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๐ŸŒ๐Ÿ“ˆ Data Center Theme: The Next Big Structural Bull Run ๐Ÿš€ Since 2021, the Data Center theme has been steadily rising, marking the start of a structural bull run in this sector. ๐ŸŒŸ In this thread, weโ€™ll dive deep into evaluating the performance of data center-related stocks since 2021....

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Stocks Treasures ๐Ÿ’Ž

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130,092 views โ€ข 2 years ago โ€ขvia X (Twitter)

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Be this guy when you pull up at the pump: the ETF series of the Ninepoint Energy Fund trades under the ticker "NNRG." Disclaimer: All returns and fund details are a) based on Series F shares; b) net of fees; c) annualized if period is greater than one year; d) as at 2/28/2026. Where applicable, all figures are annualized and based on monthly returns since inception. Inception date is 4/16/2004. The rate of return is used only to illustrate the effects of the compound growth rate and is not intended to reflect future values of the investment fund or returns on investment in the investment fund. In each taxation year, the Fund will distribute to its investors a sufficient amount of the Fundโ€™s net income and net realized capital gains so that the Fund will not pay any income tax. The net income and the net realized capital gains of the Fund will be distributed annually in December. The Fund is generally exposed to the following risks: Active management risk; Concentration risk; Credit risk; Currency risk; Cybersecurity risk; Derivatives risk; Energy risk; Exchange traded funds risk; Foreign investment risk; Inflation risk; Interest rate risk; Liquidity risk; Market risk; Performance fee risk; Regulatory risk; Rule 144A and other exempted securities risk; Securities lending, repurchase and reverse repurchase transactions risk; Series risk; Short selling risk; Small capitalization natural resource company risk; Specific issuer risk; Tax risk; Absence of an active market for ETF Series risk; Halted trading of ETF Series risk; Trading price of ETF Series risk. Ninepoint Partners LP is the investment manager to a number of funds (collectively, the โ€œFundsโ€). Commissions, trailing commissions, management fees, performance fees (if any), and other expenses all may be associated with investing in the Funds. Please read the prospectus carefully before investing. The indicated rates of return for series F units of the Funds for the period ended 2/28/2026 are based on the historical annual compounded total returns including changes in unit value and reinvestment of all distributions or dividends and do not take into account sales, redemption, distribution or optional charges or income taxes payable by any securityholder that would have reduced returns. Mutual funds are not guaranteed, their values change frequently, and past performance may not be repeated. This communication does not constitute an offer to sell or solicitation to purchase securities of the Funds. The information contained herein does not constitute an offer or solicitation by anyone in the United States or in any other jurisdiction in which such an offer or solicitation is not authorized or to any person to whom it is unlawful to make such an offer or solicitation. Prospective investors who are not a resident in Canada should contact their financial advisor to determine whether securities of the Fund may be lawfully sold in their jurisdiction.
0:10

Be this guy when you pull up at the pump: the ETF series of the Ninepoint Energy Fund trades under the ticker "NNRG." Disclaimer: All returns and fund details are a) based on Series F shares; b) net of fees; c) annualized if period is greater than one year; d) as at 2/28/2026. Where applicable, all figures are annualized and based on monthly returns since inception. Inception date is 4/16/2004. The rate of return is used only to illustrate the effects of the compound growth rate and is not intended to reflect future values of the investment fund or returns on investment in the investment fund. In each taxation year, the Fund will distribute to its investors a sufficient amount of the Fundโ€™s net income and net realized capital gains so that the Fund will not pay any income tax. The net income and the net realized capital gains of the Fund will be distributed annually in December. The Fund is generally exposed to the following risks: Active management risk; Concentration risk; Credit risk; Currency risk; Cybersecurity risk; Derivatives risk; Energy risk; Exchange traded funds risk; Foreign investment risk; Inflation risk; Interest rate risk; Liquidity risk; Market risk; Performance fee risk; Regulatory risk; Rule 144A and other exempted securities risk; Securities lending, repurchase and reverse repurchase transactions risk; Series risk; Short selling risk; Small capitalization natural resource company risk; Specific issuer risk; Tax risk; Absence of an active market for ETF Series risk; Halted trading of ETF Series risk; Trading price of ETF Series risk. Ninepoint Partners LP is the investment manager to a number of funds (collectively, the โ€œFundsโ€). Commissions, trailing commissions, management fees, performance fees (if any), and other expenses all may be associated with investing in the Funds. Please read the prospectus carefully before investing. The indicated rates of return for series F units of the Funds for the period ended 2/28/2026 are based on the historical annual compounded total returns including changes in unit value and reinvestment of all distributions or dividends and do not take into account sales, redemption, distribution or optional charges or income taxes payable by any securityholder that would have reduced returns. Mutual funds are not guaranteed, their values change frequently, and past performance may not be repeated. This communication does not constitute an offer to sell or solicitation to purchase securities of the Funds. The information contained herein does not constitute an offer or solicitation by anyone in the United States or in any other jurisdiction in which such an offer or solicitation is not authorized or to any person to whom it is unlawful to make such an offer or solicitation. Prospective investors who are not a resident in Canada should contact their financial advisor to determine whether securities of the Fund may be lawfully sold in their jurisdiction.

Eric Nuttall

23,023 views โ€ข 5 months ago

Introducing Attio Objects ๐Ÿš€ โ€‹ We know how hard it is to find a CRM that fits your unique business model. โ€‹ That's why we built Attio Objects โ€“ our powerful data model with custom objects that gives you complete flexibility to structure your CRM exactly how you need it. โ€‹ Along with custom objects, we've also introduced new standard objects: โ€‹ - Workspaces and Users objects for PLG businesses. - A robust Deals object for sales-driven companies. โ€‹ This is the culmination of a 4-year effort, with 3 years of work put in even before launching Attio. โ€‹ Since day one, we've been determined to solve the fundamental problem in the CRM space: the trade-off between power and time-to-value. โ€‹ If you wanted power and flexibility, your CRM would take forever to build and not work well with your stack. โ€‹ If you wanted speed, you'd need to use highly opinionated, inflexible software that doesn't really work for your business. โ€‹ That ends today. With Attio, you no longer have to compromise. Build your CRM your way, fast. Iterate as you grow. โ€‹ High-growth startups like Replicate, , and Modal and more are already using Attio's object architecture to perfectly match their businesses and accelerate their growth. โ€‹ To get all the details, check out our blog post ๐Ÿ‘‡ โ€‹
0:12

Introducing Attio Objects ๐Ÿš€ โ€‹ We know how hard it is to find a CRM that fits your unique business model. โ€‹ That's why we built Attio Objects โ€“ our powerful data model with custom objects that gives you complete flexibility to structure your CRM exactly how you need it. โ€‹ Along with custom objects, we've also introduced new standard objects: โ€‹ - Workspaces and Users objects for PLG businesses. - A robust Deals object for sales-driven companies. โ€‹ This is the culmination of a 4-year effort, with 3 years of work put in even before launching Attio. โ€‹ Since day one, we've been determined to solve the fundamental problem in the CRM space: the trade-off between power and time-to-value. โ€‹ If you wanted power and flexibility, your CRM would take forever to build and not work well with your stack. โ€‹ If you wanted speed, you'd need to use highly opinionated, inflexible software that doesn't really work for your business. โ€‹ That ends today. With Attio, you no longer have to compromise. Build your CRM your way, fast. Iterate as you grow. โ€‹ High-growth startups like Replicate, , and Modal and more are already using Attio's object architecture to perfectly match their businesses and accelerate their growth. โ€‹ To get all the details, check out our blog post ๐Ÿ‘‡ โ€‹

Attio

26,821 views โ€ข 2 years ago

$IREN "we haven't disclosed the specific amount of GPUs" 1. ๐Ÿคฎ reminds me of $NBIS 2. Setting a terrible precedent here for future deals 3. Making it purposely difficult, to not let analysts properly value your 2027 revenue 4. Increasing the polarized view on IREN by the market However: "approximately 60MW of air-cooled Blackwells" 1. You typically don't talk about gross capacity in a deployment like this 2. If it would be gross capacity, the GPU hour rate at IT level would be crazy high (at PUE 1.2, $680m / 50 = 13.6m/MW) 3. At 60MW IT load, and ~14kW draw at DGX server level, we can get to ~4,286 DGX systems with 8 GPUs per. 4. Based on this we can conclude that 60MW of IT load can run approximately 34k DGX B300. 5. 34k DGX B300 at $680m/yr, would represent a GPU hour price of $2.28 Now this is the problem with not disclosing your GPU quantity. You purposely make your business model look bad, because by approach, you get to a GPU hour price that would imply a payback period of 4 years, where only the last year of the contract is 100% margin. But of course, we can also take "the glass is half full" approach. IREN has ordered 50K B300s from Dell. They have 2 purchase orders for this, 1 between Dell Canada and IE CA Leasing Ltd for 4 phases, and 1 between Dell USA and IE US Hardware 1 Inc (amended from IE US Hardware 4 Inc on April 27, 2026). The order for Canada is divided in 4 phases, and are going to Mackenzie for 80MW of gross capacity, which happens to be 4 buildings of 20MW. The order for Childress is divided in 2 phases, and are going to DC35 and DC36, (as depicted in the earnings presentation) and those are 50MW gross. The purchase price of the order for Childress was $1.2B, and for Canada it was $2.3B If we go with 50,000 B300s for a total of $3.5B then $1.2 would represent 34.285% of the 50,000 GPUs, or 17,140 B300s rounded down. For this calculation I will consider that $IREN will deploy 17,140 GPUs in 50MW gross capacity in DC35 and DC36 of block 3 in Childress.. That would imply at 1.2 PUE, IREN can run 17,140 B300s in 41.67MW IT load. Now by that ratio, they can run 24,680 GPUs in 60MW IT load โ€” a massive difference with 34k units through the Nvidia DGX reference calculation. If common sense is applied, you can still get to 2 completely different outcomes, that show a difference of more than 9k GPUs. The GPU hour rate at 24.68k GPUs would be $3.145 per B300, as MASSIVE difference from the earlier calculated $2.28. Sure, the DGX system may be a factor here. And I'm sure that the reality is somewhere in the middle. But I personally hate this as an investor, to be unable to calculate profitability on unit economic basis. After all, contracts are signed on a $/GPU hour basis. Why hide this from your investors? Not being able to calculate payback periods, unable to calculate ROIC. And most importantly, we cannot properly assess the $NVDA deal on a contract basis. I really hope the payback period of this contract is not 4 years. I want the glass to be half full, but by starting to censor the purchases, IREN is taking a step in the wrong direction. Not a fan of this.
0:14

$IREN "we haven't disclosed the specific amount of GPUs" 1. ๐Ÿคฎ reminds me of $NBIS 2. Setting a terrible precedent here for future deals 3. Making it purposely difficult, to not let analysts properly value your 2027 revenue 4. Increasing the polarized view on IREN by the market However: "approximately 60MW of air-cooled Blackwells" 1. You typically don't talk about gross capacity in a deployment like this 2. If it would be gross capacity, the GPU hour rate at IT level would be crazy high (at PUE 1.2, $680m / 50 = 13.6m/MW) 3. At 60MW IT load, and ~14kW draw at DGX server level, we can get to ~4,286 DGX systems with 8 GPUs per. 4. Based on this we can conclude that 60MW of IT load can run approximately 34k DGX B300. 5. 34k DGX B300 at $680m/yr, would represent a GPU hour price of $2.28 Now this is the problem with not disclosing your GPU quantity. You purposely make your business model look bad, because by approach, you get to a GPU hour price that would imply a payback period of 4 years, where only the last year of the contract is 100% margin. But of course, we can also take "the glass is half full" approach. IREN has ordered 50K B300s from Dell. They have 2 purchase orders for this, 1 between Dell Canada and IE CA Leasing Ltd for 4 phases, and 1 between Dell USA and IE US Hardware 1 Inc (amended from IE US Hardware 4 Inc on April 27, 2026). The order for Canada is divided in 4 phases, and are going to Mackenzie for 80MW of gross capacity, which happens to be 4 buildings of 20MW. The order for Childress is divided in 2 phases, and are going to DC35 and DC36, (as depicted in the earnings presentation) and those are 50MW gross. The purchase price of the order for Childress was $1.2B, and for Canada it was $2.3B If we go with 50,000 B300s for a total of $3.5B then $1.2 would represent 34.285% of the 50,000 GPUs, or 17,140 B300s rounded down. For this calculation I will consider that $IREN will deploy 17,140 GPUs in 50MW gross capacity in DC35 and DC36 of block 3 in Childress.. That would imply at 1.2 PUE, IREN can run 17,140 B300s in 41.67MW IT load. Now by that ratio, they can run 24,680 GPUs in 60MW IT load โ€” a massive difference with 34k units through the Nvidia DGX reference calculation. If common sense is applied, you can still get to 2 completely different outcomes, that show a difference of more than 9k GPUs. The GPU hour rate at 24.68k GPUs would be $3.145 per B300, as MASSIVE difference from the earlier calculated $2.28. Sure, the DGX system may be a factor here. And I'm sure that the reality is somewhere in the middle. But I personally hate this as an investor, to be unable to calculate profitability on unit economic basis. After all, contracts are signed on a $/GPU hour basis. Why hide this from your investors? Not being able to calculate payback periods, unable to calculate ROIC. And most importantly, we cannot properly assess the $NVDA deal on a contract basis. I really hope the payback period of this contract is not 4 years. I want the glass to be half full, but by starting to censor the purchases, IREN is taking a step in the wrong direction. Not a fan of this.

Frans Bakker

148,167 views โ€ข 4 months ago

Why is the market selling off today? (Save this). Today's selloff is bigger and messier than what we've seen lately, KOSPI crashed almost 11% overnight, chip stocks are getting hit everywhere and it's not because AI demand suddenly disappeared but rather a bunch of fears piling up at once that I think are getting way overplayed. Start with the AI ROI thing since it's been building since last week's earnings. Tesla and Alphabet both kicked off earnings season with big capex numbers and negative free cash flow and even with strong revenue growth both stocks got hammered. That set the tone of we don't care if capex is growing, show us the cash, and it's carrying into this week with Amazon, Meta, Microsoft and Apple all reporting, which isn't helping the nerves. But look at what actually happened with Alphabet, cloud revenue grew 81%, total sales grew 24%, that's not a company torching cash on nothing, that's a company scaling into demand it can barely keep up with. Negative free cash flow during a capex supercycle is normal, you build the data centers and buy the GPUs before the revenue shows up. Judging a buildout phase like it's a mature business is the wrong lens, and that's basically what happened last week and what's still happening today. Then there's China chip competition, which is honestly the biggest accelerant of today's move. CXMT's IPO shares rose over 466% and combined with headlines about China's homegrown DUV lithography progress, it triggered a brutal rout in Korean chipmakers, Samsung fell as much as 13%, SK Hynix over 14%, Kioxia nearly 18%, dragging the KOSPI down almost 11% and into an eighth circuit breaker this year. That spilled straight into Nvidia, ASML, Sandisk and Seagate here in the US, with Nasdaq 100 futures down over 1% before the bell. But here's the thing, five DUV units this year against ASML's 131 a year, running performance closer to a 2008 design, is not an equipment moat collapsing, it's a headline that's gotten repeated so much this week it's built its own gravity. These tools are aimed at mature nodes like automotive and industrial chips, not the leading edge logic or HBM that actually drives the AI trade, so the read through to Nvidia, ASML or Applied Materials earnings power is basically nothing. The CXMT pop is scarcity, people bidding up the only pure play China memory stock they can get their hands on, not a sign that oversupply is coming. And Korean chipmakers dropping 12 to 14% in one session looks a lot more like leverage unwinding after a parabolic run than a real rethink of Samsung or SK Hynix's HBM backlog, which both companies have already said is basically sold out for the year. Geopolitics is actually the one spot where the news should be helping, not hurting. US and Iran hostilities seem to have paused for now, which should be easing oil driven inflation fears. If this were purely a geopolitical panic you'd expect oil spiking and yields following, but that's not what's happening, this move is chip specific and Asia led, not an oil shock like a week or two ago. Rates and the Fed are still in play, decision lands tomorrow, and people are nervous about higher for longer language even though a hike isn't the base case. On top of that, reports that Nvidia's five year credit default swap costs jumped by a record margin are getting read by some as a credit risk signal tied to all this AI debt spending. But a one day CDS spike during a market wide panic is a fear indicator, not proof of an actual credit problem, spreads on every big name widen fast when volatility spikes, Nvidia's balance sheet hasn't changed in the last 24 hours. Fed futures are pricing in essentially no chance of a surprise hike tomorrow, this is a hold meeting, and I'd bet the hawkish jitters fade fast once Warsh actually talks. Then there's the bigger liquidity and positioning story, which I think explains more of today's violence than any single headline. KOSPI is down nearly 29% for the month now, steeper than 2008, mostly because Korean chipmakers had turned into crypto like gambling tokens, running way too far, too fast on retail leverage and margin debt, and now unwinding just as hard on the way down. That's positioning excess getting flushed, not HBM demand disappearing or hyperscalers pulling back. Nothing in the actual order books, capex guidance or HBM contract pricing has changed, DRAM and NAND prices are still climbing quarter over quarter, nobody's canceled a GPU order or a data center project. What changed is how much leverage was sitting on top of this trade, and that's getting ripped out in one ugly session. This is one of the scariest looking selloffs we've had all year but scary looking and actually broken are two different things. Every headline driving today, the China lithography story, the CXMT IPO, the Nvidia CDS spike, the Fed jitters, looks a lot less scary once you dig into the actual numbers, and none of it touches real AI infrastructure demand or supply. This looks like leverage and sentiment unwinding, not the long term thesis breaking. If you want to see exactly what I'm buying into this, join Milk Road Pro for just $1 using the link below.
0:11

Why is the market selling off today? (Save this). Today's selloff is bigger and messier than what we've seen lately, KOSPI crashed almost 11% overnight, chip stocks are getting hit everywhere and it's not because AI demand suddenly disappeared but rather a bunch of fears piling up at once that I think are getting way overplayed. Start with the AI ROI thing since it's been building since last week's earnings. Tesla and Alphabet both kicked off earnings season with big capex numbers and negative free cash flow and even with strong revenue growth both stocks got hammered. That set the tone of we don't care if capex is growing, show us the cash, and it's carrying into this week with Amazon, Meta, Microsoft and Apple all reporting, which isn't helping the nerves. But look at what actually happened with Alphabet, cloud revenue grew 81%, total sales grew 24%, that's not a company torching cash on nothing, that's a company scaling into demand it can barely keep up with. Negative free cash flow during a capex supercycle is normal, you build the data centers and buy the GPUs before the revenue shows up. Judging a buildout phase like it's a mature business is the wrong lens, and that's basically what happened last week and what's still happening today. Then there's China chip competition, which is honestly the biggest accelerant of today's move. CXMT's IPO shares rose over 466% and combined with headlines about China's homegrown DUV lithography progress, it triggered a brutal rout in Korean chipmakers, Samsung fell as much as 13%, SK Hynix over 14%, Kioxia nearly 18%, dragging the KOSPI down almost 11% and into an eighth circuit breaker this year. That spilled straight into Nvidia, ASML, Sandisk and Seagate here in the US, with Nasdaq 100 futures down over 1% before the bell. But here's the thing, five DUV units this year against ASML's 131 a year, running performance closer to a 2008 design, is not an equipment moat collapsing, it's a headline that's gotten repeated so much this week it's built its own gravity. These tools are aimed at mature nodes like automotive and industrial chips, not the leading edge logic or HBM that actually drives the AI trade, so the read through to Nvidia, ASML or Applied Materials earnings power is basically nothing. The CXMT pop is scarcity, people bidding up the only pure play China memory stock they can get their hands on, not a sign that oversupply is coming. And Korean chipmakers dropping 12 to 14% in one session looks a lot more like leverage unwinding after a parabolic run than a real rethink of Samsung or SK Hynix's HBM backlog, which both companies have already said is basically sold out for the year. Geopolitics is actually the one spot where the news should be helping, not hurting. US and Iran hostilities seem to have paused for now, which should be easing oil driven inflation fears. If this were purely a geopolitical panic you'd expect oil spiking and yields following, but that's not what's happening, this move is chip specific and Asia led, not an oil shock like a week or two ago. Rates and the Fed are still in play, decision lands tomorrow, and people are nervous about higher for longer language even though a hike isn't the base case. On top of that, reports that Nvidia's five year credit default swap costs jumped by a record margin are getting read by some as a credit risk signal tied to all this AI debt spending. But a one day CDS spike during a market wide panic is a fear indicator, not proof of an actual credit problem, spreads on every big name widen fast when volatility spikes, Nvidia's balance sheet hasn't changed in the last 24 hours. Fed futures are pricing in essentially no chance of a surprise hike tomorrow, this is a hold meeting, and I'd bet the hawkish jitters fade fast once Warsh actually talks. Then there's the bigger liquidity and positioning story, which I think explains more of today's violence than any single headline. KOSPI is down nearly 29% for the month now, steeper than 2008, mostly because Korean chipmakers had turned into crypto like gambling tokens, running way too far, too fast on retail leverage and margin debt, and now unwinding just as hard on the way down. That's positioning excess getting flushed, not HBM demand disappearing or hyperscalers pulling back. Nothing in the actual order books, capex guidance or HBM contract pricing has changed, DRAM and NAND prices are still climbing quarter over quarter, nobody's canceled a GPU order or a data center project. What changed is how much leverage was sitting on top of this trade, and that's getting ripped out in one ugly session. This is one of the scariest looking selloffs we've had all year but scary looking and actually broken are two different things. Every headline driving today, the China lithography story, the CXMT IPO, the Nvidia CDS spike, the Fed jitters, looks a lot less scary once you dig into the actual numbers, and none of it touches real AI infrastructure demand or supply. This looks like leverage and sentiment unwinding, not the long term thesis breaking. If you want to see exactly what I'm buying into this, join Milk Road Pro for just $1 using the link below.

Melvin

57,924 views โ€ข 1 month ago

FACT CHECK: Here at the first trial, the Commonwealthโ€™s own expert witness, Ian Whiffin, confirms the necessity & importance of hash values for the sake of โ€œhash verificationโ€, a necessary step in authenticating the data & being able to verify that it hasnโ€™t been altered or manipulated. In fact, Whiffin actually gives this testimony in response to a question about when the data have been altered or tampered with, if thereโ€™s a way for the forensic examiner (him) to detect it, and/or verify its authenticity and integrity. Remarkably, despite the DFIR industry standard methodology of hash verifying a digital forensic extraction, like that of Jen McCabeโ€™s iPhone, prior to conducting any analysis on it with any forensic tools, Ian Whiffin testified that notably, for his work on this case, not only did he abandon this standard methodology, but he also admitted that the forensic extraction of Jen McCabeโ€™s iPhone, which he received from the Commonwealth, was stripped of its hash value. Perhaps more remarkably, this stunning fact apparently didnโ€™t raise any red flags for Ian Whiffin when conducting his analysis in this case, where heโ€™s providing testimony in a murder trial. One must ask themselves why that is? However, defense expert Richard Green, in his affidavit, states that: โ€œTypically, forensic examiners are provided with the raw image file and the associated: hash value documentation together. After validating the hash value, I would then accept that the data has not been manipulated. Here, however, the hash documentation was not provided with the raw image of the cell phone. Instead, it was withheld from the defense. As a forensic examiner having received hundreds of imaged phones over the course of my decades-long career, this was unprecedented.โ€ Contrary to Mr. Whiffinโ€™s approach, upon initially receiving a purported extraction of Jen McCabeโ€™s iPhone without a hash value to authenticate and verify the integrity of the data, Mr. Green promptly requested the hash value and corresponding GrayKey supplemental files from the Commonwealth in order to conduct his analysis. After making this demand, and when the Commonwealth had to produce the hash verification data for Jen McCabeโ€™s iPhone, remarkably, the Commonwealth also producedโ€”for the first time, and over a year later on February 8, 2023โ€”the Full File System Extraction of Jen McCabeโ€™s iPhone (see โ€œNotice of Discovery VIII,โ€ attached). Unlike the initial purported โ€œextractionโ€ produced by Trooper Nicholas Guarino, this one contained Jen McCabeโ€™s incriminating 2:27am Google search and all of the manual deletions of her communications, among other incriminating evidence, surrounding the murder of Officer John Oโ€™Keefe (see defenseโ€™s Rule 17 motion from April 12, 2023, attached). So, this begs the question: If Ian Whiffin knows the importance of hash verification in validating the authenticity of the data heโ€™s working with in the first place, then why didnโ€™t he take the same actions as defense expert Richard Green did to responsibly and reliably provide analysis in this case? If Whiffin ought to be deemed an expert, qualified to provide analysis and testimony at trial, then why did he abandon his industryโ€™s standard methodology of hash verification in this case? Even Cellebrite knows this is a no-no! What say you? #KarenReadTrial #Cellebrite #DFIR
0:06

FACT CHECK: Here at the first trial, the Commonwealthโ€™s own expert witness, Ian Whiffin, confirms the necessity & importance of hash values for the sake of โ€œhash verificationโ€, a necessary step in authenticating the data & being able to verify that it hasnโ€™t been altered or manipulated. In fact, Whiffin actually gives this testimony in response to a question about when the data have been altered or tampered with, if thereโ€™s a way for the forensic examiner (him) to detect it, and/or verify its authenticity and integrity. Remarkably, despite the DFIR industry standard methodology of hash verifying a digital forensic extraction, like that of Jen McCabeโ€™s iPhone, prior to conducting any analysis on it with any forensic tools, Ian Whiffin testified that notably, for his work on this case, not only did he abandon this standard methodology, but he also admitted that the forensic extraction of Jen McCabeโ€™s iPhone, which he received from the Commonwealth, was stripped of its hash value. Perhaps more remarkably, this stunning fact apparently didnโ€™t raise any red flags for Ian Whiffin when conducting his analysis in this case, where heโ€™s providing testimony in a murder trial. One must ask themselves why that is? However, defense expert Richard Green, in his affidavit, states that: โ€œTypically, forensic examiners are provided with the raw image file and the associated: hash value documentation together. After validating the hash value, I would then accept that the data has not been manipulated. Here, however, the hash documentation was not provided with the raw image of the cell phone. Instead, it was withheld from the defense. As a forensic examiner having received hundreds of imaged phones over the course of my decades-long career, this was unprecedented.โ€ Contrary to Mr. Whiffinโ€™s approach, upon initially receiving a purported extraction of Jen McCabeโ€™s iPhone without a hash value to authenticate and verify the integrity of the data, Mr. Green promptly requested the hash value and corresponding GrayKey supplemental files from the Commonwealth in order to conduct his analysis. After making this demand, and when the Commonwealth had to produce the hash verification data for Jen McCabeโ€™s iPhone, remarkably, the Commonwealth also producedโ€”for the first time, and over a year later on February 8, 2023โ€”the Full File System Extraction of Jen McCabeโ€™s iPhone (see โ€œNotice of Discovery VIII,โ€ attached). Unlike the initial purported โ€œextractionโ€ produced by Trooper Nicholas Guarino, this one contained Jen McCabeโ€™s incriminating 2:27am Google search and all of the manual deletions of her communications, among other incriminating evidence, surrounding the murder of Officer John Oโ€™Keefe (see defenseโ€™s Rule 17 motion from April 12, 2023, attached). So, this begs the question: If Ian Whiffin knows the importance of hash verification in validating the authenticity of the data heโ€™s working with in the first place, then why didnโ€™t he take the same actions as defense expert Richard Green did to responsibly and reliably provide analysis in this case? If Whiffin ought to be deemed an expert, qualified to provide analysis and testimony at trial, then why did he abandon his industryโ€™s standard methodology of hash verification in this case? Even Cellebrite knows this is a no-no! What say you? #KarenReadTrial #Cellebrite #DFIR

Olivia

20,211 views โ€ข 1 year ago

Brewing a Better Bite of Meat Hereโ€™s why we led the Series A of The Better Meat Co., announced today. I am a meat eater, but I know that eventually, we won't slaughter animals for meat. Although we believe this is inevitable, on Earth and Mars, it takes concerted effort to get us there. And as we saw with electric cars, you have to have a better product to catalyze a change. Saving the world is the byproduct. After investing in some of the pioneers of cellular ag and precision fermentation, we pondered what problem remained unsolved by the mainstream approaches to slaughter-free meat and began a quest for the best cost economics and speed of scaling. For cellular ag and plant-based approaches, cost has been their biggest challenge, and the meat market is highly price elastic. We did a thought experiment: given all of the approaches to alt-protein out there, which will be the lowest cost 50 years from now? We assumed all R&D efforts reach their ultimate end points by then. I think we found the winner: Better Meat goes from seed to harvest in under 17 hours! No plant or animal can compete with that growth rate. The key: growth from cell expansion instead of cell division, part of the magic of the kingdom of fungi. And they have mastered continuous production off simple sugar feedstocks with no waste stream. The only downstream processing is some dehydration. At their current research scale facility, they already beat beef on cost, and soon chicken. Some of the key drivers from their patented process: fastest growth cycle of any organism, continuous production, minimal downstream processing (unlike plant protein isolates, for example, where most of the plant biomass is byproduct), and itโ€™s a nutritious whole food. Itโ€™s also shelf stable at room temperature for easy shipping. So, it should scale more rapidly and cost-effectively than other approaches can ever achieve. Oh, and it is delicious and tastes like meat, even better than pure meat in some blended product taste tests (think hamburger or sausage blends). They are a B2B ingredient supplier, and the first to get FDA and USDA approval for blended meat products. The Series A will allow them to scale to tens of millions of pounds of annual production for a number of large food companies. Company: Todayโ€™s funding news: โ€ข โ€ข
0:10

Brewing a Better Bite of Meat Hereโ€™s why we led the Series A of The Better Meat Co., announced today. I am a meat eater, but I know that eventually, we won't slaughter animals for meat. Although we believe this is inevitable, on Earth and Mars, it takes concerted effort to get us there. And as we saw with electric cars, you have to have a better product to catalyze a change. Saving the world is the byproduct. After investing in some of the pioneers of cellular ag and precision fermentation, we pondered what problem remained unsolved by the mainstream approaches to slaughter-free meat and began a quest for the best cost economics and speed of scaling. For cellular ag and plant-based approaches, cost has been their biggest challenge, and the meat market is highly price elastic. We did a thought experiment: given all of the approaches to alt-protein out there, which will be the lowest cost 50 years from now? We assumed all R&D efforts reach their ultimate end points by then. I think we found the winner: Better Meat goes from seed to harvest in under 17 hours! No plant or animal can compete with that growth rate. The key: growth from cell expansion instead of cell division, part of the magic of the kingdom of fungi. And they have mastered continuous production off simple sugar feedstocks with no waste stream. The only downstream processing is some dehydration. At their current research scale facility, they already beat beef on cost, and soon chicken. Some of the key drivers from their patented process: fastest growth cycle of any organism, continuous production, minimal downstream processing (unlike plant protein isolates, for example, where most of the plant biomass is byproduct), and itโ€™s a nutritious whole food. Itโ€™s also shelf stable at room temperature for easy shipping. So, it should scale more rapidly and cost-effectively than other approaches can ever achieve. Oh, and it is delicious and tastes like meat, even better than pure meat in some blended product taste tests (think hamburger or sausage blends). They are a B2B ingredient supplier, and the first to get FDA and USDA approval for blended meat products. The Series A will allow them to scale to tens of millions of pounds of annual production for a number of large food companies. Company: Todayโ€™s funding news: โ€ข โ€ข

Steve Jurvetson

17,016 views โ€ข 1 year ago

**Doris Yin Speech at China Guizhou Zunyi GCV Barter Conference** Hello to the community leaders, GCV ambassadors, merchants, and pioneers of GCV Guizhou in China! Today is January 12, 2025, marking the first GCV Barter Conference in China in New Year and the 13th Barter Conference overall. I would like to extend my sincere gratitude to the organizers of this conference, the Guizhou Zunyi GCV Community, and the co-organizers, Barter Huishang (Guizhou) Digital Economy Industry Group Co., Ltd. I also want to acknowledge the following GCV ambassadors for their active dedication and contributions to this conference: **GCV Ambassador of China:** - Yang Zhizhong - Cai Zaiqiao **Ambassadors of Guizhou Province GCV:** - Wang Shiqiong - Cai Weisheng - Guo Jiaqing **Zunyi GCV Ambassadors:** - Wang Jianbo - Luo Nanlu **GCV ambassadors at the district and county level in Zunyi City** Additionally, I would like to express my heartfelt thanks to our numerous GCV merchants and sponsors. Without your support, we would not have been able to hold such a grand and large-scale event. Today's gathering in Zunyi, a sacred site of the revolution, reminds me of the Red Army's 25,000-mile Long March. Their perseverance and sacrifice continue to inspire us. The Zunyi Conference took place from January 15 to 17, 1935, and exactly 90 years later, we are gathered here today. The defining characteristics of the Zunyi Conference included the commitment to uphold the truth, correct mistakes, establish the correct leadership of the Party Central Committee, and creatively develop and implement strategies that fit the nature of the Chinese revolution. Today, our Zunyi Conference will also be recorded in the history of blockchain, as every effort you have put in has contributed to building a strong network ecosystem. Our partial fiat and partial distribution policy serves as a solution for the rapid development of the ecosystem during the closed mainnet of the Pi Network. As we all know, the first quarter of this year will bring about the successful mainnet launch of Pi Network. After six long years of challenges and perseverance, all of our pioneers will have the opportunity to witness this significant historical moment. What an exciting and proud day this will be! It has not been easy for everyone to persist through these six years; it requires great blessings, unwavering faith, and the courage to overcome difficulties. Today, our pioneers in Zunyi, Guizhou Province, gathering for this GCV barter conference holds great significance. I see that ten companies are providing products for barter, with nine companies, including Guizhou Meitan County Daoqin Hospital and Barter Huishang (Guizhou) Digital Economy Industry Group Co., Ltd., sponsoring this event. Once again, I extend my heartfelt thanks to all of you. The GCV Barter Conference serves multiple purposes. It is not only about creating GCV data or demonstrating the strength of our China region to CT, but also about showing how closely we align with their vision and mission. Additionally, it provides robust evidence for a substantial number of KYC and migration initiatives in China. More importantly, what we do today aims to boost Chinaโ€™s future economic development. Once the main network of the Pi Network is launched, we anticipate a significant demand for Chinese products from numerous international pioneers, which will in turn generate a large volume of export orders. At the same time, there will be international merchants looking to export their products to China. Once OM, import and export transactions will be conducted using the new currency, facilitating the vision of a stable currency and enabling seamless and reliable exchanges with fiat currency. Therefore, the merchants who engage now will have the advantage of being early adopters. The Pi Network offers a partner program and a MapofPi program. To participate in the partnership, businesses are required to have a company website. We invite businesses with websites to join us. However, if you do not have a company website, you can still join the Mapofpi program, which encompasses a wide range of industries, allowing participation from both large companies and small traders. Registration for the Mapofpi does not require a business license or website; various entities including shops, hospitals, schools, hair salons, accounting firms, law firms, restaurants, and hotels are welcome to register. Please select an active merchant and support GCV at $314,159. Prior to the OM launch, it is advisable to use partial fiat currency and partial Pi to ensure that merchants can cover their costs and fulfill their tax obligations. Recently, on January 9, we established the China GCV Industry Chain Alliance, which aims to create an industrial chain that facilitates the circulation of Pi among merchants, thereby reducing the burden of exchanging fiat currency after OM. During the enclosed mainnet, you can assist merchants in registering as Pi Network Partners and Mapofpi . Ms. Lumari is our Global GCV CT executive director and her goal is to have 200,000 registered Mapofpi merchants worldwide. My personal target is to reach 100,000 registered merchants in China alone. This goal is achievable given the over 58 million enterprises and more than 20 million pioneers in China. If we can effectively convey that Pi Network WEB 3.0 blockchain technology will significantly enhance human productivity and that the business opportunities from accepting partial Pi and partial FIAT during the 60 days before OM will present numerous benefits and minimal risks to merchants, then it is likely that no merchant will be unfavorably surprised by the initiative. This strategy offers a multitude of advantages with virtually no downsides. Furthermore, it benefits pioneers by allowing them to transfer purchasing power to the community and minimize fiat currency expenses in their daily life. Consequently, the GCV data we generate will significantly benefit the Chinese pioneers, as a large number of registered merchants can transform the China region from a high-risk area to a safe zone. Not only can this region be promoted to a VIP area, which would enjoy expedited KYC and mapping processes, but it will also allow pioneers and merchants to thrive together in our ecosystem. This collaboration will enhance the prosperity of our country and empower the China region to contribute to the welfare of communities worldwide. Once OM, it will play a crucial role in the economic development of both China and the world. If you pay attention to our migrartion speed, you might have noticed that it has slowed down recently. From December 17th to around the 30th, the migrating speed was over 50,000 to 100,000 per day, but now it has dropped to just over 10,000. What is the reason for this decline? If it was previously possible to migrate over 100,000 per day, why has it changed? The CT has stated that they will OM until the first quarter of this year to bring the migratiion in line with KYC amounts. However, if it's technically feasible to achieve a higher migration speed, why isnโ€™t it being done? The answer is quite simple: it depends on what everyone does with the Pi after such large migration numbers. If pioneers rush to buy and sell, hold onto their Pi coins, or trade at low value, it will impact the speed and efficiency of the next migration in these regions. This principle is not only theoretically valid but has proven true in practice. For instance, countries like the Philippines, Indonesia, and Malaysia have a solid educational foundation in GCV. Most pioneers there are highly aware of the risks involved in participating in the black market, which allows them to generate a substantial amount of GCV data. As a result, their migration speed is notably fast, and there are many large wallet migrated. To help the CT regain momentum, we all need to cooperate. Engage with the migrated Pi and participate in the GCV barter ecosystem. Be cautious of individuals who aim to deceive you for personal gain; devaluing the Pi often serves as a tactic to exchange something small for your valuable treasure. It's crucial to educate pioneers about the true value of what they hold and encourage them to avoid dishonest practices. I urge everyone to actively participate in partial Pi and partial FIAT barter. The more GCV data we generate, the more secure our wallets will be. Therefore, it's important for everyone to read and share the Pioneer Handbook I wrote which has been translated into 30 languages to raise awareness among pioneers. By learning from the Pioneer Handbook and participating in GCV bartering, we can improve China's migration efforts and foster ecological development. This stability can ensure that the value of our Pi endures for future generations, rather than becoming worthless in a few years. Wouldn't that be something we want to preserve for our children and grandchildren? Today's message is lengthy but very important, and I hope you take the time to understand it. I wish our Guizhou Zunyi Conference great success! Thank you to all GCV Ambassadors, Merchants, and Pioneers for your incredible support! Your efforts today are planting the seeds for a prosperous future, and I hope you find safety and fulfillment in the days to come. May your wishes come true! Wishing you health and happiness! Letโ€™s work together to create a better future! I also hope you all have a joyful Chinese New Year! Doris Yin ๐Ÿชท๐Ÿชท๐Ÿชท Founder, Global GCV Movement January 12, 2025
0:14

**Doris Yin Speech at China Guizhou Zunyi GCV Barter Conference** Hello to the community leaders, GCV ambassadors, merchants, and pioneers of GCV Guizhou in China! Today is January 12, 2025, marking the first GCV Barter Conference in China in New Year and the 13th Barter Conference overall. I would like to extend my sincere gratitude to the organizers of this conference, the Guizhou Zunyi GCV Community, and the co-organizers, Barter Huishang (Guizhou) Digital Economy Industry Group Co., Ltd. I also want to acknowledge the following GCV ambassadors for their active dedication and contributions to this conference: **GCV Ambassador of China:** - Yang Zhizhong - Cai Zaiqiao **Ambassadors of Guizhou Province GCV:** - Wang Shiqiong - Cai Weisheng - Guo Jiaqing **Zunyi GCV Ambassadors:** - Wang Jianbo - Luo Nanlu **GCV ambassadors at the district and county level in Zunyi City** Additionally, I would like to express my heartfelt thanks to our numerous GCV merchants and sponsors. Without your support, we would not have been able to hold such a grand and large-scale event. Today's gathering in Zunyi, a sacred site of the revolution, reminds me of the Red Army's 25,000-mile Long March. Their perseverance and sacrifice continue to inspire us. The Zunyi Conference took place from January 15 to 17, 1935, and exactly 90 years later, we are gathered here today. The defining characteristics of the Zunyi Conference included the commitment to uphold the truth, correct mistakes, establish the correct leadership of the Party Central Committee, and creatively develop and implement strategies that fit the nature of the Chinese revolution. Today, our Zunyi Conference will also be recorded in the history of blockchain, as every effort you have put in has contributed to building a strong network ecosystem. Our partial fiat and partial distribution policy serves as a solution for the rapid development of the ecosystem during the closed mainnet of the Pi Network. As we all know, the first quarter of this year will bring about the successful mainnet launch of Pi Network. After six long years of challenges and perseverance, all of our pioneers will have the opportunity to witness this significant historical moment. What an exciting and proud day this will be! It has not been easy for everyone to persist through these six years; it requires great blessings, unwavering faith, and the courage to overcome difficulties. Today, our pioneers in Zunyi, Guizhou Province, gathering for this GCV barter conference holds great significance. I see that ten companies are providing products for barter, with nine companies, including Guizhou Meitan County Daoqin Hospital and Barter Huishang (Guizhou) Digital Economy Industry Group Co., Ltd., sponsoring this event. Once again, I extend my heartfelt thanks to all of you. The GCV Barter Conference serves multiple purposes. It is not only about creating GCV data or demonstrating the strength of our China region to CT, but also about showing how closely we align with their vision and mission. Additionally, it provides robust evidence for a substantial number of KYC and migration initiatives in China. More importantly, what we do today aims to boost Chinaโ€™s future economic development. Once the main network of the Pi Network is launched, we anticipate a significant demand for Chinese products from numerous international pioneers, which will in turn generate a large volume of export orders. At the same time, there will be international merchants looking to export their products to China. Once OM, import and export transactions will be conducted using the new currency, facilitating the vision of a stable currency and enabling seamless and reliable exchanges with fiat currency. Therefore, the merchants who engage now will have the advantage of being early adopters. The Pi Network offers a partner program and a MapofPi program. To participate in the partnership, businesses are required to have a company website. We invite businesses with websites to join us. However, if you do not have a company website, you can still join the Mapofpi program, which encompasses a wide range of industries, allowing participation from both large companies and small traders. Registration for the Mapofpi does not require a business license or website; various entities including shops, hospitals, schools, hair salons, accounting firms, law firms, restaurants, and hotels are welcome to register. Please select an active merchant and support GCV at $314,159. Prior to the OM launch, it is advisable to use partial fiat currency and partial Pi to ensure that merchants can cover their costs and fulfill their tax obligations. Recently, on January 9, we established the China GCV Industry Chain Alliance, which aims to create an industrial chain that facilitates the circulation of Pi among merchants, thereby reducing the burden of exchanging fiat currency after OM. During the enclosed mainnet, you can assist merchants in registering as Pi Network Partners and Mapofpi . Ms. Lumari is our Global GCV CT executive director and her goal is to have 200,000 registered Mapofpi merchants worldwide. My personal target is to reach 100,000 registered merchants in China alone. This goal is achievable given the over 58 million enterprises and more than 20 million pioneers in China. If we can effectively convey that Pi Network WEB 3.0 blockchain technology will significantly enhance human productivity and that the business opportunities from accepting partial Pi and partial FIAT during the 60 days before OM will present numerous benefits and minimal risks to merchants, then it is likely that no merchant will be unfavorably surprised by the initiative. This strategy offers a multitude of advantages with virtually no downsides. Furthermore, it benefits pioneers by allowing them to transfer purchasing power to the community and minimize fiat currency expenses in their daily life. Consequently, the GCV data we generate will significantly benefit the Chinese pioneers, as a large number of registered merchants can transform the China region from a high-risk area to a safe zone. Not only can this region be promoted to a VIP area, which would enjoy expedited KYC and mapping processes, but it will also allow pioneers and merchants to thrive together in our ecosystem. This collaboration will enhance the prosperity of our country and empower the China region to contribute to the welfare of communities worldwide. Once OM, it will play a crucial role in the economic development of both China and the world. If you pay attention to our migrartion speed, you might have noticed that it has slowed down recently. From December 17th to around the 30th, the migrating speed was over 50,000 to 100,000 per day, but now it has dropped to just over 10,000. What is the reason for this decline? If it was previously possible to migrate over 100,000 per day, why has it changed? The CT has stated that they will OM until the first quarter of this year to bring the migratiion in line with KYC amounts. However, if it's technically feasible to achieve a higher migration speed, why isnโ€™t it being done? The answer is quite simple: it depends on what everyone does with the Pi after such large migration numbers. If pioneers rush to buy and sell, hold onto their Pi coins, or trade at low value, it will impact the speed and efficiency of the next migration in these regions. This principle is not only theoretically valid but has proven true in practice. For instance, countries like the Philippines, Indonesia, and Malaysia have a solid educational foundation in GCV. Most pioneers there are highly aware of the risks involved in participating in the black market, which allows them to generate a substantial amount of GCV data. As a result, their migration speed is notably fast, and there are many large wallet migrated. To help the CT regain momentum, we all need to cooperate. Engage with the migrated Pi and participate in the GCV barter ecosystem. Be cautious of individuals who aim to deceive you for personal gain; devaluing the Pi often serves as a tactic to exchange something small for your valuable treasure. It's crucial to educate pioneers about the true value of what they hold and encourage them to avoid dishonest practices. I urge everyone to actively participate in partial Pi and partial FIAT barter. The more GCV data we generate, the more secure our wallets will be. Therefore, it's important for everyone to read and share the Pioneer Handbook I wrote which has been translated into 30 languages to raise awareness among pioneers. By learning from the Pioneer Handbook and participating in GCV bartering, we can improve China's migration efforts and foster ecological development. This stability can ensure that the value of our Pi endures for future generations, rather than becoming worthless in a few years. Wouldn't that be something we want to preserve for our children and grandchildren? Today's message is lengthy but very important, and I hope you take the time to understand it. I wish our Guizhou Zunyi Conference great success! Thank you to all GCV Ambassadors, Merchants, and Pioneers for your incredible support! Your efforts today are planting the seeds for a prosperous future, and I hope you find safety and fulfillment in the days to come. May your wishes come true! Wishing you health and happiness! Letโ€™s work together to create a better future! I also hope you all have a joyful Chinese New Year! Doris Yin ๐Ÿชท๐Ÿชท๐Ÿชท Founder, Global GCV Movement January 12, 2025

Doris Yin ไธœๆ–น็ดซ่Žฒ๐Ÿชท

18,340 views โ€ข 1 year ago

Dear Sh Rao Inderjit Singh ji, there is simply no time to waste now in more meetings, investigations and another slew of development plans for Gurgaon. You have represented Gurgaon in Parliament since 2009, and this is your fourth consecutive term. You know this city and its transformation better than most. As a citizens collective, we have been raising these issues since 2013. Gurugramโ€™s sanitation, air-pollution, waste ,broken & inadequate infrastructure and civic failures had already reached #crisis proportions. And yet, every monsoon, we go through the same cycle โ€ฆ a few weeks of rain, a sudden flurry of meetings, promises and action plans โ€ฆ and then the rains pass. But our daily strife remains.We live with the consequences 365 days a year. Sir, If you genuinely want to fix Gurugram, -you will need to shift to Gurgaon for at least 12 months -only then will you truly #see and grasp the scale of gross civic deficiencies and perhaps recognise the need for extraordinary measures, including seeking extraordinary assistance from PMO India and even the Defence forces to rein in the entrenched, #lawlessness #corruption - contractorโ€“transportโ€“waste nexus that appears to operate with no fear of enforcement. For far too long, real-estate growth has been treated as the measure of a successful Gurgaon, while the lived experience of its existing population has been pushed aside. Gurugram has generated enormous resources for the State. Surely, the city that generates this wealth deserves to see a substantial part of that capacity invested back into fixing what is broken, restoring what has been neglected and reducing the daily strife of its residents. And in the midst of this civic crisis, there is simply no room for diverting administrative attention and resources into new development. Stall what can be stalled. I am sure you would agree that there has been enough time, enough representation and enough votes to make a difference to the constituency you have represented for so long. Please look at the attached photographs, taken over the past 48 hours. Gurugram is already in the throes of a civic crisis. Right now the only announcement we want to hear is -MP Gurugram is going to reside in his constituency till the city gets its dues and peopleโ€™s health safety well being prioritised and not just growth in realty ๐Ÿ™ #Gurugram #Accountability #Liveability #MPGurgaon Nayab Saini ji Haryana BJP ๐Ÿ™
0:17

Dear Sh Rao Inderjit Singh ji, there is simply no time to waste now in more meetings, investigations and another slew of development plans for Gurgaon. You have represented Gurgaon in Parliament since 2009, and this is your fourth consecutive term. You know this city and its transformation better than most. As a citizens collective, we have been raising these issues since 2013. Gurugramโ€™s sanitation, air-pollution, waste ,broken & inadequate infrastructure and civic failures had already reached #crisis proportions. And yet, every monsoon, we go through the same cycle โ€ฆ a few weeks of rain, a sudden flurry of meetings, promises and action plans โ€ฆ and then the rains pass. But our daily strife remains.We live with the consequences 365 days a year. Sir, If you genuinely want to fix Gurugram, -you will need to shift to Gurgaon for at least 12 months -only then will you truly #see and grasp the scale of gross civic deficiencies and perhaps recognise the need for extraordinary measures, including seeking extraordinary assistance from PMO India and even the Defence forces to rein in the entrenched, #lawlessness #corruption - contractorโ€“transportโ€“waste nexus that appears to operate with no fear of enforcement. For far too long, real-estate growth has been treated as the measure of a successful Gurgaon, while the lived experience of its existing population has been pushed aside. Gurugram has generated enormous resources for the State. Surely, the city that generates this wealth deserves to see a substantial part of that capacity invested back into fixing what is broken, restoring what has been neglected and reducing the daily strife of its residents. And in the midst of this civic crisis, there is simply no room for diverting administrative attention and resources into new development. Stall what can be stalled. I am sure you would agree that there has been enough time, enough representation and enough votes to make a difference to the constituency you have represented for so long. Please look at the attached photographs, taken over the past 48 hours. Gurugram is already in the throes of a civic crisis. Right now the only announcement we want to hear is -MP Gurugram is going to reside in his constituency till the city gets its dues and peopleโ€™s health safety well being prioritised and not just growth in realty ๐Ÿ™ #Gurugram #Accountability #Liveability #MPGurgaon Nayab Saini ji Haryana BJP ๐Ÿ™

Ruchika Sethi

10,877 views โ€ข 14 days ago

Why is the market selling off today? (Save this). The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huangโ€™s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensenโ€™s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.
0:11

Why is the market selling off today? (Save this). The semi selloff right now is being driven by a mix of macro fear, profit taking and investors questioning how quickly all of this AI spending will actually pay off, not because demand for AI infrastructure suddenly disappeared. The market is basically trading this chain reaction, the ongoing US Iran escalation pushes oil higher, higher oil keeps inflation elevated, sticky inflation keeps Treasury yields high and that increases the risk of the Fed staying hawkish or even hiking again. That is a terrible setup for semis because many of these companies are valued on the massive earnings investors expect them to generate years from now. When yields rise, those future earnings become worth less today which is why the highest multiple AI and semiconductor names usually get hit first. (I don't think there will be a hike this year). This is also why everything is moving together right now. Nvidia, Micron, Nebius, SanDisk, Broadcom and Applied Optoelectronics are all completely different businesses, but institutions are not separating memory, networking, optics, compute and cloud infrastructure at the moment. They are reducing exposure to the entire AI trade, taking profits in the names that have already run the most and moving into a more defensive position potentially ahead of the Fed. There is also growing pressure around hyperscaler capex. Microsoft, Meta, Amazon and Google are still spending enormous amounts on GPUs, data centers, networking and power but the market is starting to ask when all of that spending will actually turn into revenue and free cash flow. Investors are no longer satisfied with hearing that AI capex is growing. They want proof that the returns are arriving fast enough to justify the valuations already priced into the entire AI ecosystem. That creates a weird situation where hyperscaler capex can continue rising while semiconductor stocks still fall. The market is not asking whether AI spending is growing anymore but rather asking whether it is growing fast enough to beat the expectations already baked into these stocks. Crowded positioning is another major factor. Semis and AI infrastructure stocks have been some of the biggest winners in the market so institutions are sitting on huge profits and many funds own the exact same names. When macro risk increases, investors usually sell the most liquid winners first. That does not mean demand for memory, optics or custom chips suddenly collapsed but rather means investors are locking in gains and reducing risk. Tariffs add another layer because even when they are not directly placed on chips, they can still raise the cost of servers, electrical equipment, cooling systems, construction materials and the overall data center buildout. That makes AI infrastructure more expensive while also adding another source of inflation. Then you have Jensen Huangโ€™s letter to the White House this morning about open weight AI models, which I think is one of the most important long term developments here. Nvidia, Meta, Microsoft, Palantir and several other companies are pushing Washington not to place broad restrictions on open weight AI. OpenAI and Anthropic were notably absent because open models are much more of a threat to their business models. OpenAI and Anthropic benefit from a world where a few closed frontier labs control the best models and companies have to pay them through subscriptions and APIs. Open weight models weaken that advantage because businesses can download a model, customize it for their own use and run it on their own infrastructure or through a neocloud. That is bad for OpenAI and Anthropic because it puts pressure on pricing, margins and the idea that they will control the intelligence layer of the economy but it is very good for the AI ecosystem as a whole over the long run. But the question is what does this mean for all the OpenAI and Anthropic commitments? so that's adding to the fear as well. But with that being said open models make AI cheaper and more accessible. Instead of AI being controlled by a few giant labs, thousands of startups, universities, governments and regular businesses can deploy models themselves. That spreads AI adoption across the entire economy and creates a much larger infrastructure opportunity and that is exactly why Jensen cares. Nvidia does not need OpenAI or Anthropic to win. Nvidia just needs more people using AI. Whether the model comes from OpenAI, Anthropic, Meta, Mistral, Kimi or some startup nobody has heard of yet, it still needs GPUs, memory, networking, data centers and electricity. So open weight AI could actually weaken the model companies while making the infrastructure layer much bigger. More open models mean more companies running inference. More inference means more GPUs. More GPUs mean more HBM, optical transceivers, switches, data centers and power. That is bullish for Nvidia Nebius, Micron, Broadcom , Marvell and Applied Optoelectronics over the long run. So my take is that the current semi selloff is being driven mostly by macro uncertainty, higher oil, rising yields, Fed fears, tariffs, crowded positioning and questions around the return on hyperscaler capex. The underlying AI infrastructure thesis has not suddenly broken. We are not broadly seeing hyperscalers cancel GPU orders, slash capex, abandon data center projects or report that AI demand has collapsed. What has changed is the valuation investors are willing to pay while the macro environment remains unstable. The market is lowering the price it is willing to pay for semiconductor growth but is not necessarily saying that growth is gone. And while Jensenโ€™s open weight push may be bad for OpenAI and Anthropic, it could be one of the best things possible for the AI ecosystem over the long run because it creates more models, more developers, more competition and ultimately much more demand for the infrastructure underneath all of it. Nothing about the AI thesis has changed for me, so I will be going shopping and taking advantage of this sale while the market is selling everything together. I am an analyst at Milk Road Pro, and if you want to see exactly what I am buying, you can join for just $1 using the link below.

Melvin

180,578 views โ€ข 1 month ago

๐Ÿšจ I CANโ€™T BELIEVE THIS IS HAPPENING NOW!! IRAN HAS JUST FULLY OPENED THE STRAIT OF HORMUZ In just 30 minutes after this post: - OIL dumped -10% - Stocks gained +$800 BILLION - The S&P 500 set new all-time highs The MASSIVE scale of what just happened for global markets is unreal. 20% of global oil supply passes through the STRAIT OF HORMUZ. The effect will be IMMEDIATE and POWERFUL. If you hold any assets: - Stocks - Crypto - Bonds - Gold - Or even the US dollar YOU MUST READ this post before markets explode. Hereโ€™s what just happened and whatโ€™s next for markets: OIL (Brent/WTI) Expect a sharp collapse in the โ€œrisk premium.โ€ If prices were pricing in $25โ€“30 of risk during the blockade, then with free passage, oil could drop 10โ€“15% in a single trading session. And price has already started going down. Oil is now trading at $80. A few weeks ago, it hit an ATH at $120 per barrel. NATURAL GAS (LNG) Qatar is the largest LNG exporter and regains access to European and Asian markets. So that means gas prices in these regions will decrease. For tanker stocks and the insurance sector, this is a moment of truth. FREIGHT RATES The cost of renting tankers and container ships will start to decline. The reason is very simple: the risks of attacks and delays disappear. And now everything returns to the normal scenario. INSURANCE (War Risk Premium) Insurance premiums for ships passing through this region will reset to zero or drop sharply. This reduces the cost of nearly all goods transported by sea. STOCK MARKETS AND MACROECONOMICS This is where the most POWERFUL BULLISH effect lies: INFLATION: Cheap oil = slowing inflation worldwide. This gives central banks (Fed, ECB) a reason to cut interest rates faster. STOCKS (S&P 500, NASDAQ): Markets love stability. The removal of a major war threat in the Persian Gulf is a strong signal to buy risk assets. SHIFT TO โ€œRISK ONโ€ Crypto is the main indicator of investorsโ€™ willingness to take risk. When the threat of a global conflict in a key region (Strait of Hormuz) disappears, Capital instantly flows from โ€œsafe havensโ€ (gold, US Treasuries) into risk assets. Expectations that the Fed will cut rates faster due to falling inflation (thanks to cheap oil) means there will be more โ€œcheapโ€ money in the system. Crypto loves cheap money. Bitcoin will start rising as a tech asset. Growth in the NASDAQ index (tech) almost always pulls BTC with 2x leverage. This is exactly the time when REAL MONEY is made. And you should track all the updates so you donโ€™t miss the opportunity. But donโ€™t worry, I will keep you updated on everything here. I will post everything before it becomes HEADLINES. When I make my next move, Iโ€™ll share it publicly here. Follow and turn on notifications so you don't miss it. Comment "Strategy" and I will send you my guide in DMs. Many people will regret not following me earlier...
0:14

๐Ÿšจ I CANโ€™T BELIEVE THIS IS HAPPENING NOW!! IRAN HAS JUST FULLY OPENED THE STRAIT OF HORMUZ In just 30 minutes after this post: - OIL dumped -10% - Stocks gained +$800 BILLION - The S&P 500 set new all-time highs The MASSIVE scale of what just happened for global markets is unreal. 20% of global oil supply passes through the STRAIT OF HORMUZ. The effect will be IMMEDIATE and POWERFUL. If you hold any assets: - Stocks - Crypto - Bonds - Gold - Or even the US dollar YOU MUST READ this post before markets explode. Hereโ€™s what just happened and whatโ€™s next for markets: OIL (Brent/WTI) Expect a sharp collapse in the โ€œrisk premium.โ€ If prices were pricing in $25โ€“30 of risk during the blockade, then with free passage, oil could drop 10โ€“15% in a single trading session. And price has already started going down. Oil is now trading at $80. A few weeks ago, it hit an ATH at $120 per barrel. NATURAL GAS (LNG) Qatar is the largest LNG exporter and regains access to European and Asian markets. So that means gas prices in these regions will decrease. For tanker stocks and the insurance sector, this is a moment of truth. FREIGHT RATES The cost of renting tankers and container ships will start to decline. The reason is very simple: the risks of attacks and delays disappear. And now everything returns to the normal scenario. INSURANCE (War Risk Premium) Insurance premiums for ships passing through this region will reset to zero or drop sharply. This reduces the cost of nearly all goods transported by sea. STOCK MARKETS AND MACROECONOMICS This is where the most POWERFUL BULLISH effect lies: INFLATION: Cheap oil = slowing inflation worldwide. This gives central banks (Fed, ECB) a reason to cut interest rates faster. STOCKS (S&P 500, NASDAQ): Markets love stability. The removal of a major war threat in the Persian Gulf is a strong signal to buy risk assets. SHIFT TO โ€œRISK ONโ€ Crypto is the main indicator of investorsโ€™ willingness to take risk. When the threat of a global conflict in a key region (Strait of Hormuz) disappears, Capital instantly flows from โ€œsafe havensโ€ (gold, US Treasuries) into risk assets. Expectations that the Fed will cut rates faster due to falling inflation (thanks to cheap oil) means there will be more โ€œcheapโ€ money in the system. Crypto loves cheap money. Bitcoin will start rising as a tech asset. Growth in the NASDAQ index (tech) almost always pulls BTC with 2x leverage. This is exactly the time when REAL MONEY is made. And you should track all the updates so you donโ€™t miss the opportunity. But donโ€™t worry, I will keep you updated on everything here. I will post everything before it becomes HEADLINES. When I make my next move, Iโ€™ll share it publicly here. Follow and turn on notifications so you don't miss it. Comment "Strategy" and I will send you my guide in DMs. Many people will regret not following me earlier...

แด›ส€แด€แด„แด‡ส€

919,654 views โ€ข 5 months ago

๐Ÿš€๐Ÿ”ฎ InterPredict V2: From Beta Testing to Production Readiness ๐ŸŒโšก InterPredict is entering a critical new stage: moving from an early beta product towards a more reliable, scalable, and production-ready community prediction marketplace. ๐Ÿง ๐Ÿ“Š This is not simply a version update. It is a structured transition from testing the concept to strengthening the infrastructure required for real-world use. ๐Ÿ› ๏ธ๐ŸŒ ๐Ÿงช What the Beta Phase Achieved The beta phase provided an important testing environment for: โ€ข โœ… Validating the core prediction-market concept โ€ข ๐Ÿ‘ฅ Observing how users interact with the platform โ€ข ๐Ÿ› Identifying technical issues and improvement areas โ€ข ๐Ÿ’ฌ Collecting community feedback โ€ข ๐Ÿ“ˆ Understanding how prediction markets perform under real usage conditions Beta testing was about learning what works, discovering what needs improvement, and preparing the foundation for the next phase. ๐Ÿ”๐Ÿšง โš™๏ธ๐Ÿš€ What InterPredict V2 Brings With V2, the focus is shifting towards a smoother, faster, and more dependable user experience. Key priorities include: โšก Improved performance ๐Ÿ›ก๏ธ Greater reliability ๐Ÿ“ˆ Better scalability ๐Ÿ”— Seamless system integration โš™๏ธ More efficient platform operations ๐ŸŽจ A clearer and more accessible interface The objective is to connect the platformโ€™s core components into one integrated system that can support broader participation and future growth. ๐ŸŒฑ๐ŸŒ ๐Ÿ› ๏ธ๐Ÿ“‹ Development Progress The current development status is as follows: โœ… Smart contract development: Completed โœ… Backend and server development: Completed ๐Ÿ”„ Frontend development: In progress ๐Ÿ”— Full platform integration: In progress ๐Ÿงช Final testing: Upcoming ๐ŸŒ๐Ÿš€ Mainnet launch: Planned after successful testing and review This staged approach is important. Before a Mainnet release, the platform must be tested thoroughly across its technical systems, user flows, security processes, and overall reliability. ๐Ÿ”โœ… ๐Ÿ“Š๐Ÿง  More Than Just Making Predictions InterPredictโ€™s wider purpose extends beyond individual predictions. ๐Ÿ”ฎ The platform is designed to help transform community knowledge, opinions, and expectations into structured prediction markets. When participation is organised effectively, collective views can produce useful market signals and offer insight into how communities assess future events. ๐Ÿ’ก๐Ÿ“ˆ This may create value in several areas: โ€ข ๐Ÿ—ฃ๏ธ Encouraging informed participation โ€ข ๐Ÿ“Š Making community sentiment easier to analyse โ€ข ๐Ÿ” Creating transparent prediction-based markets โ€ข ๐Ÿง  Supporting data-driven discussion โ€ข ๐Ÿค Giving users a more interactive role in the ecosystem Prediction markets do not guarantee correct outcomes, but they can provide a structured way to compare expectations and observe changing sentiment. โš–๏ธ๐Ÿ“‰๐Ÿ“ˆ ๐Ÿงช๐Ÿ” The Importance of the Final Testing Phase The period before Mainnet will be especially significant. It should focus on: โ€ข End-to-end testing: checking that all platform components work together correctly โ€ข Early-user feedback: identifying practical issues from real user interactions โ€ข Performance review: assessing speed, stability, and scalability โ€ข Security checks: reviewing smart contracts and supporting infrastructure โ€ข User-experience refinement: making the platform easier to understand and use โ€ข Operational readiness: ensuring the system can support activity after launch A successful Mainnet launch depends not only on completing development, but also on the quality of testing and review that comes before it. โœ…๐Ÿš€ ๐Ÿ”„๐ŸŒ From Vision to Real-World Adoption InterPredictโ€™s progress can be viewed as a clear development path: ๐Ÿ”ฌ Experimentation โ†’ ๐Ÿ—๏ธ Infrastructure โ†’ ๐Ÿ”— Integration โ†’ ๐Ÿ” Testing โ†’ ๐ŸŒ Adoption Beta tested the initial vision ๐Ÿงช V2 strengthens the technical foundation ๐Ÿ› ๏ธ Integration connects the platformโ€™s main components ๐Ÿ”— Testing prepares the system for wider use ๐Ÿ” Mainnet will measure how effectively the ecosystem performs in practice ๐Ÿš€ Each stage has a different purpose, and completing them carefully is essential for sustainable growth. ๐ŸŒฑ๐Ÿ“ˆ ๐ŸŒŸ The Road Ahead InterPredict V2 represents an important step towards building a stronger community prediction marketplace. ๐Ÿ”ฎ๐ŸŒ The next milestones will determine how effectively the platform can convert its technical progress into a dependable experience for users. ๐Ÿ‘ฅโš™๏ธ The goal is clear: create a system where people can predict, participate, share perspectives, and contribute to meaningful market signals in a transparent and structured way. ๐Ÿ’ฌ๐Ÿ“Š๐Ÿค ๐Ÿ”ฎโœจ Final Takeaway โ†’ Beta tested the vision. ๐Ÿงช โ†’ V2 is strengthening the infrastructure. ๐Ÿ› ๏ธ โ†’ Mainnet will put the ecosystem to the test. ๐ŸŒ๏ฟฝ* The journey continues: ๐ŸŽฒ Predict. ๐Ÿค Participate. ๐ŸŒ Shape Tomorrow. ๐Ÿ’œโšก ๐Ÿ”— Follow InterPredict: InterPredict ๐Ÿ“ฒ Telegram: InterLink Labs ๐Ÿ‘ค + ๐ŸŒ InterPredict InterLink Foundation KV Reina | InterLink Labs Mira #InterPredict #ITP #InterLink #ITLG #ITL #PredictionMarkets #ITL #ITLG #Web3 #Blockchain #dApp #Mainnet #Tokenomics
0:11

๐Ÿš€๐Ÿ”ฎ InterPredict V2: From Beta Testing to Production Readiness ๐ŸŒโšก InterPredict is entering a critical new stage: moving from an early beta product towards a more reliable, scalable, and production-ready community prediction marketplace. ๐Ÿง ๐Ÿ“Š This is not simply a version update. It is a structured transition from testing the concept to strengthening the infrastructure required for real-world use. ๐Ÿ› ๏ธ๐ŸŒ ๐Ÿงช What the Beta Phase Achieved The beta phase provided an important testing environment for: โ€ข โœ… Validating the core prediction-market concept โ€ข ๐Ÿ‘ฅ Observing how users interact with the platform โ€ข ๐Ÿ› Identifying technical issues and improvement areas โ€ข ๐Ÿ’ฌ Collecting community feedback โ€ข ๐Ÿ“ˆ Understanding how prediction markets perform under real usage conditions Beta testing was about learning what works, discovering what needs improvement, and preparing the foundation for the next phase. ๐Ÿ”๐Ÿšง โš™๏ธ๐Ÿš€ What InterPredict V2 Brings With V2, the focus is shifting towards a smoother, faster, and more dependable user experience. Key priorities include: โšก Improved performance ๐Ÿ›ก๏ธ Greater reliability ๐Ÿ“ˆ Better scalability ๐Ÿ”— Seamless system integration โš™๏ธ More efficient platform operations ๐ŸŽจ A clearer and more accessible interface The objective is to connect the platformโ€™s core components into one integrated system that can support broader participation and future growth. ๐ŸŒฑ๐ŸŒ ๐Ÿ› ๏ธ๐Ÿ“‹ Development Progress The current development status is as follows: โœ… Smart contract development: Completed โœ… Backend and server development: Completed ๐Ÿ”„ Frontend development: In progress ๐Ÿ”— Full platform integration: In progress ๐Ÿงช Final testing: Upcoming ๐ŸŒ๐Ÿš€ Mainnet launch: Planned after successful testing and review This staged approach is important. Before a Mainnet release, the platform must be tested thoroughly across its technical systems, user flows, security processes, and overall reliability. ๐Ÿ”โœ… ๐Ÿ“Š๐Ÿง  More Than Just Making Predictions InterPredictโ€™s wider purpose extends beyond individual predictions. ๐Ÿ”ฎ The platform is designed to help transform community knowledge, opinions, and expectations into structured prediction markets. When participation is organised effectively, collective views can produce useful market signals and offer insight into how communities assess future events. ๐Ÿ’ก๐Ÿ“ˆ This may create value in several areas: โ€ข ๐Ÿ—ฃ๏ธ Encouraging informed participation โ€ข ๐Ÿ“Š Making community sentiment easier to analyse โ€ข ๐Ÿ” Creating transparent prediction-based markets โ€ข ๐Ÿง  Supporting data-driven discussion โ€ข ๐Ÿค Giving users a more interactive role in the ecosystem Prediction markets do not guarantee correct outcomes, but they can provide a structured way to compare expectations and observe changing sentiment. โš–๏ธ๐Ÿ“‰๐Ÿ“ˆ ๐Ÿงช๐Ÿ” The Importance of the Final Testing Phase The period before Mainnet will be especially significant. It should focus on: โ€ข End-to-end testing: checking that all platform components work together correctly โ€ข Early-user feedback: identifying practical issues from real user interactions โ€ข Performance review: assessing speed, stability, and scalability โ€ข Security checks: reviewing smart contracts and supporting infrastructure โ€ข User-experience refinement: making the platform easier to understand and use โ€ข Operational readiness: ensuring the system can support activity after launch A successful Mainnet launch depends not only on completing development, but also on the quality of testing and review that comes before it. โœ…๐Ÿš€ ๐Ÿ”„๐ŸŒ From Vision to Real-World Adoption InterPredictโ€™s progress can be viewed as a clear development path: ๐Ÿ”ฌ Experimentation โ†’ ๐Ÿ—๏ธ Infrastructure โ†’ ๐Ÿ”— Integration โ†’ ๐Ÿ” Testing โ†’ ๐ŸŒ Adoption Beta tested the initial vision ๐Ÿงช V2 strengthens the technical foundation ๐Ÿ› ๏ธ Integration connects the platformโ€™s main components ๐Ÿ”— Testing prepares the system for wider use ๐Ÿ” Mainnet will measure how effectively the ecosystem performs in practice ๐Ÿš€ Each stage has a different purpose, and completing them carefully is essential for sustainable growth. ๐ŸŒฑ๐Ÿ“ˆ ๐ŸŒŸ The Road Ahead InterPredict V2 represents an important step towards building a stronger community prediction marketplace. ๐Ÿ”ฎ๐ŸŒ The next milestones will determine how effectively the platform can convert its technical progress into a dependable experience for users. ๐Ÿ‘ฅโš™๏ธ The goal is clear: create a system where people can predict, participate, share perspectives, and contribute to meaningful market signals in a transparent and structured way. ๐Ÿ’ฌ๐Ÿ“Š๐Ÿค ๐Ÿ”ฎโœจ Final Takeaway โ†’ Beta tested the vision. ๐Ÿงช โ†’ V2 is strengthening the infrastructure. ๐Ÿ› ๏ธ โ†’ Mainnet will put the ecosystem to the test. ๐ŸŒ๏ฟฝ* The journey continues: ๐ŸŽฒ Predict. ๐Ÿค Participate. ๐ŸŒ Shape Tomorrow. ๐Ÿ’œโšก ๐Ÿ”— Follow InterPredict: InterPredict ๐Ÿ“ฒ Telegram: InterLink Labs ๐Ÿ‘ค + ๐ŸŒ InterPredict InterLink Foundation KV Reina | InterLink Labs Mira #InterPredict #ITP #InterLink #ITLG #ITL #PredictionMarkets #ITL #ITLG #Web3 #Blockchain #dApp #Mainnet #Tokenomics

Tekkausยฎ | InterLink Global Leader โ€ข MOD โ€ข OG

146,322 views โ€ข 7 days ago

Iโ€™m excited to announce my new role as Growth Lead at Plume! ๐Ÿฆโ€๐Ÿ”ฅ 6 months ago, I had my first call with Chris Yin and surprisingly, he changed my mind. I was skeptical of a web3-native project trying to bridge the traditional world into ours. His thesis of a permissionless blockchain environment was antithesis to what I believed in at the time. After about 45 minutes of deep discussion, I could finally see it. I dropped all of my other RWA investment prospects and pointed myself towards Plume. From there, things got quiet for a while. Myself and the 280 partners debated the RWA sector as a whole and quietly observed Plumeโ€™s progress on the sidelines. Fast forward a few months and I had finally realized a thesis of my own; In crypto, youโ€™ll generally find two key types of participants: speculators and yield chasers. Speculators lower their risk threshold in search of the next 100x, closely following trends and trying to capture opportunities early. It is a game that requires forward-thinking, intuition, and a lot of luck. These people range in financial status, with some looking to make their first bucket of gold, with the others trying to hit another big win and buy their second lambo. Yield chasers are a different breed of folks. They may not want to ape their entire portfolio into memes, rather they enjoy the attractive returns that DeFi offers that they generally wouldnโ€™t be able to find in the traditional world. These folks generally arenโ€™t looking for lambo, but believe that they will still be living well without the stress of going to zero. But as we see every cycle, Bitcoin crashes, DeFi collapses, and another round of fuzzy-haired fellas find their way over to the Metropolitan Detention Centre. Crypto dies, retail gets burned, the regulators swoop in and start raising hell, and the cycle repeats. Why does it have to be this way? Of course market cycles are natural and perhaps healthy, but why the catastrophe at the end each time? There must be a better way. And then it hit me. RWAfi is and always was the answer. The road at the end of all roads. Itโ€™s a nice road, paved with the blood, sweat, and tears of those truly trying to connect the entire world to our industry. Whether you made a major bag and want to move into wealth preservation or lost it all and no longer want to live the life of a degenerate gambler and are comfortable with a more stable approach to wealth building, eventually, everyone ends up chasing juicy yields. And we all know that there is only one sector of our industry that can consistently deliver attractive yields through bull and bear. There is only one sector that can support all the TVL that is currently sitting in vaults that are unable to sustain the yields they promised. The nature of the vertical makes it constantly aware of regulatory considerations. RWAfi is a sleeping giant, and not only will it unlock a $400T market, it will also catalyze an incredible amount of growth resembling tens of trillion in newly created value and opportunity. We are so early. That, paired with the incredible team Teddy @shukyeerwa Ivy Kang and the other 40 cracked believers that are pushing beyond their limits is the reason I bet on Plume. We have everything it takes to make it ๐Ÿค I have to give a special shout out to J for how supportive he has been with this move. 280 Capital is married to Plume now and Iโ€™m sure we will be collaborating on a lot moving forward. Another shoutout to one of the great minds of this industry JacobK whose conviction in Plume really pushed me to purse this role๐Ÿ™๐Ÿพ Vibes are all-time high with this team, and bring a fresh combination of competence, experience, and true belief in the platform that we are building. Mark my words, Plume will unify the RWAfi sector and pave the way as one of the giants of this industry. Letโ€™s fucking do this. ๐Ÿฆโ€๐Ÿ”ฅ Goons in complete control.
0:11

Iโ€™m excited to announce my new role as Growth Lead at Plume! ๐Ÿฆโ€๐Ÿ”ฅ 6 months ago, I had my first call with Chris Yin and surprisingly, he changed my mind. I was skeptical of a web3-native project trying to bridge the traditional world into ours. His thesis of a permissionless blockchain environment was antithesis to what I believed in at the time. After about 45 minutes of deep discussion, I could finally see it. I dropped all of my other RWA investment prospects and pointed myself towards Plume. From there, things got quiet for a while. Myself and the 280 partners debated the RWA sector as a whole and quietly observed Plumeโ€™s progress on the sidelines. Fast forward a few months and I had finally realized a thesis of my own; In crypto, youโ€™ll generally find two key types of participants: speculators and yield chasers. Speculators lower their risk threshold in search of the next 100x, closely following trends and trying to capture opportunities early. It is a game that requires forward-thinking, intuition, and a lot of luck. These people range in financial status, with some looking to make their first bucket of gold, with the others trying to hit another big win and buy their second lambo. Yield chasers are a different breed of folks. They may not want to ape their entire portfolio into memes, rather they enjoy the attractive returns that DeFi offers that they generally wouldnโ€™t be able to find in the traditional world. These folks generally arenโ€™t looking for lambo, but believe that they will still be living well without the stress of going to zero. But as we see every cycle, Bitcoin crashes, DeFi collapses, and another round of fuzzy-haired fellas find their way over to the Metropolitan Detention Centre. Crypto dies, retail gets burned, the regulators swoop in and start raising hell, and the cycle repeats. Why does it have to be this way? Of course market cycles are natural and perhaps healthy, but why the catastrophe at the end each time? There must be a better way. And then it hit me. RWAfi is and always was the answer. The road at the end of all roads. Itโ€™s a nice road, paved with the blood, sweat, and tears of those truly trying to connect the entire world to our industry. Whether you made a major bag and want to move into wealth preservation or lost it all and no longer want to live the life of a degenerate gambler and are comfortable with a more stable approach to wealth building, eventually, everyone ends up chasing juicy yields. And we all know that there is only one sector of our industry that can consistently deliver attractive yields through bull and bear. There is only one sector that can support all the TVL that is currently sitting in vaults that are unable to sustain the yields they promised. The nature of the vertical makes it constantly aware of regulatory considerations. RWAfi is a sleeping giant, and not only will it unlock a $400T market, it will also catalyze an incredible amount of growth resembling tens of trillion in newly created value and opportunity. We are so early. That, paired with the incredible team Teddy @shukyeerwa Ivy Kang and the other 40 cracked believers that are pushing beyond their limits is the reason I bet on Plume. We have everything it takes to make it ๐Ÿค I have to give a special shout out to J for how supportive he has been with this move. 280 Capital is married to Plume now and Iโ€™m sure we will be collaborating on a lot moving forward. Another shoutout to one of the great minds of this industry JacobK whose conviction in Plume really pushed me to purse this role๐Ÿ™๐Ÿพ Vibes are all-time high with this team, and bring a fresh combination of competence, experience, and true belief in the platform that we are building. Mark my words, Plume will unify the RWAfi sector and pave the way as one of the giants of this industry. Letโ€™s fucking do this. ๐Ÿฆโ€๐Ÿ”ฅ Goons in complete control.

CrabLegs ๐Ÿฆ€

41,406 views โ€ข 1 year ago

๐Ÿš€ Introducing EgoExo Forge - built on top of Rerun, Gradio, and Hugging Face hub (Iโ€™ll be in San Francisco July 21โ€“29 โ€” if youโ€™re into robotics, egocentric AI, large-scale data collection, or just want to chat, DM me!) In my opinion, large-scale, diverse, and high-quality data is still the largest bottleneck for generalized robotics deployment. I believe that some version of imitation learning from human examples will be the most scalable + clean way to train humanoid robots ๐Ÿค– (similar to what Tesla did for Full Self Driving). Teleop is too expensive to collect a large enough dataset in a reasonable manner, so passive collection via egocentric (and in certain cases, exocentric) views feels like the right bet. Over the past few months, I've been trying to build out the scaffolding for this and using Rerun as my underlying infrastructure. Data being collected needs to be easily inspectable + time series and rerun provides the right tooling for this. My goal is to first build out a ground truth representative dataset from already existing open source data, generate some reasonable baselines, and then go out and collect my own data that adheres to the defined schema. ๐Ÿ” Starting with open-source datasets 1. EgoDex from Apple 2. HOCap from Nvidia and the University of Texas at Dallas 3. Assembly101 from Meta All these different datasets have different sensor configurations + annotations, so my goal with egoexo-forge is to have one consistent labeling scheme + data layout. I built a data pipeline that aligns all of the different datasets in one general schema assuming the COCO133 keypoint layout that allows for exo+ego, ego only, or exo only Since the scaffolding is already there, it becomes MUCH easier to add other datasets. So the next ones that I'll be including are HD-EPIC kitchens dataset, HOT3D, and finally my own personal iPhone + insta360 go collection method. Once I have a diverse variety of datasets, I'll double down on what I believe to be the key algorithms required to make useful data for imitation learning ๐Ÿ“Š 1. Camera Pose estimation via SLAM/SFM for ego perspective (and automatic calibration for exo) 2. Human pose estimation for both egocentric + exocentric views 3. Metric 3D reconstruction + object tracking I'll be setting up reasonable open-source baselines for each of these to validate that these datasets work, and then finally try to use the generated datasets for some imitation learning via the pi0-lerobot repo I've been working on. I plan on making a blog post + providing more info on all of this in the near future so stay tuned
0:18

๐Ÿš€ Introducing EgoExo Forge - built on top of Rerun, Gradio, and Hugging Face hub (Iโ€™ll be in San Francisco July 21โ€“29 โ€” if youโ€™re into robotics, egocentric AI, large-scale data collection, or just want to chat, DM me!) In my opinion, large-scale, diverse, and high-quality data is still the largest bottleneck for generalized robotics deployment. I believe that some version of imitation learning from human examples will be the most scalable + clean way to train humanoid robots ๐Ÿค– (similar to what Tesla did for Full Self Driving). Teleop is too expensive to collect a large enough dataset in a reasonable manner, so passive collection via egocentric (and in certain cases, exocentric) views feels like the right bet. Over the past few months, I've been trying to build out the scaffolding for this and using Rerun as my underlying infrastructure. Data being collected needs to be easily inspectable + time series and rerun provides the right tooling for this. My goal is to first build out a ground truth representative dataset from already existing open source data, generate some reasonable baselines, and then go out and collect my own data that adheres to the defined schema. ๐Ÿ” Starting with open-source datasets 1. EgoDex from Apple 2. HOCap from Nvidia and the University of Texas at Dallas 3. Assembly101 from Meta All these different datasets have different sensor configurations + annotations, so my goal with egoexo-forge is to have one consistent labeling scheme + data layout. I built a data pipeline that aligns all of the different datasets in one general schema assuming the COCO133 keypoint layout that allows for exo+ego, ego only, or exo only Since the scaffolding is already there, it becomes MUCH easier to add other datasets. So the next ones that I'll be including are HD-EPIC kitchens dataset, HOT3D, and finally my own personal iPhone + insta360 go collection method. Once I have a diverse variety of datasets, I'll double down on what I believe to be the key algorithms required to make useful data for imitation learning ๐Ÿ“Š 1. Camera Pose estimation via SLAM/SFM for ego perspective (and automatic calibration for exo) 2. Human pose estimation for both egocentric + exocentric views 3. Metric 3D reconstruction + object tracking I'll be setting up reasonable open-source baselines for each of these to validate that these datasets work, and then finally try to use the generated datasets for some imitation learning via the pi0-lerobot repo I've been working on. I plan on making a blog post + providing more info on all of this in the near future so stay tuned

Pablo Vela

36,323 views โ€ข 1 year ago

Ola recently announced that they are bringing affordable AI to Indian developers. ๐‰๐š๐ซ๐ฏ๐ข๐ฌ๐ฅ๐š๐›๐ฌ an Indian company has been providing affordable GPUs for developers across the globe since 2020. We are a little known, so I want to share our story here. ๐–๐ก๐จ ๐ฐ๐ž ๐š๐ซ๐ž We are bootstrapped, building from the outskirts of Coimbatore. Started as a small team of 4, from humble backgrounds none from IITs/IIMs. Currently, we are a team of 12+. ๐–๐ก๐š๐ญ ๐ฐ๐ž ๐š๐œ๐ก๐ข๐ž๐ฏ๐ž๐ The cost of hosting GPU servers 4 years back in India was insanely high. We got 2 quotes which charged us Rs. 1.5L for a single server per month. At that cost, it was not practical for us to do the business. So we went to the first principle to build an MVP for a mini data center/server room. For the first few years, we ran all our servers from a room fitted with ACs, a UPS, and a Generator, which experts claimed would not work. As we scaled, we faced the heat of our setup, but by then we accumulated more money than we had. So last year we moved it to a tier 3+ DC near Bangalore. This helped us boost the confidence of our users, as we have redundancy for power, internet, and networking which gives us and our customers a lot of peaceful nights. ๐–๐ก๐จ ๐ฎ๐ฌ๐ž๐ฌ ๐‰๐š๐ซ๐ฏ๐ข๐ฌ๐ฅ๐š๐›๐ฌ Developers and artists from across the world have supported us in our journey. Some prominent companies are ZOHO (My inspiration), Weights and Biases, UNC, UpGrad, and many more. ๐‘๐ž๐ฏ๐ž๐ง๐ฎ๐ž We crossed 580K USD in the last financial year, the highest ever in our history. Being bootstrapped, the only way for us to grow is to put all the money back. Our customers are our investors, as a founder I have hardly taken a paycheck for the last 4+ years, since the team also believes in our vision they are happy not taking a fancy cheque. ๐•๐ข๐ฌ๐ข๐จ๐ง As AI evolves, we want to bring the capabilities of AI to users at the lowest prices possible. Being bootstrapped, the only way to survive is to be frugal and disciplined. ๐‡๐ข๐ซ๐ข๐ง๐  I am proud of our hiring strategy. We hired only freshers to date, and most of our hires do not have a formal degree. They come from rural areas and economically challenged backgrounds. The average age of our new team is 19. They have played an active role in building our V2 of Jarvislabs and improving the product daily. I love to thank everyone for supporting us in our journey. Thanks to Analytics India Magazine, INDIAai, fastai for recognizing us in our early years. If our story resonates with you, Please share our story to inspire others & support our mission. #StartupIndia
0:10

Ola recently announced that they are bringing affordable AI to Indian developers. ๐‰๐š๐ซ๐ฏ๐ข๐ฌ๐ฅ๐š๐›๐ฌ an Indian company has been providing affordable GPUs for developers across the globe since 2020. We are a little known, so I want to share our story here. ๐–๐ก๐จ ๐ฐ๐ž ๐š๐ซ๐ž We are bootstrapped, building from the outskirts of Coimbatore. Started as a small team of 4, from humble backgrounds none from IITs/IIMs. Currently, we are a team of 12+. ๐–๐ก๐š๐ญ ๐ฐ๐ž ๐š๐œ๐ก๐ข๐ž๐ฏ๐ž๐ The cost of hosting GPU servers 4 years back in India was insanely high. We got 2 quotes which charged us Rs. 1.5L for a single server per month. At that cost, it was not practical for us to do the business. So we went to the first principle to build an MVP for a mini data center/server room. For the first few years, we ran all our servers from a room fitted with ACs, a UPS, and a Generator, which experts claimed would not work. As we scaled, we faced the heat of our setup, but by then we accumulated more money than we had. So last year we moved it to a tier 3+ DC near Bangalore. This helped us boost the confidence of our users, as we have redundancy for power, internet, and networking which gives us and our customers a lot of peaceful nights. ๐–๐ก๐จ ๐ฎ๐ฌ๐ž๐ฌ ๐‰๐š๐ซ๐ฏ๐ข๐ฌ๐ฅ๐š๐›๐ฌ Developers and artists from across the world have supported us in our journey. Some prominent companies are ZOHO (My inspiration), Weights and Biases, UNC, UpGrad, and many more. ๐‘๐ž๐ฏ๐ž๐ง๐ฎ๐ž We crossed 580K USD in the last financial year, the highest ever in our history. Being bootstrapped, the only way for us to grow is to put all the money back. Our customers are our investors, as a founder I have hardly taken a paycheck for the last 4+ years, since the team also believes in our vision they are happy not taking a fancy cheque. ๐•๐ข๐ฌ๐ข๐จ๐ง As AI evolves, we want to bring the capabilities of AI to users at the lowest prices possible. Being bootstrapped, the only way to survive is to be frugal and disciplined. ๐‡๐ข๐ซ๐ข๐ง๐  I am proud of our hiring strategy. We hired only freshers to date, and most of our hires do not have a formal degree. They come from rural areas and economically challenged backgrounds. The average age of our new team is 19. They have played an active role in building our V2 of Jarvislabs and improving the product daily. I love to thank everyone for supporting us in our journey. Thanks to Analytics India Magazine, INDIAai, fastai for recognizing us in our early years. If our story resonates with you, Please share our story to inspire others & support our mission. #StartupIndia

Vishnu - Jarvislabs.ai

67,679 views โ€ข 2 years ago

Blue-Green Algae at Red Bud Isleโ˜ ๏ธ๐Ÿถ Austin, TX - Austin Watershed Protection staff have observed thick mats of blue-green algae, some of which may be toxic, notably near Red Bud Isle on Lady Bird Lake and at Walsh Boat Landing on Lake Austin. Samples were collected at all six monitoring sites on the lakes for testing. At this time of year, blue-green algae mats may be present in other parts of either lake and our creeks. Community members should be cautious and avoid contact with algae. They should keep dogs away from water with algae mats. The mats usually look like dark blobs floating on the surface and can be mixes of different kinds of algae. They may be mixed in with aquatic vegetation. As the weather continues to heat up, conditions for algae will become more favorable, and we expect to see more in our waterways. Assess Before You Enter Waterways If any of the following conditions are present, stay out of the water. They could indicate reduced water quality. โ€ขAlgae along the shoreline โ€ขStagnant, warm or murky water โ€ขScum or surface film. In addition, do not enter the water if there has been rain in the past three days. After Entering the Water โ€ขDo not drink water directly from natural water bodies. โ€ขAvoid contact with algae. โ€ขRinse skin, hair, and animal fur thoroughly after contact with water. โ€ขDo not allow pets to lick their fur before rinsing them off. If you or your pet experiences sudden, unexplained illness after swimming, contact your medical provider or veterinarian immediately. Residents are encouraged to report suspected human or animal illnesses related to algae using the Cityโ€™s online reporting form. The mats of blue-green algae present at Red Bud Isle are similar in appearance to conditions in May and June in previous years. For the past five years, we have applied lanthanum-modified clay to manage sediment phosphorus in an effort to reduce the growth of algae as part of a $1.5 million pilot program. This year is a control year with no application so we can evaluate the effectiveness of the pilot program and whether it is beneficial to continue investing public funds at the previous level. Algae is not the only risk when spending time on Austinโ€™s waterways. Natural water bodies can contain algae, bacteria, parasites, and other hazards. *Austin Watershed Protection
0:19

Blue-Green Algae at Red Bud Isleโ˜ ๏ธ๐Ÿถ Austin, TX - Austin Watershed Protection staff have observed thick mats of blue-green algae, some of which may be toxic, notably near Red Bud Isle on Lady Bird Lake and at Walsh Boat Landing on Lake Austin. Samples were collected at all six monitoring sites on the lakes for testing. At this time of year, blue-green algae mats may be present in other parts of either lake and our creeks. Community members should be cautious and avoid contact with algae. They should keep dogs away from water with algae mats. The mats usually look like dark blobs floating on the surface and can be mixes of different kinds of algae. They may be mixed in with aquatic vegetation. As the weather continues to heat up, conditions for algae will become more favorable, and we expect to see more in our waterways. Assess Before You Enter Waterways If any of the following conditions are present, stay out of the water. They could indicate reduced water quality. โ€ขAlgae along the shoreline โ€ขStagnant, warm or murky water โ€ขScum or surface film. In addition, do not enter the water if there has been rain in the past three days. After Entering the Water โ€ขDo not drink water directly from natural water bodies. โ€ขAvoid contact with algae. โ€ขRinse skin, hair, and animal fur thoroughly after contact with water. โ€ขDo not allow pets to lick their fur before rinsing them off. If you or your pet experiences sudden, unexplained illness after swimming, contact your medical provider or veterinarian immediately. Residents are encouraged to report suspected human or animal illnesses related to algae using the Cityโ€™s online reporting form. The mats of blue-green algae present at Red Bud Isle are similar in appearance to conditions in May and June in previous years. For the past five years, we have applied lanthanum-modified clay to manage sediment phosphorus in an effort to reduce the growth of algae as part of a $1.5 million pilot program. This year is a control year with no application so we can evaluate the effectiveness of the pilot program and whether it is beneficial to continue investing public funds at the previous level. Algae is not the only risk when spending time on Austinโ€™s waterways. Natural water bodies can contain algae, bacteria, parasites, and other hazards. *Austin Watershed Protection

Chris Walker

28,826 views โ€ข 3 months ago

AI just hit a wall that no amount of money can move. The planet itself. There is not enough power, water, or land on Earth to build the data centers the AI race now demands. So the most valuable bet in artificial intelligence is no longer a chip company or a model. It is a rocket company. The plan is to leave. In January, SpaceX filed with the FCC to launch up to 1 million solar-powered data center satellites into orbit. In February it bought xAI, the maker of Grok, folding an entire frontier AI lab into a rocket company in the largest corporate merger ever recorded. On June 8 it unveiled the AI1, a compute satellite with a 70-meter wingspan, wider than a Boeing 747, powered by the sun, cooled by the vacuum of space, and wired to the ground through Starlink. Four days later it went public in the largest IPO in history, near 1.77 trillion dollars, touched 2.1 trillion on its first day, raised close to 86 billion, and made one man the first trillionaire alive. Now read the direction of that merger, because it is the whole story. A rocket company bought the AI lab. Not the reverse. For three years everyone assumed the constraint on AI was chips, or data, or talent. It is none of them anymore. It is energy and heat and dirt. The head of Anthropic said his company grew faster than the exponential, 80 times in a single year, and that is exactly why it ran out of compute. The answer was not to build more data centers in Virginia. It was to leave the atmosphere, where the sun never sets and a solar panel does five times the work. The moat in artificial intelligence is no longer the model. It is the launch. And the first rent is already being paid. A rival lab, Anthropic, is reported to be sending roughly 1.25 billion dollars a month to Musk for compute. Google near 920 million. If intelligence moves to orbit, the company that owns the only affordable road there becomes the landlord of the next layer of the internet, the way one bookstore became the landlord of the cloud. The merger is the proof of concept. The IPO is the war chest. Those monthly checks are the lease. Here is the part the price tag does not want you to read. Close to a trillion dollars of that valuation rests on orbital data centers that do not yet exist, and on a chip factory, Terafab, that SpaceX's own public filing calls a general framework with no binding deal, one that may not achieve commercial viability. Musk said it on camera. This is not a promise. The largest IPO ever written is priced on a future the filing itself cannot verify. The other side is just as real. Compute in orbit costs about four times what it costs on the ground today, and the curve may not cross for fifteen years. The machines that print the chips are backordered for years. Shedding heat in a vacuum at this scale has never been done. Musk's timelines have a long history of meaning later. And Bezos is racing the same orbit with a constellation of 51,600 satellites of his own. But strip it all away and the trade underneath is one sentence. Earth has run out of room for intelligence, and whoever owns the road off the planet owns whatever gets built next. Call it the most expensive science fiction ever sold, or the first time the map of the internet pointed up.
0:10

AI just hit a wall that no amount of money can move. The planet itself. There is not enough power, water, or land on Earth to build the data centers the AI race now demands. So the most valuable bet in artificial intelligence is no longer a chip company or a model. It is a rocket company. The plan is to leave. In January, SpaceX filed with the FCC to launch up to 1 million solar-powered data center satellites into orbit. In February it bought xAI, the maker of Grok, folding an entire frontier AI lab into a rocket company in the largest corporate merger ever recorded. On June 8 it unveiled the AI1, a compute satellite with a 70-meter wingspan, wider than a Boeing 747, powered by the sun, cooled by the vacuum of space, and wired to the ground through Starlink. Four days later it went public in the largest IPO in history, near 1.77 trillion dollars, touched 2.1 trillion on its first day, raised close to 86 billion, and made one man the first trillionaire alive. Now read the direction of that merger, because it is the whole story. A rocket company bought the AI lab. Not the reverse. For three years everyone assumed the constraint on AI was chips, or data, or talent. It is none of them anymore. It is energy and heat and dirt. The head of Anthropic said his company grew faster than the exponential, 80 times in a single year, and that is exactly why it ran out of compute. The answer was not to build more data centers in Virginia. It was to leave the atmosphere, where the sun never sets and a solar panel does five times the work. The moat in artificial intelligence is no longer the model. It is the launch. And the first rent is already being paid. A rival lab, Anthropic, is reported to be sending roughly 1.25 billion dollars a month to Musk for compute. Google near 920 million. If intelligence moves to orbit, the company that owns the only affordable road there becomes the landlord of the next layer of the internet, the way one bookstore became the landlord of the cloud. The merger is the proof of concept. The IPO is the war chest. Those monthly checks are the lease. Here is the part the price tag does not want you to read. Close to a trillion dollars of that valuation rests on orbital data centers that do not yet exist, and on a chip factory, Terafab, that SpaceX's own public filing calls a general framework with no binding deal, one that may not achieve commercial viability. Musk said it on camera. This is not a promise. The largest IPO ever written is priced on a future the filing itself cannot verify. The other side is just as real. Compute in orbit costs about four times what it costs on the ground today, and the curve may not cross for fifteen years. The machines that print the chips are backordered for years. Shedding heat in a vacuum at this scale has never been done. Musk's timelines have a long history of meaning later. And Bezos is racing the same orbit with a constellation of 51,600 satellites of his own. But strip it all away and the trade underneath is one sentence. Earth has run out of room for intelligence, and whoever owns the road off the planet owns whatever gets built next. Call it the most expensive science fiction ever sold, or the first time the map of the internet pointed up.

Shanaka Anslem Perera โšก

54,506 views โ€ข 2 months ago

CFO: what's with this ad? it has driven ZERO revenue. are you crazy? CMO: actually, it's one of our best performers CFO: in terms of WHAT? CMO: engagements, especially follows CFO: how does that relate to revenue? we're focused on profit. wasting money doesn't support this focus CMO: look at our results. revenue growth is re-accelerating, and our EBITDA margin is nearly doubling. something's working CFO: no way it's because of this ad CMO: i think it isโ€”not just this ad, but the campaign. it's great for our brand and earning high-quality engagements like follows CFO: heartily disagree. our growth is due to COGS savings and new products CMO: true, but this has also contributed significantly. we've measured how these engagements lead to long-term growth in the types of high-margin purchase behaviors we want more of CFO: what are our "highest-margin purchase behaviors"? CMO: purchases from people who search for our brand name or enter our URL directly. brand is likely the primary purchase driver CFO: fair, but how is that different from ad clicks leading to purchases? CMO: it's different. while both are valuable, purchases from ad clicks often focus on product, price, or promotions, whereas branded searches indicate the brand brand is a bigger driver CFO: are you saying revenue from ad clicks is bad? CMO: not at all. but we've relied too much on purchases via paid clicks to drive growthโ€”nearly all our growth came from them in the last two years CFO: really? hmm. but what's your point? CMO: as shown (shares the measurement data), revenue per session and lifetime value from ad clicks are lower than from branded organic searches CFO: where's this data? why haven't i seen it? CMO: i send it weekly in slack. CFO: (embarrassed) ummm, busted? CMO: all goodโ€”maybe now you'll open it. this campaign helps balance our approach, generating an emotional connection and reaching people we'd never hit with our conversion-optimized spend. it fills the funnel in a measurable, precise way. and yes, as an added benefit, it increases our direct response efficiency and effectiveness, but the under-appreciated and more important benefit is that it has measurably driven more of those high-margin purchase behaviors we want CFO: how do you know? CMO: we see how follower growth drives incremental revenue from organic search, direct sessions, and organic social referrals over the following six months. we can quantify revenue and ROAS just like our direct response campaigns CFO: why haven't i seen this data? CMO: it's in the same report i send you weekly CFO: (scans report for two minutes... awkward silence) this is awesome. keep doing what you're doing CMO: (surprised) excuse me? CFO: actually, spend more CMO: well, look at youโ€”this is quite the surprise. appreciate the excitement, but i'm testing and scaling in a way that aligns with the process we follow CFO: let's speed up that process a bit, shall we? CMO: gladly
0:12

CFO: what's with this ad? it has driven ZERO revenue. are you crazy? CMO: actually, it's one of our best performers CFO: in terms of WHAT? CMO: engagements, especially follows CFO: how does that relate to revenue? we're focused on profit. wasting money doesn't support this focus CMO: look at our results. revenue growth is re-accelerating, and our EBITDA margin is nearly doubling. something's working CFO: no way it's because of this ad CMO: i think it isโ€”not just this ad, but the campaign. it's great for our brand and earning high-quality engagements like follows CFO: heartily disagree. our growth is due to COGS savings and new products CMO: true, but this has also contributed significantly. we've measured how these engagements lead to long-term growth in the types of high-margin purchase behaviors we want more of CFO: what are our "highest-margin purchase behaviors"? CMO: purchases from people who search for our brand name or enter our URL directly. brand is likely the primary purchase driver CFO: fair, but how is that different from ad clicks leading to purchases? CMO: it's different. while both are valuable, purchases from ad clicks often focus on product, price, or promotions, whereas branded searches indicate the brand brand is a bigger driver CFO: are you saying revenue from ad clicks is bad? CMO: not at all. but we've relied too much on purchases via paid clicks to drive growthโ€”nearly all our growth came from them in the last two years CFO: really? hmm. but what's your point? CMO: as shown (shares the measurement data), revenue per session and lifetime value from ad clicks are lower than from branded organic searches CFO: where's this data? why haven't i seen it? CMO: i send it weekly in slack. CFO: (embarrassed) ummm, busted? CMO: all goodโ€”maybe now you'll open it. this campaign helps balance our approach, generating an emotional connection and reaching people we'd never hit with our conversion-optimized spend. it fills the funnel in a measurable, precise way. and yes, as an added benefit, it increases our direct response efficiency and effectiveness, but the under-appreciated and more important benefit is that it has measurably driven more of those high-margin purchase behaviors we want CFO: how do you know? CMO: we see how follower growth drives incremental revenue from organic search, direct sessions, and organic social referrals over the following six months. we can quantify revenue and ROAS just like our direct response campaigns CFO: why haven't i seen this data? CMO: it's in the same report i send you weekly CFO: (scans report for two minutes... awkward silence) this is awesome. keep doing what you're doing CMO: (surprised) excuse me? CFO: actually, spend more CMO: well, look at youโ€”this is quite the surprise. appreciate the excitement, but i'm testing and scaling in a way that aligns with the process we follow CFO: let's speed up that process a bit, shall we? CMO: gladly

Preston Rutherford

12,672 views โ€ข 1 year ago