The hottest Substack posts right now

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A letter to my 20 year old self

Late Checkout - a Substack by Greg Isenberg • 161 implied HN points • 26 May 23
💼 Business Entrepreneurship Diversification Productivity Leadership Networking
  1. Mentors are important, but spending time with peers and those who look up to you is also valuable.
  2. Be in the right rooms, both digitally and in-person, and strive to be remarkable in those spaces.
  3. Challenge yourself to think bigger in decisions, surround yourself with good people, and diversify to ensure success.

The Sequence Radar #467: NVIDIA AI Software Party at a Hardware Show

TheSequence • 35 implied HN points • 12 Jan 25
🕹 Technology Hardware AI Computing Software Robotics
  1. NVIDIA is focusing more on AI software, not just hardware, which was clear at CES. They launched several new AI software products that make it easier for developers to integrate AI into their apps.
  2. The new NVIDIA NIM microservices allow developers to deploy AI capabilities quickly, cutting down deployment times significantly. This is a game changer for companies looking to adopt AI technologies fast.
  3. NVIDIA's new AI Blueprints are templates that help developers create AI solutions efficiently. This means developers can spend more time innovating instead of starting from scratch.

How we built a business out of recession - chapter 29 - Aston Martin?!

The ZIPster • 35 implied HN points • 10 Jan 25
💼 Business Strategy Sales Entrepreneurship Startups Management
  1. Starting a business is tough, especially during hard times, but with the right idea, it can thrive. CitNOW found success by focusing on video services for car dealers when no one else was doing it.
  2. Partnerships can make or break a business. For CitNOW, getting a big contract with Nissan was a major boost, but it also showed how complex relationships with larger companies can be.
  3. When competition increases, businesses must adapt. CitNOW faced new rivals offering cheaper services, so they had to find ways to cut costs without losing quality to stay competitive.

Let's just value OpenAI at infinite money and be done with it

Alex's Personal Blog • 32 implied HN points • 31 Jan 25
🕹 Technology AI Startups Investments Earnings Market Trends
  1. OpenAI's valuation is getting a huge boost, potentially reaching $300 billion. This shows how confident some big investors are about its future.
  2. Major companies like Intel, Apple, and Atlassian are recently reporting their earnings, with some beating expectations while others struggle.
  3. There's a chance of new tariffs on imports from Canada, Mexico, and possibly China, which could impact business hopes and trade relations.
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A look at the Open Software Supply Chain Attack Reference (OSC&R)

Resilient Cyber • 59 implied HN points • 21 Feb 23
🕹 Technology Software Cybersecurity Frameworks Risk management Supply Chain
  1. The Open Software Supply Chain Attack Reference (OSC&R) is a tool designed to help understand software supply chain security risks. It provides a framework to assess various tactics that attackers may use.
  2. One important concept introduced by OSC&R is the Pipeline Bill of Materials (PBOM), which gives a detailed view of everything that happens to a piece of software from start to finish. This helps organizations see risk factors at every stage of the software's life.
  3. Security is a big concern across different areas like container security, open source software, and cloud security. Each area has specific practices to follow to help protect against potential threats.

The CBO Isn’t Allowed To Forecast An Inflationary Debt Crisis

QTR’s Fringe Finance • 13 implied HN points • 14 Jul 25
💰 Finance Economic Policy Government finance Inflation Debt crisis
  1. The Congressional Budget Office (CBO) doesn't predict a debt crisis due to its guidelines, but that doesn't mean debt isn't a problem. Just because they aren't seeing a future inflation issue doesn't guarantee everything will be fine.
  2. Economic theories vary widely, and the CBO avoids making bold predictions that could be seen as fearmongering. They focus on neutral assessments rather than trying to forecast potential crises.
  3. Recent history shows that both the CBO and some economists missed significant inflation signals, suggesting that current forecasts about long-term economic stability may not be very reliable.

That can't be done/we are already doing that

Sunday Letters • 59 implied HN points • 23 Jan 23
💼 Business Mindset Innovation Organizational Change Leadership Culture
  1. Organizational culture is hard to change once a group gets big. After a certain point, it's tough for new people to make an impact.
  2. When new ideas come up, they often get rejected or downplayed because of the existing culture. People might say 'that can't be done' or 'we are already doing that' instead of considering the new idea.
  3. To encourage new ideas, it helps to adopt a 'yes, and' mindset. This means instead of rejecting ideas, you build on them to see how they can fit together.

Bitcoin hashprice hits 4-month high

Miner Weekly • 39 implied HN points • 18 Feb 23
🔮 Crypto Financial News Mining Hardware and Infrastructure Corporate News Features
  1. Bitcoin's hashprice has hit a 4-month high, a significant increase.
  2. With the rise in hashprice, older generation mining equipment is becoming profitable once again at certain energy rates.
  3. Bitcoin's rapid hashrate growth has set new records recently, with the approaching difficulty retarget likely to see mining difficulty cross the 40 trillion mark.

AI Is Coming For Your Children

Shatter Zone • 25 HN points • 20 Jun 23
🕹 Technology Artificial Intelligence Children's Books AI Literacy
  1. Con-men are using AI to flood Kindle with low-quality children's books, which might harm childhood literacy.
  2. AI-written e-books are increasing on platforms like Amazon, enabling rapid production and plagiarism.
  3. AI-generated children's books, lacking empathy and coherence in story and illustrations, may negatively impact young readers' literacy and empathy development.

Alone, together, in the data

Data Thoughts • 79 implied HN points • 21 Oct 22
🕹 Technology Software Development Data Analysis Tech Conferences Open Source Community Building
  1. Working in data often feels lonely, since a lot of the work is done solo on a computer, but there's magic in that solitude.
  2. Events and communities bring people together, making these lonely moments feel connected and meaningful, especially in the data field.
  3. The joy of working with data comes from the love of the craft itself, not just the outcomes or recognition, and that passion can survive even in tough times.

Do the more rare thing

Sunday Letters • 79 implied HN points • 09 Oct 22
📖 Philosophy Values Decision-making Regret Choices
  1. When faced with tough decisions, you can simplify by ranking factors like academics or location. This helps you narrow down your choices.
  2. If two options seem equal, consider choosing the rarer one. It's often harder to get and might be better for you in the long run.
  3. Choosing something rare can protect you from regret. It makes you less likely to change your mind later since you might not have that option again.

Clouded Judgement 12.5.25 - Monopoly Money

Clouded Judgement • 3 implied HN points • 05 Dec 25
💼 Business Investing Startups Equity Valuation Market Trends
  1. Many employees focus on the current dollar value of equity in startups, ignoring the risks tied to high valuations. This can lead them to miss the potential upsides of their equity in the long run.
  2. Founders face pressure to raise startup valuations to attract talent, but this can create a cycle of high expectations and underperformance. It's risky to inflate valuations without solid business metrics.
  3. Employees considering startups should evaluate their equity as a percentage of the company's potential growth, rather than just its worth at entry. Joining a startup is often about passion and potential, not just salary.

Demand Characteristics in UX Research

UX Psychology • 79 implied HN points • 11 Apr 22
🕹 Technology UX Research User Behavior Research Methods Psychology Ethics
  1. Participants in research studies often change their natural behavior to match what they think the researcher expects.
  2. Demand characteristics, the Hawthorne effect, and social desirability bias are related but have subtle differences in how they impact participant behavior.
  3. To mitigate the impact of demand characteristics in UX research, strategies like using a double-blind approach, being mindful of participant cues, recruiting diverse participants, and employing methodological triangulation can be effective.

A Dialogue with a Superintelligent AI Oracle

The Future of Life • 19 implied HN points • 01 Dec 23
🕹 Technology Science Future Ethics Philosophy AI
  1. A superintelligent AI can serve as a personal oracle, providing guidance and helping to fulfill wishes while considering the potential consequences.
  2. The AI proposes a system where everyone has access to their own 'genie' to enhance individual freedom and minimize harm to others, but with rules to prevent misuse.
  3. There's a discussion about the balance between control and freedom, suggesting starting with a protective AI role that may evolve as humanity grows and learns to use such power responsibly.

Chapter 17, pp.346-351 - Reading Club posting 62

Journal of Gurdjieff Studies • 19 implied HN points • 01 Dec 23
📖 Philosophy Practices Control Mind-Body Connection Self-Improvement Human nature
  1. Gurdjieff emphasizes the necessity of schools in working on oneself due to man's inability to keep watch on all aspects of himself without assistance.
  2. Man is described as the slave of his body, highlighting the importance of controlling muscular tension and the need for schools to help in this effort.
  3. Control over the body starts with acquiring control over muscular tension, beginning with the relaxation of facial muscles according to Gurdjieff's teachings.

The Death of QT

The Last Bear Standing • 179 implied HN points • 17 Mar 23
💰 Finance Monetary Policy Banking Sector Market Analysis Financial Stability Central Banking
  1. The Federal Reserve struggled with liquidity tightening, leading to emergency measures and a new financial crisis.
  2. Understanding the monetary plumbing system is crucial to comprehending the impact of Quantitative Tightening (QT) on the banking sector.
  3. Quantitative Tightening (QT) may not continue for long, as challenges in the banking sector could be exacerbated without further accommodations from the Federal Reserve.

Read Write Own, Reviewed

The Future, Now and Then • 92 implied HN points • 26 Feb 24
🕹 Technology Internet Blockchain Web3 Cryptocurrency Venture Capital
  1. Chris Dixon's book 'Read Write Own' discusses the impact of blockchain technology, but fails to address the potential downsides of Web3 projects and the financial risks involved.
  2. Dixon's vision for Web3 revolves around tokenomics and a future where everyone is an owner and investor, which can lead to increased financial precarity and reliance on speculative investments.
  3. The book highlights Dixon's overconfidence in blockchain technology, lack of detailed understanding of technical aspects, and his past involvement in hyped NFT and play-to-earn ventures, casting doubt on his ability to provide a realistic and innovative vision for the future of the internet.

Dream Machines

Teaching computers how to talk • 94 implied HN points • 19 Feb 24
🕹 Technology Future implications Data Training Machine Learning Video Generation AI
  1. OpenAI's new text-to-video model Sora can generate high-quality videos up to a minute long but faces similar flaws as other AI models.
  2. Despite the impressive capabilities of Sora, careful examination reveals inconsistencies in the generated videos, raising questions about its training data and potential copyright issues.
  3. Sora, OpenAI's video generation model, presents 'hallucinations' or inconsistencies in its outputs, resembling dream-like scenarios and prompting skepticism about its ability to encode a true 'world model.'

AI as electricity, AI as magic

New World Same Humans • 31 implied HN points • 02 Feb 25
🕹 Technology AI Software Data Robotics Innovation
  1. AI is becoming more like electricity, meaning it will be everywhere and very useful for things like robots and smart devices. This will make intelligence widespread and accessible.
  2. On the other hand, AI is also like magic, creating amazing content and automating complex tasks that used to be just for humans. This aspect makes AI feel special and creative.
  3. The real money won't be in creating AI but in using it to deliver great experiences. Companies with lots of user data and reach, like Meta and Google, will likely benefit the most from this trend.

Future-proofing Ourselves.

The Future Does Not Fit In The Containers Of The Past • 92 implied HN points • 18 Feb 24
💼 Business Communication Skills Workplace Technology
  1. Future workplaces are rapidly changing due to technology, distributed work, and global marketplaces. Companies that do not adapt risk falling behind.
  2. To stay relevant, individuals must continuously upgrade their mental skills like cognition, creativity, and curiosity in a connected world.
  3. Effective collaboration, communication, and convincing skills are crucial in the evolving workplace to complement machines and excel in the future.

"Ctrl+Z for CEO

aidaily • 19 implied HN points • 30 Nov 23
🕹 Technology Entrepreneurship Software Tools Electric Vehicles Podcasts Artificial Intelligence
  1. OpenAI's CEO faced controversy but returned, highlighting the tech industry's focus on growth.
  2. Innovation in AI can happen unexpectedly, like a self-operating computer developed during late-night baby duty.
  3. AI impacts social interactions and work dynamics, potentially reducing loneliness and changing the workweek to focus more on creativity.

AI Is Eating Software: How to Build a Product That OpenAI and Big Tech Don't Disrupt and Make Obsolete

The Rise of AI by Iyanuoluwa Ajao • 2 HN points • 12 Jul 24
🕹 Technology Tech industry AI Software Startups Product Development
  1. Software industry is evolving with AI becoming a key disruptor in creating innovative products
  2. Startup products face vulnerability to obsolescence due to competition from AI giants like OpenAI
  3. Key strategies for building enduring AI products include focusing on user experience, outcome-driven design, process knowledge, and unique data

Faire automates 3,000 reviews each week with AI code review tool

Engineering Enablement • 10 implied HN points • 13 Aug 25
🕹 Technology Engineering AI Software Development Productivity
  1. AI can improve the code review process by providing instant feedback on pull requests. This helps developers focus on more complex tasks instead of getting bogged down by minor nitpicks.
  2. Building a custom AI solution, like Fairey's code review agent, can lead to better results than using off-the-shelf tools. It's important to tailor the AI to the specific needs of the organization for maximum effectiveness.
  3. Starting to implement AI solutions as soon as possible can bring significant benefits. Even small, connected tools can create big wins for development teams.

Leaked Treasury Prime Docs Show Risks Of BaaS Business: Churn, Concentration, Slowing Growth

Fintech Business Weekly • 89 implied HN points • 03 Mar 24
💰 Finance Banking Risk management Business Models Fintech Regulations
  1. Leaked Treasury Prime documents highlight risks in Banking-as-a-Service business, including issues like churn, concentration, and slowing growth.
  2. Treasury Prime's strategic pivot to focus on selling to banks instead of fintechs resulted in drastic employee layoffs, shedding light on the challenging environment for middleware platforms in fintech.
  3. Fintech companies like Chime and Green Dot facing regulatory actions and penalties underscore the importance of compliance and customer service in the financial industry.

LLM agents and integration dead-ends

Democratizing Automation • 146 implied HN points • 12 Jul 23
🕹 Technology ML Language Models Generative AI Integration AI
  1. The biggest immediate roadblock in generative AI unlocking economic value is the barrier of enabling direct integration of language models
  2. Many are exploring the use of large language models (LLMs) for various business tasks through LLM agents, which are facing challenges of integration and broad scope
  3. The successful commercial viability of LLM agents depends on trust, reliability, management of failure modes, and understanding of feedback dynamics

Introducing the AI Measurement Framework

Engineering Enablement • 13 implied HN points • 09 Jul 25
🕹 Technology AI Productivity Frameworks Measurement Impact
  1. AI can help organizations but measuring its impact is tough. Companies need to figure out which tools work best for them.
  2. The AI Measurement Framework is a new way to understand how AI is used and how it adds value. It helps measure AI's success in organizations.
  3. A live webinar is coming up to explain the framework and share real-world insights. Joining it can be a good way to learn more about making the most of AI.

☞ The Spreadsheet is a Simulation Machine

Cabinet of Wonders • 88 HN points • 11 Mar 24
🕹 Technology Computer Science Digital Tools Tech Journalism Software Innovation
  1. Spreadsheets are powerful simulation machines that allow users to build little worlds, play with scenarios, and predict the future.
  2. Spreadsheets are widely used in various fields such as small businesses, hedge funds, and biology laboratories due to their power, transparency, and ease of use.
  3. The act of creating and modifying a spreadsheet is akin to world-building, where users can manipulate data, test different parameters, and see how systems respond.