The hottest AI Substack posts right now

And their main takeaways
Category
Top Technology Topics

UX Roundup: Time Estimates for Quant Projects | LinkedIn Rant | Benchmarking UX | Kazakhstan/Uzbekistan UX | Free AI Courses | New Music Tool

Jakob Nielsen on UX • 3 implied HN points • 11 Mar 24
🕹 Technology AI
  1. For quantitative user research projects, default time estimate is one month, divided into planning, data collection, analysis, and final results stages.
  2. LinkedIn algorithm reduces reach for posts with external links, hindering usability and user experience on the platform.
  3. Benchmarking UX quality over time can help track improvements, emphasize UX importance, and guide corrective actions when needed.

Tray.io AI-Augmented API Management, Dwolla Open Banking, JetBrains UI Testing API

The API Changelog • 3 implied HN points • 05 Mar 24
🕹 Technology AI
  1. Tyk introduces AI-augmented API management for collaborative integration and microservice creation, reducing technical debt and operational costs.
  2. Dwolla unveils Open Banking Services enhancing payment functions for seamless business integration and operational efficiency.
  3. JetBrains releases Compose Multiplatform 1.6.0 with a UI testing API, improving cross-platform UI testing and accessibility on iOS.

Unpluggers, Deflators etc. pt 3: Why Not Both?

Donkeyspace • 6 implied HN points • 16 Mar 23
🕹 Technology AI
  1. David Chapman's perspective on AI and technology is a blend of being skeptical and critical.
  2. Cultural dynamics and taste play a significant role in how technology impacts society.
  3. Attention is a valuable resource that shapes our interactions with technology and media.

Building on quicksand

Generating Conversation • 3 HN points • 07 Mar 24
🕹 Technology AI
  1. Stay updated with AI news, but avoid diving too deep into becoming an expert. Focus on relevance to your product.
  2. Design applications for flexibility to adapt to evolving technology. Consider configurable components for easier updates.
  3. Identify what aspects of your project are core and non-negotiable, versus what can be changed. Be clear on priorities to navigate the pace of innovation.

Read the Roon

Don't Worry About the Vase • 3 HN points • 05 Mar 24
🕹 Technology AI
  1. Roon is a key figure in discussing AI capabilities and existential risks, promoting thoughtful engagement over fear or denial.
  2. Individuals can impact the development and outcomes of AI by taking action and advocating for responsible practices.
  3. Balancing concerns about AI with a sense of agency and purpose can lead to more constructive discussions and actions towards shaping a beneficial future.
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Multimodal body language analysis and video captioning

Multimodal by Bakz T. Future • 1 implied HN point • 10 Feb 25
🕹 Technology AI
  1. Body language and facial expressions reveal a lot about our feelings and intentions in conversations. Understanding these cues can help people improve their social skills and manage anxiety.
  2. In the future, AI might analyze videos to help us understand social dynamics better. This technology could provide insights on how others perceive us in meetings or discussions.
  3. While analyzing body language can be beneficial, it might raise concerns about privacy and how we interpret our interactions. It's important to think about the impact of such technology on our social lives.

Week 81 - E9 - Google Gemini AI blunder: Ethical Considerations and Responsible AI in Product Management

The Product Channel By Sid Saladi • 3 implied HN points • 03 Mar 24
🕹 Technology AI
  1. Responsible AI practices are crucial to avoid unintended harm and build trust – especially as AI impacts critical areas like healthcare, justice, and finance.
  2. Key ethical risks in AI include perpetuating bias, lack of transparency, privacy violations, and negative societal impacts, making vigilance essential for product managers.
  3. Responsible AI principles like fairness, transparency, inclusiveness, accountability, and governance guide product managers in championing AI innovation while upholding ethical standards.

Apple's Project Titan is Out, Generative AI is In

Machine Economy Press • 3 implied HN points • 29 Feb 24
🕹 Technology AI
  1. Apple is investing heavily in Generative AI in 2024, signaling a strategic shift in their focus.
  2. Apple has halted their Project Titan for an autonomous electric car, redirecting their attention and resources to Generative AI.
  3. The competitive landscape in Generative AI is heating up with major players like Microsoft, Google, Meta, Amazon, and OpenAI evolving quickly.

Germany's giroAPI, MoneyHash $5.2M, BeyondTrust Compromised API Key

The API Changelog • 1 implied HN point • 04 Feb 25
🕹 Technology AI
  1. DeepSeek is under investigation for using OpenAI's models inappropriately, raising concerns about data security and ethical AI practices.
  2. Germany launched giroAPI, a new standardized API aimed at improving payment systems in Europe and enhancing financial technology competitiveness.
  3. BeyondTrust faced a security breach due to a compromised API key, which highlighted the importance of strong security measures in API management.

How Duolingo cleverly integrated AI into their app

Year 2049 • 4 implied HN points • 20 Oct 23
🕹 Technology AI
  1. Duolingo integrated AI to provide personalized feedback in language learning.
  2. Duolingo's Roleplay feature simulates real-life conversations to enhance language practice.
  3. The intentional design of AI features in Duolingo elevates user experience and learning outcomes.

Recent Layoffs Suggest Coders are being Replaced by AI

Machine Economy Press • 4 implied HN points • 18 Oct 23
🕹 Technology AI
  1. LinkedIn and Stack Overflow experienced layoffs affecting software engineers due to AI advancements.
  2. Companies like LinkedIn and Microsoft are reducing jobs in engineering and product teams to improve efficiency and transparency.
  3. Generative AI tools like GitHub Copilot may lead to decreased demand for software engineers in the future.

AI as UX

Apperceptive (moved to buttondown) • 6 implied HN points • 02 Mar 23
🕹 Technology AI
  1. Artificial intelligence is more of a metaphor for user interaction than just a system using machine learning.
  2. The term 'artificial intelligence' has evolved from a failed early definition to a marketing term, implying a human-like experience.
  3. User metaphors play a significant role in how people interact with computers, shaping their understanding and expectations.

Data Science Weekly - Issue 263

Data Science Weekly Newsletter • 19 implied HN points • 06 Dec 18
🕹 Technology AI
  1. Deep learning is rapidly evolving, and it's important to track these changes to stay updated in the field.
  2. AI is changing jobs; while some roles may vanish, there is a growing demand for skilled professionals who can work with AI.
  3. Machine learning is being used in creative ways, like predicting grocery item availability and generating addresses from satellite images.

Data Science Weekly - Issue 261

Data Science Weekly Newsletter • 19 implied HN points • 22 Nov 18
🕹 Technology AI
  1. AI tools are becoming more accessible, and new tools will help make AI more like general computing. This change could allow more people to work with AI easily.
  2. There's a strong need for better testing in data science, similar to what software developers do. Good testing can help avoid big problems from data errors.
  3. Deep learning is being explored in exciting new ways, such as detecting diseases in X-rays. These advancements could lead to better healthcare solutions.

The Diminishing Charm of AI: Are Chatbots Losing Their Luster?

The AI Observer • 3 implied HN points • 20 Feb 24
🕹 Technology AI
  1. AI models are experiencing performance degradation over time due to user interactions, highlighting the need for ongoing monitoring and adaptation to maintain effectiveness.
  2. Chatbots have shifted from unpredictable entities to function-focused tools, raising concerns about their lack of engagement and personality.
  3. Model drift, including concept drift and data drift, can lead to unreliable machine learning predictions, impacting decision-making, customer satisfaction, financial outcomes, and trust in AI systems.

Nylas API v3, MuleSoft PDK,Escape Found 18K+ Leaked Secrets

The API Changelog • 3 implied HN points • 14 Feb 24
🕹 Technology AI
  1. API trends in 2024 include a dynamic ecosystem of tooling, AI integration, and the rise of API product managers for enterprise success with a focus on governance and visibility
  2. Companies like Nylas, MuleSoft, and BlueBox Systems are introducing new API solutions to enhance performance, security, real-time tracking, & urban infrastructure development
  3. Security remains a critical concern with news of over 18,000 exposed API secrets discovered by the team at Escape, emphasizing the importance of token management and regular rotations

Air Canada wants Personhood for AI

GOOD INTERNET • 3 implied HN points • 19 Feb 24
🕹 Technology AI
  1. Air Canada argued that its chatbot is a separate legal entity responsible for its own actions, sparking debates about AI personhood.
  2. AI systems are not legally considered persons; corporations developing AI are responsible for their actions.
  3. Recognizing legal personhood for AI could make AI accountable for its actions and open up possibilities for lawsuits.

Apple Advance Commerce API, Highnote $90M, Perplexity Sonar

The API Changelog • 1 implied HN point • 28 Jan 25
🕹 Technology AI
  1. Apple launched a new Advanced Commerce API to help developers manage in-app purchases more easily. This API supports apps with large content libraries and complex subscription needs.
  2. Highnote raised $90 million in funding to improve its card issuance platform, aiming to streamline payment processes for businesses. The company is expanding its offerings to make payments easier for small and large enterprises.
  3. Perplexity introduced an API called Sonar that integrates generative AI search capabilities into applications. This tool promises to provide accurate answers and is aimed at making AI-driven tools more accessible for developers.

How well can AI imitate a 17th century doctor?

Res Obscura • 3 HN points • 16 Feb 24
🕹 Technology AI
  1. Long-distance traveling in the premodern world was incredibly dangerous and interesting, taking years from one continent to another.
  2. Generative AI tools like customized GPTs are being used in historical research and as educational tools to simulate historical scenarios.
  3. Comparison between different AI models, like GPT-4, Gemini, and MonadGPT, showed various levels of success in simulating a 17th century doctor's mental models, advice, and speech patterns.

The Sorcerer’s Apprentice: Applied AI for Data

Perspectives • 3 implied HN points • 09 Feb 24
🕹 Technology AI
  1. Illustrates the importance of utilizing AI in data analytics wisely to avoid potential risks and maximize benefits
  2. Provides practical tips on how to apply AI in data work, such as using tools for natural language processing, coding assistance, and documentation
  3. Highlights the gap between current AI capabilities and the ideal automation of analytics, emphasizing the role of asking the right questions in data work

Data Science Weekly - Issue 259

Data Science Weekly Newsletter • 19 implied HN points • 08 Nov 18
🕹 Technology AI
  1. Seattle and Houston provided large amounts of email metadata quickly, but Seattle's request came with a twist that led to an accidental extensive data collection.
  2. A machine-learned model called FINDER is being tested to detect foodborne illnesses in real-time using web search and location data.
  3. There are innovative projects like 'dankstimate' which aim to create a cannabis price estimator similar to Zillow's home price estimates.

Unlocking the Power of DALL·E 3 in C#: A Comprehensive Guide for .NET Enthusiasts

The AI Observer • 3 implied HN points • 14 Feb 24
🕹 Technology AI
  1. DALL-E 3 in C# allows for high-quality image generation from textual descriptions with unique features like text incorporation, landscape/portrait compatibility, and intricate prompt interpretation
  2. Implementing DALL-E 3 in C# requires understanding API parameters and making adjustments like model selection, image dimensions, and quality for tailored image generation
  3. To avoid rate limit issues, consider upgrading plans for higher limits and be mindful of pricing details for different image quality options with DALL-E 3 in C#

SmartBear Hubs with HaloAI, Quantifind $22M, BeyondTrust API Key Breach

The API Changelog • 1 implied HN point • 21 Jan 25
🕹 Technology AI
  1. OpenAI is launching its new o3-mini AI model soon. This model is smaller and more efficient, designed to help developers create voice apps quickly.
  2. Quantifind has raised $22 million to improve how financial crime is detected using AI, making it easier to find suspicious transactions.
  3. BeyondTrust faced a security issue where a compromised API key led to unauthorized access, highlighting the importance of keeping such keys safe.

Data Science Weekly - Issue 254

Data Science Weekly Newsletter • 19 implied HN points • 04 Oct 18
🕹 Technology AI
  1. You can calculate the age of the universe using SQL to analyze data from various databases. It's easier than it sounds and can lead to interesting insights.
  2. Training deep learning models on phones and other small devices is now possible but still challenging. There are teams making it work, but the tools available aren't very user-friendly yet.
  3. Big data is starting to change genetic research a lot. New techniques are creating huge amounts of data, which helps scientists discover new things but also keeps them busy trying to catch up.

Visions

GOOD INTERNET • 3 implied HN points • 04 Feb 24
🕹 Technology AI
  1. AI-Desinformation's impact is debated and may not be as significant as perceived.
  2. Apple's Vision Pro headset presents limitations like isolation and size, despite innovative features.
  3. The concept of a universal reader app like Project Tapestry offers a solution to the fragmented web experience.

Unboxing the Tenstorrent Grayskull AI Developer Kit

More Than Moore • 3 HN points • 31 Jan 24
🕹 Technology AI
  1. Getting hardware into the hands of developers is crucial for AI start-ups to succeed.
  2. The Tenstorrent Grayskull AI Developer Kit provides two versions - e75 and e150, designed to engage developers and receive feedback on software stacks.
  3. The kit comes with easy setup instructions, high and low-level software stacks (TT-Buda and TT-Metalium), and a focus on transparency and community engagement.

Issue #79: Visa Gets In On Stablecoin Summer, Monzo Takes On Scam Callers, And ThetaRay Secures $57M To Fight Money Laundering

Fintech Radar • 4 implied HN points • 11 Sep 23
💰 Finance AI
  1. Visa expands stablecoin settlement capabilities by partnering with merchant acquirers, facilitating instant payment authorizations.
  2. Temenos introduces a generative AI tool to automatically classify customer banking transactions, potentially revolutionizing banking processes.
  3. ThetaRay raises $57M for AI tools to fight money laundering, showcasing the increasing importance of compliance-focused startups in fintech.

Data Science Weekly - Issue 252

Data Science Weekly Newsletter • 19 implied HN points • 20 Sep 18
🕹 Technology AI
  1. A team found a surprising pattern in prime numbers, linking them to natural crystal patterns. This challenges the idea that prime numbers are completely random.
  2. DeepMind's AI is being used in Android Pie to help improve battery life, showing how AI can impact everyday technology. It's interesting to see if this actually makes a difference for users.
  3. Transfer learning makes it easier to solve problems by using knowledge from similar tasks. This approach saves time and resources in the field of deep learning.

Data Science Weekly - Issue 251

Data Science Weekly Newsletter • 19 implied HN points • 13 Sep 18
🕹 Technology AI
  1. AI systems, like Amazon's Echo, rely on many factors, including resources and labor. Understanding these can give insights into the complexity of AI.
  2. Fake news can significantly impact politics, and there's now a mathematical model to help simulate how it influences voting. This shows the power of accurate models in understanding societal effects.
  3. There are new tools and techniques in machine learning that make it easier to analyze and improve models. Resources like the 'What-If' tool let users explore machine learning without needing to code.

Viva la Revolución Of...Open Source Large Language Models?

I'll Keep This Short • 5 implied HN points • 08 May 23
🕹 Technology AI
  1. Open source Large Language Models are challenging centralized models like GPT-4, offering comparable quality at a lower cost.
  2. Companies like OpenAI face financial challenges in developing and maintaining cutting-edge AI technology.
  3. Google acknowledges the threat of open source LLMs, highlighting the need for collaboration and reevaluation of value propositions in the AI market.

Data Science Weekly - Issue 247

Data Science Weekly Newsletter • 19 implied HN points • 16 Aug 18
🕹 Technology AI
  1. Data science is an evolving field, and experts suggest there's still much to learn and improve upon.
  2. New tools and resources, like machine learning platforms, can help workers identify skills they need to develop.
  3. Collaboration between industry and academia can drive more innovation in artificial intelligence.

The weight of history on diagnosis

Perambulations • 3 implied HN points • 10 Jan 24
🏥 Health & Wellness AI
  1. Medicine categorizes diseases to enhance longevity and quality of life.
  2. Historical nosology focused on causes of disease, leading to unique categorizations.
  3. Improved diagnosis through understanding disease mechanisms and using AI for documentation and testing support.

Daily Exasperation #13

Exasperated Infrastructures • 4 implied HN points • 21 Aug 23
🏝 Travel AI
  1. The author loves Seattle and wants to help improve transportation and make the city safe and equitable.
  2. Mount Rainier adds a magnificent touch to daily life in Seattle, a feature absent in East Coast cities.
  3. Seattle's collaborative transportation system, although efficient, still struggles with coordination between different agencies.