Venture Capital
A federal judge in California dismissed xAI’s lawsuit accusing OpenAI of stealing trade secrets. Judge Rita Lin said xAI can refile but has not alleged misconduct by OpenAI itself.
The suit claimed former xAI employees took Grok source code and confidential information when moving to OpenAI. The court said xAI did not present facts showing OpenAI induced theft or used any stolen material.
The case is part of a broader legal fight between Elon Musk and OpenAI, where Musk is seeking up to $134.5B in damages over OpenAI’s shift to a for profit structure.
For now, the trade secrets claim is off the table.
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Robinhood has launched a $1B closed end fund, selling 40M shares at $25 each. The vehicle will give retail investors exposure to private companies including SpaceX, Databricks and Stripe.
The fund already holds stakes in Databricks, Oura and Revolut, and has agreed to invest in Stripe. It charges a 2% management fee, reduced to 1% for the first six months. There are no performance fees and no minimum investment.
As a closed end fund, shares can trade at a premium or discount to net asset value depending on sentiment and liquidity.
Robinhood is pushing deeper into private markets as traditional IPO access remains limited.
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Meta plans to buy up to $100B worth of AMD chips in a multiyear deal, enough to drive about 6 gigawatts of data center demand. AMD issued Meta a performance based warrant for up to 160M shares, roughly 10% of the company, at $0.01 each. The final tranche depends on AMD stock reaching $600. Shares closed at $196.60 on Monday.
Meta will purchase AMD’s MI540 GPUs and its latest CPUs. AMD says CPU demand is surging as AI inference scales and companies seek alternatives to Nvidia.
Meta has pledged at least $600B in U.S. AI infrastructure over the next several years, including $135B in projected capex for 2026 and a $10B data center campus in Indiana.
The AI arms race is shifting from single supplier dependence to strategic chip alliances.
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Serval was valued at $235M in August 2025. In December it announced a $75M round at a $1B valuation led by Sequoia. According to WSJ, Sequoia actually invested at a $400M valuation.
The tactic: offer the lead investor a lower valuation, then close additional capital days later at a higher one. In Serval’s case, Sequoia came in at $400M, while the headline round priced the company at $1B. On paper, the lead’s stake immediately marked up.
WSJ cites another case, Aaru, where part of the round was done at $450M and part at $1B. Carta data shows around 20 similar deals in the past year, with activity rising in late 2025.
As the AI funding market cools, valuation engineering is becoming part of the playbook.
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Uber CFO Prashanth Mahendra-Rajah purchased 22,400 shares at about $71.25 per share. The filing was made on Feb 24, 2026. The transaction was an open market buy, not options.
The stock is trading roughly 30% below its recent highs.
When a CFO deploys personal capital at these levels, it stands out.
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Jack Dorsey announced Block will reduce headcount from over 10,000 to under 6,000 employees. More than 4,000 people are leaving or entering consultation.
Dorsey said the move is not due to weak business performance. Instead, he pointed to AI tools and smaller, flatter teams enabling a new way of building and running the company. He chose a single large cut over gradual reductions.
Severance includes 20 weeks of pay plus one week per year of tenure, six months of healthcare, vested equity through May, and $5,000 in transition support.
This is one of the first large scale workforce reductions explicitly tied to an AI-driven operating shift.
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Media is too big
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Nvidia CEO Jensen Huang said the idea of a “SaaSpocalypse” is wrong. In his view, AI agents will not replace software tools but operate on top of them.
He argued that value will accrue to the platforms and workflows agents integrate with, rather than triggering a full wipeout of SaaS vendors.
The shift may be additive, not destructive, for existing software stacks.
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Anthropic refused to fully accept U.S. Department of Defense terms and stated Claude would not be used for autonomous weapons or mass surveillance. The Pentagon then terminated a reported $200B contract and labeled the company a supply chain risk.
Federal agencies are required to phase out Claude within 6 months. President Trump publicly criticized Anthropic and called for agencies to stop using its technology.
At the same time, OpenAI signed a new agreement with the Department of Defense to deploy its models inside the Pentagon’s secure cloud network for national security use. OpenAI will form a Forward Deployed Engineer team to support on site deployment.
Both companies reportedly insisted on restrictions around mass surveillance and human oversight in use of force decisions. Only one of them kept the contract.
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Venture Capital
Just In: OpenAI raises $110 billion at a $730 billion valuation. ✔️ Subscribe on @venture
OpenAI has completed a $110B private funding round at a $730B pre money valuation, implying about $840B post money. Part of the funding will come in services rather than pure cash.
SoftBank and Nvidia committed $30B each. Amazon committed $50B plus a strategic partnership. Of Amazon’s amount, $15B is available upfront, while $35B is tied to conditions such as OpenAI using a required volume of Trainium chips.
The new Nvidia investment appears to replace the previously discussed $100B agreement between the companies. SoftBank financed part of its commitment by selling $5.8B in Nvidia shares.
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The Wall Street Journal reports that US Central Command used Claude during recent strikes on Iran.
The system supported intelligence assessments, target identification, and combat scenario modeling.
Formally, this does not violate Trump’s order. Agencies have 6 months to phase out Claude.
The timing stands out.
On Friday, Anthropic refused to accept Pentagon terms. The same day, Trump urged agencies to stop using Claude and called Anthropic “radical.”
Hours later, Claude was used in a live military operation.
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Amid the conflict between Anthropic and the Pentagon, Claude climbed to #1 in the US App Store.
Social feeds filled with screenshots of users canceling ChatGPT and switching payments to Anthropic.
The surge followed public tension around defense contracts and political criticism.
The episode pushed Claude into mainstream attention at scale.
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Anthropic’s recent research on AI agents shows that 49.7% of agent tool calls are in software engineering. The next category, back office automation, is at 9.1%. Most other domains sit below 5%.
Healthcare is at 1.0%, legal at 0.9%, finance and accounting at 4.0%. Many industry verticals barely register in current agent deployment.
YC’s Garry Tan argues this leaves large parts of the market underpenetrated. While software agents are crowded, sector specific applications remain wide open.
The data suggests the next wave may be vertical, not horizontal.
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OpenAI dismissed an employee for insider trading tied to bets on Polymarket. It appears to be the first confirmed big tech firing linked to prediction markets.
Before the launch of the ChatGPT browser, 13 new Polymarket accounts appeared 40 hours ahead of release.
Together they placed $300k on the correct outcome and reportedly made a strong return.
A similar case happened in 2023 during Sam Altman’s removal, when a new trader bet on his comeback and earned $16k before disappearing.
Insider concerns around product launch dates had been building. Prediction markets are starting to test corporate information control.
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SpaceX already offers satellite connectivity for smartphones through T-Mobile, with current speeds around 4 Mbps. That is enough for text messaging and low-quality calls.
By the end of 2027, Starlink is expected to upgrade the network to peak speeds of up to 150 Mbps. Real-world speeds will be lower, but high enough for video calls and content streaming.
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A lot of teams are building guardrails, adapters, and workflows on top of today’s models. It works. Revenue grows. Real users.
The bet is that base models will always need that extra layer. But if future versions handle hallucinations, memory, and routing on their own, that middle layer shrinks fast.
The turkey looks fine for 1,000 days. The risk sits on day 1,001.
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Adobe:
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Elon Musk plans to claim in court that GPT-4o already qualified as AGI. The argument is part of his lawsuit accusing OpenAI of abandoning its original nonprofit mission and misleading him, with claimed damages of $134B.
If GPT-4o is recognized as AGI, Musk argues that OpenAI would have concealed AGI from the public and commercially exploited it. That could void OpenAI’s licensing deal with Microsoft, which applies only to pre-AGI systems, and trigger charter terms requiring the models to be made open.
Musk also links the claim to the 2023 board’s removal of Sam Altman and its later restructuring, arguing financial incentives discouraged declaring AGI. The next court hearing is set for late April.
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Global venture funding reached $189B in February, according to Crunchbase. It is the highest monthly total on record.
The spike was driven by three deals.
Together they accounted for 83% of all funding. That leaves $33B for the rest of the market.
AI startups attracted $171B, or 90% of total funding. At the same time, deal count fell to 503 rounds, the lowest since early 2024. Outside AI, funding totaled $18B, and only $2B if Waymo is excluded.
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