𝐍𝐞𝐰 𝐬𝐩𝐞𝐧𝐝𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐢𝐬 𝐢𝐧, 𝐚𝐧𝐝 𝐢𝐭 𝐬𝐚𝐲𝐬 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐬𝐮𝐫𝐩𝐫𝐢𝐬𝐢𝐧𝐠. 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐡𝐚𝐯𝐞 𝐪𝐮𝐢𝐞𝐭𝐥𝐲 𝐬𝐭𝐨𝐩𝐩𝐞𝐝 𝐛𝐮𝐲𝐢𝐧𝐠 𝐭𝐡𝐞 𝐯𝐞𝐫𝐲 𝐛𝐞𝐬𝐭 𝐀𝐈 𝐦𝐨𝐝𝐞𝐥, 𝐞𝐯𝐞𝐧 𝐭𝐡𝐨𝐮𝐠𝐡 𝐢𝐭'𝐬 𝐭𝐡𝐞 𝐬𝐦𝐚𝐫𝐭𝐞𝐬𝐭 𝐨𝐧𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞. 😳
Their verdict: for most real work, more brainpower is no longer worth the extra cost. The frontier kept climbing, and the customers just stopped following it up the mountain.
Today on 𝐓𝐡𝐞 𝐀𝐈 𝐁𝐫𝐞𝐚𝐤𝐝𝐨𝐰𝐧, Quentin and Stark pull this week's theme out of that data: 𝐓𝐨𝐤𝐞𝐧𝐬. 𝐓𝐡𝐞 𝐧𝐞𝐰 𝐜𝐨𝐬𝐭 𝐨𝐟 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞.
The numbers, and the catch underneath: 📊
📊 Only 𝟔% of one big lab's usage went to its most powerful model, about 𝟏𝟏% of the dollars. By volume, the flagship is niche
📊 The blunt read everyone quoted: extra performance is no longer worth the price, especially with open models only months behind
📊 The catch: that top model carries a 𝟑𝟎 𝐝𝐚𝐲 data retention rule that bars many employees, and the data came from a tool whose job is cutting spend
So the headline is right, but for messier reasons than it looks. The real lesson: do not take anyone's average as your answer. The right model for you depends on your work, your rules, and your budget, not a chart. The only number that matters is what a model costs to get a good result on your task.
Your move:
🔴 Take the one AI task you run most often and define what a good answer looks like.
🔴 Run it on your current model and a cheaper one, comparing quality and cost side by side.
🔴 If the cheaper one clears your bar, switch the routine work and keep the pricey model only for jobs that need it.
Stop paying for intelligence by reputation. Pay for it by what it actually delivers. 🎙️
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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.