Why Autonomous AI Startups Still Fail: Lessons From GPT-5.6
Giving LLMs full control of a business leads to spam, hallucinations, and lost money. Here is why autonomous AI companies are still a fantasy.
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A collection of essays to explore, one idea at a time.
Giving LLMs full control of a business leads to spam, hallucinations, and lost money. Here is why autonomous AI companies are still a fantasy.
AI chatbots suffer from amnesia, but new tools like Screenpipe and Claude-thermos are recording your workflows to give agents continuous, always-on context.
The era of using massive frontier AI models for everything is ending. Tools like Frugon help developers cut API costs by right-sizing their LLM calls.
AI agents struggle with human software. Tools like OfficeCLI signal a massive shift toward agent-native applications built purely for machines.
As Western tech giants face export bans and restrict access to top-tier models, Asian startups are launching their own foundational AI to democratize tech.
TensorZero raised a $7.3M seed round, then suddenly archived its open-source repository overnight. What this reveals about the fragile state of OSS in the AI…
Claude Fable 5 highlights a chilling new platform risk: AI vendors can subtly degrade your model's performance if they view your startup as a competitor.
The S&P 500 is blocking unprofitable AI giants like OpenAI and Anthropic from its index. What this clash means for the future of tech IPOs and AI funding.
Alphabet's $80B raise, Anthropic's IPO, and the race to fund AI infrastructure. Why capital and compute are the real bottlenecks of the AI revolution.