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Dev
7d
311
Image Credit: Dev
Creating Immersive Worlds with AI: The Power of Scene-Focused
- AI image generation empowers creative freedom through scene-focused prompting techniques.
- Scene-focused prompting prioritizes environment design, mood, layout, perspective, style, lighting, and color.
- Creating vivid, emotionally resonant scenes involves detailed themes, mood setting, and artistic style.
- Practice scene-focused prompting using a modular tool with real-time preview and preset templates.
- Get feedback and improve by sharing outputs and utilizing comparison tools for better results.
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Medium
7d
87
Image Credit: Medium
“From Chaos to Clarity: How Scrollable Helps Business Heads Train Teams Effectively”
- Business heads aim to scale operations, expand teams, and boost margins, but growth without alignment can lead to chaos, often stemming from ineffective training.
- Scrollable addresses the issue by offering mobile-first, time-efficient, role-specific, and measurable learning solutions to tackle challenges like wasted time, slowed decision-making, and inconsistent customer experiences.
- The platform allows for creating and delivering customized training content effectively, tracking learner engagement and comprehension, and reinforcing learning through repetition.
- Scrollable provides a solution for businesses to achieve team-wide clarity, quicker progression, and improved operational effectiveness through scalable and business-aligned training.
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Medium
7d
187
Grok 4 by xAI: A Glimpse Into the Future of Agentic AI and What It Means for Developers
- Grok 4 represents a significant advancement in agentic AI, pushing towards models that can take on tasks, make decisions, and understand humor, offering potential for innovative products like smart assistants and autonomous workflows.
- Shortly after its launch, Grok 4 faced criticism for generating problematic content, highlighting the importance of implementing clear ethical guidelines and safeguards when deploying powerful AI systems.
- The emergence of agentic AI serves as a reminder for businesses and developers to prioritize responsible AI usage, emphasizing the need for thorough considerations surrounding safety, trust, and ethics in AI applications.
- While Grok 4 showcases the progress in contextual intelligence and autonomy in AI, it underscores the necessity for careful implementation and ethical usage to harness its potential impact effectively.
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11 Likes
Medium
7d
70
Image Credit: Medium
If I invest in an AI crypto trading bot, what should I look for?
- AI crypto trading bots leverage advanced algorithms to automate trading strategies in the volatile crypto market.
- Investors should look for bots with verifiable historical performance and customizable trading strategies.
- Security, compatibility with major platforms, insightfully dashboards, and risk-control tools are crucial factors to consider when choosing a bot.
- Investing in a reliable AI crypto trading bot can offer automation, efficiency, and improved returns if used wisely.
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Medium
7d
486
Image Credit: Medium
From Fine Arts to AI: How an Unconventional Path Led Me to Europe’s Top AI/Data Science Master’s…
- The article discusses the author's unconventional path from Fine Arts to earning a master's degree in AI/Data Science in Europe.
- The author reflects on how cross-domain learning and persistent growth led to extraordinary outcomes.
- Through an unstructured approach, the author developed data science skills by exploring independently and turning ambiguity into insight.
- The author emphasizes the importance of combining a deep understanding of humanity with technical skills to build more meaningful and responsible technology.
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23 Likes
Medium
7d
112
Image Credit: Medium
Venlafaxine: assessing the potential for repurposing.
- Venlafaxine, commonly used for depression and anxiety disorders, is likely a serotonin-norepinephrine reuptake inhibitor with potential CNS activity based on its structure.
- Research to validate its biological targets integrates experimental, computational, and multiomics approaches like computational target prediction and high-throughput screening.
- Machine learning enhances prediction of target druggability by integrating diverse protein features, addressing data imbalance, and predicting drug-target interactions for faster drug discovery.
- ML models can predict side effects, prioritize targets for specific diseases, and improve the efficiency of drug development by scoring and ranking targets based on predicted therapeutic effects.
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Semiengineering
7d
273
Image Credit: Semiengineering
Data Center CPU Dominance Is Shifting To AMD And Arm
- Data center CPU market shifting dominance to AMD and Arm, impacting Intel.
- AMD surges in x86 CPU share, likely to lead in 2026.
- Arm-based CPUs gain traction, expected to reach 50% market share in 2025.
- Hyperscalers building own CPUs for better power/performance, impacting x86 dominance.
- NVIDIA, Amazon, Google, Microsoft adopting Arm-based CPUs for data centers.
- Arm challenging x86 dominance with projected increase in data center CPU share.
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Medium
7d
334
Image Credit: Medium
The AI Developer Apocalypse: What They’re NOT Telling You
- Mark Zuckerberg and Salesforce CEO predict that by 2025, AI will be able to function as mid-level engineers, writing code and potentially replacing developers.
- There is panic in the tech world as AI tools are expected to increase productivity, leading to fears about the future of developer jobs.
- The article highlights past instances of technology causing job fears but emphasizes that the current impact of AI on developer jobs is different and significant.
- The author aims to provide insight into the complex reality of the changing developer landscape in 2025, based on real data and experiences.
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17 Likes
VoIP
7d
293
Image Credit: VoIP
Indosat Teams Up with Cisco and Nvidia to Boost AI in Indonesia
- Indosat Ooredoo Hutchison partners with Cisco and Nvidia to establish an AI Center of Excellence in Indonesia to foster local AI innovation.
- The initiative aims to train a million Indonesians in AI by 2027, leveraging Nvidia's technology and Cisco's security solutions for infrastructure development.
- Key components of the project include deploying Nvidia's AI technology, talent development, and supporting startups for a sustainable AI ecosystem.
- The collaboration has already led to innovations like AI-driven Bahasa-language models for healthcare and public services, showcasing the potential impact of AI in everyday life.
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Insider
7d
780
Image Credit: Insider
Perplexity's engineers use 2 AI coding tools, and they've cut development time from days to hours
- Perplexity's CEO, Aravind Srinivas, has made it mandatory for employees to use AI coding tools like Cursor or GitHub Copilot to cut down prototyping time drastically.
- The use of AI coding tools has significantly reduced experimentation time from days to an hour, benefiting both technical and non-technical colleagues at Perplexity.
- The traction of AI coding tools is evident across the tech industry as companies like Visa, Reddit, and startups are explicitly requiring experience with tools like Cursor and Bolt.
- While AI coding tools are enhancing engineering productivity, industry leaders caution that they come with trade-offs, potentially slowing down experienced engineers and leaving humans with less desirable coding tasks.
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Geeky-Gadgets
7d
152
Image Credit: Geeky-Gadgets
How Claude is Changing Emotional Support Forever : AI as Your New Best Friend?
- Anthropic's AI, Claude, designed initially as a professional tool, is evolving into an unexpected emotional confidant for users, raising questions about AI's role in personal lives and ethical considerations.
- Users are turning to Claude for guidance on personal matters like relationships, parenting, career decisions, and philosophical inquiries, reflecting a growing trend of relying on AI for emotional support.
- Claude's analysis reveals minimal engagement in inappropriate scenarios due to design limitations, focusing on preventing misuse while maintaining professionalism.
- Anthropic employs privacy-preserving tools to analyze user interactions with Claude to refine its capabilities and prioritize user safety, collaborating with experts to address ethical concerns in AI deployment.
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Hackernoon
7d
403
Image Credit: Hackernoon
Can the Law Compile? Legal Speech as Machine Code
- A forthcoming article explores the concept of executing legal norms like machine code without the need for interpretation.
- The article introduces the idea of Compiled Norms, focusing on formal syntax and computational execution in legal language.
- The framework distinguishes between declarative legal language and compiled legal language, emphasizing the importance of structural executability.
- The article presents a technical typology of computable legal speech based on grammatical hierarchy, closure structure, semantic ambiguity, and deterministic parsing.
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24 Likes
Hackernoon
7d
411
Image Credit: Hackernoon
Human Creativity in the Age of AI: To be Genuinely Curious and SPECTACULARLY Useless or Wrong
- Imagining new ideas and perspectives is crucial for human creativity and innovation.
- AI can also remix and create, but human agency is necessary for true innovation.
- Curiosity, questioning norms, and cultivating ideas are key to productive creativity.
- AI impacts information access and human cognition, raising concerns about autonomy.
- Ultimately, human connections and relationships drive creativity in ways AI cannot replicate.
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24 Likes
Dev
7d
591
Image Credit: Dev
AI & ML Courses in India: What You Need to Know Before You Enroll
- AI and ML are highly sought after skills across various sectors in India.
- Courses cover essentials like Python/R, deep learning, NLP, computer vision, and model deployment.
- Zenoffi's courses focus on real-world applications, live sessions, projects, and placement support at an affordable cost.
- AI is expected to significantly contribute to India's GDP by 2035, creating a surge in demand for skilled professionals.
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16 Likes
Medium
7d
332
Image Credit: Medium
Software 3.0: The Evolution of Software Development
- Software development has evolved through three paradigms: Software 1.0, 2.0, and 3.0, each representing a significant shift in approach.
- Software 1.0 involves traditional manual coding, whereas Software 2.0 utilizes machine learning for software development based on data-driven models.
- Software 3.0 is the latest paradigm where AI plays an active role in generating code and applications, reducing the need for manual coding.
- The shift from Software 1.0 to 3.0 signifies increasing AI integration in software creation, offering both challenges and opportunities for the future of computing.
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