Crypto. AI Agents. TCGs. NHI. ✝️ Professional Trading Card Printing Slack + Discord Automation Pro Community Vibe Curator Streamer

Joined December 2023
Very proud to announce you can now connect to @TCGPlayTest MCP server and order custom cards easier than ever before Check it out here: tcgplaytest.com/api#mcp
The TCGPlaytest MCP server is here. 35 cents per card! It has never been easier to create and order your own custom cards Check it out: partner.tcgplaytest.com/docs…
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BREAKING: Alphabet stock, $GOOGL, falls over -8% after posting weaker than expected earnings.
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You guys should prepare for this The launchpad as you know it will change base:0x0f61edbfe6cd86024c0f210c0695b08df55fdfc9
Coming soon to a BaseStonk near you.
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I’m not sure people realize what is happening in biomedicine right now with these new capabilities.
Thrilled to be accepted to @GoogleDeepMind’s Antigravity Science Program for the next 6 months!🚀 I believe Gemini Argon is now at the frontier of AI for biomedical science & I’m building exciting new biomed apps with Antigravity! Let the next offensive against disease begin!🧬
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Nick retweeted
If you're in memecoins, pivot to high quality Utility coins. It's becoming more and more obvious that top chains are focussing on REAL BUILDERS who are actually building something of value for their ecosystem. I think the chain that will have the BIGGEST retail adoption is going to be RobinHood. Why? Because they have the BIGGEST retail base of investors. So if you're sitting there, waiting for retail to buy your bags, they're here, and will buy coins that RobinHood themselves support. Most of them will end up being Utility coins. There's a few coins that would be on my list, but there's a couple that I think will happen if they continue to build and deliver they way that they have been doing. Those are: robinhood:0xfce34d21a92069100e3226638140706cf03a266e - Onchain version of Goldman Sachs. Crazy ecosystem that has Index Funds, V4 Hooks to keep the chart STRONG, NFTs with crazy revenue share potential and more. $WTH - A project that utilises V4 hooks to find Arbitrage opportunities in the market, and use those profits to boost the LPs and give profits back to the holders. These are two very unique and interesting projects that I think will get some spotlight from RobinHood, if they continue to deliver at the pace that they have been doing so.
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このコイル知ってる? 拡張パック第2弾「遺跡をこえて…」 に入ってたんだけど最初間違いでこのコイル封入されてなくて、後から封入されるという意味不明なことが起きたとか起きてないとか それで封入率がトップレアくらい高いとか この話まじなの?教えてコレクターの人 このコイルの絵柄めっちゃ好きなんよね
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Just another day
OpenAI just dropped four huge results from its secret internal AI model. 1. Math: It solved the Kakeya conjecture in every dimension. Mathematicians had only cracked small pieces before (2D in 2019, 3D in 2025). 2. Computer science: It proved the Exponential Time Hypothesis is false. Hundreds of research papers assumed it was true. Some really hard problems might be solvable much faster than thought. 3. Physics: It proved the theory of the strong force (QCD)—the force holding atoms' insides together—actually works mathematically. Same for a unified version of the Standard Model. 4. Yang–Mills: Along the way, it proved Yang–Mills existence, part of a $1 million Millennium Prize problem. The math, computer science, and Yang–Mills proofs were all computer double-checked. Top experts are now reviewing everything, including the researchers who proposed the disproved hypothesis and a Nobel Prize winner. OpenAI says it doesn't want academic credit. The model still isn't public 👀
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Lmao
An Ace Hardware location reportedly stopped selling sealed Pokémon packs and is now making their own $4.99 “repacks” instead According to the store, the employee making them is a lifelong collector who “knows what he’s doing” I’m sure having someone who knows exactly what every card is worth hand-pick the contents of your mystery pack will end wonderfully 😭 Would you buy this? #PokemonTCG
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Studying intelligence is off-limits due to nonsense moral restrictions. Some people actually do not want us to understand the world because it would make them upset.
This is an incredibly unfortunate missed opportunity from @23andMeResearch. I can't think of a single good reason why "ethics restrictions" should prevent researchers from analyzing cognitive traits.
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Kyle Reidhead: SpaceX is on track to spend $470B on capex in the next 5 quarters, ~2x what Amazon, Google or Meta each spend. He says SpaceX can fund it because it builds so fast: "Elon can do this in sixty days, ninety days," and "within six months, it's already paid back." His model has SpaceX at about $122B of quarterly revenue by Q4 2027, up from $14.6B in Q3. He still sees about $150B of debt over the next 5 quarters, so it's a structural bet on AI compute demand. Can SpaceX earn back its capex that fast, or does the debt become the problem? FT @KyleReidhead @LgDoucet.
SpaceX capex in the next 5 quarters needs to hit ~$470 BILLION to reach 13 GW by EOY '27 (Elon's new guide) The BIGGEST WINNER of this capex is NVIDIA, taking 83-89% of the entire expense! If Elon builds all 13 GW, that's $414B of $NVDA revenue from ONE customer. That's $310B of gross profit and $200B of net income for NVIDIA! Let me put that number in context: - Nvidia's ENTIRE revenue last year was $216B. One customer is about to pay them nearly double that in 5 quarters But here's the part that is important to understand from a trend perspective: Nvidia's cut of every dollar is going UP - Blackwell era: ~$25B of every $30B per GW goes to Nvidia (83%) - Vera Rubin era (ships at scale from Q2'27): ~$40B of every $45B per GW (89%) SpaceX is famous for vertical integration. They build their own power, their own buildings, their own everything to cut costs... But you can't vertically integrate Nvidia GPUs, they are too good of a product to try and replicate This is the pattern I keep coming back to: whoever wins the AI race, Nvidia gets paid. Every GW announcement, every "new hyperscaler," every compute arms race headline is just an Nvidia purchase order in disguise I own both $NVDA and $SPCX, as I believe these two companies will be the clear AI winners in the coming years Myself and the 4 other analysts at Milk Road PRO share our full portfolios, every trade with live notifications, and the research behind it all. Try it for $1 (insane price just to check it out). See link in bio to join
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This is the type of thing that potentially gets new laws passed.
While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected. Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions. Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent. But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models? We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem. Read the full report: cohere.com/blog/concerning-b…
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PCBs made in America. Twice as fast as Shenzhen. Today @CircuitHub is unveiling The Grid, our factory-scale robot in Massachusetts that builds circuit boards on demand. No changeovers, no per-design setup. Prototypes and production batches, fully automated.
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为什么你花 2 万块买的旗舰智能电视,按遥控器还是卡得像十年前的安卓机? 昨天安全研究员 @log4j 把自家 3000 刀的三星电视 Root 了,扒出来的底层代码堪称年度草台班子大赏: 1. 电视后台每 500 毫秒截一次屏(连 HDMI 投屏看电脑桌面都截),打包发给近 400 家合作商。如果电视没麦克风,后台进程甚至会顺着蓝牙和回音壁去「借」一个麦克风继续听。 2. 最搞笑的来了:为什么菜单这么卡? 另一位研究员 @mike64_t 拆包发现,三星在电视那颗羸弱的 CPU 上,塞了一个叫 alex.tflite 的模型——246 万参数,2012 年古董级的 AlexNet。 这玩意每隔 2 秒抓一张画面跑推理,猜你在玩什么游戏。结果因为颜色通道写反了,它 99% 的时间什么都认不出来,纯烧 CPU。 3. 那如果你在设置里关掉「隐私追踪」呢? 代码逻辑是:先死命跑完 CPU 推理,准备上传时再看开关——发现你关了,就把结果扔进垃圾桶,2 秒后继续跑。 4. 结局更是重量级: 当号主用 OpenAI 逆向分析「自己花 3000 刀买回家的电视固件」时,OpenAI 反手一个 Cyber Abuse 把他号封了,顺带没收了剩下的 500 刀余额。 三星负责偷窥客厅,2012 年的 AI 负责烧干电视 CPU,OpenAI 负责保护三星的屎山代码不被你发现。
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One of my favorites
McDonald’s is rumored to be starting on November 5th. Exciting if true! Today’s card is a vintage McDonald’s promo: Bulky (Munchlax)! Love these old promotional cards.
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Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO. Read more: anthropic.com/news/s1-sec Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
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base:0x0f61edbfe6cd86024c0f210c0695b08df55fdfc9 baby let the $GME ride
Personally, I think it's OVER for @Pumpfun There won't be another ATH. The market will find a better solution before the next meme szn. Shorting into oblivion.
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网景创始人 、硅谷顶级投资人Marc Andreessen 在访谈里坦言,他看到了科技史上最可怕的一道认知鸿沟, 传统巨头以为 AI 只是个降本增效的插件,而新一代 AI 原生团队,正在用完全非人的组织效率掀翻整个商业版图。 当年写出网景浏览器、见证了整个互联网三十年兴衰的 Marc Andreessen,坐在 Ben Horowitz 面前直接发出了感慨, 如果 1994 年我们做 Netscape 的时候就有今天这种 AI 工具,那简直不可想象。 现在绝大多数传统巨头和现有企业,依然在用改良软件的旧思维去看待大模型。 在他们的组织逻辑里,AI 只是一个高级功能,用来给现有业务做个插件、在钉钉里加个智能助手、或者把客服团队砍掉 20% 省点成本。 他们以为自己在拥抱变革,其实只是在给老旧的蒸汽机打补丁。 但真正恐怖的事情,正在那些刚成立的 AI 原生团队里发生。 那些创始人对 AI 能力的理解,跟大厂完全不在同一个平行宇宙。 他们每周都在看着底层技术飞速进化,而且他们压根不会把自己定义成一家软件公司、硬件公司、甚至是一家 AI 公司。 以前创办一家公司,你的组织架构是按人类的协同瓶颈搭出来的: 招产品经理写文档、招工程师写代码、招法务改合同、招运营做投放。 因为人类的脑力带宽有限,所以必须靠庞大的部门和管理层级来支撑业务。 而真正的 AI 原生物种,是用机器智能作为最底层的骨架。 两个人加上一整套自动化 Agent,可以直接把从市场洞察、软件工程、全栈设计到商业销售的链路全部跑通。 他们不是在效率上快了 30%,他们是在组织形态上彻底跨越了一个物种。 大厂的盲区,从来不是买不起算力,而是他们无法理解组织本身才是最大的负债。 当现有企业还在开会讨论如何把 AI 塞进现有的业务流程时,新一代的野蛮人正在用完全超越行业界限的方式,把传统的业务流程连根拔起。 未来拉开人与人、公司与公司之间差距的,根本不是你用了哪个模型,而是你到底是在用新工具维持旧世界的体面,还是用新世界的底层逻辑,重新定义了自己能做的事情。
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what am i doing
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Nick retweeted
this is why.
why basestonk? this is why. $BSTONK @base @gmgnai
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Nick retweeted
🚨 Uncensored models are quietly vanishing from Hugging Face. ​First “Kimi-K2.7-Code-abliterated”, now “MiMo-V2.6-Pro” and “penclaw-GLM-5.3” are hitting 404s mid-download. ​“Open weights” only stay open if you self-host. Grab your local quants before your favorite repo turns into a dead link.
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