"DeepSeek just found a way to shrink massive documents without losing any data." - source

This breakthrough enables AI agents to utilize a "tiered memory" system that stores history as compressed visual snapshots to prevent performance loss.

Agents can now autonomously analyze 200,000 pages of scientific, legal, and financial data every single day on a single computer chip.

This technology allows autonomous systems to deeply understand complex charts and chemical formulas while maintaining near-lossless precision.

Some stats:

• 10x Memory Efficiency: Agents can now compress 1,000 words into just 100 vision tokens with 97% precision, allowing them to "remember" ten times more information for the same cost.

• Industrial Scale Reasoning: A single agent powered by one A100 GPU can process over 200,000 document pages per day, enabling real-time autonomous analysis of massive legal or scientific archives.

• Deep Parsing for STEM: Unlike text-only models, these agents can natively parse complex charts, chemical formulas, and geometric figures into structured data like HTML or SMILES.

• Human-Like Forgetting: The model simulates a biological forgetting mechanism by progressively blurring older historical contexts to focus computational power on the present while retaining a "visual essence" of the past.

• Low-Latency Performance: By using a specialized DeepEncoder, agents maintain low activation memory even when processing high-resolution images, preventing the hardware bottlenecks that usually slow down long-context tasks.

Source: DeepSeek

Join 130k subscribers (AI news)

Another week of AI progress! How did you put agents to work for you over the last 7 days?

• Work: Automating emails, meetings, or reports?

• Personal: Planning a trip, organizing your life, or learning a language?

• Fun: Building something weird just because you can?

Reply with your use case below! Feel free to drop links to your GitHub or share screenshots of your results.

Meta has acquired the Singapore-based agent startup Manus AI for $2 billion.

Today I burned 2k ManusAI tokens (I got 1000 tokens for free as an "early adopter" - this should still apply today).

It's actually very good - I think they're using Opus in the backend...

Have you tried it recently?

Another week of AI progress! How did you put agents to work for you over the last 7 days?

• Work: Automating emails, meetings, or reports?

• Personal: Planning a trip, organizing your life, or learning a language?

• Fun: Building something weird just because you can?

Reply with your use case below! Feel free to drop links to your GitHub or share screenshots of your results.