PlayStation reportedly pulled out of Hideo Kojima's ‘PHYSINT’ due to 3 reasons: • PlayStation didn't want to invest more money in a game that wouldn’t be permanently exclusive to PS consoles • The ‘Death Stranding’ games didn’t meet PlayStation's revenue expectations • The game was tracking to be over budget after missing some deadlines (Source:

ICYMI: #ETH# was last month's best-performing major crypto (among 10 biggest by market cap)! The world's 2nd biggest crypto rose 18.2% in July 2026 🚀 ⏪ Revisit our #MarketPulse# report (published July 20th) to find out why ETH has been outperforming 👇🏽 PS: 1 week after that report, ETHUSDT got within <1% of our $2k target! #CryptoMarket# #CryptoTwitter# #CryptoGains# #ethereum# @Bybit_Official @BybitPlus @Alpha_Bybit

I got into @ycombinator I'm 18, solo founder, and 3 years ago was studying 10th grade at a random city in Iran (Qazvin, love it). In Iran, I had to build my own VPN to access UK curriculum material, then got myself into a boarding school in Oxford, paid the tuition by selling my AI thing, and then got a full-ride to study AI at Rice University. After I got in the US I did some more things that led to Magma. I don't have much to say for advice as I'm unlearning a lot recently. However, as an observation, the laws of physics seem to be flexible enough that you can simply do things; anything in fact. Human brain just evolutionarily underestimates that flexibility. PS: Repost and I'll send you the full application that got me in.

🚨 BREAKING: Ethereum reportedly isn't happy... Apparently, too many people are holding $GEORGE instead of panic selling. Can you blame them? ✅ Passive staking rewards 🎰 LottoETH 🤖 G.A.P.S AI tools 🌍 A community building for the long term Some call it a meme. Others are starting to call it inevitable. Who's still holding? 👀 Website: Telegram: X: @GEORGE_FOC

09903 HK Iluvatar CoreX → Nvidia's CEO says its China market share has effectively fallen to zero. That vacuum is now being filled — and Iluvatar CoreX is stepping into it. ByteDance is reportedly in talks to buy at least 50,000 of its chips this year, mostly for inference to power Doubao. If it lands, Iluvatar becomes ByteDance's third domestic GPU supplier, though neither side has confirmed it. Shares jumped 12% on the report. The case underneath the headline: — One of the few Chinese designers shipping both training and inference lines at volume — 2025 revenue ¥1.03B, +92% YoY; Huatai sees ¥3.04B this year on 100K+ units shipped The counterweight: still lossmaking, with a TTM P/S near 116x — above Cambricon and well above the HK semis average. A post-IPO lockup unlocks in early July, adding supply into a sentiment-driven rally. For informational purposes only. Not investment advice.

Most CEOs of $2 trillion companies stopped reading customer emails a long time ago, Jeff Bezos never did. Bezos says one customer complaint isn't a customer service problem, it's a root cause waiting to be fixed for every customer. "My email address is famous and I keep it, it's jeff@amazon. com. I'll get one from a customer and there's a defect. Something seems a little odd about it." "I ask the team to do a case study and find real root causes, usually causes, and then real root fixes." "When you fix it, you're not fixing it for that one customer. You're fixing it for every customer. That process is a gigantic part of what we do." PS. We post daily content strictly for dedicated entrepreneurs, so if you’re one of them, make sure to follow us @entreprneursonx for more. Like and repost if you found value in this post:

Elon Musk says weekly skip-level meetings expose the 'glazed' lieutenants every CEO trusts. A typical Fortune 500 CEO held a meeting once a month. Their direct reports presented prepared slides. Their direct reports' reports never made the room. The CEO heard the version of reality their VPs wanted them to hear. "I have these very detailed engineering reviews weekly." Skip-level. No agenda. No prep. Everyone in the room. All reports flow up at once. The format was designed to make pre-meeting choreography impossible. Run the meeting before it runs you. Then Musk named what choreography produces. "Otherwise you're going to get glazed, as I say these days." Musk named the corporate disease: **glazed**. Polished. Predictable. Almost useless. Musk, who ran weekly engineering reviews across Tesla, SpaceX, and xAI, knew the glaze on sight. A direct report with 48 hours to prepare an answer would deliver the version of reality that protected their team, their roadmap, and their compensation — while the engineer two levels below them, asked the same question cold, would say what was actually happening on the floor. "I just go around the room. Everyone provides an update." No slides. No deck. No script. Question and answer, traded live. After Musk standardized the format, corporate truth started matching shop-floor truth. Bad news arrived earlier. Course corrections happened faster. Compensation arguments shortened. Musk, on what the weekly cadence buys: "It's a lot of information to keep in your head." What in your weekly meetings is already a rehearsal nobody admits to? P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, @GeniusGTX is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. — Elon Musk ( @elonmusk ), CEO of Tesla and SpaceX, on Dwarkesh Patel's ( @dwarkesh_sp ) podcast

The man who built Nvidia into a $3 trillion company admitted the moment he almost lost everything before it even began. "Our first technology didn't even work. We nearly ran out of money." "I had to fly to Japan and explain to Sega's CEO that the technology they contracted us to build would not work, asked to be released from a contract we could not complete, and then asked that they still pay us." "It was embarrassing, humiliating, and one of the hardest things I have ever done." "I learned early that being CEO is not about power, but the responsibility that comes with keeping the company alive." PS. We post daily content strictly for dedicated entrepreneurs, so if you’re one of them, make sure to follow us @entreprneursonx for more. Like and repost if you found value in this post:

Introducing the Content Machine! This was the first time I walked through the mechanics of our anti-slop content system & how we drive 10,000,000+ impressions at @tenex_labs with a marketing team of...2. Thanks to @clairevo for having me on her show to share. Full-writeup & interview below... What is the Content Machine? A directory of daisy-chained skills that turn what you already say into publish-ready content. This is the key way to avoid turning into a slop cannon. It mines the places you already talk (Slack, Notion, Gmail, Linear, GitHub) plus what the internet is saying, finds the ideas worth writing, interviews you to extract the story, drafts it, and edits it to a 9/10 bar before you post. What are the principles of this system? 1) It is not a "write me a post" prompt. The core belief baked into it: the raw material must come from you. 2) The machine never invents your voice and never fabricates your insight. It does the research, the structure, and the editing, so your time goes only to the part only you can do. It focuses the human on the first & final mile of the content process. How is it structured? A two-layer split between the process & the person - The process layer is generic and shared: the pipeline, the content-type specs, the copywriting references, the onboarding flow. That is what lives in git and what gets shipped to other people. - The personal layer is yours and never leaves your machine: content-machine.config.md, creators// (profile, style guide, lessons), projects/, published/, oracle-reports/. All gitignored, and the desktop build script refuses to package any of it. What is the 10-step pipeline? 1) Creator Select. Multi-creator by design. It figures out who this run is for and loads their profile, style guide, and content lessons. Everything downstream is scoped to that person. - Onboarding (first run only). Scaffolds the workspace, auto-creates your Notion Vault, connects your sources, and builds your voice guide one of three ways: import a guide you already have, feed it writing samples, or sit for a short voice interview. 2) The Oracle. Two idea engines running in parallel: - Oracle scans what you wrote in the last 7 days across Slack, Notion, Gmail, Linear, and Git, hunting for "spikes," moments where you naturally said something worth expanding. - The Internet Reader scans what the world is saying, pulled only from the source list in your profile (handles, labs, outlets, keyword watchlist), plus a social sweep across Reddit, X, YouTube, Hacker News, and more (thanks /last30days & @mvanhorn). - Every idea is scored 0 to 10 (POV strength 25%, story potential 25%, emotional intensity 20%, lesson/framework 20%, depth 10%). Everything qualifying gets written to The Vault, a Notion database that is the durable idea bank. 2.5) Research. Before you get interviewed, a research agent builds a sourced brief: - key facts with links - current developments - what has already been said in-market - contrarian angles - open questions only you can answer. 3) Interview Panel. Six interviewer personas (Ferriss, Rogan, Larry King, Stern, Barbaro, Barbara Walters) ask you one question at a time, each chasing a different dimension: tactics, story, core truth, the hidden thing, clarity, emotional depth. It pushes back on vague answers and will not advance until it has 2 to 3 specific stories with real details. 4) Production. Your interview becomes a raw markdown file: stories, core insights, quotable moments, the emotional anchor, surprising reveals, the "so what." Your exact words are preserved. This file is the source of truth for everything that follows. 5) Refinement. Now it drafts, and only now. It must read your style guide, your content lessons, and the spec for the chosen format (LinkedIn post, X thread, long post, playbook, podcast promo, reaction post, article, and so on). 6) Writer's Council. Six reviewers score the draft: Morgan Housel (will this matter in 10 years), Tim Urban (is it confusing), Shaan Puri (would I stop scrolling, plus three alternate hooks), Greg Isenberg (what can someone steal), David Perell (is it personal, observational, playful), and a Slop Detector hunting AI tells. Each gives what's working, what needs work, a fix, and a score. 7) Revision Loop. Under 9/10 goes back around. The smart part: fixes get sorted into editorial (the machine rewrites it itself) and information gaps (only you have the answer), and information gaps route back to the Interview Panel with targeted questions rather than letting the machine make something up. Max 3 editorial cycles. At 9/10 the piece becomes the anchor. 8) Repurposing Engine. One anchor fans out into 10+ derivatives: X article, LinkedIn article, short X posts, short LinkedIn posts, a playbook if there is a framework in it. Each one is written native to its platform with a fresh hook, not cross-posted, and each runs the full council and revision loop to 9/10 on its own. This is the multiplier. 9) Distribution (optional, off by default). UTM tagging, a scheduled publishing queue, CRM capture of every touchpoint, attribution reporting back to pipeline, and marking the Vault row as Published. 10) The Learning Loop, always running. After you approve a piece it diffs your first draft against the final, extracts the pattern, and asks you to confirm it. Confirmed lessons go into content-lessons.md and override the style guide. Once a lesson proves out across a few projects it graduates into the style guide itself. Your first drafts get better over time instead of you re-explaining preferences. P.S. i'm thinking about opensourcing this. should i do it?