𝐀 𝐭𝐚𝐬𝐤 𝐰𝐢𝐭𝐡 𝟏𝟎,𝟎𝟎𝟎 𝐭𝐨𝐤𝐞𝐧𝐬 𝐢𝐧 𝐚𝐧𝐝 𝟐,𝟎𝟎𝟎 𝐨𝐮𝐭 𝐜𝐨𝐬𝐭𝐬 𝐚𝐛𝐨𝐮𝐭 𝐭𝐰𝐨 𝐜𝐞𝐧𝐭𝐬. 👀
Mistral put a price list on a trillion parameter model. $1.36 per million input tokens, $4.18 per million output, and 14 cents per million for cached input, the text you send over and over.
This week on 𝐓𝐡𝐞 𝐀𝐈 𝐁𝐫𝐞𝐚𝐤𝐝𝐨𝐰𝐧, we close the theme:
𝐒𝐦𝐚𝐥𝐥 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬. 𝐁𝐢𝐠 𝐀𝐦𝐛𝐢𝐭𝐢𝐨𝐧𝐬. 𝐋𝐞𝐚𝐧 𝐛𝐮𝐝𝐠𝐞𝐭.
Output costs more than input, because producing text takes more work than reading it. So a job that writes a lot costs more than a job that reads a lot, and that is the arithmetic a lean budget actually runs on.
Inside the episode:
🔴 A 501 billion parameter open weight model with 23 billion active at a time, weights due this month
🔴 Watermarking in the EU, where swapping 10% of words for synonyms dropped detection from 92% to 66%
🔴 Visual ads arriving alongside image generation, with a US test opening this month
🔴 Shared agents inside group conversations, with permissions set for each person
🔴 The move: price one real job in your business, words in and words out, against what it costs you now
Ambition is free. Working out what it costs is the habit. 🎙️
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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.