𝐑𝐨𝐛𝐨𝐭𝐬 𝐜𝐚𝐧 𝐩𝐡𝐲𝐬𝐢𝐜𝐚𝐥𝐥𝐲 𝐝𝐨 𝐚𝐛𝐨𝐮𝐭 𝟕𝟒% 𝐨𝐟 𝐭𝐡𝐞 𝐭𝐚𝐬𝐤𝐬 𝐢𝐧 𝐀𝐦𝐞𝐫𝐢𝐜𝐚𝐧 𝐣𝐨𝐛𝐬. 𝐈𝐭 𝐢𝐬 𝐰𝐨𝐫𝐭𝐡 𝐝𝐨𝐢𝐧𝐠 𝐟𝐨𝐫 𝟎.𝟑% 𝐨𝐟 𝐭𝐡𝐞𝐦. 😳
Both numbers come out of the same research. The distance between what a machine can do and what it makes sense to employ it for is enormous, and almost every argument about this ignores the second figure.
This week on 𝐓𝐡𝐞 𝐀𝐈 𝐁𝐫𝐞𝐚𝐤𝐝𝐨𝐰𝐧, we close the theme:
𝐖𝐡𝐚𝐭 𝐡𝐚𝐩𝐩𝐞𝐧𝐬 𝐰𝐡𝐞𝐧 𝐚𝐧 𝐒𝐌𝐁 𝐝𝐨𝐞𝐬𝐧'𝐭 𝐣𝐮𝐬𝐭 𝐮𝐬𝐞 𝐀𝐈, 𝐛𝐮𝐭 𝐬𝐭𝐚𝐫𝐭𝐬 𝐞𝐦𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐢𝐭?
Which ends where it had to end. When the thing you employed gets something badly wrong, whose name is on it.
Inside the episode:
🔴 A finished model scrapped on safety grounds, for not quite meeting the bar on staying within scope and authorisation
🔴 Zero data retention for enterprise customers, including during inference, which is the part that normally carries an asterisk
🔴 A runtime enforcing policy on an agent down at the operating system, across files, network and credentials
🔴 The FTC preparing civil investigative demands after an incident involving roughly 700 agents
🔴 An open weight model building a reliable browser exploit for $20.40, with safeguard bypass rates between 64 and 100%
Everything built this week was a boundary. 🎙️
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Disclaimer: The information shared in this podcast is for general informational purposes only and should not be considered as direct financial or business advice. Always consult with a qualified professional for advice specific to your situation. This is an Independent commentary. Third-party excerpts are credited on screen or in the show notes. Some voices in this program are AI-generated.