Nouvelles de l'IA

Short Answer:Between DeepSeek V4 and OpenAI GPT-5.5, GPT-5.5 generally wins overall, especially in reasoning, coding, and complex task execution. However, DeepSeek-V4 performs competitively—and even outperforms in some areas like HTML visualization—while being more efficient and lightweight. Bottom line: GPT-5.5 is stronger overall, but DeepSeek-V4 offers impressive performance at much lower cost. On April 24, 2026,

Right around the release of GPT-5.5, Claude finally admitted it: Yes, the model got “dumber,” and all usage quotas have been reset. After over a month of denial, the intelligence drop bug finally came straight from Anthropic itself: Stack those three bugs together, and Claude’s overall experience took a serious hit. Good thing competitors applied

DeepSeek V4, which made the whole world wait bitterly until April, has finally arrived! Just now, DeepSeek V4 really came! Today, DeepSeek, the one that once broke the dominance of closed-source models almost by itself and proved that DeepSeek starts updating frequently to shift industry dynamics, has officially announced to global developers with the preview

GPT-5.5 is approximately 2× more expensive per token than GPT-5.4, but in real-world usage, the total cost increase depends on how much it reduces token usage and improves task success rates. In most practical scenarios I’ve analyzed, even with ~30% token reduction, overall costs still rise by 30–60%. GPT-5.5 only reaches cost parity when token

Just moments ago, Altman dropped GPT-5.5 in the middle of the night. A full-scale strike against Claude Opus 4.7, taking back the crown of the strongest model on earth. From coding to scientific research, the era where AI independently takes over the computer really seems to have arrived. Silicon Valley isn’t sleeping tonight. Just now,

Just now, DeepSeek’s GitHub started updating frequently. It launched and open-sourced a new repository, Tile Kernels, and at the same time updated the DeepEP repository, bringing DeepEP V2 online. It has been less than a week since DeepSeek quietly updated Mega MoE and FP4 Indexer last time. DeepSeek Tile Kernels Link: https://github.com/deepseek-ai/TileKernels According to the

Just now, Yao Shunyu led the team to “rebuild” Hunyuan, and the first large model has gone live. Just now, Tencent Hy3 preview has arrived. This is the first version of Hy3 released after Tencent’s Hunyuan team restarted from architecture and infrastructure. The initial batch of models is relatively small in size, positioned toward practicality.