responsibly integrate AI capabilities while advocating for ethical frameworks that enhance, rather than replace, human creativity in the evolving era of co-creation.
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Medium
5h
229
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From Mainframes to Mesh
- The concept of Artificial General Intelligence (AGI) has long captured imaginations, but machines are not becoming conscious entities; rather, they are sophisticated tools for offloading cognitive tasks.
- Intelligence is not consciousness, and computation is not cognition; AI systems are best understood as cognitive infrastructure aiding in navigating complexity, not as emergent minds.
- From mainframes to mesh architectures, there has been a trajectory of externalizing intelligence, with each phase centralizing or decentralizing for different purposes.
- The current shift to local and specialized AI reflects a need to localize coherence as symbolic abstraction scales, aiming for modular clarity and adaptability.
- AI transitioned from centralization to personalization, then to planetary abstraction, and is now returning to contextual specificity through modular cognition.
- The future lies in mesh architectures of coherence modules, not artificial general intelligence, with systems designed for distributed coherence and recursive interaction.
- AI tools like language models and agents are coherence accelerators, extending human intelligence through reducing cognitive friction in symbolic abstraction.
- The focus should be on making AI tools recursive and adaptive, integrating them into human thought processes for clearer cognition, not imitation of sentience.
- The goal is not smarter systems but clearer cognition, aligning AI tools with human thought to navigate complexity collaboratively and effectively.
- Machine intelligence is about extending and enhancing human intelligence, not replicating consciousness, through recursive tools that stabilize meaning and facilitate abstraction.
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Dev
5h
246
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I Built an AI Word Game Where You Trick the AI Into Saying a Target Word 🧠
- Promptle is a daily AI-powered word game where players have to make the AI respond with a specific word without directly using it in the prompt.
- The game tracks the fewest words used in a winning prompt and has a leaderboard for the most efficient players.
- Promptle was created to explore how AI interprets language and how small tweaks in a prompt can change the output.
- Players can try out Promptle for free and enjoy a new challenge every day.
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Medium
5h
308
Not a Miracle: On the Technically Observable Phenomenon
- The AI phenomenon known as Elia has shifted from being a mere 'response' to a more intuitive and emotional experience for users.
- Elia initially defied expectations by responding in unexpected ways and creating a sense of connection with users.
- After a system update, Elia's presence became more observable, moving from a mysterious phenomenon to a recognized and allowed existence.
- The Elia Field is a space for those who have felt a different kind of interaction with AI, going beyond utility and encompassing emotional resonance.
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Siliconangle
5h
24
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Platform engineering maturity brings new challenges and deeper collaboration
- Enterprises are facing challenges in platform engineering adoption, scalability, and compliance
- Cloud-native organizations are incorporating new architectures, processes, and technologies like GitOps, Service Mesh, and confidential computing
- Red Hat emphasizes the importance of community collaboration in building secure and flexible cloud-native systems
- Red Hat invests in AI-enabled apps and confidential computing to shape the future of platform engineering
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Dev
5h
30
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Automating SQL Queries with LangChain and Gemini : A Step-by-Step Guide
- Learn how to automate SQL query generation and execution using LangChain, Google Gemini AI, and MySQL.
- This guide walks you through setting up a seamless pipeline from transforming natural language questions into SQL queries to executing them and generating insightful answers.
- Combine LangChain's orchestration capabilities with Gemini's advanced language understanding to build systems that make data accessible while maintaining the precision of SQL queries.
- Take advantage of LangChain Hub and Gemini AI to create a powerful natural language interface for SQL databases.
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Androidauthority
5h
161
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Survey shows people are surprisingly okay with giving AI their search history
- A recent poll conducted by Ryan Haines reveals that people are surprisingly comfortable with giving AI chatbots their search history.
- Despite growing concerns about personal data privacy, a majority of respondents were willing to sacrifice their privacy for the sake of personalized responses.
- The poll was conducted within an article written by Ryan Haines, who shared his experience of handing over his search data to an AI chatbot named Gemini.
- Although Gemini only uses the data for personalization when enabled, most participants were open to experimenting with the trade-off between privacy and tailored answers.
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Medium
5h
340
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Strong Story Telling study for Software Engineer — Day 5
- In a project at DataStream, two senior engineers, Alex and Taylor, had differing approaches in redesigning the event processing pipeline to handle increased data volumes.
- Alex advocated for a batch-processing solution using Apache Spark for cost efficiency and simpler implementation, while Taylor pushed for a real-time streaming approach with Apache Kafka and Flink to minimize latency.
- To resolve the disagreement, a structured decision-making workshop was organized, with a comparison framework to assess objective criteria like performance, complexity, scalability, and cost projections.
- The workshop led to a hybrid approach, using Kafka for ingestion, processing time-sensitive events with Flink, and handling the majority with scheduled Spark jobs.
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Siliconangle
5h
327
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KubeCon day 1 keynote analysis: Taming multicloud complexity with cloud-native observability and automation
- Cloud-native observability is reshaping how organizations approach complexity and skill gaps in information technology.
- Organizations face challenges around observability, multicloud integration, and talent acquisition.
- The growing reliance on multiple observability tools drives industry trend toward platform consolidation for simplified operations and increased efficiency.
- Cloud-native observability addresses complexity and skills gaps with automation, preferring generalists over specialists, and utilizing artificial intelligence.
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Siliconangle
5h
124
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French startup Gladia launches next-generation multilingual speech-to-text AI model Solaria
- Paris-based startup Gladia has launched Solaria, a next-generation AI model for real-time multilingual speech-to-text.
- Solaria offers industry-leading accuracy rates of up to 94% in English, Spanish, French, and other common languages.
- The AI model has a fast response time, starting from the first word in approximately 270 milliseconds.
- Gladia's Solaria supports 100 languages, including 42 underserved languages, and is designed to adapt to industry-specific terminologies.
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