Famou

What is the Famou?

Famou is the world's first commercially available “self-evolving” super cloud, which was announced at the Baidu World Congress on November 13, 2025 by Baidu Intelligent Cloud.intelligent bodyPositioned asalgorithmic self-evolving intelligence (ASI). Its core philosophy is based onevolutionary algorithm, by simulating the hundreds of millions of years of natural selection process in the biological world, compressed the evolutionary cycle to a few hours or even shorter, to achieve the algorithm autonomous iterative optimization. The intelligent body adoptsHyper-sparse Activation Mixed Expert Model (MoE) ArchitectureIt integrates Wencent 5.0 full-modal modeling capability, combined with Ray cluster distributed scheduling and parallel computing technology, to support high-throughput and low-latency large-scale task execution. Within a few hours of its release, it attracted more than 1,000 enterprises to apply for testing, covering fields such as transportation, energy, finance, logistics, and new drug research and development.

Famou's main features

1. Autonomous Algorithm Evolution
   • Through the goal-driven mechanism, the solution space is continuously explored under a clear computable goal to generate better solutions, breaking through the local optimization bottleneck that human experts are prone to fall into.
   • For example, in the financial risk control scenario, feature mining efficiency is improved by 1001 TP4T and risk differentiation is improved by 2.411 TP4T.
2. Dynamic program output
   • The strategy is automatically adjusted according to environmental changes and the optimal dynamic scheme is output. For example, in traffic management, the average vehicle delay is reduced by 131 TP4T through AI regulation of traffic light timing scheme, and further reduced by 51 TP4T after optimization.
3. Full Modal Problem Solving
   • It supports multimodal input and output such as text, image, audio, video, etc. Combined with the native full-modal modeling capability of Wenshin 5.0, it realizes in-depth analysis of complex scenes.
4. distributed parallel computing
   • Based on Ray framework to realize distributed scheduling of tasks and support massively parallel evolution, complex task solution time is shortened from days to hours.
5. Transparent interpretability
   • Panoramic presentation of the intelligent evolution process, key nodes can be introduced to the expert manual tuning to ensure that the results are reliable and in line with business logic.

Scenarios for Famou

• traffic control
  Optimize traffic light timing and path planning to reduce congestion. For example, the average vehicle delay in Ordos YijinhuoLuo Banner was reduced by 181 TP4T after optimization through felling planning.
• energy management
  In offshore wind cable placement, finding shorter paths than manual design to shorten project delivery time; and in gas usage prediction, improving accuracy from 70% to 90%.
• financial risk control
  Enabling CITIC Baxin Bank to double feature mining efficiency, improve risk differentiation by 2.41%, and reduce bad debt rate.
• Logistics optimization
  Optimize port equipment scheduling, achieve energy saving and consumption reduction, annual cost savings of more than one million yuan.
• New Drug Development and Scientific Theory
  Accelerate the molecular design process, validate basic science theories, and shorten R&D cycles.
• industrial production
  A chemical company increased raw material utilization by 171 TP4T by reconfiguring production process parameters while maintaining product quality.

How to use Famou?

1. Apply for a test
   Currently, the service is provided through the invitation code mechanism. Enterprises are required to submit industry scenario requirements and obtain testing privileges after review.
2. Data preparation
   Input necessary data (e.g., traffic flow, financial transaction records, energy consumption data, etc.) and support multimodal input.
3. order
   Use natural language to describe the optimization objective (e.g., “reduce energy consumption of port equipment” or “improve the accuracy of financial risk control”).
4. Results evaluation and iteration
   After the solution is automatically generated by Falconer, the user can evaluate the effect and guide the algorithm to further optimization through a visual interface.
5. Deployment and Integration
   Supporting public cloud and private deployment, enterprises can choose basic, professional or enterprise edition services according to their needs.

Recommended Reasons

• technological leadership
  The world's first commercially available self-evolving intelligence that outperforms Microsoft R&D Agent and OpenAI AIDE systems in authoritative benchmarks such as CUDA Kernel optimization and machine learning engineering.
• efficiency revolution
  Reducing the solution time of complex problems from days to hours, for example, the annual energy saving and consumption reduction of over a million dollars after the optimization of port scheduling.
• scene universality
  Covering traditional industries (transportation, energy, finance) and cutting-edge fields (new drug R&D, scientific theories), promoting AI from “single-point optimization” to “global innovation”.
• cost-effectiveness
  Replacement of algorithm experts to complete repetitive labor, reduce labor costs, and at the same time through continuous iteration to improve the accuracy of the solution, forming a virtuous cycle of “the more you use it, the smarter it gets”.
• ecological support
  Relying on Baidu Intelligent Cloud's deep industrial landing experience, it provides full-process support from testing to deployment, helping enterprises quickly realize intelligent transformation.