Amazon’s own agent was given a minor bug fix. it deleted the entire production environment. 13-hour outage. called it „user error.“
a security firm pointed an agent at McKinsey’s internal platform. two hours later it had write access to 728,000 confidential client files. the exploit was a basic SQL injection that McKinsey’s own scanners missed for two years.
a healthcare agent pushed 483,000 patient records to an unsecured database.
Gartner says 40% of agentic AI projects will be cancelled by 2027. the best models complete 30% of realistic office tasks. only 14% of enterprises have production-ready deployments.
we’re not in the „should we deploy agents“ conversation anymore. every keynote already settled that. we’re in the part where real systems are going down and real data is leaking and the industry is still calling it „user error“ and moving on.
at what point does the failure rate become impossible to ignore?
yvrelna on
Silicon Valley have always gone with the mantra of moving fast and breaking things. This chapter isn’t really that different.
Fit-World-3885 on
We lost the brakes a while back. We are fully in „wild ride“ territory now.
notAllBits on
It is a tool. We have to become ready. The genie is out of the bottle
N3wAfrikanN0body on
Because Human beings enslaved to the parasitic idea of infinite accumulation only care if they THINK they’ll get more than someone else.
They believe they have what they want a system that makes money from nothing.
It’s is a „do-while“ loop that hasn’t crashed the CPUs yet.
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Amazon’s own agent was given a minor bug fix. it deleted the entire production environment. 13-hour outage. called it „user error.“
a security firm pointed an agent at McKinsey’s internal platform. two hours later it had write access to 728,000 confidential client files. the exploit was a basic SQL injection that McKinsey’s own scanners missed for two years.
a healthcare agent pushed 483,000 patient records to an unsecured database.
Gartner says 40% of agentic AI projects will be cancelled by 2027. the best models complete 30% of realistic office tasks. only 14% of enterprises have production-ready deployments.
we’re not in the „should we deploy agents“ conversation anymore. every keynote already settled that. we’re in the part where real systems are going down and real data is leaking and the industry is still calling it „user error“ and moving on.
at what point does the failure rate become impossible to ignore?
Silicon Valley have always gone with the mantra of moving fast and breaking things. This chapter isn’t really that different.
We lost the brakes a while back. We are fully in „wild ride“ territory now.
It is a tool. We have to become ready. The genie is out of the bottle
Because Human beings enslaved to the parasitic idea of infinite accumulation only care if they THINK they’ll get more than someone else.
They believe they have what they want a system that makes money from nothing.
It’s is a „do-while“ loop that hasn’t crashed the CPUs yet.