The hottest Tech industry Substack posts right now

And their main takeaways
Category
Top Technology Topics

DeepSeek v3: The Six Million Dollar Model

Don't Worry About the Vase • 1881 implied HN points • 31 Dec 24
🕹 Technology AI Models Machine Learning Data science Computing Tech industry
  1. DeepSeek v3 is a powerful and cost-effective AI model with a good balance between performance and price. It can compete with top models but might not always outperform them.
  2. The model has a unique structure that allows it to run efficiently with fewer active parameters. However, this optimization can lead to challenges in performance across various tasks.
  3. Reports suggest that while DeepSeek v3 is impressive in some areas, it still falls short in aspects like instruction following and output diversity compared to competitors.

The Truth About H-2B Visas

God's Spies by Thomas Neuburger • 186 implied HN points • 31 Dec 24
🇺🇸 U.S. Politics Immigration Labor Workforce Economy Tech industry
  1. H-1B visas are often seen as a way for companies to pay lower wages and keep salaries down for American workers. This creates a situation where employers have more power over employees who depend on these visas.
  2. Many tech companies use H-1B workers to fill jobs, especially during layoffs of American workers, which leads to a feeling of competition and insecurity among those workers.
  3. The system appears to benefit companies financially while putting pressure on both H-1B workers and American employees, leading to questions about fairness and ethics in the job market.

There Are No Safe Havens

Freddie deBoer • 6621 implied HN points • 25 Nov 24
💼 Business Labor Market Tech industry Career development
  1. The job market for entry-level programmers has drastically declined, with job postings dropping significantly. It's harder than ever for new coders to find work right now.
  2. While skilled and experienced programmers still have good job prospects, the narrative around learning to code often ignores that not everyone can secure those top jobs.
  3. The promise of tech jobs being a guaranteed path to success is misleading, especially for beginners who face tough competition in a shrinking market.

AI #91: Deep Thinking

Don't Worry About the Vase • 2732 implied HN points • 21 Nov 24
🕹 Technology AI Development Machine Learning Cybersecurity AI Policy Tech industry
  1. DeepSeek has released a new AI model similar to OpenAI's o1, which has shown potential in math and reasoning, but we need more user feedback to confirm its effectiveness.
  2. AI models are continuing to improve incrementally, but people seem less interested in evaluating new models than they used to be, leading to less excitement about upcoming technologies.
  3. There are ongoing debates about AI's impact on jobs and the future, with some believing that the rise of AI will lead to a shift in how we find meaning and purpose in life, especially if many jobs are replaced.

The case against living in the Bay Area, for ambitious tech people

Cloud Irregular • 3548 implied HN points • 22 Nov 24
💼 Business Entrepreneurship Tech industry Venture Capital Startup Culture Market Dynamics
  1. Living in the Bay Area might not be necessary for tech success. There are many ways to build a successful career outside of that bubble.
  2. The traditional SaaS business model may not be as effective anymore. Companies should focus on creating value in other ways beyond just software.
  3. A balanced team is better than one dominated by technical skills. Recognizing the importance of marketing, sales, and other roles can lead to better business outcomes.
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The cult of data has gone too far

Wednesday Wisdom • 113 implied HN points • 01 Jan 25
🕹 Technology Data Analysis Decision-making Corporate culture Consulting Tech industry
  1. Relying too much on data can lead to wrong decisions because numbers don't always tell the full story. Sometimes, human judgment or understanding is needed.
  2. Data can create a false sense of certainty, making people ignore the uncertainties and assumptions behind those numbers. It's important to be honest about what the data truly represents.
  3. Setting goals based on numbers can make teams lose sight of the real-world processes they are supposed to improve. Chasing metrics blindly can lead to poor outcomes.

OpenAI Sora Turbo: A Very Expensive Slot Machine

The Algorithmic Bridge • 254 implied HN points • 10 Dec 24
🕹 Technology AI Models Software Development Digital Media Tech industry Innovations
  1. Sora Turbo is a new AI video model from OpenAI that is faster than the original version but may not be better. Some early users are unhappy with the rushed release.
  2. This model has trouble with physical consistency, which means the videos often don't look realistic. Critics argue it still has a long way to go in recreating reality.
  3. Sora Turbo is just the beginning of video AI technology. Early versions may seem lacking, but improvements will come with future updates, so it's important to stay curious.

The OpenAI corporate revamp seems pretty reasonable

Alex's Personal Blog • 32 implied HN points • 27 Dec 24
💼 Business Corporate Structure Tech industry Business strategy
  1. OpenAI is changing its company structure to better fit its needs for raising and making money. They are moving to a type of corporation that requires them to think about more than just profits.
  2. The new structure will allow OpenAI to balance its mission with the interests of shareholders. This means they must consider how their decisions affect everyone, not just those who own stock.
  3. Although the changes could face challenges, like legal issues with competitors, OpenAI seems focused on preparing itself for future success.

How Google Blew Up Its Open Culture and Compromised Its Product

Big Technology • 16387 implied HN points • 07 Mar 24
💼 Business Corporate culture Product Development Leadership Tech industry Employee Relations
  1. Google's open culture deteriorated, impacting its product quality and employee morale.
  2. Issues began when Google shut down discussions on sensitive topics like diversity and employee concerns.
  3. The closure of open channels for questioning within Google led to a negative impact on the company's innovation and decision-making processes.

David Sacks' Intellectual Journey

Erik Torenberg's Thoughts • 208 implied HN points • 11 Dec 24
🇺🇸 U.S. Politics Political Ideologies Censorship Tech industry Social Issues Elections
  1. Silicon Valley used to support free speech, but now many companies limit it to control political views. This shift is concerning as it can stifle people's voices and even their ability to earn a living.
  2. There’s a big divide in how educated professionals and working-class people think and vote. This divide shapes our institutions and can create conflict because the elite often push ideas that don’t reflect the majority's beliefs.
  3. Accountability is essential for those in power. If leaders make mistakes without facing consequences, it undermines trust. There's a call for more populist leadership that listens to the people's needs and holds elites accountable.

Xuất khẩu gian lận

Thái | Hacker | Kỹ sư tin tặc • 11143 implied HN points • 25 Dec 23
🕹 Technology Cybersecurity Online Scams Tech industry E-commerce
  1. Tech giants like Microsoft, Google, and Meta have dedicated teams to combat fraud from Vietnamese individuals.
  2. Individuals from Vietnam have been involved in creating fake online accounts and engaging in various forms of online fraud, causing significant financial losses.
  3. Vietnam has a reputation for fraud and account takeover schemes in the global community, leading to distrust and higher trading costs for the country.

How novelty effects and Dopamine Culture rule the tech industry

@andrewchen • 3215 implied HN points • 06 May 24
🕹 Technology Innovation Product Management Tech industry AI Mobile Apps
  1. Offline experiences take more intent and time, while online experiences are convenient but ephemeral.
  2. Tech products need to provide value quickly to retain users in a dopamine-driven culture.
  3. The culture of product management in tech is geared towards constant incremental progress to meet short-term goals.

You Are Not The Man In The Arena

Where's Your Ed At • 24184 implied HN points • 30 Aug 23
🕹 Technology Startup Culture Tech industry Venture Capital Cryptocurrency Artificial Intelligence
  1. The man in the arena speech by Theodore Roosevelt emphasizes the importance of taking action over criticism.
  2. Chamath Palihapitiya symbolizes a detrimental mindset in Silicon Valley of valuing image over actual value creation.
  3. The tech industry's obsession with funding specific kinds of founders and companies has created a harmful monoculture that prioritizes profit over societal impact.

362 Cyber Acquisitions in 2024

The Security Industry • 13 implied HN points • 10 Jan 25
💼 Business Finance Mergers Investments Market Trends Acquisitions Tech industry
  1. In 2024, there were 362 cyber acquisitions, which is a significant increase from the previous years. This shows how fast the cybersecurity industry is changing.
  2. The total value of disclosed acquisitions reached nearly $49.9 billion. Many deals were notable, including big companies like HPE and IBM making major purchases.
  3. Out of all the acquisitions, a majority were strategic, while a smaller portion involved private equity firms. This highlights different approaches companies are using to grow in the cybersecurity space.

The Weekly Kaitchup #61

The Kaitchup – AI on a Budget • 139 implied HN points • 04 Oct 24
🕹 Technology AI Models Machine Learning Computational efficiency Software Development Tech industry
  1. NVIDIA's new NVLM-D-72B model is a large language model that works well with both text and images. It has special features that make it good at understanding and processing high-quality visuals.
  2. OpenAI's new Whisper Large V3 Turbo model is significantly faster than its previous versions. While it has fewer parameters, it maintains good accuracy for most languages.
  3. Liquid AI introduced new models called Liquid Foundation Models, which are very efficient and can handle complex tasks. They use a unique setup to save memory and improve performance.

Silicon Valley's Slaughterhouse

Where's Your Ed At • 15430 implied HN points • 08 Sep 23
🕹 Technology Tech industry Venture Capital Startups Software Industry
  1. Elon Musk is involved in a legal battle over accusations of anti-semitism and his actions have had significant impacts on advertising revenue and Twitter's valuation.
  2. Silicon Valley culture has devolved into a profit-driven, empty innovation environment fueled by venture capital, lacking real societal impact.
  3. The tech industry, led by venture capital, has created a culture of labor exploitation, hollow promises, and superficial startup culture, with the focus on profitability rather than meaningful innovation.

The Solution to the H1B Problem

The Carousel • 32 implied HN points • 26 Dec 24
🇺🇸 U.S. Politics Nationalism Meritocracy Immigration Cultural Identity Tech industry
  1. There's a clash between nationalism and meritocracy in America. While meritocracy rewards talent, nationalism focuses on putting the cultural identity of Americans first.
  2. O-1 visas for exceptional individuals could help address talent shortages better than H1B visas. They emphasize hiring based on individual capability rather than just filling positions with cheaper labor.
  3. It's important for tech workers and nationalists to find a balance. Nationalism can actually enhance their drive for success if they integrate cultural values into their work and goals.

"Here's the sad state of the cloud"

Cloud Irregular • 3696 implied HN points • 22 Jan 24
🕹 Technology Cloud Computing Artificial Intelligence Tech industry Tech Culture Data Privacy
  1. The cloud landscape is shifting from big hyperscalers to more specialized services like standalone databases and DIY cloud-in-a-box.
  2. Using tools like Nightshade to protect art from being exploited by AI may not be the best strategy, focusing on creating original, high-quality art is key.
  3. Google, despite criticism, remains a significant player in the tech industry, seen as a symbol of intellectual prowess and innovation.

Twitter is dead and Threads is thriving

Platformer • 3262 implied HN points • 27 Oct 23
🕹 Technology Social media Tech industry Digital Content Artificial Intelligence Software Development
  1. Twitter underwent significant changes after Elon Musk's takeover, leading to a decline in daily users and financial setbacks.
  2. Musk's plan to pivot Twitter towards paid subscriptions failed, with less than 1% of users signing up for the premium service.
  3. Former Twitter employees have accepted the company's demise, with concerns about the future of the platform integrity at X.

Google’s Woke AI Wasn’t a Mistake. We Know. We Were There.

Common Sense with Bari Weiss • 2040 implied HN points • 19 Mar 24
💼 Business Corporate culture Diversity Bias Tech industry
  1. Google's new AI tool, Gemini, produced biased results in image searches, reflecting the larger issue of the company's culture prioritizing ideologies over excellence.
  2. Former Google employees, including high-profile individuals like Shaun Maguire, expressed concerns over Google's push for diversity, equity, and inclusion leading to compromises in quality and standards.
  3. The fallout from the Gemini AI debacle at Google highlighted the importance of balancing inclusivity with maintaining product quality and unbiased information for users.

The Case for Big Action to Regulate Artificial Intelligence

chamathreads • 2653 implied HN points • 09 May 23
🕹 Technology Regulation Artificial Intelligence Innovation Internet Tech industry
  1. Regulation of artificial intelligence is essential to manage risks and protect society from potential harms.
  2. Regulating AI can set global standards and prevent censorship on the internet.
  3. Past successful regulatory models, like those in the pharmaceutical industry, demonstrate the importance and effectiveness of oversight.

3 Products That Influenced Me

Tech Ramblings • 19 implied HN points • 14 Sep 24
🕹 Technology Product Design Innovation Software Development User Experience Tech industry
  1. The iPhone changed how we think about technology. It shows that controlling both hardware and software can lead to incredible innovation.
  2. Tesla focuses on making things simple and helps users learn through experiences. This approach makes the product easier to use and reduces complexity.
  3. Amazon Web Services made it quick and easy to start an online business. It built a strong foundation by allowing teams to create interconnected services, speeding up product development.

Top Highlights of CES 2024

AI Supremacy • 1198 implied HN points • 21 Jan 24
🕹 Technology Tech industry Events AI
  1. CES 2024 showcased innovative AI technology like Rabbit R1 and enhanced robots.
  2. LG and Samsung introduced transparent TVs with unique features at CES 2024.
  3. Tech advancements at CES included dual-screen laptops, AI-enhanced PCs, and unique gadgets like GyroGlove.

Tech Layoffs Hit Linux: Red Hat Laying Off 760 Employees

The Lunduke Journal of Technology • 5170 implied HN points • 26 Apr 23
🕹 Technology Tech industry Layoffs Linux
  1. Red Hat, the largest Linux company, is laying off 760 employees to focus on doing fewer things better
  2. Q1 of 2023 had a record number of tech layoffs, over three times more than during the Dot Com Bubble Burst in 1999
  3. There are concerns about how these layoffs will affect Red Hat's success, potential future layoffs, and impact on smaller Linux firms

Understanding the Tech Right

Richard Hanania's Newsletter • 4023 implied HN points • 05 Jun 23
🕹 Technology Tech industry Conservatism Ideology Innovation Political Influence
  1. Tech industry is becoming more involved in politics, particularly shaping right-wing movements
  2. Tech Right combines acceptance of inequality with openness to change, influencing views on capitalism, biology, and progress
  3. Tech Right's influence on American politics might be seen through funding politicians, exerting intellectual leadership, and pushing conservative ideals

Briefing: Tinder for Slack, GPTs, X’s 2024 roadmap

Department of Product • 943 implied HN points • 11 Jan 24
🕹 Technology AI Product Design Software Development Tech industry Artificial Intelligence
  1. Slack's new Catch Up feature works like Tinder for messages, making it easier to catch up on missed messages.
  2. OpenAI launched a GPT store with tools like DesignerGPT and AI PDF, offering add-ons for ChatGPT.
  3. Perplexity is a new 'answer engine' competing with Google, providing direct answers and generative AI capabilities.

469: The Market's Goal, Synopsys + Ansys, Nvidia, Spyderco, Intel AI Spin, Nuclear Arsenal Forgotten Secrets, Recessions Since 1860, and Searching for Bobby Fischer

Liberty’s Highlights • 884 implied HN points • 10 Jan 24
💰 Finance Market Dynamics Mergers Tech industry Nuclear Weapons Film
  1. The market often surprises people and goes through cycles of confusion and growth.
  2. US recessions have been less frequent, signifying stability, but opportunities for growth still exist.
  3. Merger talks and developments in companies like Synopsys, Ansys, Nvidia, and Intel show shifts in technology landscapes.

Checking in on Twitter

Read Max • 2186 implied HN points • 18 Aug 23
🕹 Technology Social media Tech industry Competitors
  1. The state of Twitter following Elon Musk's acquisition is still uncertain, with questions about website functionality, business sustainability, and user engagement remaining unanswered.
  2. Although Musk announced plans to eliminate the block function on Twitter, it seems like a questionable idea that may not actually materialize.
  3. Changes in Twitter's culture have been observed, with a shift towards tech industry influencers, impacting the dynamics of stories and discussions on the platform.

Nearest Neighbors

Reboot • 25 implied HN points • 01 Dec 24
🇺🇸 U.S. Politics Labor Rights Unions Political Activism Tech industry
  1. Building a union starts with courage; it's about workers coming together to discuss their working conditions. It's important to voice the need for change and solidarity among coworkers.
  2. A union is not just about having one clear goal; it's a collection of shared concerns and values. The process of creating and maintaining a union is continuous and involves the collective effort of its members.
  3. Convenience often gets in the way of organization; the work of building a union can be inconvenient but is necessary for creating meaningful change in the workplace.

🤖⚡ Does AI use too much energy? A Quick Q&A with … policy analyst James Broughel

Faster, Please! • 822 implied HN points • 03 Feb 24
🕹 Technology AI Energy Policy Renewables Tech industry
  1. Critics think AI consumes a significant amount of energy, comparable to whole countries.
  2. There's a risk of AI's energy consumption becoming a political issue, akin to past debates around cryptocurrency.
  3. Leading tech companies are working to use renewable energy sources to power AI, reducing potential worries about its energy usage.