The hottest Big Tech Substack posts right now

And their main takeaways
Category
Top U.S. Politics Topics

Big Tech & Open Source: Where Is the Love? (2020)

Deep-Tech Newsletter • 39 implied HN points • 24 Jun 20
🕹 Technology Big Tech Open Source Sentiment Analysis Developers Competition
  1. Big Tech heavily contributes to open source projects on GitHub, even though they can influence the project's direction.
  2. Amazon has faced criticism for potentially hindering open source startups by offering competing services on AWS.
  3. Google leads in positive sentiment towards open source, followed closely by Microsoft, while Amazon received a lower score due to recent backlash.

The AI "Race to the Bottom"

Enterprise AI Trends • 1 HN point • 22 May 24
🕹 Technology AI Tools Startups Big Tech Market Trends Consumer apps
  1. Big Tech companies like Microsoft and Google are now giving away AI tools for free, which could lower the prices of similar products in the market. This change may make it harder for startups to charge for their AI services.
  2. While AI startups might still thrive for a while, they need to adapt by offering free tiers or lower prices to compete. Users are becoming less interested in paid options when free alternatives are available.
  3. Startups should also manage their expectations about growth and profit. With many free AI tools around, they may not see the big payouts they hoped for and may need to pivot their business plans.

Microsoft Is the Latest Behemoth Trying to 'Help' Journos With AI

Startup Strategies • 0 implied HN points • 06 Feb 24
🕹 Technology AI Journalism Big Tech Tools
  1. Microsoft is offering AI tools and training to news organizations to help journalists in their work.
  2. The AI tools and training provided by Microsoft focus on assisting journalists in research, source discovery, and translation.
  3. Journalists may benefit more from investments in media organizations and jobs rather than extensive AI training.

Coming soon...

Platform Papers • 0 implied HN points • 30 Dec 21
🕹 Technology Research Digital Platforms Big Tech Academic Platform Competition
  1. Platformpapers will start publishing monthly blog posts in 2022 covering the latest academic research on digital platforms and big tech
  2. The posts will summarize and contextualize articles from the platform papers references database to make the research more accessible to a wider audience
  3. The goal is to engage individuals interested in platforms such as scholars, students, managers, creators, and policy makers
Get a weekly roundup of the best Substack posts, by hacker news affinity:

12/4 Tech Buzz China Insider Digest

Tech Buzz China Insider • 0 implied HN points • 07 Dec 21
🕹 Technology China tech Big Tech Algorithms Social media
  1. Newsletter schedule changes: Improved open rates on weekends led to a decision to stick to that schedule. Community suggestions were welcomed for further improvements.
  2. Investment opportunity: Accredited investors were encouraged to consider participating in the Tech Buzz China Investment Syndicate for the Hirect Series A funding round.
  3. WeChat updates: WeChat's changes allowing direct access to external links in chats and potential adjustments to e-commerce functionalities signal notable user experience enhancements.

Moving from Big Tech -> Startup

Product Principles Newsletter • 0 implied HN points • 16 Feb 23
💼 Business Startups Big Tech Product Management Entrepreneurship
  1. Talented professionals are migrating from big tech to startups with different expectations and work environments.
  2. Startups are focusing more on unit economics and fundraising standards, leading to funding and valuation corrections.
  3. Product managers at early stage startups will experience a shift from big budgets and tools to a focus on distribution and creating features for existing users.

Big Tech "GenAI" Quarterly Report

Sector 6 | The Newsletter of AIM • 0 implied HN points • 29 Oct 23
🕹 Technology AI Cloud Computing Big Tech Earnings Reports Innovation
  1. Big tech companies are heavily focused on generative AI, with Google, Microsoft, Meta, and Amazon mentioning it a lot during their earnings calls. In contrast, Apple seems to be staying quiet about AI.
  2. Microsoft is performing really well in the cloud and generative AI space, especially through its partnerships with companies like OpenAI and Meta. This has helped them achieve a significant revenue increase.
  3. Compared to Microsoft, AWS and Google also saw revenue growth in their cloud services, but Microsoft outpaced them with higher growth numbers.

How Irresponsible!

Sector 6 | The Newsletter of AIM • 0 implied HN points • 20 Mar 23
🕹 Technology AI Ethics Big Tech Data Privacy
  1. AI technology is growing quickly, and there is a growing need for ethical guidelines around it. Companies need to take responsibility for how they use AI.
  2. Despite promises of responsible AI practices, companies like Microsoft are making contradictory moves, like firing their responsible AI team soon after making public commitments.
  3. It's important for tech companies to not just talk about ethics; they must take concrete actions to ensure AI is used safely and responsibly.

Dump Metaverse, Woo AI

Sector 6 | The Newsletter of AIM • 0 implied HN points • 13 Feb 23
🕹 Technology AI VR Big Tech Innovation Trends
  1. Big tech companies are stepping back from metaverse projects. Recently, Microsoft even shut down parts of its virtual reality teams.
  2. AI and conversational chatbots are becoming the new priority for these companies. Many are excited about these technologies, but it's not just for the fun of it.
  3. The current focus on AI is a shift driven by the need to be practical and competitive, rather than just chasing the latest trends.

Today, Playing Devil’s Advocate

Sector 6 | The Newsletter of AIM • 0 implied HN points • 06 Feb 23
🕹 Technology Big Tech Employment Data Analysis Market Trends Industry News
  1. Big tech companies like Meta and Amazon have recently faced a lot of layoffs, making it seem like they are treating their employees poorly.
  2. However, when looking at the overall hiring and firing trends, the reality might not be as negative as it seems.
  3. It's important to analyze data and numbers to get a clearer picture of what is really happening in the job market for these tech giants.

We’ve Got Bills to Pay, Too

Sector 6 | The Newsletter of AIM • 0 implied HN points • 01 Feb 23
🕹 Technology AI Big Tech Data Privacy Copyright Software Development
  1. OpenAI is facing issues regarding copyright infringement, which has stirred up discussions about the company. This situation shows that even big tech companies are not immune to legal troubles.
  2. There's a lot of ongoing conversation around OpenAI and its technologies, indicating that interest in AI and its implications is growing. People are curious about the impact and future of AI tools like ChatGPT.
  3. The article hints at rising challenges in the tech space, suggesting that companies need to stay aware of legal standards as they develop new technologies. It's important for businesses to be careful and understand the laws surrounding their innovations.

12/4 Tech Buzz China Insider Digest

Tech Buzz China Insider • 0 implied HN points • 07 Dec 21
🕹 Technology China tech Tech news Big Tech Algorithms Investment
  1. Rumors suggest restrictions on VIEs for companies listing location in China, but the ban won't be complete and varies by sector.
  2. Kuaishou's revenue mostly stagnant from livestreaming, showcasing a trend of saturation in the industry.
  3. WeChat is adjusting rules to allow direct access to external links, potentially impacting user drop-off, and has begun somewhat embracing algorithms after staunch resistance.

🤓[DS:Culture] Startup Math and Opportunity Costs

Data Science Daily • 0 implied HN points • 17 Feb 23
💼 Business Startups Big Tech Economics Decision-making
  1. Being recruited by big tech as a data scientist is common due to the high demand for DS professionals.
  2. The opportunity cost of working at a startup versus a big tech company heavily depends on the potential stock gains.
  3. Economic-wise, bigger tech companies offer more stability and higher potential earnings, but working at a startup can offer a more dynamic and problem-solving oriented environment.