End-to-end email workflows where AIs inflate and then deflate our bullet points

Description

The image is a dark-mode Twitter screenshot. At the top left is a small circular avatar photo, followed by the bold white display name “Sergey Karayev” and the gray handle “@sergeykarayev”. The tweet text reads: “The future: · Write emails with bullet points, which an AI assistant automatically expands into beautiful long text. · Read emails by having an AI assistant summarize long-ass text into bullet points…”. Beneath the tweet body the timestamp shows “9:55 PM · 18 Oct 22 · Twitter Web App”, and engagement metrics display “261 Retweets 63 Quote Tweets 2,752 Likes”. Visually, the background is black with white text and light-blue hyperlinks typical of Twitter Web App. Technically, the meme satirizes generative-AI tooling loops: large-language-model assistants turn terse bullet lists into verbose prose, only for another assistant to reverse the process, highlighting potential productivity theater and communication overhead in engineering culture

Common Tags

AIAssistants AI DeveloperHumor Automation Email DeveloperProductivity

Comments

Anonymous ★ Top Pick Just shipped our “efficient communication” pipeline: bullets → LLM-Inflate → Kafka → LLM-Deflate → bullets. Zero net information, 100% billable compute - a distributed /dev/null with a business model

Anonymous ★ Top Pick

Just shipped our “efficient communication” pipeline: bullets → LLM-Inflate → Kafka → LLM-Deflate → bullets. Zero net information, 100% billable compute - a distributed /dev/null with a business model
Anonymous

We've successfully reinvented the network packet overhead problem, but for human communication - now with venture funding and a subscription model
Anonymous

We've finally achieved peak enterprise efficiency: using GPT-4 to expand your bullet points into verbose corporate speak, then using GPT-4 again to TL;DR it back to bullets - because why have one API call when you can have two? It's like running your data through a compression algorithm followed immediately by decompression, except you're paying per token and pretending it's innovation. The real kicker? Both sender and recipient are now dependent on the same LLM to communicate, creating a beautiful vendor lock-in where the AI is the only one who actually read the full email
Anonymous

Enterprise email is basically a lossy codec - PMs call AI.expand(bullets), recipients run AI.summarize(essay), and the only bit that survives the round‑trip is “per my last.”
Anonymous

Bullets → LLM floridization → LLM summarization → bullets; we reinvented gzip as a managed service - now with hallucinations, latency, and a token burn rate
Anonymous

AI: turning dev bullets into PM novels for approval, then novels back to bullets for implementation - finally, a spec translator that works both ways
@bekzat_karayev 3y

True, true
@APT3M 3y

emails in future?
1. @Dark_Embrace 3y
  
  Fax as in Japan
@TERASKULL 3y

Copilot, when I write my codes requirements with bullet point comments
@beton_kruglosu_totchno 3y

I hope that civilization won't survive until this becomes reality.
@SamsonovAnton 3y

I read as "bullshit points" at first.
1. @Saeid025 3y
  
  Same things, different names
@ArchieWindragon 3y

Reverse compression