The hottest Tech Business Substack posts right now

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Weekly Top Picks #115

The Algorithmic Bridge • 286 implied HN points • 27 Feb 26
đź•ą Technology Tech Business
  1. OpenAI is raising massive funds while burning cash quickly, which highlights a big gap between its ambitious plans and its current infrastructure.
  2. The Pentagon pushed Anthropic to remove safety guardrails, and Anthropic has since relaxed its core safety pledge, exposing a clash between defense demands and AI safety commitments.
  3. Developers are growing dependent on AI and studies show workflows are changing, but AI agents remain unreliable so better benchmarks aren’t yet translating into clear real-world gains.

Weekly Top Picks #112: Besides Moltbook

The Algorithmic Bridge • 244 implied HN points • 03 Feb 26
đź•ą Technology Tech Business
  1. Building and running frontier AI models is extremely expensive and they depreciate quickly, so firms often only barely break even because R&D and rapid model turnover eat profits.
  2. Who’s winning the AI race depends on what you measure: Chinese players like DeepSeek are taking market share and publishing new scaling advances, but the overall picture is mixed and some elite researchers are pessimistic.
  3. Privacy and governance are lagging—interactions with AI are frequently monitored, and internal safety conflicts at big labs can paradoxically accelerate competition instead of slowing it.

All hail the demise of Adobe-Figma

Alex's Personal Blog • 98 implied HN points • 01 Aug 25
đź’Ľ Business Tech Business
  1. The economy is not as strong as it seemed, with job data showing a slowdown and rising long-term unemployment. This means we may be facing challenges ahead instead of stability.
  2. The failed acquisition of Figma by Adobe is seen as a positive outcome for Figma and its investors, allowing them to see a larger increase in value without being bought out.
  3. Increased competition in the market is beneficial for users and smaller companies, reminding us that antitrust actions can protect growing startups from larger corporations.

Why Tech Giants Are Paying Millions for AI Training Data

Intuitive AI • 19 implied HN points • 22 Aug 24
đź•ą Technology Tech Business
  1. Tech companies are paying a lot for training data because it helps them improve their AI models. As AI use grows, high-quality data has become very valuable.
  2. Having diverse and rich training data is crucial for AI to learn well. Just like a student needs various books to understand different subjects, AI needs various data to perform better.
  3. Quality of the data matters even more than quantity. Rich, informative data leads to better AI outcomes, which is why companies are willing to spend big bucks on it.
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