🤖 Anthropic released Opus 4.8

The new version improves coding, agent workflows, and reasoning performance while keeping the same pricing: $5 per million input tokens and $25 per million output tokens.

Claude Code now supports dynamic workflows. The model can break large tasks into parts, run parallel subagents, and review results before responding.

Anthropic also says Fast mode for Opus 4.8 is 2.5x faster and 3x cheaper than previous models. The company claims the model is also about 4x less likely to miss bugs in its own code.

✔️ @venture

🚖 Uber questions AI spending amid rising costs

Uber's COO said heavy AI spending is hard to justify as token consumption grows without clear consumer benefits. The company used its annual AI budget in just 4 months.

Nvidia's VP noted their compute costs now exceed employee expenses, showing AI is becoming more expensive than human labor.

✔️ @venture

🤖 Anthropic nears $1T valuation after $65B raise

Anthropic closed a $65 billion Series H round, raising its valuation to $965 billion from $380 billion months ago.

It reported an annual recurring revenue of $47 billion, surpassing peers including OpenAI, valued at $852 billion.

✔️ @venture

🚫 China is restricting overseas travel for top AI engineers

China has started limiting foreign travel for AI researchers and engineers working at private companies like Alibaba and DeepSeek, according to Bloomberg.

People involved in advanced AI work now reportedly need government approval before leaving the country. The restrictions target specialists considered strategically important for China’s AI race with the US.

The move shows how seriously Beijing now treats AI talent and research. Engineers are increasingly being viewed less like employees and more like critical infrastructure.

The global AI race is starting to look closer to semiconductor policy than normal tech hiring.

✔️ @venture

$2,600 invested in Tesla’s IPO is worth more than $1 million today.

✔️ @venture

“When people start telling you you’re crazy, you just might be on to the most important innovation in your life.”

~ Larry Ellison

✔️ @venture

🔋 Google engineer allegedly made $1.2M using insider information on Polymarket

The US Department of Justice charged Google engineer Michele Spagnolo with making $1.2 million from prediction market bets using non-public company information.

According to prosecutors, Spagnolo used advance knowledge of Google’s annual Year in Search rankings to place bets on Polymarket before the results were published. He reportedly wagered more than $2.7 million in total.

Google said the information came from internal marketing materials that were widely accessible to employees, but using it for betting was prohibited.

✔️ @venture

⚖️ AI is pushing more people to sue without lawyers

MIT and USC researchers analyzed 4.5M federal cases and 46M PACER records to study how generative AI is changing US courts.

For almost 20 years, only ~11% of federal cases were filed without attorneys. In 2025, that jumped to 16.8%.

The increase is strongest in paperwork-heavy cases. AI helps people draft complaints, handle legal formatting, and navigate filings without paying a lawyer.

Courts are already seeing the effect. These cases are not resolved faster, but they generate far more activity inside the system. In the first 180 days, court filings and procedural records in self-represented cases rose 158% versus the pre-AI period.

Researchers also found AI-written complaints rising fast: from ~1% in 2023 to 18% by early 2026.

✔️ @venture

Silicon Valley predicted the 2026 AI crisis perfectly.

✔️ @venture

🤖 Anthropic takes the first step toward an IPO

Anthropic confidentially filed a draft S-1 with the SEC, marking the company's first official move toward a public listing.

The filing does not mean an IPO is imminent. Anthropic said any offering will depend on SEC review and market conditions. The company has not disclosed the number of shares or a target valuation.

The filing comes as AI companies attract record investor interest.

Some market observers are already speculating that Anthropic could debut with a valuation above $1.8 trillion, though the company has not provided any guidance.

✔️ @venture

Most business owners do not know their credit card likely comes with purchase protection, extended warranties, and trip insurance they are already paying for.

The bank buries it in 40 pages on purpose.
The perks are real.

The hope is you never read far enough to use them.

✔️ @venture

💰 Alphabet plans an $80B raise to fund AI infrastructure

Alphabet announced an $80 billion equity raise as it ramps up spending on data centers, compute capacity, and AI hardware. Berkshire Hathaway will anchor the deal with a $10 billion investment.

The company expects capital expenditures to reach $180–190 billion in 2026 as demand for AI continues to outpace available compute.

The financing includes a $10 billion Berkshire placement, $30 billion in public offerings, and a $40 billion program that will gradually sell shares into the market over time.

The AI race is increasingly becoming a capital race. The companies with the deepest pockets can build the most compute.

✔️ @venture

⚡️ Victoria's Secret Shares Jump 50% After Ticker Change

Shares of Victoria's Secret surged nearly 50% in one day after the company changed its stock ticker from VSCO to VSXY.

The lingerie maker's new ticker spells out "very sexy," a playful rebranding move that caught investors' attention.

✔️ @venture

📊 Building a stock portfolio is simpler than most people think

If you're investing for 20+ years, putting everything into the S&P 500 isn't necessarily the obvious choice. Valuations remain near historical highs, which could mean future returns look very different from the last two decades.

A different approach is to focus on quality growth companies:

🖱 Revenue growth above 10%

🖱 Returns on capital above 15%

🖱 Strong cash generation

🖱 Durable competitive advantages

🖱 Management teams with a solid track record

A portfolio of 10–15 companies is often enough. Beyond that, diversification benefits start to shrink while the amount of research and monitoring grows quickly.

Position sizing matters just as much as stock selection. Average ideas might deserve 5%, stronger ideas 10%, and only the highest-conviction opportunities should reach 15% or more. Building positions gradually can also reduce timing risk.

The biggest lesson is simple: finding great companies is important. Having the patience to wait for the right price is what separates good returns from mediocre ones.

✔️ @venture

🇺🇸 The White House will get early access to the most powerful AI models

President Trump signed an executive order creating a classified government benchmark for advanced AI systems.

AI companies will be able to test new models against the benchmark to determine whether they qualify as frontier AI systems. If they do, developers can voluntarily provide the US government with access up to 30 days before a public release.

The administration says the framework is not a licensing system and does not require approval before launching new models.

As AI becomes more strategically important, governments increasingly want visibility into capabilities before the rest of the market sees them.

✔️ @venture