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The official channel of V3V Ventures. We share updates on our investments, portfolio companies, and fund activities.

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πŸš€ Amazon buys Globalstar for $11.6B to build direct-to-device satellite network

Amazon will acquire Globalstar for about $11.6B, offering $90 per share in cash or stock. The deal implies a 117% premium and is expected to close in 2027.

The acquisition adds satellites, spectrum licenses, and infrastructure to Amazon’s Leo network. The goal is to launch direct-to-device connectivity starting in 2028. Globalstar currently operates about 24 satellites and already powers Apple’s Emergency SOS, with Apple holding a 20% stake.

Amazon has launched over 240 satellites so far, still far behind Starlink with more than 10,000 satellites and over 9M users.

The deal gives Amazon both capacity and spectrum to compete in direct-to-cell services.

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πŸ“ˆ Allbirds pivots from shoes to GPU rental after raising $50M

Allbirds is shifting its business to GPU infrastructure after struggling in footwear. The company faced rising losses, falling demand, and store closures as the brand lost traction.

It is now selling assets and raising $50M to buy GPUs for rental. The plan is to enter the GPU-as-a-service market.

After the announcement, Allbirds stock jumped more than 400%.

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πŸš– Uber breaks its asset-light model with $10B robotaxi push

Uber built its business on not owning assets. Cars were never on its balance sheet, and drivers handled everything themselves. Now that model is changing.

The company is committing $10B to robotaxi development and fleet purchases, with another $7.5B reserved for expansion. The plan is to deploy thousands of autonomous vehicles as a starting point.

Autonomy forces a different structure. To run robotaxis, Uber needs to own and operate the fleet.

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πŸ’»οΈ Jensen Huang says China can build Claude-level AI and calls for cooperation

In a new interview with Dwarkesh Patel, NVIDIA CEO Jensen Huang said China already has enough compute and energy to train models at the level of Claude Mythos. The AI race is shifting, and the US needs to stay open while holding its lead.

Export restrictions became a key factor. Limits on chip supply pushed China to accelerate its own ecosystem, including Huawei and SMIC, increasing independence instead of slowing progress.

Demand for TPU and Trainium is largely tied to Anthropic. Early deals with Amazon and Google locked the company into their infrastructure, creating artificial demand for these chips. Nvidia did not invest at that stage, which Huang called a missed opportunity.

The balance between policy and technology is starting to shape the market.

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πŸš€πŸ”‹ Alphabet could make $100B on SpaceX IPO stake

Alphabet’s early investment in SpaceX may turn into a $100B windfall. A new filing shows Google held 6.11% at the end of 2025, likely diluted to around 5% after the xAI merger.

At a $2T IPO valuation, that stake would be worth about $100B. Even a 0.05% holding could make an investor a billionaire at that level.

SpaceX is targeting a listing that could raise up to $75B, potentially the largest IPO ever.

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πŸ“ˆ Madison Air raises $2.23B IPO

Madison Air Solutions raised $2.23B in its US IPO at a $13.2B valuation.

It is the largest industrial IPO of the century.


The company builds ventilation, air quality, and cooling systems for data centers, commercial, and residential use. Its portfolio includes Nortek Air Solutions and Big Ass Fans.

Demand is driven by data center growth, where cooling has become a core constraint.

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πŸ“± Snap cuts 1,000 jobs as AI replaces routine work

Snap will lay off about 1,000 employees, around 16% of staff, and close more than 300 open roles. The move follows pressure from activist investor Irenic Capital, which holds about 2.5%.

The company says AI now generates over 65% of new code, allowing smaller teams to handle core work. Snap expects more than $500M in annual cost savings by the second half of 2026.

The cuts come as Snap continues investing in products like its AR glasses, which have already cost over $3.5B and remain under scrutiny.

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⚑️ Investor turns $225M into $5.5B betting on AI power bottleneck

Leopold Aschenbrenner explained the logic behind his largest bet. His Bloom Energy position alone is now close to $2B after Oracle’s 2.8 GW fuel cell deal.

πŸ–± 2022: GPT-4 cluster used ~10 MW and cost ~$500M
πŸ–± 2024: ~100 MW, around 100,000 GPUs, cost in the billions
πŸ–± 2026: ~1 GW, comparable to a nuclear reactor
πŸ–± 2028: projected ~10 GW
πŸ–± 2030: projected ~100 GW, over 20% of US electricity output

AI compute has been scaling roughly every 12–18 months. Training is only part of the demand, inference adds multiples on top.

US electricity production grew only ~5% over the last decade. Grid constraints, transformer shortages, and delayed data centers are already visible.

The bet: generate power directly at data centers with fuel cells, bypassing the grid.

The constraint is shifting from compute to electricity.

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In 2000, Netflix wanted to sell itself to Blockbuster for $50 million.

Blockbuster laughed at them.

Today, Netflix generates $50 million in profit in less than a day.

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Real?

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πŸ‘Ύ OpenAI loses Kevin Weil and two other leaders amid internal reshuffle

Kevin Weil is leaving OpenAI along with two other senior leaders. He served as VP of research and previously as chief product officer, and recently led the OpenAI for Science initiative.

The company is scaling back side projects, and that team has been integrated into other units. The shift appears to be tied to his departure.

Bill Peebles, head of Sora, and Srinivas Narayan, CTO for enterprise applications, are also leaving.

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🧩 Microsoft plans to build frontier AI models by 2027

Microsoft said it aims to develop its own frontier models by 2027 to compete with OpenAI and Anthropic.

The company no longer wants to rely only on external AI providers. A previous agreement with OpenAI restricted Microsoft from building large general-purpose models in exchange for access to ChatGPT.

That restriction was removed last year after the contract was revised.

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🟒 OpenAI buys Hiro to build personal finance layer inside ChatGPT

OpenAI acquired personal finance startup Hiro, a tool that tracks income, expenses, and debt and generates dashboards and recommendations. The deal closed in October 2025, but was disclosed only now. The ~10-person team joins OpenAI, and Hiro shuts down on April 20 to become a native feature.

This follows another October deal for finance assistant Roi. OpenAI is building vertical layers inside ChatGPT, adding finance alongside earlier efforts like healthcare.

πŸ–± Finance is a core agent use case. Tasks like paying bills or checking subscriptions require action, not just answers
πŸ–± Domain expertise matters. Financial logic and regulation are easier to acquire through teams than build from scratch
πŸ–± User data becomes richer. Spending and income data provide strong signals for personalized agents

There are constraints. Financial advice is tightly regulated, and existing fintech players are building their own AI tools.

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🍏 Tim Cook steps down as Apple CEO after 15 years

Apple will replace Tim Cook with John Ternus on September 1. Cook becomes executive chairman after leading the company since 2011.

Ternus has spent 25 years at Apple and currently leads hardware engineering. He worked on iPhone, iPad, AirPods, Apple Watch, and the shift to in-house chips.

The leadership change puts a product-focused executive in charge as Apple looks for new growth beyond the iPhone and pushes deeper into hardware and AI integration.

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πŸ€–πŸ¬ Amazon to Invest $25B in Anthropic

Amazon will invest $25 billion in Anthropic to support its infrastructure growth, which is currently struggling to keep pace. The initial payment of $5 billion will be made immediately, with the remaining $20 billion contingent on meeting commercial KPIs.

Anthropic plans to spend over $100 billion on AWS infrastructure over the next 10 years.

This deal comes just two months after Amazon agreed to invest up to $50 billion in rival OpenAI.

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😺 Altman faces investor pressure over conflicts tied to OpenAI deals

WSJ reports that Sam Altman’s personal investments are clashing with OpenAI decisions. In the Helion case, he pushed OpenAI to join a $500M round at a $35B valuation, a 6x jump, despite the reactor promised for 2024 not being built.

Helion develops fusion energy. OpenAI declined to invest but signed a deal to buy up to 50 GW by 2035, about 25 Hoover Dams. Helion now uses this contract to raise a new round, increasing Altman’s stake.

Similar cases involved Stoke Space and Merge Labs, where Altman also had stakes. Investors are now questioning his role ahead of a potential IPO, with Bret Taylor named as a possible successor.

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😞 SpaceX Eyes $60B Acquisition of Cursor

SpaceXAI and Cursor have announced a strategic partnership aimed at developing the world’s leading AI for programming and intellectual tasks.

The deal effectively prevents Cursor from being acquired by competitors.

Under the agreement, SpaceX may either fully acquire Cursor for $60 billion or pay $10 billion for a joint collaboration, with a decision expected by the end of this year.

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πŸ’  Tesla puts $2B into SpaceX alongside earnings beat

Tesla reported Q1 EPS of $0.41 vs $0.37 expected, with revenue at $22.39B, up 16% year over year. The company also disclosed a $2B equity investment in SpaceX.

Tesla builds electric vehicles, energy systems, and AI infrastructure. Automotive revenue reached $16.2B, while services grew 42%. Energy revenue declined 12%.

The SpaceX investment was funded from $44.7B in cash and ongoing free cash flow. Tesla is also expanding AI compute and preparing production for new products.

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🐳 DeepSeek targets $300M round at $10B valuation

DeepSeek is in talks to raise at least $300M at a $10B valuation in its first external funding round. The company had previously declined offers from major Chinese VCs and tech firms.

DeepSeek builds AI models and gained attention with low-cost systems that challenged industry pricing. Its newer models were trained on Nvidia’s most advanced chips despite export restrictions.

The shift reflects rising costs to train and run advanced AI systems as the industry moves toward reasoning and agent-based models.

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