OpenAI outlines vision for the AI economy!

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A vision for the AI economy? Count us in! 

Hello forward thinkers, and welcome to another issue (#153) of the Neural Frontier.

Today, we’re unpacking OpenAI’s vision for the AI economy, Anthropic’s new model, and Perplexity’s startup competition. 

Let’s go! 

In a rush? Here's your quick byte: 

🌍 OpenAI outlines vision for the AI economy!

🤖  Anthropic debuts new AI model, Mythos.

💸 Perplexity launches a $1M startup competition!

⚡ The Neural Frontier’s weekly spotlight: 3 AI tools making the rounds this week.

🌍 OpenAI outlines vision for the AI economy!

OpenAI has released a sweeping set of policy proposals for what it calls the “intelligence age” — a future where AI reshapes work, wealth, and economic systems at a fundamental level.

Rather than a product launch, this is a policy blueprint — aimed at governments, investors, and the public — outlining how society might adapt to widespread AI-driven disruption.

🧠 The core idea: redistribute AI-driven wealth

At the heart of OpenAI’s proposal is a simple tension: AI could massively increase wealth — but also concentrate it.

To address that, the company suggests a mix of market-driven growth and redistribution mechanisms, including:

• Shifting taxes from labor → capital (since AI reduces reliance on human work)

• Higher taxes on corporate profits, capital gains, or AI-driven returns

• A potential “robot tax” (similar to ideas proposed by Bill Gates)

• A Public Wealth Fund that gives citizens a shared stake in AI companies and infrastructure

The goal is to ensure that ordinary people benefit from AI growth, even if they’re not directly employed in it.

🏢 Rethinking work in an AI-driven world

OpenAI also leans into the idea that AI could fundamentally change how we work — and how much we work.

Some proposals include subsidizing a four-day workweek with no pay cuts, expanding employer contributions to healthcare, retirement, and caregiving, and creating portable benefits that follow workers across jobs.

Interestingly, many of these are framed as corporate responsibilities, not just government programs — though critics note this may not fully protect workers displaced by automation.

⚠️ Safety, infrastructure, and control

Beyond economics, OpenAI highlights broader risks tied to advanced AI:

• Misuse by governments or bad actors

• Cybersecurity and biosecurity threats

• Systems operating beyond human control

To address this, it proposes new oversight bodies and containment strategies, targeted safeguards for high-risk use cases, treating AI like a public utility, and ensuring broad access.

At the same time, it calls for massive infrastructure expansion, including energy and data centers, to support AI’s growing demands.

But there’s also an underlying tension: OpenAI is both advocating for broader distribution of wealth and operating as a fast-growing, profit-driven company.

How would those two realities reconcile? We’ll have to wait and see.

🤖 Anthropic debuts new AI model, Mythos.

Anthropic has introduced Mythos, a new frontier model that the company says is among its most powerful yet — but for now, it’s not getting a public rollout.

Instead, Anthropic is debuting the model through Project Glasswing, a new cybersecurity initiative that gives a limited group of partners access to Mythos for defensive security work. The goal is to use the model to find and fix vulnerabilities in critical software before bad actors can exploit them.

🔍 What Mythos is being used for

Mythos wasn’t specifically trained as a cybersecurity model, but Anthropic says it has particularly strong agentic coding and reasoning abilities, making it well suited to vulnerability detection and software analysis.

According to the company, the model has already identified thousands of zero-day vulnerabilities, including many critical issues that had gone unnoticed for years — in some cases, for decades. 

🤝 Project Glasswing and the partner rollout

The initial rollout is tightly controlled. Anthropic says 12 partner organizations are participating in Project Glasswing, including major names like:

• Amazon

• Apple

• Microsoft

• Cisco

• CrowdStrike

• Palo Alto Networks

• The Linux Foundation

In total, 40 organizations will get access to the Mythos preview, though Anthropic says the model will not be generally available.

The broader idea is that these early partners will test the model in real cybersecurity environments, then share lessons that can help the wider industry.

⚠️ Why Anthropic is being careful

Anthropic is being cautious for a reason: the same capabilities that make Mythos useful for finding security flaws could also make it dangerous if weaponized.

That concern was already visible in a leaked internal document from last month, which described the model — then under the codename Capybara — as more powerful than Anthropic’s public Opus models, especially in areas like software coding, academic reasoning, and cybersecurity. 

The leak also suggested Anthropic viewed the model as potentially risky in the wrong hands. That helps explain why Mythos is launching behind closed doors, inside a security-focused program, rather than as a public Claude upgrade.

💸 Perplexity launches a $1M startup competition!

Perplexity is turning its AI platform into a startup engine with The Billion Dollar Build — an 8-week competition challenging builders to create a company with a real path to a $1B valuation using Perplexity Computer.

The pitch is simple: if AI can now research, build, and execute — can it also help you build a unicorn?

💰 What’s on the line

Winners get more than just bragging rights:

• Up to $1M in seed funding (split across up to 3 teams)

• Up to $1M in Perplexity Computer credits

• A shot at becoming the first “Computer-native unicorn”

It’s less of a hackathon, more of a compressed startup accelerator.

⚙️ How it works

The structure is straightforward:

• 8 weeks to build → ship a product, get users, show traction

• Top 10 finalists → pitch live (5 mins + Q&A)

• Winners announced → followed by potential investment talks

To enter, you’ll need a Perplexity Pro/Max subscription and to register by April 14.

This is bigger than a competition. Perplexity is betting that AI agents can replace large parts of early-stage startup teams, smaller teams (even 1–2 people) can build venture-scale companies, and the “AI-native company” will look fundamentally different from today’s startups. 

Or put simply: If competitors need 50 people and you need 2 + AI… that’s the edge they’re trying to prove.

⚡ The Neural Frontier’s weekly spotlight: 3 AI tools making the rounds this week. 

1. 🤖 Autohive is a no-code platform that lets any team build and deploy AI agents to handle repetitive tasks — without writing a single line of code.

2. 🔍 Lessie AI is an AI-powered people search engine that finds and contacts influencers, leads, investors, and talent across 100+ platforms — just by describing who you're looking for.

3. 📝 Bibby AI is an AI-powered LaTeX editor that helps researchers write, format, and cite academic papers faster — with smart autocomplete, equation recognition, and deep research built in.

Wrapping up… 

What was your favorite update this week? For us, it was deffo OpenAI’s vision for the AI economy. It seems so far out, but just a few years ago, the products we’re enjoying today also seemed “far out.” 

So, you never know. But while we wait, remember to stay curious, and keep an eye on that inbox 😏. 

As always, we’ll catch you next week on the Neural Frontier! 👋

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