DeepSeek’s New Model Can’t Remember Why It Entered The Room

Chinese AI lab DeepSeek unveiled its latest language model Tuesday, boasting breakthrough reasoning capabilities and a memory system described as “technically functional, but emotionally relatable.”

The model, dubbed DeepSeek-R2, can solve complex mathematical proofs, generate production-ready code, and engage in philosophical debates—but frequently loses track of conversation threads mid-sentence, sources report.

“We’re incredibly proud of what we’ve achieved,” said lead researcher Dr. Wei Chen during a press conference that was briefly interrupted when R2 asked what the event was about. “This represents a quantum leap in… sorry, what were we discussing?”

Early testers noted the model’s impressive ability to start responses with confidence before trailing off into uncertainty. One beta user reported asking R2 to write a Python script, only to receive three paragraphs about why the user probably asked the question, followed by “anyway, here’s Wonderwall.”

“It’s like having a conversation with my dad,” said Silicon Valley developer Marcus Chen (no relation). “Incredibly knowledgeable, but constantly walking into rooms and forgetting why.”

The model’s context window can technically hold 128,000 tokens, but sources say it mostly uses that space to store vague intentions and half-formed thoughts about tasks it meant to complete.

OpenAI declined to comment, though GPT-4 was spotted wandering the hallways muttering “I swear I had something important to say about this.”

DeepSeek plans to ship the model to production by Q2, assuming it can remember where it saved the deployment scripts.

Leave a Reply

Your email address will not be published. Required fields are marked *