众所周知，人形机器人，那可是今年爆火的科技。但我发现这玩意有多火，争议也就有多大。 因为自打春晚机器人扭秧歌开始，这行发展的是真的快。4月份机器人马拉松才跑步呢，8月份就能开运动会了。 各种机器人展会今年也不少，甚至WAIC这个往年搞大模型的展会，今年也腾了好大一块地放机器人。 但你别看场面上热热闹闹，喧嚣之下也涌现出另一种声音。 今年年初金沙江创投的朱啸虎直言："人形机器人就是泡沫"。 不少网友其实也有点这意思，道理嘛也显而易见，视频上这一个个机器人好像都能上天，巴不得赶明儿就搞成终结者，然而现实里，这些钢铁boy们连个 门都打不开。。。 先说立场，哥们我是觉着，具身智能这玩意以后肯定大有作为，包赢的。但是为了搞清楚，为啥这里边儿有这么多争议，我也去扒了行业现状。 结果没想到，我发现有些问题还真不完全是瞎说。 因为在具身智能这个产业里，确实还有一些难点。就别说网友了，甚至不少业内人士对这些行业问题也没达成共识。 举个例子，这行现在连技术路线都还没统一。未来到底是强化学习牛逼，还是世界模型牛逼？我们应该更关注数据，还是更关注模型？……这些问题都没 个定论，大家只能各搞各的，没法形成合力。 懂行的朋友看到这可能 ...

Core Viewpoint - Huawei has launched the world's strongest computing supernodes and clusters, emphasizing their critical role in the future of artificial intelligence infrastructure [1][3]. Group 1: Supernodes and Clusters - Huawei's latest supernode products, Atlas 950 SuperPoD and Atlas 960 SuperPoD, support 8192 and 15488 Ascend cards respectively, leading in key metrics such as card scale, total computing power, memory capacity, and interconnect bandwidth [3]. - The Atlas 950 SuperCluster and Atlas 960 SuperCluster have computing scales exceeding 500,000 cards and reaching 1 million cards, making them the strongest computing clusters globally [3]. Group 2: Technological Innovations - Huawei has introduced the first general-purpose computing supernode, TaiShan 950 SuperPoD, which can replace various large and small machines, including Exadata database machines [4]. - The company has developed a new interconnect protocol, Lingqu (UnifiedBus), to address the challenges of large-scale supernode interconnect technology and is inviting industry partners to collaborate on related products [4]. Group 3: Chip Development and Ecosystem - Over the next three years, Huawei plans to launch multiple Ascend chips, including the 950PR, 950DT, 960, and 970 chips, with specific release timelines [5]. - The developer ecosystem for Huawei's Kunpeng and Ascend has surpassed 3.5 million, with over 5,600 partners and more than 15,500 certified solutions [5]. - In existing computing centers in China, the Ascend solution accounts for approximately 85% of the domestic solutions deployed [5].