The hottest Substack posts right now

according to Hacker News
Category

The Modern ML Stack is broken, but it won't be for long

Entry Level Investing • 184 implied HN points • 20 Feb 23
🕹 Technology Tech startups AI Data
  1. AI infrastructure is essential for organizations to participate in the AI revolution.
  2. The current ML infrastructure landscape is messy, and there is a need for consolidated solutions.
  3. Entrepreneurs have a huge opportunity to build enduring businesses by focusing on end-to-end ML application offerings and addressing the challenges in the AI infrastructure space.

Dandelions

Sunday Letters • 39 implied HN points • 14 May 23
📖 Philosophy Mindfulness Engineering Nature Life lessons Problem Solving
  1. Don't get too caught up in your goals. Sometimes, focusing too much on a single goal can lead to missing out on other enjoyable aspects or better solutions.
  2. Like trying to fight dandelions in a lawn, we can get fixated on solving problems the wrong way. It's important to recognize when a goal isn't worth the struggle.
  3. Regularly step back and assess if you're on the right path. Taking a moment to rethink can often reveal simpler and more effective options.

✅ The GPT-3 marketing and public relations practitioner

Wadds Inc. newsletter • 59 implied HN points • 12 Jan 23
🕹 Technology Public Relations Digital marketing Automation AI Tools Content creation
  1. AI tools like GPT-3 can help with content creation, but you must fact-check the information they give you. Sometimes they can mix reality with fiction.
  2. GPT-3 can quickly summarize text and analyze topics, which is helpful for tasks in public relations and marketing. This makes work faster and easier.
  3. However, there's a risk of spreading misinformation if we rely too much on these tools. It's important to be careful and ensure content is accurate.

Why Blackrock invested into FTX[Finance Fridays]

Technology Made Simple • 39 implied HN points • 10 Dec 22
💼 Business Technology Startups Entrepreneurship Venture Capital Investing
  1. Smart money investors may not always thoroughly understand the businesses they invest in, sometimes basing decisions on trends or buzzwords rather than solid research.
  2. Investors like Blackrock may invest in numerous startups, making it feasible for them to overlook losses in some investments if one startup gives a significantly high return.
  3. Investors can get caught up in hype and euphoria, leading them to invest in companies that may not be sound businesses, with the main goal often being a profitable exit rather than the success of the business.

The Rethinking Work Show

The Future Does Not Fit In The Containers Of The Past • 15 implied HN points • 08 Jun 25
💼 Business Leadership Workplace Trends Technology
  1. Work is changing fast, and it's becoming super flexible. More people can choose where they work and how they do it.
  2. Companies that let employees work from anywhere are growing quickly and attracting better talent. Many are realizing that forcing people back to the office isn't beneficial.
  3. Each company should find its own way of working instead of using a one-size-fits-all approach. Different teams might need different styles to succeed.
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Faking OpenAI - Unit testing in the age of LLMs (Part Two)

Laszlo’s Newsletter • 27 implied HN points • 02 Mar 25
🕹 Technology Python Software Development Machine Learning Artificial Intelligence Unit Testing
  1. Dependency Injection helps organize code better. This makes your testing process simpler and more modular.
  2. Faking and spying in tests allow you to check if your code works without relying on external systems. It gives you more control over your testing!
  3. Using structured testing techniques reduces mental load. It helps you focus on writing clean tests instead of remembering complicated mocking syntax.

June 17, 2024

The Grasp • 3 HN points • 17 Jun 24
🕹 Technology Data Models Startups Robots AI
  1. Stanford's new research simplifies training humanoid robots using human body and hand poses, revolutionizing data collection for robot learning.
  2. The open-source Vision-Language-Action model, OpenVLA, showcases improved robotic control and performance, highlighting the benefits of collaborative industry contributions.
  3. Harvard and Deepmind's study on virtual rodent brain activity provides insights into brain-controlled motion, with potential implications for brain-machine interfaces and robotics.

"He had relaxed for one day. And he had lost"

Kvetch • 43 implied HN points • 02 Nov 24
💼 Business Acquisitions Investing Private Equity Finance Mergers
  1. Winning doesn't mean you're safe; you have to keep working to stay ahead. A single misstep can lead to losing everything.
  2. In a competitive environment, confidence can be dangerous. Overestimating your position might let opponents take advantage.
  3. Timing and knowledge are crucial in business deals. A well-timed offer can change the game, just like knowing when to reveal important information in politics.

#31 Episode - VC Funds Regulatory Playbook

Law of VC • 89 implied HN points • 20 Feb 24
💼 Business Regulations Venture Capital Compliance Funds
  1. The Carta Policy Team released a comprehensive VC Regulatory Playbook that simplifies the complex SEC rules for emerging fund managers.
  2. The playbook covers crucial topics including the regulation of fundraising, private funds, and fund managers along with an ERA Compliance Checklist.
  3. Fund managers can learn about specific regulations such as the Section 3(c)(1) and 3(c)(7) exemptions, the requirements for venture capital funds, and the importance of filing a Form ADV.

Accessibility Has Failed: Try Generative UI = Individualized UX

Jakob Nielsen on UX • 89 implied HN points • 29 Feb 24
🕹 Technology UX Design User Interface AI Accessibility
  1. Traditional accessibility methods have not significantly improved computer usability for disabled users, prompting the need for a new approach like Generative UI for tailored user experiences.
  2. Accessibility has faced challenges due to high costs and ultimately creating a subpar user experience, especially for blind users with auditory interfaces.
  3. Supporting older and low-literacy users has been more successful with current methods, highlighting the importance of considering their needs alongside generative UI for wider user inclusivity.

Under the microscope: Mat Hoffman's Pro BMX & Dave Mirra Freestyle BMX (Dreamcast, PlayStation)

Rings of Saturn • 14 implied HN points • 25 Jun 25
🕹 Technology Game Development Software Programming Cheat Codes Video Games
  1. You can unlock all characters and bikes in 'Mat Hoffman's Pro BMX' with a specific button code. Just remember to follow the right sequence at the title screen.
  2. There are some cool pause menu codes for 'Mat Hoffman's Pro BMX' that let you do things like slow motion and show the balance meter. It's a fun way to play the game!
  3. In 'Dave Mirra Freestyle BMX,' there's a hidden cheat code to unlock all characters, including the 'Amish Boy.' You just have to enter the right code after unlocking another character.

Stay the hell away from anything that's not cloud portable

DevOps, K8s, and the Cloud • 6 HN points • 24 Apr 24
🕹 Technology Serverless Computing Cloud Computing
  1. Stick to using standard, open, and protocol-compliant resources whenever possible for cloud portability.
  2. If leveraging proprietary capabilities, wrap them in clean abstractions to swap out implementations across clouds easily.
  3. Prioritize cloud portability early to avoid the risks of vendor lock-in and technical debt in the future.

In praise of hard optimization

Sunday Letters • 59 implied HN points • 09 Jan 23
🕹 Technology Software Engineering AI Programming Optimization
  1. New AI models are exciting, but they come with their own challenges, like performance limits and the need for optimization. It's important for developers to tackle these constraints creatively.
  2. In the past, developers had to deal with strict limits on memory and processing power. Today, while we have more resources, financial constraints can also impact performance.
  3. Now is a good time to revisit basic computer science skills and focus on optimization. Solving tough engineering problems can be hard, but it’s also very rewarding.

Origins Juggling Update

The Lunacian • 92 implied HN points • 14 Feb 24
🕹 Technology Gaming
  1. Axie Infinity is addressing the issue of juggling in the game to ensure fairness and genuine achievement among players
  2. A new rule requires that axies used in the Arena during the last 3 days of an era must stay in the user's account until the era ends to be eligible for rewards
  3. Players are no longer allowed to juggle, borrow, or share axies as a shortcut to win against more competitive opponents

So you want to be a UX researcher?

UX Psychology • 79 implied HN points • 27 Mar 22
🕹 Technology Networking UX Research Academia Online presence Learning Resources
  1. Before transitioning to UX research, consider if it aligns with your interests and flexibility needs, as it differs from academic research.
  2. Networking with UX professionals, establishing an online presence, and engaging in enterprise activities can help you break into the industry.
  3. Developing transferrable skills, learning more about UX through various resources, and crafting an industry-focused CV are crucial steps for transitioning from academia to UX research.

That Time I Made a Site for Entourage

Meanwhile, on the other side of my brain... • 3 HN points • 17 Jun 24
🕹 Technology Web Development Client Relations Content creation Video Production
  1. Working on high-stakes projects with high-profile clients requires clear communication and managing expectations.
  2. Handling technical challenges and chaotic situations can lead to valuable learning experiences and skill development.
  3. Prioritizing having the right team members in critical project phases like filming can make or break the success of a project.

The Age of Feature Engineering is Here

From the New World • 37 implied HN points • 11 Dec 24
🕹 Technology Economics Engineering Machine Learning AI Innovation
  1. Specialization in technology makes things easier and more efficient. Just like we have different appliances for different tasks at home, specialized AI works better for specific jobs.
  2. Feature engineering is about creating AI that focuses on one thing really well, and it's actually really important for success in the tech world. It helps make machines smarter for real-life uses.
  3. The idea that one all-purpose AI model is best is a myth. In reality, there’s a growing trend toward making AI more specialized and tailored to different needs.

Deterministic Simulation Testing - Antithesis

Why Now • 1 implied HN point • 20 Jan 26
🕹 Technology Virtualization Software Engineering Distributed Systems Testing Infrastructure DevOps
  1. Deterministic simulation testing runs your entire distributed system inside virtual machines controlled by a deterministic hypervisor so each test run is reproducible. It replaces wall-clock time with instruction-count-based virtual time so timing-dependent bugs can be replayed exactly.
  2. The platform combines property-based testing, fuzzing, and fault injection to automatically explore many scenarios and surface rare race conditions. All tests run in sandboxed clones of production so you can inject network blips and failures without risking real users.
  3. Determinism is achieved with techniques like single-core execution, intercepted time calls, and deterministic I/O plus numerous micro-optimizations. The outcome is precise, replayable failures that make debugging and fixing distributed-system bugs much easier.

Consumer-focused API Design

The API Changelog • 1 implied HN point • 17 Jan 26
🕹 Technology Product Management Developer Experience Software Engineering API design User Experience
  1. Design APIs by engaging real users first and doing product discovery so you define problems, needs, and value before building anything.
  2. Use user stories that name the user, their location (tool/context), their goal, and the benefit; these details guide the right API style and workflows.
  3. Treat API capabilities as business-aligned features that deliver clear benefits and marketable value, and adopt a product-focused mindset instead of designing for engineering convenience.

Morgan Stanley-Backed TomoCredit Isn't Paying Its Bills, Faces Mounting Legal Challenges

Fintech Business Weekly • 89 implied HN points • 18 Feb 24
💰 Finance Credit Legal Challenges Startups Banking Fintech
  1. TomoCredit, a startup backed by Morgan Stanley, is facing financial troubles and legal challenges despite its initial success claims.
  2. Mission Lane, a subprime card startup linked to LendUp, has raised $50 million and replaced its CEO in an effort to reposition itself.
  3. A study by the Federal Reserve reveals differences in how financially stable versus fragile households utilize buy now, pay later services, impacting the types and frequency of purchases made.

Evaluating UX in robots

UX Psychology • 39 implied HN points • 11 Nov 22
🕹 Technology Usability testing UX Robots
  1. Robots are being increasingly utilized, especially in response to crises like the pandemic, where they help in multiple ways from monitoring patients to making deliveries.
  2. When evaluating social robots for usability, methodologies include using textual descriptions, video demonstrations, live interactions, and the Wizard of Oz method.
  3. Evaluation dimensions in social robot studies cover utilitarian aspects like ease of use, emotional appeal, and trust, with methods like questionnaires, interviews, biometrics, and video analysis.

Jobs and Opps at The Royal Television Society, The British Library, The Grand Opera House, and Many, Many More🎭

Journo Resources - The Opportunities • 39 implied HN points • 11 Jul 23
💼 Business Journalism Jobs Media Technology Writing
  1. Retro tech trend with 'dumbphones' is emerging among Gen Z to switch off more effectively
  2. Journalists face challenges in completely switching off due to constant access to work through smartphones
  3. Various job opportunities in journalism and media industry, from editing to content creation roles

Cohere Coral

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 23 Nov 23
🕹 Technology User Interfaces APIs Data Privacy AI Chatbots
  1. Cohere Coral is a chat interface that uses large language models and competes with others like ChatGPT. It's designed to be easy to use with no coding required.
  2. Coral can either answer questions based on its existing knowledge or look up information online for the latest answers. This helps provide accurate and timely responses.
  3. The tool allows businesses to customize its features and ensures that data stays private. It's a great option for companies looking to enhance their customer interaction.

Hey, GPT-4, Make Way!

aidaily • 19 implied HN points • 23 Nov 23
🕹 Technology Machine Learning Robotics Software AI
  1. OpenAI is shifting from cautious AI development to a more capitalist approach, focusing on corporate interests over AI potential hazards.
  2. Dedicated AI benchmarks in nuclear engineering aim to improve predictions for safe reactor operations, promoting design and operational optimizations.
  3. New AI models, like Claude 2.1 from Anthropic, are advancing with larger token sizes and reduced 'hallucination rates', leading the way in AI conversations.

Neutrality

Rough Diamonds • 40 implied HN points • 13 Nov 24
📖 Philosophy Ethics Epistemology Social Philosophy Political theory Metaphysics
  1. Neutrality is about treating all opinions equally, which helps people work together despite their differences. It’s important for creating spaces where cooperation can happen without conflict.
  2. Our current systems often lack trust and a shared understanding, making it hard for people to agree on basics. Building new systems of trust is crucial for moving forward.
  3. Institutions need to be more than just neutral; they should create a framework that supports healthy discussions and diverse viewpoints. This way, people can feel both included and understood.

They're Lying To You About AI Agents

Theology • 29 implied HN points • 30 Jan 25
🕹 Technology Automation AI Digital Transformation Organizational Change
  1. Businesses need to understand their own processes before using AI. If they don't know how things work, they can't expect AI to help them effectively.
  2. Using many different AI agents can make things more complicated, not easier. It could create a messy system that is hard to manage.
  3. AI agents can't replace human intuition or creativity. They follow strict rules and won't come up with new ideas or solutions.

Work isn't what you think it is

Sunday Letters • 159 implied HN points • 17 Oct 21
💼 Business Career Advice Success Passion Impact Work Culture
  1. Your career path is unique, and it’s shaped by random events and choices, not just a clear plan. Don’t try to follow someone else’s journey; create your own.
  2. Having a lot of impact in what you do is key to long-term success. Focus on what matters to you and makes a difference.
  3. Passion for your work can lead to success and satisfaction. Enjoying what you do doesn’t mean it’s not valuable, so embrace what you love.

The Bias vs Variance Tradeoff [Math Mondays]

Technology Made Simple • 39 implied HN points • 06 Dec 22
🕹 Technology Data science Tech Education Deep Learning Statistics Machine Learning
  1. Understanding the Bias-Variance Tradeoff is crucial in Data Science and Machine Learning.
  2. Bias in a Machine Learning Model refers to prediction errors, while Variance accounts for the spread in predictions.
  3. High Bias can lead to underfitting, where the model doesn't grasp the data pattern fully, while High Variance can result in overfitting, where the model learns noise in the data.

Think like a Plumber, not a CEO | LSW#58

The Leading Sapiens Weekly • 40 implied HN points • 21 Nov 24
💼 Business Productivity Creativity Mindset Leadership Work Culture
  1. Knowledge work shouldn't just rely on inspiration or perfect conditions. Showing up consistently, like a plumber, leads to real progress.
  2. Instead of waiting for creativity to strike, focus on making a routine and setting clear goals. This structure helps reduce stress and improves productivity.
  3. It's important to value practice and effort over perfection. Producing more often can actually improve the quality of your work over time.

Can AI power nudgeware?

12challenges • 85 implied HN points • 11 Mar 24
🕹 Technology Interoperability Software AI Challenges
  1. Nudgeware is a concept of software empowering users to make better decisions without restricting choice.
  2. AI has the potential to enhance nudgeware by interpreting, aligning with, and acting as an agent for human intentions.
  3. Challenges to implementing AI-powered nudgeware include high development costs, limitations of existing software, and increased risks associated with AI control.

GPT-4 Doesn't Have "Gender Bias." It's Just Bad At Language (Still)

jonstokes.com • 154 implied HN points • 18 May 23
🕹 Technology Language processing Data Analysis Engineering Software Artificial Intelligence
  1. Different approaches to evaluating AI performance have practical implications in development, deployment, and regulation.
  2. Language models like GPT-4 struggle with resolving ambiguity in human language due to limitations in understanding context.
  3. Using an engineering approach, providing relevant context, and improving language parsing can help mitigate language model biases and inaccuracies.

What have we learned about generative AI and ourselves since ChatGPT was released?

ailogblog • 19 implied HN points • 22 Nov 23
🕹 Technology AI Research Ethics Machine Learning Education
  1. Generative AI like ChatGPT has shown potential for efficient completion of mundane tasks, impacting education practices and easing administrative burdens.
  2. There is a growing tension between transparency/openness and secrecy in the development of AI technologies, raising concerns about potential risks and ethical implications.
  3. The use of large language models (LLMs) like ChatGPT has expanded the 'uncanny valley' to language, triggering discussions about data quality, environmental impact, and responsible development of AI.