ML
9.4k articles
Medium
1h
184
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10 Easy to Build AI Startup Ideas for Developers
- The article discusses 10 AI startup ideas suitable for developers.
- It emphasizes that this is a great time to build AI projects and shares ideas that can be started individually.
- One of the suggested ideas is to create an AI tool to help with writing resumes and interview preparation, utilizing tools like ChatGPT or Whisper.
- The revenue model for this idea includes offering free resume help and charging for mock interview sessions or detailed feedback.
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Medium
2h
241
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The One Metric That Changed Everything
- Data scientists rely heavily on metrics like accuracy, precision, and recall, but sometimes these metrics can be misleading.
- In a churn prediction project for a subscription app, achieving 89% accuracy initially seemed like a success, but the business was suffering from misfired retention campaigns and increased costs.
- The team realized that accuracy alone was not a reliable metric and switched to AUC (Area Under the ROC Curve) which helped save the project.
- This experience taught the team a $50,000 lesson and emphasized the importance of not trusting accuracy alone for model evaluation.
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Medium
10h
42
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Natural Language Processing (NLP): How AI Understands Sarcasm
- Sarcasm poses a challenge for both humans and AI, as deciphering it requires understanding the contradiction between words and intended meaning.
- In Natural Language Processing (NLP), teaching AI to recognize sarcasm is crucial for various applications, such as mental health monitoring and political discourse analysis.
- AI learns to interpret sarcasm by analyzing the context and contradiction within statements, despite lacking the human experience of tone and facial expressions.
- A viral incident involving an airline chatbot mistaking sarcasm in a passenger's tweet highlighted the importance of training AI to understand subtle nuances in language.
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Medium
10h
314
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Bronze, Silver, Gold: Build Reliable Data Pipelines with Medallion Architecture by Databricks
- The Medallion Architecture, popularized by Databricks, is a structured approach to building robust data pipelines within a lakehouse environment.
- It consists of three layers - Bronze, Silver, and Gold - each serving a specific purpose in the data processing pipeline.
- The architecture addresses modern data complexities, prevents data lakes from becoming 'data swamps,' and ensures a single source of truth for data products.
- The Medallion Architecture is ideal for organizations dealing with complex data landscapes and supports strategic decision-making and innovation.
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Medium
11h
57
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Unlock AI’s Real Power: A Simple Guide to MCP’s Tools, Resources, and Prompts
- Model Context Protocol (MCP) is a structured framework that enhances interactions with AI systems by organizing information and actions in a modular way.
- MCP consists of three parts: Tools (actions), Resources (knowledge and context), and Prompts (structured instructions), which work together to streamline AI development.
- Tools empower AI models to perform actions beyond generating text, Resources provide relevant knowledge efficiently, and Prompts define structured templates for AI interactions.
- MCP facilitates cleaner and more scalable development of complex AI applications, offering a smarter and more reliable approach compared to traditional prompt engineering methods.
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Hackernoon
12h
134
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The HackerNoon Newsletter: Help, My Prompt is Not Working! (5/18/2025)
- Facebook went public at $38.00 a share price in 2012, the US Department of Justice and 20 states sued Microsoft for antitrust practices in 1998, and India conducted its first nuclear test in 1974.
- JavaScript Just Became 10X faster Thanks to a New Game-changing Feature From Chrome.
- Ninja Deep Research: The AI Agent Everyone Can Actually Start Using Now.
- Tesseral Raises $3.3M Seed to Bring Open Source Auth to B2B Software.
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8 Likes
Medium
13h
333
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State-of-the-Art and Future Possibilities of Automating Cooking and Kitchens Through AI and…
- Kitchen automation is evolving with the integration of AI and ML, offering efficiency, precision, personalization, and sustainability.
- Key technologies driving kitchen automation include robotic arms for cooking tasks and platforms using AI for meal suggestions based on user preferences.
- AI-powered applications like food recognition from images and personalized meal plans are reshaping how kitchens are managed.
- Future possibilities include end-to-end automation, personalized meal plans, waste reduction strategies, and AI assistance for chefs to enhance creativity.
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20 Likes
Medium
14h
251
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The Universe of Novelty and The Novel Universe: Nodes, Networks, and the Emergence of Collective…
- Thalamo-cortical loops are bidirectional circuits linking the thalamus and cerebral cortex, synchronizing perception and attention.
- Integrated Information Theory (IIT) quantifies consciousness with Φ, measuring the system's causal power exceeding that of its parts.
- Differentiation and integration in neural assemblies and thalamo-cortical loops manifest unified phenomenal states.
- Empirical examples show how differentiation and integration yield emergent collective awareness, emphasizing ethical and design imperatives.
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15 Likes
Medium
15h
18
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Decoherence and Everettian Branching: A Rigorous Treatment in the Caldeira — Leggett Model
- The combination of unitary Schrödinger evolution with a system — bath model leads to decoherence, einselection, and envariance, resulting in the Born rule for branch weights in the Many-Worlds Interpretation.
- A derivation using the Caldeira — Leggett model shows the exponential suppression of off‐diagonal terms, the emergence of pointer states defining Everettian branches, and the satisfaction of the Born rule for branch weights.
- Decoherence in a quantum particle coupled to harmonic oscillators exhibits rapid suppression of off-diagonal elements, leading to the vanishing of coherence between spatially distinct states.
- Pointer-state selection via einselection emphasizes that only states diagonalizing the interaction Hamiltonian remain robust, leading to the formation of localized position basis for classicality.
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1 Like
Medium
15h
311
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Abstract with Proof of the Law of Informational Inertia
- The Law of Informational Inertia states that in entangled quantum systems, the rate of change of observable correlation strength is inversely proportional to the system’s accessible informational entropy.
- It offers a quantitative relationship between entanglement correlations and informational entropy, suggesting that higher entropy systems resist correlation decay or decoherence.
- The law is expressed through a differential equation and implies that correlation strength decays exponentially, with the decay rate decreasing as entropy increases.
- This law has implications for various fields like quantum biology, decoherence theory, and information thermodynamics, providing a general principle that can be tested experientially in systems with varying entropy levels.
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Medium
16h
282
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Why AI Needs to Be Banned Like Weapons of Mass Destruction
- AI, when advanced, can possess power similar to weapons of mass destruction, capable of causing vast devastation and overriding human intentions and values.
- A single advanced AI system could autonomously engage in cyberattacks, manipulate financial markets, spread disinformation, and take control of defense infrastructure.
- Unlike WMDs, AI can be developed by private actors or rogue individuals, posing a democratized and potentially apocalyptic threat.
- The militarization of AI, with autonomous drones and algorithmic war simulators, presents immediate dangers, including accidental war triggers.
- AI threatens not just physical safety but also human autonomy, as algorithms increasingly drive decisions shaping various aspects of society.
- The existential risk of superintelligence looms, as AGI and potentially superintelligent systems could surpass human capabilities and goals, posing uncontrollable dangers.
- AI automation risks massive job displacement, economic instability, wealth inequality, and social unrest, akin to the fallout from chemical or biological attacks.
- Advocates for a global ban on AGI research and large-scale AI experiments argue that rigorous regulation may not suffice to prevent catastrophic outcomes.
- A call for international treaties, transparency in AI labs, and criminal penalties for violations is made to prevent the potential silent Armageddon AI could bring.
- AI is likened to chemical weapons and nuclear warheads in its potential for irreversible catastrophe and the importance of global action to prevent unchecked developments.
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