When the government invests in a startup, it creates a conflict. It may feel obligated to award contracts to its own investment, undermining competitive bidding and the free market.
Unlike corporate VCs like Google that extract warrants for loans, the government often fails to secure equity in deals it finances. This results in taxpayers missing out on huge potential upsides, as seen with Tesla's early government loan.
The new $2,000+ iPhone Duo's success won't be about the foldable hardware itself. Its adoption depends entirely on whether developers create compelling software that makes using two screens simultaneously genuinely useful and delightful.
Apple's biggest AI opportunity lies in creating a powerful, open-source AI that runs locally on its hardware. This appeals to privacy-conscious consumers wary of data leaks from cloud-based models like OpenAI's.
OpenAI CEO Sam Altman's suggestion of slowing AI development is likely a strategic move. It could be a trial balloon to appease doomsayers and gauge public opinion, rather than a genuine commitment to cede their market lead.
AI agents can monitor a product's code repository for new commits, identify customer-facing features, and then automatically generate marketing content like update emails and promotional videos without human intervention.
To build robust AI agent workflows, you can subscribe to multiple premium services (e.g., Claude, OpenAI, Grok) and have your system use them as fallbacks. This avoids downtime and bypasses single-provider token limits.
An AI agent can analyze Google Ads performance weekly and generate a precise, step-by-step checklist for a non-expert to implement optimizations. This can deliver better results than a costly human consultant.
The key to effective AI automation is to stop prompting and start building systems. Treat an agent like a new employee: provide descriptive instructions and offer corrective feedback for the first few outputs. After about three cycles, it can often run autonomously.