When the lights go out at Spa, bettors will be watching closely to make accurate predictions in real-time.
The drivers and teams report back on all the action from Friday practice at Spa-Francorchamps for the 2026 Belgian Grand Prix.
Rafael Camara achieved his fourth pole position of the season after coming out on top at Friday afternoon’s Spa-Francorchamps qualifying.
Longtime Slashdot reader schwit1 shares a report from Axios: Kimi K3, a massive new model by Beijing-based Moonshot AI, threatens the foundations of Americas AI boom. Its release Thursday dazzled developers, jolted Silicon Valley and reset the AI race overnight. Kimi immediately vaulted into the top tier of global AI, beating Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol in front-end coding tests by AI evaluator Arena.
In Arenas broader text ranking, Kimi finished ahead of Anthropics Opus 4.8 -- the company's flagship model until Fable 5 arrived in June -- while costing 40% less. Unlike the premium U.S. models its challenging, Moonshot plans to release Kimi as an open-weight model on July 27 -- allowing companies and governments to customize and run it on their own systems.
Kimi's arrival suggests that cushion may have collapsed far faster than expected. "The entire game has changed. I expect this will trigger some code red for some," AI analyst Kim Isenberg predicted. For companies, governments and developers, a model that performs near the frontier, costs 40% less and can be customized or run in-house may be the more attractive option. Its very existence puts pressure on the pricing power of U.S. labs, the enormous valuations built around their technological edge, and the case for spending hundreds of billions of dollars on ever-larger data centers.
In Arenas broader text ranking, Kimi finished ahead of Anthropics Opus 4.8 -- the company's flagship model until Fable 5 arrived in June -- while costing 40% less. Unlike the premium U.S. models its challenging, Moonshot plans to release Kimi as an open-weight model on July 27 -- allowing companies and governments to customize and run it on their own systems.
Kimi's arrival suggests that cushion may have collapsed far faster than expected. "The entire game has changed. I expect this will trigger some code red for some," AI analyst Kim Isenberg predicted. For companies, governments and developers, a model that performs near the frontier, costs 40% less and can be customized or run in-house may be the more attractive option. Its very existence puts pressure on the pricing power of U.S. labs, the enormous valuations built around their technological edge, and the case for spending hundreds of billions of dollars on ever-larger data centers.
Read more of this story at Slashdot.
