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life is beautiful. to be valuable.

Metaverse
Joined January 2022
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Jensen Huang’s affair is just a trigger. What we are witnessing is a pre-planned power grab over Nvidia’s trillion-dollar computing empire, coordinated by Wall Street and Washington. Some sharp Chinese-American commentators call it America’s new Red Scare targeting elite Asian entrepreneurs. Bill Gates, Elon Musk and other white tech billionaires have faced repeated scandals over personal conduct. None were dragged into national security probes or boardroom takeovers. Only Jensen Huang, after a personal relationship misstep, faces an independent board investigation and hostile narrative from intelligence circles. The double standard could not be clearer: For white elites, personal flaws are private matters. For a Chinese-born leader controlling a strategic tech asset, any tiny blemish gets framed as a national security risk. Nvidia is the backbone of global AI computing, valued at roughly $4 trillion. Unlike Meta, where Mark Zuckerberg locks control with dual-class super-voting shares, or Microsoft and Amazon, deeply integrated with the Pentagon and intelligence agencies, Nvidia has no such protective structure. Public filings from 2026 show Jensen Huang holds only 3.58% of shares, and all directors plus executives together hold merely 3.94%. Vanguard and BlackRock own 9.32% and 7.43% respectively, holding decisive voting power. Without institutional shields or deep political backing, this critical tech giant sits exposed on the chessboard of great-power competition. The groundwork for this takeover was laid months ago. Longtime board allies of Huang, Mark Perry and Michael McCaffrey, stepped down from key committees. Insiders tied to Democratic establishment, Wall Street and U.S. intelligence quietly moved in: ✅ Suzanne Nora Johnson, former Goldman Sachs vice chair and co-chair of Brookings Institution, joined Nvidia’s audit committee in July 2026 with direct oversight of internal investigations and compliance. ✅ Kenneth Jacobs, vice chair of Brookings and incoming Vanguard chair, controls the largest institutional voting bloc and operates within the same inner circle as Johnson. ✅ Gilman Louie,founding CEO of CIA-backed venture fund In-Q-Tel and member of the President’s Intelligence Advisory Board, works alongside Johnson on the same national tech fund, overseeing intelligence acquisition of strategic tech firms. The media rollout followed a precise political timeline. Initial trial balloons appeared on Oct 29. On Nov 6, the very day Democrats secured full control of Congress, Julian Barnes of the New York Times (national security beat) and Demetri Sevastopulo of the Financial Times published coordinated reports, citing intelligence memos while breaking the story of the personal scandal. The real offense was never the affair. It was the 2025 deal Jensen struck with the Trump administration: offering a 25% revenue share to win export approval for H200 chips into China. A normal commercial negotiation, reframed by incoming Democrats as a dangerous compromise on U.S. AI sovereignty. This investigation will not crash Nvidia’s stock — Wall Street holds massive stakes here. But it will deliver three strategic wins for the U.S. establishment: 1. De-founder and de-Sinicize Nvidia: A new permanent national security compliance committee, led by Johnson’s faction, will strip Huang of authority over chip exports and overseas strategy. His dual Chairman-CEO role will be split. 2. Lock down China’s AI ceiling: Washington will seize full command of global advanced computing supply, regulating chip flows to slow China’s AI progress. 3. Retroactively target Trump: Once Democrats take over congressional oversight panels in January 2027, this case will be used to accuse the Trump White House of negligence for approving the H200 export deal. Jensen Huang spent 27 years building this computing empire, believing in rules, technical merit and business contracts. But there is a brutal truth in America’s power game: Top-tier strategic technology and wealth without political cover are nothing more than bargaining chips waiting to be carved up. White elites get generous room for error. Asian pioneers who climb to the very top get almost none. This is not a story about infidelity. It is a raw demonstration of racial hierarchy, capital control and partisan power politics in the United States.
This story looks like a trap set up by US intelligence. Jensen Huang was cornered by the CIA. It was either being labelled a spy or admitting an affair, so he had no choice but to go with the affair narrative to contain the damage. Anyone with a brain knows that this is just another one of America’s tired, go-to smear tactics. If they want to claim that legitimate business interests are actually acts of espionage, then let them produce some real evidence. Stop dragging China into everything at the drop of a hat. I’m sick and tired of these American games—it’s truly despicable, pathetic, and disgusting; it’s absolutely nauseating—just fucking low-class.
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Google发布第8代TPU:TPU 8tx和TPU 8i Max,其中8i Max双芯片实现计算/SRAM/HBM带宽翻倍,针对内存墙与大上下文(massive context windows and the highest compute density);8tx针对机密推理(secure and confidential inference)。Google自家TPU在密度与安全上持续推进,将是是Nvidian强劲对手。
Today, we're expanding our eighth-generation TPU portfolio with two new systems built specifically for the agentic era — bringing our total to four distinct eighth-generation TPU systems launched in a single year. TPU 8i Max was built for massive context windows and the highest compute density per rack, and TPU 8tx is optimized for secure and confidential inference. While flexible across workloads, the four systems in our 8th gen TPU portfolio give developers and organizations a purpose-built accelerator for every stage of the agentic lifecycle. @AminVahdat, SVP and Chief Technologist, AI and Infrastructure, explains why we're expanding our TPU portfolio and what everyone needs to know about TPU 8tx and 8i Max ⬇️
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Old boss once warned: "You'll never be rich since you're obviously smart, and someone will always offer you a job that's just good enough." @naval
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Andrej Karpathy: "The biggest mistake in AI right now: people are forcing agents to work instead of mastering the harness engineering for model first. We made that mistake in 2016 at OpenAI and it cost us 5 years "
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I burned a shitload of compute so you don't have to. Releasing the Harness Leaderboard. Which harness should you run your open model in? I ran 28,849 trials to find out. The leaderboard compares nine coding-agent harnesses on open models. In each comparison only the harness changes: the model, provider and reasoning effort stay fixed, and every task gets three attempts. The trials ran GLM-5.3-Flash, DeepSeek-V4.1-Flash and Flint on Terminal-Bench 2.1 and DeepSWE, for $4,746 of inference. Averaged over the three models, mini-swe-agent (@KLieret), a bash-only agent, solves 51.4% of tasks and @openclaw 27.3%. Four others are statistically tied with mini-swe-agent. One of them is Pi (@pidotdev), at 49.4% for $0.29 per solved task, about 45% less than mini-swe-agent's $0.53. The best harness depends on the model: mini-swe-agent on GLM-5.3-Flash, Hermes Agent (@NousResearch) on DeepSeek-V4.1-Flash and Kimi Code (@Kimi_Moonshot) on Flint. @opencode costs $3.35 per solved task, 11.7 times as much as Pi. See Harness Hub's Harness Lens for what the nine harnesses do differently. It documents the prompts, tools and compaction of 34 coding-agent harnesses and links every claim to its source. Leaderboard: huggingface.co/spaces/joelni… Harness Lens: huggingface.co/spaces/harnes…
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vic retweeted
eh fuck it why bother explaining rune when you can just watch this look how crazy it is we're in the future what are you doing just set your ui on fire man across mac windows and linux
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DeepSeek from @opencode is really like drugs. The speed, and how cheap it is .... I mean sometimes I start thinking about an idea, and stop myself midway and open the terminal to start writing it out there because why waste the idea when it can turn into life for less than $1 of tokens in 5 minute It is almost a mental disease at this point to have access to this.
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vic retweeted
Our security researchers built an autonomous cyber vulnerability discovery, exploitation, and patching pipeline. In a single run with an upcoming cyber model, it validated and generated patches for 948 local privilege escalation vulnerabilities in the Linux kernel at a total API cost of $1.2 million.
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I’m in love with this sentence: “One of the most underrated skills you can learn is the ability to ignore your mood and stick with the plan.”
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vic retweeted
Some news: I’m joining OpenAI to lead product management for Core Products! I have a lot of respect for OpenAI for showing the world that scaling works, for bringing AI to over a billion people, and for believing great products are core to the mission. I’m excited to work with @thsottiaux, an incredible PM team, and everyone across OpenAI. Together, we’ll build agents that have your back and your team’s, and keep you in control, so you get more time for the people and work you love. Lots to learn, and lots to build. Please keep your feedback coming!
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Andrew Huberman 说,他听过最好的建议只有一句: 找出你每天能持续完成的最大真实工作量,再找一种不伤身的方式,每周把自己重置一次。 他按这个节奏坚持了25年。
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vic retweeted
Superwhisper is shipping as the default dictation setup in Omarchy 4.5. The free 10k word cloud option means you can get started without even having to download a model. Then you can switch to local-model dictation later if you like. It's so good!
Introducing Superwhisper for Linux 🐧 Available now.
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vic retweeted
O mundo do software tá convergindo pra Rust. Quando ninguém lê mais o código, a sintaxe não importa e o que conta é o resultado final. Ouso dizer que DX (developer experience) não tem mais tanta importância e o que pega agora é ADX (Agentic Development Experience). Arquiteturas de "software" (ou sistemas) precisam se tornar amigáveis ao desenvolvimento via agentes. Isso (geralmente) significa: - Self hosted runners (pra fugir do limite e custo agressivo dos runners nativos do GitHub) - Validações automáticas (+ CI, storage e compute) - Monitoramento - Feature Flags - Estratégias de deploy/rollback eficientes Code fast, act faster
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I've been in tech for 46 years. The biggest change AI brings isn't speed. It's that a regular person with an idea can finally build it without asking anyone for permission.
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no matter what agent you're using, your voice is the best way to talk to them and hex is the best way to use your voice: - fast - runs locally - works on mac, windows, linux stable release now available: anoma.ly/hex
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Electric Car Sales by Country (2010-2025) 🔌
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Product to serve humanity!
Our second product is called Blindsight and it will, as the name suggests, enable even those who are completely blind or have never seen to see. It is ready from an engineering standpoint. Just waiting on regulatory approval.
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Notebook has just unlocked over 700 textbooks from the world’s leading publishers. Every single one is available to you, completely free of charge! @Gemini_Notebook
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Tech or product is just part of the game, and the market or customer is another part.
programmers tend to be weak at product because they become enamored with their decisions for 99% of decisions all of the options are valid. they just determine the position your product takes and the decisions you can brag about usually put your product in weak positions
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