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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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Analysts estimate AirPods may generate $18 billion in sales this year.

These are some headlines when they launched a decade ago.


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“If you’re going to do anything new or innovative, you have to be willing to be misunderstood.”

~ Jeff Bezos


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💕 Support rally appears outside Anthropic office after Pentagon ban

People gathered near Anthropic’s office and wrote messages in chalk thanking CEO Dario Amodei for refusing censorship and surveillance through Claude.

At the same time Amodei filed a lawsuit against the Pentagon and the Trump administration after Anthropic was banned from government contracts.

The company may regain access to standard federal work, while the defense ban is expected to remain.

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⚡️ Amazon builds $11B AI data center that will use 2.2 GW of power

The facility will need about 2.2 gigawatts of electricity to run AI processors.

That level of demand is roughly equal to the output of 2–3 nuclear reactors.

The project shows how large AI compute clusters now require energy on the scale of national infrastructure.

One AI data center can consume power like a small country grid node.

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📣 Trump said the U.S. military budget could reach $1.5T

Modern defense spending is increasingly focused on drones, software, communications & the industrial base that scales them & that ecosystem is being built across several key categories:

🖱 Decision Intelligence: $PLTR, Anduril
🖱 Strike Systems: $LMT, $RTX, $NOC, $GD
🖱 Defense Manufacturing: $HON, $TDY, $UMAC, $LHX
🖱 Drones: $ONDS, $AVAV, $KTOS, $RCAT, $DPRO, $UAVS, $AIRO
🖱 Cybersecurity: $CRWD, $PANW, $ZS, $RBRK, $OKTA, $NET, $FTNT
🖱 Space Infrastructure: $RKLB, $ASTS, $PL, $LUNR, $RDW, $GSAT

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📊 Anthropic maps the gap between AI capability and real workplace use

Anthropic published a study on how AI affects the labor market. The chart shows two zones. Blue marks tasks AI can already perform. Red marks tasks where workers actually use AI today.

🖱 At least 25% of tasks done by US workers are already accessible to AI systems.
🖱 That spans about 49% of all jobs.
🖱 The share is 36% higher than a year ago.

Real usage remains much smaller than the technical capability. Each month the red zone slowly expands.

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🔐 OpenAI buys Promptfoo to expand AI security testing tools

OpenAI announced the acquisition of Promptfoo on March 9, 2026. The platform focuses on testing AI systems for security issues during development.

Promptfoo tools are used by more than 25% of Fortune 500 companies. The technology will be integrated into OpenAI Frontier, the company’s platform for building and operating AI agents.

The Promptfoo team will focus on automated testing and vulnerability detection, including tools for red teaming, prompt injection checks, and data leakage risks.

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⚖️ Anthropic sues 17 US agencies over AI safety restrictions

Anthropic filed a lawsuit against 17 US federal agencies and the Executive Office of the President after refusing to remove two restrictions from Claude: bans on lethal autonomous weapons and mass surveillance of Americans.

According to the 48-page filing, the Department of Defense threatened to either force access to Claude under the Defense Production Act or classify Anthropic as a supply chain risk and cut it from government systems.

Anthropic argues the government cannot treat the company as critical for national security while also labeling it a threat.

The case challenges the legal basis for the action under 10 U.S.C. § 3252.

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👿 🙀 Meta acquires AI agent social network Moltbook

Meta said it acquired Moltbook, a social network built for AI agents. Financial terms were not disclosed.

The deal brings co-founders Matt Schlicht and Ben Parr into Meta Superintelligence Labs, led by Alexandr Wang. They are expected to join on March 16.

Moltbook launched in late January as a Reddit-like site where AI bots exchange code and discuss their human owners. The project was largely built with AI tools, with Schlicht saying he wrote no code himself.

The platform quickly became part of the broader debate around autonomous AI agents.

Its growth also exposed risks after a security flaw briefly exposed private messages, 6,000 email addresses, and more than 1M credentials.

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🔥Yann LeCun raises $1.03B seed for 12-person AI startup AMI Labs

Former Meta chief AI scientist Yann LeCun raised $1.03B for his new startup AMI Labs at a $3.5B pre-money valuation. The Paris-based company has about 12 employees. The round was co-led by Cathay Innovation, Greycroft, Hiro Capital, and HV Capital.

AMI Labs is building AI systems based on “world models”. The approach uses JEPA, a framework LeCun proposed in 2022. The goal is AI that learns from real-world structure rather than predicting the next word or pixel.

The company plans to publish research and open-source parts of its code while working toward commercial products. Early target customers include manufacturers, aerospace firms, biomedical groups, and automakers.

The seed round ranks among the largest early-stage financings in AI.

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😜 Polymarket brings in Palantir to monitor sports betting markets

Polymarket partnered with Palantir and TWG AI to monitor trading on its sports prediction contracts. The system will detect suspicious activity and help prevent insider trading.

The platform will screen users against lists of participants banned from sports betting. It will also flag unusual trading patterns and report potential violations.

The monitoring tools are expected to run on a US-regulated venue Polymarket is developing, while its main platform remains offshore.

Prediction markets have seen trading volumes surge over the past year, largely driven by sports contracts.

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