Marc Andreessen on the cognitive gap between AI-native teams and traditional giants
In an interview, Marc Andreessen said that traditional giants still treat large models as a plug-in for cost reduction and efficiency gains, while AI-native teams take machine intelligence as their underlying skeleton; two people plus a full set of automated Agents can run the entire chain from market insight, software engineering, and full-stack design to business sales. He believes that the blind spot of big companies is not that they cannot afford computing power, but that they cannot understand that the organization itself is the biggest liability.
Topics
Body · AI translation
Netscape founder and top Silicon Valley investor Marc Andreessen admitted in an interview that he has seen the most terrifying cognitive gap in the history of technology,
Marc Andreessen, who wrote the Netscape browser back then and witnessed the rise and fall of the entire internet over thirty years, sat in front of Ben Horowitz and directly expressed his feeling: if we had today's AI tools when we were building Netscape in 1994, it would be simply unimaginable.
Right now the vast majority of traditional giants and existing enterprises are still using the old mindset of improving software to look at large models.
In their organizational logic, AI is just an advanced feature, used to make a plug-in for existing business, add an intelligent assistant in DingTalk, or cut the customer service team by 20% to save some costs.
They think they are embracing change, but in fact they are just patching up an old steam engine.
In the past, when founding a company, your organizational structure was built around the collaboration bottlenecks of humans: hire product managers to write documents, hire engineers to write code, hire legal staff to revise contracts, hire operations staff to run ad placements. Because human mental bandwidth is limited, you must rely on huge departments and management layers to support the business.
Two people plus a full set of automated Agents can directly run the entire chain from market insight, software engineering, full-stack design to business sales.
They are not 30% faster in efficiency; they have completely crossed over to a different species in organizational form.
The blind spot of big companies has never been that they cannot afford computing power, but that they cannot understand that the organization itself is the biggest liability.
In the future, what will create the gap between people and between companies is fundamentally not which model you use, but whether you are using new tools to maintain the dignity of the old world, or using the underlying logic of the new world to redefine what you can do. https://t.co/bi3PMWbF3W