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Elon Musk on the biggest mistake people make

Anthropic Staff Engineer talks about the future of MCP. While everyone is calling MCP dead. Watch the video. Skills and MCP wired together is what 2026 agents will run on. Coding agents were 2025. Knowledge worker agents across five SaaS apps are 2026. The article below isn't bluffing. Someone is already charging $ 3K per setup.

Mark Cuban just told every CEO in America their expiration date is closer than they think. No stage. No buildup. One sentence that split a room. Cuban: “There’s only two types of companies in this world. Those who are great at AI and everybody else.” That’s not a prediction. That’s a sorting that already happened while you were still forming a task force about it. He didn’t warn you the future was coming. He told you it already left without you. The default executive move right now is delegation. Let the tech team handle it. Get a summary. Wait for clarity. Cuban buried that entire playbook in one line. Cuban: “If you’re a CEO, you can’t just say, ‘I’m gonna get my tech guys to understand it and educate me on it.’ You have to understand it.” The CEO who delegates AI understanding isn’t buying time. They’re handing the steering wheel to someone who doesn’t choose the road. This isn’t a corner office problem. Cuban: “Whether you are an employee, you’re gonna have to understand how it impacts your job, or how you can use it to be better at your job.” Nobody is building you a ramp. Nobody is holding the door. The people who internalized this six months ago aren’t slightly ahead. They operate at a different speed entirely. They compound daily. Everyone else is still standing in the blast radius wondering what the sound was. Then Cuban said the thing nobody in media says without a safety net. Cuban: “If you don’t know AI, you are going to fail. Period, end of story.” No footnote. No hedge. No soft landing. A verdict that landed like a lock clicking shut. The sorting is already happening. In hiring decisions that never get explained. In contracts awarded to the faster company while yours was still forming a committee. In promotions given to the person who automated half their role before anyone asked them to. Every technological shift sells the same lie. That the window stays open long enough for everyone who wants through. No one tells you the moment you were sorted. You just wake up one morning on the wrong side of a line you never saw drawn.

a16z共同創業者・元Netscape創業者マーク・アンドリーセン 「起業家でいるのは、何度も顔面をパンチされ続けるようなものだ。そのうち、自分の血の味が好きになってくる」

ハーバード卒の25歳が、24時間365日株やFXをトレードできるLiquidを開発 7ヶ月で約4,350億円の取引を処理 ━━━━━━━━━━━━━━ Franklyn Wangは、元Two Sigma（世界最高峰のクオンツトレーディングファーム）でクオンツ研究者 2025年8月にLiquidをローンチ 累計約40億円調達 ━━━━━━━━━━━━━━ 「取引市場は9時〜17時にしか動かない」 でもニュースは深夜に出る。 地政学的事件は週末に起きる。 価格変動は市場の開閉を待たない。 ━━━━━━━━━━━━━━ 株・プレIPO・予測市場・ コモダティ・FX・暗号資産。 500市場以上を1つのアプリで24時間取引できる。最大200倍レバレッジ。120カ国・40,000人が使用

Jensen Huang started NVIDIA in a Denny's, now at $3 trillion it's the most valuable company

Warp is now open-source.

Jack Dorsey went on Brian Halligan’s podcast (ex-HubSpot CEO). Here’s what he said about AI: - Most founders use AI as their junior assistant intern, something that reports to them - Jack thinks the opposite, and AI is the boss - He thinks the future company is 1 AI brain in the middle making the calls and a small group of humans feeding it context - No middle managers

Andrej Karpathy just spent two hours building a GPT model from the ground up, step by step, on camera. Free to watch. Straight from one of the early minds behind OpenAI. No shortcuts. No vague theory. Just a full breakdown of how these systems come together line by line. Save this one. Watch it tonight. By the end, you’ll understand more about how GPT models work than many expensive AI programs ever explain. Some bootcamps charge thousands for similar material. This gives you the foundations without the price tag.

Paul Tudor Jones just said something the market really doesn't want to hear. "We're clearly so leveraged in equities in this country. We're 252% of stock market cap to GDP. In 1929, we were at 65%. In 1987, about 85%. In 2000, we got to 170%. And now we're at 252." Every number he listed, 1929, 1987, 2000 ended the same way. "If you think about the periodicity of significant bear markets since 1970, we get a mean reversion about every ten years. That would be a 30 to 35% decline. Well, 35% on 250% of GDP is 89% of GDP. The reverse wealth effect, oh my gosh. 10% of our tax revenues are capital gains; they go to zero." This isn't a perma bear making noise but Paul Tudor Jones called the 1987 crash before it happened and made 200% that year. When he talks about mean reversion, he's speaking from a track record that almost nobody in finance can match and then he said this: "If you buy the S&P at this current valuation, the 10-year forward returns are negative when you buy with the S&P P/E of 22. That's what history shows." He's right, every major study on long-term equity returns shows that starting valuation is the single most predictive variable for 10-year forward performance. At a P/E of 22, history doesn't give you a great answer. "The real problem is, if you look at private equity in 2007 and 2008, that was about 7% of institutional portfolios. Now it's about 16%. Real estate's gone up. Infrastructure bets have gone up. We're so much more illiquid than we were in 2008." In 2008, the crisis was bad because the system was leveraged. Today the system is leveraged and illiquid, pension funds, endowments, and sovereign wealth funds can't hit a sell button on private equity. They can't exit real estate in a week, when forced deleveraging starts in a system this illiquid, the exit doors are half the size they were last time. Jones didn't say a crash is coming tomorrow. He said the conditions that produce the worst outcomes in financial history are more present right now than at any prior peak he's seen in 50 years of trading. He said buying the S&P at these levels and expecting the same returns as the past 100 years is math that doesn't work because those 100-year averages include decades when stocks were priced at 6 or 7 times earnings, not 22. "Valuation matters a lot, and the stock market's really high, and it's going to be really hard to make money from here."

I literally just watched GPT-5.5 via codex beat an Amazon customer associate in real time. 💀 I asked it to get me a refund, and I watched it navigate the settings, cancel the subscription, then it went step further into the help page. I thought it was going to request a phone call (which would prompt me to take over) Instead, it opened: “Chat with an associate now.” That’s when I sat up on my couch because I knew it was going to get real The agent said: “Your subscription is active.” And GPT-5.5 immediately explained that it only shows as active because cancellation leaves access through the billing period, but that I wanted it stopped now and refunded. And my jaw just hung open, it was the first time I watched sand handle a customer service agent for me in real time Once the agent confirmed the refund, it just ended the chat no mercy no thank you LMAO First time I’ve watched a human customer service agent get outmaneuvered by AI in real time. And it made me 15$! almost paid for itself in 5 minutes

Today is the first time Elon & Sam are in the same room since this convo from 2017 At one point Sam asks: "I hope I don't regret asking this on camera but how do you think OpenAi is growing as a 6 month old company?" Crazy that Elon's answer back then also includes the reason they are facing off in court today 9 years later

BROWSER TRACE GIVES AI AGENTS FULL BROWSER OBSERVABILITY WITH NETWORK DOM SCREENSHOTS AND LOGS

THIS OPEN SOURCE CLAUDE JOB AGENT SENT 700 APPLICATIONS AND LANDED AN OFFER

AIの性能を試す時によく物理シミュレーションを作ってみるんだけど、昔だと苦労したものが一瞬で作れる。 構造力学の教科書ももうインタラクティブに作りながら数式とコーディングと結果を遊びながら理解する形式に移行するかもしれない。

Modern golden bird LED wall light

The biggest IPO run in the history of the market three $1T+ companies. possibly all going public in the next 12 months. SpaceX IPO: $1.75T. OpenAI IPO: $1T Anthropic IPO: $1T we're living through the greatest technological wealth creation in history.