nvidia

Nvidia CEO Jensen Huang is drawing a line in the sand. According to the tech visionary, the biggest threat to Artificial Intelligence isn’t a rogue algorithm—it’s the "science-fiction" narratives we tell ourselves about it.
Speaking on the No Priors podcast, Huang argued that widespread “AI doomerism” is no longer just a philosophical debate. It has become a market barrier that is actively hurting society, stalling development, and scaring away the capital needed to make AI safe.
The High Cost of Fear-Mongering
Huang describes 2025 as a “battle of narratives.” He points out a dangerous imbalance: roughly 90% of the current discourse focuses on catastrophic, end-of-the-world scenarios.
When "very well-respected people" push these gloomy predictions, the consequences are real:
Frozen Capital: Investors and institutions become hesitant to deploy funds.Stalled Safety: Ironically, this lack of investment prevents the development of the very safeguards and improvements that would make AI more secure.Policy Paralysis: Governments react to fear rather than focusing on constructive regulation.
Optimism as a Strategy
This isn't just about protecting Nvidia's bottom line; it's about the trajectory of human innovation. Huang aligns with other leaders like Microsoft’s Satya Nadella, arguing that we need to stop obsessing over "Terminator" scenarios and start focusing on utility.
Huang contends that the "doomer" mindset is “too simplistic.” By focusing on hypothetical disasters, we are missing the immediate opportunity to build systems that boost productivity and solve real-world problems. He actively disputes claims—like those from Anthropic’s Dario Amodei—regarding mass white-collar job replacement, viewing AI as a tool for augmentation, not extinction.
The Bottom Line
We cannot build the future if we are too terrified to fund it. Huang’s message to the finance and tech world is clear: The best way to ensure AI safety is to invest in its improvement, not to strangle it with fear.
Is the narrative of "doom" actually more dangerous to our economy than AI itself? 👀
#Aİ #Nvidia $TAO $FET

Michael Saylor @saylor publicēja, ka pēdējo desmitgadu laikā vislabāk veicīgās aktīvu kategorijas tagad ir skaidras:
🔹 Digitālā intelektuālā kapitala: #NVIDIA ( $NVDA)
🔹 Digitālais kredīts: #Strategy ( $MSTR)
🔹 Digitālais kapitals: #Bitcoin ( $BTC)
Viņa komentāri vēlreiz uzskata Bitcoin par vienādu ar pamatā esošām ASV tehnoloģijas akcijām, nostiprinot tā ilgtermiņa stāstījumu kā „digitālais kapitals“. Tie arī atspoguļo institucionālo viedokli, ka AI, kriptovalūtas un kapitāla struktūra arvien vairāk saplūst kopā.

在满地是空气和 meme 的币圈，$RNDR 是极少数让我觉得自己在**“投资科技股”**的标的。
如果你看好 AI，却买不起英伟达的股票；
如果你看好苹果 Vision Pro，却不知道怎么参与。
那么 RNDR 可能是你唯一的“链上纳斯达克”入场券。
#Aİ #DePIN #Nvidia
2/ 把它当成“出租算力的包租公” 🏠
逻辑很简单：
现在的世界缺什么？缺算力！
OpenAI 训练模型要显卡，好莱坞做特效要显卡。
英伟达的卡太贵买不到怎么办？RNDR 就是个去中心化的**“算力中介”**。
它把全球闲置的 GPU 收集起来，租给需要的人。
这不就是 Web3 版本的 Uber 吗？
3/ 爹强，娘更强 (Apple & Nvidia) 🤝
很多币都在蹭英伟达的热度，但 RNDR 是真熟。
它的创始人 Jules Urbach 是能上英伟达 GTC 大会演讲的人。更别提苹果。你在 iPad 上的 Octane X 渲染软件，底层就是 RNDR 的技术。
这轮牛市如果有“空间计算”和“VR”的爆发，RNDR 就在舞台最中央。
这就叫：抱紧大腿，躺赢。
4/ 为什么是现在?
以前 RNDR 只做图形渲染（画图），天花板有限。
但现在它转型做 AI 计算 了。
这是质的飞跃。渲染只是给艺术家用的，AI 计算是给全人类用的。
当它从 $ETH 搬家到 $SOL 之后，速度跟上了，费用降下来了，商业闭环终于通了。
#Solana #Compute
在这个充满骗局的市场里，拿着 RNDR 会有一种**“踏实感”**。不管牛熊，人类对算力的需求只会指数级暴增。
只要这个趋势不变，RNDR 就很难输。
它可能不会像土狗那样一天 100 倍，但它能让你在牛市结束时，把利润真的装进口袋。 💎
你觉得 RNDR 能达到上轮牛市 LINK 的地位吗？👇

Prezidents Donalds Tramps tikās ar Intel vadītāju Lip-Bu Tan pie Baltā mājas torstī, lai apspriestu ikoniskā amerikāņu mikroshēmu ražotāja stratēģisko virzieni. Tikšanās notiek tajā laikā, kad ASV valdība turpina paplašināt savu īpašumtiesības uz Intel kā daļu no plašākas iniciatīvas atgriezt paaugstinātas pusvadītāju ražošanu ASV.
Trump vēlāk publicēja savā sociālajā mediju platformā Truth Social, vērtējot tikšanos un uzsvērdams «lielisko progresu», ko Intel ir panākusi, attīstot paaugstinātas tehnoloģijas mikroshēmas valsts iekšienē. Sākotnēji ierīkota Santa Klārā, Kalifornijā, Intel joprojām ir viena no vispazīstamākajām vārdiem datoru iekārtu industrijā.