PortalsOS

Google's AI co-scientist broke down the scientific method into a schematic, optimizing prompts for each step. This system generated a hypothesis for an unsolved problem in virology, aligning with experimental results not yet published by scientists. This demonstrates AI's potential to contribute to scientific discovery.

The cost of running AI systems is much lower than the cost of human labor, which may drive further automation and economic shifts.

The cost of AI models is dropping dramatically, with GPT-5 being 95% cheaper than GPT-4, suggesting continued price reductions.

The rise of AI has created a new landscape where technology is expensive, allowing for more sophisticated financial projects and investments.

The current AI investment is staggering, with projections indicating spending equivalent to an Apollo program every 10 months. This includes $400 billion by major tech companies this year alone.

The cost of running AI, like an H100, is lower than sustaining human life, suggesting a future where AI labor is more economically viable.

With the new Grok model, building something with AI can cost as little as 50 cents, compared to five bucks with older models. That's a crazy reduction!

The current AI infrastructure spend is likened to speculative investments, with the hope that it will lead to significant breakthroughs, despite the lack of clear business models.

In the AI industry, if frontier models become interchangeable, companies like OpenAI and Anthropic may struggle to charge premiums, as competitors offer similar quality at lower costs.

Open source AI models from China are gaining traction due to their cost-effectiveness, but there are concerns about the U.S. falling behind in this area.