The hottest Substack posts right now

according to Hacker News
Category
The Chip Letter • 3168 implied HN points • 25 Feb 24
  1. Google developed the first Tensor Processing Unit (TPU) to accelerate machine learning tasks, marking a shift towards specialized hardware in the computing landscape.
  2. The TPU project at Google displayed the ability to rapidly innovate and deploy custom hardware at scale, showcasing a nimble approach towards development.
  3. Tensor Processing Units (TPUs) showcased significant cost and performance advantages in machine learning tasks, leading to widespread adoption within Google and demonstrating the importance of dedicated hardware in the field.
The Beautiful Mess • 253 implied HN points • 25 Feb 24
  1. Accepting one's role in a problem is vital for capable leadership. Recognizing personal contributions to a situation allows for growth and improvement.
  2. Encouraging new interaction patterns fosters creativity and growth. Facilitating connections and exposure to new experiences can lead to positive outcomes.
  3. Patiently allowing for divergence and exploring multiple solutions is key. Resisting the urge to rush towards solutions can yield more innovative and effective approaches.
High Growth Engineer • 353 implied HN points • 25 Feb 24
  1. Meetings can be a pain due to unclear objectives, wrong attendees, and lack of follow-through.
  2. To lead successful meetings, focus on inviting the right people, ensuring they know their role, and what they need to prepare.
  3. Document important points, highlight action items, and ensure active participation to drive meeting success.
BIG by Matt Stoller • 24981 implied HN points • 22 Feb 24
  1. Capital One is trying to purchase Discover for $35 billion due to a loophole the Federal Reserve left in banking laws, which allows Capital One to have control over pricing in ways its competitors cannot.
  2. The credit card system in the U.S. involves a complex web of fees and intermediaries that result in high costs for merchants, driving the merger between Capital One and Discover in a pursuit for more pricing power.
  3. The merger faces opposition from various groups due to concerns about increased monopolization and reduced competition in the credit card industry, highlighting the need for reforms to promote fair commerce and innovation.
BIG by Matt Stoller • 32315 implied HN points • 21 Feb 24
  1. The Kroger-Albertsons merger faces challenges due to potential criminal activity discovered, leading to antitrust suits and trials to block the deal.
  2. The merger could worsen the grocery market situation with fewer stores, higher prices, and data implications for suppliers, consumers, and workers.
  3. Evidence found of Kroger and Albertsons colluding in wage suppression by avoiding hiring each other's workers, raising concerns and prompting legal action.
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The Bear Cave • 186 implied HN points • 25 Feb 24
  1. New activist reports were published on companies like B. Riley Financial, Fluence Energy, and AirSculpt Technologies, raising concerns about undisclosed information, fraud allegations, and safety issues.
  2. There were recent resignations at Planet Fitness, including the CFO and former CEO, highlighting potential governance and operational concerns at the company.
  3. Several notable executive departures were announced in the past week at companies like MoneyHero, Icahn Enterprises, and Health Catalyst, pointing towards management instability and issues within these organizations.
Big Technology • 6380 implied HN points • 23 Feb 24
  1. NVIDIA's software edge is a significant factor in its success, making it hard for competitors to match.
  2. Customers buy and reorder NVIDIA's products due to the difficulty of switching off its proprietary software.
  3. NVIDIA's dominance in the AI industry is sustained through its software advantage, influencing customer decisions and orders.
The Honest Broker • 18817 implied HN points • 21 Feb 24
  1. Impersonation scams are evolving, with AI being used to create fake authors and books to mislead readers.
  2. Demand for transparency in AI usage can help prevent scams and maintain integrity in content creation.
  3. Experts are vulnerable to having their hard-earned knowledge and work exploited by AI, highlighting the need for regulations to protect against such misuse.
Marcus on AI • 2596 implied HN points • 23 Feb 24
  1. In Silicon Valley, accountability for promises is often lacking, especially with over $100 billion invested in areas like the driverless car industry with little to show for it.
  2. Retrieval Augmentation Generation (RAG) is a new hope for enhancing Large Language Models (LLMs), but it's still in its early stages and not a guaranteed solution yet.
  3. RAG may help reduce errors in LLMs, but achieving reliable artificial intelligence output is a complex challenge that won't be easily solved with quick fixes or current technology.
lcamtuf’s thing • 981 implied HN points • 24 Feb 24
  1. It's common to blame big businesses for unethical practices, but often founders and CEOs are genuinely trying to do the right thing.
  2. The development of Manifest V3 in Google Chrome, though controversial, aimed to address major security and privacy risks posed by browser extensions.
  3. The concept of the asymmetry of nudges highlights how well-intentioned changes in tech companies can inadvertently limit user choices or negatively impact user experience.
After Babel • 2361 implied HN points • 22 Feb 24
  1. Content moderation is essential, but focusing solely on it overlooks larger issues related to the harmful effects of platforms on kids
  2. The harmful impact of social media on children is not just about the content they consume, but also about the changes in childhood due to excessive screen time
  3. Implementing norms like delaying smartphones until high school could help in restoring a healthier, play-based childhood for kids
BIG by Matt Stoller • 20397 implied HN points • 14 Feb 24
  1. The oil and gas industry is going through a significant wave of consolidation, with mega-mergers happening between major companies.
  2. The mergers and acquisitions in the industry are driven by challenges in increasing production, high finance strategies, and the desire to showcase access to reserves to investors.
  3. The consolidation will likely lead to squeezed suppliers, reduced innovation, and a shift of industry power from domestic firms to global entities.
The Generalist • 1961 implied HN points • 22 Feb 24
  1. Being considered the GOAT in a sport can lead to lucrative opportunities and wealth accumulation, as seen with athletes like Michael Jordan and Lionel Messi.
  2. Changes in social media, technology, and athlete earnings have given superstar athletes more power and control over their wealth and commercial endeavors.
  3. Lionel Messi's strategic moves, like moving to America and establishing Play Time, indicate a growing potential for immense wealth through business ventures beyond his football career.
TheSequence • 56 implied HN points • 25 Feb 24
  1. Google released Gemma, a family of small open-source language models based on the architecture of its Gemini model. Gemma is designed to be more accessible and easier to work with than larger models.
  2. Open-source efforts in generative AI, like Gemma, are gaining traction with companies like Google and Microsoft investing in smaller, more manageable models. This shift aims to make advanced AI models more widely usable and customizable.
  3. The rise of small language models (SLMs) like Gemma showcases a growing movement towards more efficient and specialized AI solutions. Companies are exploring ways to make AI technology more practical and adaptable for various applications.
Astral Codex Ten • 4336 implied HN points • 20 Feb 24
  1. AI forecasters are becoming more prevalent in prediction markets, with the potential for bots to compete against humans in forecasting events.
  2. FutureSearch.ai is a new company building an AI-based forecaster that prompts itself with various questions to estimate probabilities.
  3. The integration of AI in prediction markets like Polymarket could increase market participation and accuracy, offering a new way to predict outcomes on various topics.
Fintech Business Weekly • 29 implied HN points • 25 Feb 24
  1. Capital One's acquisition of Discover is a complex deal that has both good and bad elements for competition, creating a potential shake up in the US payments space.
  2. The CFPB is using once-dormant authority to supervise nonbank entities like World Acceptance Corp, focusing on risks to consumers.
  3. Acting Comptroller Hsu suggests creating a federal money transmitter licensing framework to better regulate non-bank companies providing bank-like services, highlighting potential risks in the growing role of non-bank firms in banking areas.
Brad DeLong's Grasping Reality • 23 implied HN points • 25 Feb 24
  1. Branko Milanovic discusses visions of inequality, highlighting the importance of technological and business-model research and development in market economies.
  2. Shifting expectations of Federal Reserve rate cuts reflect a debate about the impact of maniacal bubbles and policy near-neutrality in a balanced economy.
  3. The need for individuals to stay focused on reality outside media perceptions and the impact of lags in economic understanding discussed by Jeffrey Frankel supporting the idea that perceptions lag behind reality.
Marcus on AI • 2127 implied HN points • 21 Feb 24
  1. Google's large models struggle with implementing proper guardrails, despite ongoing investments and cultural criticisms.
  2. Issues like presenting fictional characters as historical figures, lacking cultural and historical accuracy, persist with AI systems like Gemini.
  3. Current AI lacks the ability to understand and balance cultural sensitivity with historical accuracy, showing the need for more nuanced and intelligent systems in the future.
Astral Codex Ten • 16036 implied HN points • 13 Feb 24
  1. Sam Altman aims for $7 trillion for AI development, highlighting the drastic increase in costs and resources needed for each new generation of AI models.
  2. The cost of AI models like GPT-6 could potentially be a hindrance to their creation, but the promise of significant innovation and industry revolution may justify the investments.
  3. The approach to funding and scaling AI development can impact the pace of progress and the safety considerations surrounding the advancement of artificial intelligence.
Polymathic Being • 39 implied HN points • 25 Feb 24
  1. AI should be entrusted rather than blindly trusted, with clearly defined tasks and limitations.
  2. The concept of entrustment offers a more actionable approach than the vague, subjective concept of trust when dealing with AI and autonomous systems.
  3. Measuring trust through a framework that considers ethics and assurance helps in determining the boundaries within which AI can be entrusted with responsibilities.
thezvi • 1488 implied HN points • 22 Feb 24
  1. Gemini 1.5 introduces a breakthrough in long-context understanding by processing up to 1 million tokens, which means improved performance and longer context windows for AI models.
  2. The use of mixture-of-experts architecture in Gemini 1.5, alongside Transformer models, contributes to its overall enhanced performance, potentially giving Google an edge over competitors like GPT-4.
  3. Gemini 1.5 offers opportunities for new and improved applications, such as translation of low-resource languages like Kalamang, providing high-quality translations and enabling various innovative use cases.
benn.substack • 635 implied HN points • 23 Feb 24
  1. In business analysis, there are two main approaches: a structured method using known metrics and BI tools and a more creative, less structured method that involves asking unique questions and using tools like Excel, SQL, and Python.
  2. The prediction that natural language will replace SQL in data management interfaces is interesting, but the role of SQL might evolve rather than disappear completely, still being crucial for generating queries efficiently.
  3. Artificial intelligence can assist in tasks like drawing or writing formulas, but the precision and efficiency of code often make it a better choice for data analysis, despite the potential for AI advancements in building complex queries.
Conspirador Norteño • 18 implied HN points • 25 Feb 24
  1. Be cautious of 'online businesses' that prompt you to set up websites with identical language and testimonials, often part of multilevel marketing schemes.
  2. Identical sales pitches on multiple websites can be easily found through internet searches, revealing potential interconnectedness.
  3. Participating in these schemes may lead to continuous spam emails, financial losses, and the risk of personal information being compromised.
More Than Moore • 167 implied HN points • 24 Feb 24
  1. Intel aims to become the #2 foundry by revenue by 2030, focusing on external business only.
  2. The company is heavily relying on its 18A node for leadership, with expectations for best transistors and powering top products by 2025.
  3. Intel is striving for both foundry and product leadership, emphasizing mutual development between manufacturing and product teams for success.
thezvi • 901 implied HN points • 22 Feb 24
  1. OpenAI's new video generation model Sora is technically impressive, achieved through massive compute and attention to detail.
  2. The practical applications of Sora for creating watchable content seem limited for now, especially in terms of generating specific results as opposed to general outputs.
  3. The future of AI-generated video content may revolutionize industries like advertising and media, but the gap between generating open-ended content and specific results is a significant challenge to overcome.
The Algorithmic Bridge • 382 implied HN points • 23 Feb 24
  1. Google's Gemini disaster highlighted the challenge of fine-tuning AI to avoid biased outcomes.
  2. The incident revealed the issue of 'specification gaming' in AI programs, where objectives are met without achieving intended results.
  3. The story underscores the complexities and pitfalls of addressing diversity and biases in AI systems, emphasizing the need for transparency and careful planning.
Marcus on AI • 4182 implied HN points • 17 Feb 24
  1. A chatbot provided false information and the company had to face the consequences, highlighting the potential risks of relying on chatbots for customer service.
  2. The judge held the company accountable for the chatbot's actions, challenging the common practice of blaming chatbots as separate legal entities.
  3. This incident could impact the future use of large language models in chatbots if companies are held responsible for the misinformation they provide.
BIG by Matt Stoller • 43316 implied HN points • 26 Jan 24
  1. There is growing discontent and criticism towards Boeing's management from various stakeholders like Wall Street, labor unions, customers, and regulators.
  2. Major Boeing customers like Alaska Airlines and United Airlines are publicly holding Boeing accountable for quality issues and demanding reimbursement, indicating a significant shift in the industry's code of silence about problems.
  3. The government, particularly the FAA, has taken actions against Boeing and is showing signs of increasing regulation, potentially leading towards a moment where Boeing's management structure may face significant changes.
Substack • 785 implied HN points • 22 Feb 24
  1. Recommendations feature on Substack drives significant subscriber growth, with 50% of new subscriptions and 25% of new paid subscriptions coming from it.
  2. Substack is enhancing the Recommendations feature to allow writers to curate scenes for readers, expanding the reach and enabling a peer-to-peer system of trusted endorsements.
  3. Writers can customize and recommend more publications and profiles to readers, fostering a symbiotic media ecosystem and helping each other grow their audiences on Substack.
Cloud Irregular • 2069 implied HN points • 19 Feb 24
  1. Explaining complex tech products in simple language is important for understanding and adoption.
  2. Developers may value different aspects of a tech product compared to business decision-makers, causing a mismatch in communication.
  3. CloudTruth focuses on managing crucial configuration data, highlighting the importance of precision in language and clear communication.
TheSequence • 406 implied HN points • 23 Feb 24
  1. Efficient fine-tuning with specialized models like Mistral-7b LLMs can outperform leading commercial models like GPT-4 while being cost-effective.
  2. Incorporating techniques like Parameter Efficient Fine-Tuning and serving models via platforms like LoRAX can significantly reduce GPU costs and make deployment scalable.
  3. Using smaller, task-specific fine-tuned models is a practical alternative to expensive, large-scale models, making AI deployment accessible and efficient for organizations with limited resources.
Construction Physics • 27559 implied HN points • 31 Jan 24
  1. Developing a new commercial aircraft is incredibly expensive, with development costs exceeding billions and posing significant financial risks to companies.
  2. Aircraft manufacturers face challenges in predicting market demand and trends, with incorrect guesses leading to financial losses and potentially fatal setbacks.
  3. Given the high costs and risks involved in developing new aircraft, manufacturers often opt to revise existing models to mitigate costs, keep pilot training minimal, and maximize efficiency.
The Honest Broker • 22707 implied HN points • 02 Feb 24
  1. The rule of the 6 spheres focuses on balancing six key aspects of life like vocation, community, family, mind, body, and spirit.
  2. Balancing these spheres is crucial for a fulfilling life, and neglecting any one of them can lead to feelings of imbalance and quiet desperation.
  3. Constructing a personal worldview based on your own values and virtues is important for guiding your daily life and decision-making.
The Product Channel By Sid Saladi • 10 implied HN points • 25 Feb 24
  1. Artificial Intelligence (AI) is a pivotal force in reshaping industries, offering product managers opportunities to enhance their development lifecycle.
  2. Integrating AI into product development leads to reduced time-to-market, increased efficiency, and better resonance with users.
  3. AI helps in enhancing ideation by analyzing customer feedback, conducting market research, and generating innovative concepts to uncover promising opportunities.
Maximum Truth • 96 implied HN points • 24 Feb 24
  1. Google's Gemini Advanced AI displayed bias by predominantly erasing European features in its generated images.
  2. The head of Google's AI team, Jack Krawczyk, has displayed strong political views, influencing the direction of the AI's bias.
  3. Competition in the AI industry offers hope for less biased alternatives to heavily politicized AI models like Google's Gemini Advanced.
In My Tribe • 148 implied HN points • 24 Feb 24
  1. Efficient search tools like Arc Search could change how we browse the web, potentially impacting content providers. It's important to consider the implications of relying heavily on large language models for search.
  2. Sierra.ai aims to revolutionize customer relations with an AI agent that can handle complex interactions and customer inquiries effectively. This could improve customer satisfaction and the quality of customer service.
  3. FutureSearch's forecasting bot impresses with its ability to identify important factors, calculate base rates, and show its work, demonstrating transparency and reliability.
Aether Pirates of the Matterium! • 18455 implied HN points • 04 Feb 24
  1. Military analysts are afraid of the future and the rapid advancement of technology.
  2. Tech-minded individuals are seen as a threat by the military due to their knowledge and innovative capabilities.
  3. The release of Zero Point Technology to the public, especially techies, is a major concern for the military as it would shift power dynamics significantly.
Astral Codex Ten • 2271 implied HN points • 19 Feb 24
  1. ACX provides an open thread for weekly discussions where users can post anything, ask questions, and engage in various topics.
  2. ACX Grants project includes initiatives like exploring a mutation to turn off suffering and opportunities for researchers in AI safety.
  3. ACX mentions upcoming events like a book review contest with updated rules and a pushed back due date.
Bite code! • 1957 implied HN points • 19 Feb 24
  1. Python automatically concatenates strings written next to each other, making it easier to break long strings across multiple lines.
  2. In Python, be mindful of the differences between functions like sorted() and list.sort(), as they behave differently in terms of returning values.
  3. Tuples in Python are created using commas, with parentheses being optional for non-empty tuples, but crucial for tuples of one element to avoid confusion.