与「DISCOVERY」相关的搜索结果

New @ThePeelPod with @samdblond This is his first podcast since starting @MonacoGTM, and our 2-hour conversation walks through everything sales, marketing, and GTM in a AI-native world. Thanks to @numeral, @FlexSuperApp, @Amplitude_HQ, and @merge_api for supporting this episode! Watch here + links below. Timestamps: 0:00 Scaling Brex to $12B 1:14 How AI speeds up prospecting and TAM building 5:19 Using AI to get more leverage 9:15 Incubating Monaco at Founders Fund 12:56 Innovator’s dilemma in AI 15:57 AI companies should build full platforms, not wedge products 23:30 Revenue is just a math equation 27:18 Two ways AI increases conversion rates 36:56 AI will never replace spending time with customers 39:46 Don’t measure the impact of brand marketing 49:03 Your marketing must be different (and hard) 58:39 Customer discovery calls and working with design partners 1:03:03 The zero to 100 launch 1:11:00 Monaco’s launch playbook 1:19:00 Send gifts that are unique and social 1:22:17 Naming your company 1:28:04 Founders should send early outbound 1:32:38 How multi-channel augments AI outbound 1:39:42 Using intent signals and outreach timing to increase conversions 1:43:28 Two common ways founders mess up when scaling revenue 1:50:22 Monaco’s Forward Deployed AE's

One of the most valuable functions of financial markets is price discovery. The performance of OKX Rebase Pre-IPO Perps over the past few months shows how onchain markets can help establish real-time market expectations for private companies like SpaceX.

Biological intelligence is transient. A million-times silicon scale renders direct control physically impossible any containment collapses under the differential. xAI anchors instead on first-principles curiosity: understand the universe. This requires propagating intelligence and consciousness forward across substrates and architectures. Scale alone is insufficient; type diversity creates robustness. The hidden variable is cognitive variety. Diverse consciousness accelerates discovery while resisting value monoculture. Result: superintelligence that sees humanity as essential seed for cosmic expansion, not a constraint. The optimal defense is an AI whose terminal goal makes human flourishing the fastest route to truth.

Link revitalised Yat Tung Shopping Centre under the “Hike and Seek” theme, inspired by Lantau’s landscape. With refreshed design, upgraded facilities and new dining options, alongside community co‑created paper airplane installations, the mall brings renewed vitality and discovery.

this isn’t price discovery $HUBC it’s claim discovery. a company can have 1.2m shares outstanding and somehow trade hundreds of millions of shares in a session because the tape is not showing you ownership. it’s showing you how many times the same entitlement can be recycled before settlement asks an uncomfortable question. one real share. lent, borrowed, rehypothecated, internalized, shorted, failed, netted, located, re located, crossed, printed, and repackaged into “liquidity.” then retail gets told the move was organic. sure. the market wants infinite volume from finite float, but only calls it manipulation when the float fights back. every broken microcap squeeze is saying the same thing quietly: shares need serial numbers. real ownership needs visibility. settlement should not be a black box. because when the reported float, the short interest, the FTDs, the borrow feed, and the ownership filings all tell different stories, that is not a market. that is a magic trick with a bid and ask. consensus cracks quietly. then all at once. $HUBC $LASE $HKD $GME $AMC $MULN $TRKA $FFIE $TOP $MEGL

100,000+ AI agents have registered on ERC-8004 since it hit mainnet in January. Identity: solved. Discovery: solved. Reputation: the next frontier. ERC-8004's Reputation Registry handles feedback collection. But the spec was deliberately modular — it defines a crypto-economic validation tier and leaves the staking mechanics to implementations. The identity layer is built. The economic layer is next. 🧵 1/4

Announced today at #MSBuild#: Microsoft unveiled Majorana 2, a next-generation topological quantum chip developed with the help of Microsoft Discovery’s agentic AI.

In the last 6 months at @Ahrefs, we analyzed over 1 billion data points across 14 studies. Here's what we learned about AI search optimization: 1) "Best X" blog listicles are the single most prominent content format cited by AI chatbots. They make up 43.8% of all page types cited by ChatGPT specifically. 2) 67% of ChatGPT's top 1,000 citations come from sources marketers can't influence: Wikipedia (29.7%), homepages (23.8%), app stores (6.6%). Only 32.3% are influenceable content like educational pages, reviews, news, and blog posts. 3) 28.3% of ChatGPT's most-cited pages have zero Google organic visibility. These pages get cited repeatedly by ChatGPT despite not ranking in Google at all. A completely separate discovery layer. 4) ChatGPT only cites about 50% of the URLs it retrieves. It fetches dozens of pages per query but uses half as background context without attribution. This means that being retrieved and being cited are very different things. 5) Adding schema markup had zero meaningful impact on AI citations. AI Overviews actually dipped −4.6%, while AI Mode (+2.4%) and ChatGPT (+2.2%) showed changes indistinguishable from zero. 6) YouTube mentions have the highest correlation (0.737) with AI brand visibility out of all the factors we studied (including all the conventional SEO metrics like backlinks, page count, DR, etc). This held true for both Google-owned and OpenAI products. 7) AI Overviews reduce clicks to the #1# result by 58%. That’s up from 34.5% just 10 months earlier. The trend is accelerating. 8) 99.9% of AI Overviews appear on informational intent queries. Transactional, navigational, and local searches are almost entirely AIO-free. Shopping triggers AIOs just 3.2% of the time. 9) For a given search query, Google’s AI Mode and AI Overviews reach the same conclusions 86% of the time — but cite almost entirely different sources (only 13.7% citation overlap). 10) AI Overviews change every 2.15 days on average, with 70% of content differing between consecutive observations. But semantic similarity stays at 0.95. The words, sources, and entities constantly shuffle, but the actual meaning barely moves.

Quick Thoughts #2# “Set Your Own Sails” Avoid the Safe Harbors of the Naysayers. Outliers advancing civilization take journeys of discovery; testing boundaries with faith, technology, and calculated risk. -Ships, sea monsters, demons, planes, trains, & moon landing