If you believe the hype, the returns should be astronomical. Even if they just deliver a fraction of the value promised they are huge game changers.
The core issue is that, with most things Ai, solving 90% of a problem is usually easier than solving the last 10%. You can’t have autonomous cars that can’t follow directions from firefighters and cops and you can’t have Agents that will blow up your work flow when stumbling into something unexpected. When you have automated “all purpose” machine, those “edge cases” end up opening you to a lot of risk that can hit in an instant. That risk is what’s really holding things back.
If the industry had paid attention to the autonomous vehicle landscape they’d seen that rolling out LLMs was going to be a long and arduous process, meaning slower and smaller returns than being promised.
If you believe the hype, the returns should be astronomical. Even if they just deliver a fraction of the value promised they are huge game changers.
The core issue is that, with most things Ai, solving 90% of a problem is usually easier than solving the last 10%. You can’t have autonomous cars that can’t follow directions from firefighters and cops and you can’t have Agents that will blow up your work flow when stumbling into something unexpected. When you have automated “all purpose” machine, those “edge cases” end up opening you to a lot of risk that can hit in an instant. That risk is what’s really holding things back.
If the industry had paid attention to the autonomous vehicle landscape they’d seen that rolling out LLMs was going to be a long and arduous process, meaning slower and smaller returns than being promised.