On July 21, 2026, Bindu Reddy, CEO of Abacus.AI, publicly urged the AI startup behind Kimi to quickly release its full weights to the community. This move comes as the model, despite being marketed as open-weights, faces significant operational hurdles. Global users are currently struggling to integrate Kimi into production environments due to extremely slow response times.
Detailed Developments
According to Bindu Reddy on the social media platform X, although Kimi claims to be an open-weights model, almost no enterprise or developer can currently deploy it effectively at scale. The core issue lies in its sluggish response times and frequent connection timeouts. This has left applications relying on Kimi virtually paralyzed when facing high volumes of traffic from end-users.
Technical & Technology Analysis
From a technical perspective, a model is only truly open when developers can download the weight files to self-host them on their own server infrastructure or independent cloud services. Currently, Kimi's network congestion indicates that the model is still running on intermediate server infrastructure controlled by its developers, which lacks the bandwidth and compute resources to handle large-scale requests simultaneously. According to industry analysis, distributing the model weights on open-source sharing platforms like Hugging Face would allow the community to apply hardware optimization techniques such as quantization. This would enable the model to run smoothly across various GPU configurations without relying on the original servers.
Expert Insights & Perspectives
Bindu Reddy emphasized that the fastest and most efficient way for an AI model to scale is to distribute it directly across the global open-source network. Keeping the model in a closed environment while suffering from network bottlenecks only damages the project's credibility. 'Kimi should release their weights as soon as possible,' Reddy declared. This sentiment resonated strongly with the software development community, who have long been skeptical of models marketed as 'open' but actually operating as closed APIs.
Impact & Future Outlook
The debate surrounding Kimi reflects a clear reality: the tech community is becoming increasingly rigorous regarding 'open-source' claims made by AI developers. For users and software engineers in Vietnam, direct access to the weights of high-quality models like Kimi would significantly reduce operational costs and enhance data security. The next move by Kimi's development team—whether or not to publish their weights—will determine if this model can retain its global developer base or if it will be phased out by more open competitors.