Cognitive Capital

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Cognitive Capital

Cognitive Capital

@cognitive_cap

Allocating into inevitabilities - AI, robotics, digital assets & RE. Own & Operate $1B+ in multifamily & industrial projects.

Katılım Aralık 2022
579 Takip Edilen126 Takipçiler
Za
Za@ZaStocks·
The rally we’re likely going to get when this selling is over will make this choppy period worth it if you can just stay disciplined through this. The best rallies and trends come after downturns off bottoms and pullbacks. Opportunity is coming.
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Jonathan Goldowsky
Jonathan Goldowsky@jonathan_mg27·
Spent time in Afton, Texas this week with investors touring our Helios data center campus! The pace and scale of construction is incredible, with more than 1,000 workers bringing the build to life. This is what building one of the largest front-of-the-meter data center campuses in North America looks like. And this is just Phase I 👀 $GLXY
Jonathan Goldowsky tweet mediaJonathan Goldowsky tweet media
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Simon
Simon@SimonSaysBTC·
Added some $GLXY here. Let's see if @CillianBraille is right about $20 holding.
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Cognitive Capital
Cognitive Capital@cognitive_cap·
@ZaStocks $RKLB & $ASTS are leaders in the sector and poised to benefit the most.
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Za
Za@ZaStocks·
Can’t vibe code rockets and SpaceX is planning to IPO at a $1.5T+ valuation later this year. Monitoring the situation on space stocks.
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Cognitive Capital@cognitive_cap·
@RHouseResearch $UBER won't be able to compete with $TSLA's Robotaxi program once it's at scale. The cost per mile $TSLA will be able to achieve will simply be too low for $UBER to compete against.
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Rittenhouse Research
Rittenhouse Research@RHouseResearch·
No position or strong views on $UBER generally but investing $1.25B in Rivian $RIVN reeks of desperation...
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Stoic Cap
Stoic Cap@TheStoicCapital·
The stoic port prevails. $KRKNF $ONDS $TE $ASTS Any stocks I should add?
Stoic Cap tweet media
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Cognitive Capital
Cognitive Capital@cognitive_cap·
@BlackScholesMan Curious on the ways you’re getting exposure. I’ve been scaling into Kraken Robotics $KRNF $PNG - recommend taking a look.
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Mike
Mike@BlackScholesMan·
Anduril has effectively became the gate keepers for u.s. counter drone tech. Either your solution integrates with them or it doesn't. Investing accordingly
Anduril Industries@anduriltech

The @DeptofWar's JIATF-401 has awarded Anduril an $87M contract establishing Lattice as the United States' preferred tactical counter-drone command and control software. This is the first task order in a $20B, 10-year Enterprise Agreement with the @USArmy. anduril.com/news/jiatf-401…

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Shrimp Among Whales
Shrimp Among Whales@Shrimp_a_Whales·
It's never as good as it feels, and it's never as bad as it seems 🌌 $GLXY
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Cognitive Capital@cognitive_cap·
@Shrimp_a_Whales Agree that getting a RE vet would be valuable. Could be helpful when it comes to expediting the permit process or securing trade contracts for construction.
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Cognitive Capital
Cognitive Capital@cognitive_cap·
I plan to deploy a fleet throughout a few US states when able.
Teslaconomics@Teslaconomics

I plan on owning my own Tesla Robotaxi fleet one day. And the more I run the numbers, the more I realize this new business could become one of the most powerful income opportunities I've ever seen. This is how I'm thinking about it. Based on many analyst models and Tesla’s long-term vision, a reasonable base case assumption is about ~$30,000 per year in net profit per Robotaxi to the owner. This is after things like Tesla’s platform fee, charging, tires, maintenance, insurance, and cleaning. Of course, the network is still early and Tesla is just beginning to roll this out in pilot programs in a few cities, so there’s no official real-world owner earnings yet... but using reasonable assumptions around utilization, pricing per mile, and operating costs, the math starts to get really interesting. If one Robotaxi can earn around $30,000 per year, here’s what a fleet might look like: • $100,000 per year → about 4 Robotaxis • $500,000 per year → about 17 Robotaxis • $1,000,000 per year → about 34 Robotaxis It may sound a bit crazy at first, but when you break it down, it starts to make more sense. These vehicles could potentially drive 50,000 to 100,000+ miles per year in high demand areas. If the economics land somewhere around $0.25-$0.50 profit per mile after all costs, you end up right around that ~$30k per vehicle per year range. And remember, the Tesla’s Robotaxi network is going to work a lot like Airbnb for cars. You add your vehicle to the network, Tesla handles the software, routing, payments, and rider experience, and they take a platform fee (often modeled around 25-35%). The owner keeps the rest after operating costs. Another thing that makes this interesting is the expected cost of the vehicles themselves. Tesla has talked about the purpose-built Cybercabs costing roughly $25k-$30k and Elon told me production is starting in 1 month! If that’s even close to reality, a fleet capable of generating around $1 million per year could theoretically cost somewhere around $850k-$1M in vehicles. That ROI is pretty freakin good! Now to be clear, none of this is guaranteed. I'm just thinking out loud and sharing it with you... a lot still depends on regulations, how fast unsupervised FSD scales, demand in each city, insurance costs, and how Tesla structures the network. But if the system works the way Elon has described it for years, owning a Robotaxi fleet could become one of the most powerful forms of passive income I've ever seen. And I plan on sharing the numbers with everyone on 𝕏 when the day comes. Personally, that’s why I’m paying such close attention. Bc one day, owning a fleet of autonomous Teslas working for me 24/7 might be the modern version of owning a rental property, except instead of tenants, you’ve got robots driving people around all day while you sleep. This next book of Tesla is going to be so exciting!

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Cognitive Capital
Cognitive Capital@cognitive_cap·
@ChrisSpoke Problem is most of their comments are subjective. But yes I agree it’ll speed up timelines.
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Chris Spoke
Chris Spoke@ChrisSpoke·
Last month, Toronto’s Planning and Housing Committee voted for a review and workplan on "updating the effectiveness of the Committee of Adjustment". That workplan is to include "improving customer service, streamlining decision-making, improving timelines, leveraging technology, simplifying submission requirements, and supporting faster delivery of housing, while maintaining the integrity of the development review process". A big place to start is zoning review. Before you even get to a COA hearing, City staff review your plans and identify variances from the zoning bylaw. That step typically takes about six weeks. Then getting a hearing date often takes another six to twelve weeks. Given the current state of AI, that first step could likely be cut from six weeks to six minutes. Comparing architectural drawings against bylaw requirements is exactly the kind of task AI is well suited for. I’m both a real estate developer and the owner of a software product agency, so I’m unusually well suited to help build this. Here's what I propose. I will build the City a tool for free that ingests plans and outputs a list of variances. We'll start with multiplexes and apartment buildings, where the zoning requirements are relatively straightforward, and run it in parallel with human review until accuracy is confirmed. We can then expand it across application types. I’d bet that within two to three months, it would exceed human review on speed, consistency, and accuracy. Zoning review in six minutes instead of six weeks would be a major improvement in customer service, timelines, leveraging technology, and supporting faster delivery of housing, while maintaining the integrity of the development review process. @oliviachow 1. secure.toronto.ca/council/agenda… 2. toronto.ca/services-payme…
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Cognitive Capital
Cognitive Capital@cognitive_cap·
@robertbenzie Expansion & modernization of the airport is a no brainer. Should have happened years ago. Unfortunate how Torontonians consistently plague themselves of growth.
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Robert Benzie
Robert Benzie@robertbenzie·
NEW: Toronto Port Authority, which owns Billy Bishop Airport, backs Premier Doug Ford’s call for an extended runway to accommodate jets on the island airfield. thestar.com/politics/provi…
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Cognitive Capital
Cognitive Capital@cognitive_cap·
Less obvious 2nd-order effect of war: airline stocks at major risk. Jet fuel has strict storage needs, limiting bulk reserves. Many global airlines use fuel hedging programs for this reason but most US carriers ended theirs in 2025. Prolonged Strait of Hormuz closure & oil shortage would hit airlines far harder than other sectors.
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Cognitive Capital
Cognitive Capital@cognitive_cap·
@MitchMartan98 $GLXY fundamentally is undervalued but historically has always been a beta to $BTC. Your right that Galaxy will outperform if $BTC has bottomed but I don't think that's happened yet.
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Mitchell Martan
Mitchell Martan@MitchMartan98·
$GLXY That February 26th move in hindsight looked like total capitulation when it wicked down to high $16's quickly... now already back above $22 here and looks strong. If $BTC has indeed made a bottom then Galaxy along with other crypto adjacent names will be the outperformers moving forward. It's been tough sledding so far but anyone who is a true bull knows that the business has never been better and it's still extremely cheap, worst looks to be behind us!
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