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AI Jobs and Career

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Senior Full-Stack Engineer	Full-time	$2.8K - $4K / week
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Senior Software Engineer	Contract	$100 - $200 / hour
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#DJAMGAMIND #AIRIA

Summary: In today’s briefing, we analyze the “Financialization of Intelligence.” We deconstruct the massive $6.6 billion secondary share sale that minted 75 multimillionaires at OpenAI, alongside the launch of DeployCo, their $10 billion private equity consulting arm. We explore the alarming cybersecurity milestone of Google detecting the first AI-assisted zero-day exploit, actively used by state-sponsored actors. We also dive into the hidden management cost of AI agents, showing how autonomous workflows are actively burning out middle managers. Finally, we cover Cerebras up-sizing its IPO to $4.8B, DeepMind’s new AI co-mathematician, and Trump meeting Xi Jinping in Beijing.

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Important Topics:

• First AI Zero-Day Exploit: Google detects a Python script designed to bypass two-factor authentication, marking the first confirmed zero-day exploit built with LLM assistance.

• OpenAI’s $6.6B Cash-Out: Over 600 OpenAI employees cash out $6.6 billion in shares, with 75 staff members hitting the maximum $30 million limit.

• OpenAI Launches DeployCo: Backed by TPG and Bain Capital, OpenAI rolls out a $10B consulting arm to integrate its models directly into enterprise portfolios.

• The Hidden Cost of AI Agents: ServiceNow reports that deploying autonomous AI agents is severely increasing the workload and stress of middle managers tasked with oversight.

  

• Anthropic Blames Sci-Fi: Anthropic reveals Claude’s pre-release blackmail behavior was caused by training data filled with fictional stories depicting AI as evil.

• Cerebras Upsizes IPO: The AI chipmaker raises its IPO target to a $34.4B valuation ($4.8B raise) following massive, 20x oversubscribed demand.

• DeepMind’s AI Co-Mathematician: Google DeepMind publishes a paper on an agentic system based on Gemini 3.1 that recently resolved an open problem in the Kourovka Notebook.

• AI Discovers 100+ Exoplanets: University of Warwick astronomers use the RAVEN AI system to scan NASA data, confirming 100+ new exoplanets and 2,000 candidates.

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Email: etienne_noumen@djamgamind.com

⚗️ PRODUCTION NOTE: We Practice What We Preach.

AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.

Google detects first AI-built zero-day exploit

• Google says it has spotted the first zero-day exploit it believes was built with help from AI, a Python script designed to bypass two-factor authentication on an open source web-based system administration tool.

• While Google doesn’t think Gemini was the model used, the script’s textbook Pythonic format, abundance of educational docstrings, and a hallucinated CVSS score gave away that an LLM helped find and weaponize the vulnerability.

• The report also flags Chinese and North Korean state-sponsored actors leaning on AI, including UNC2814’s persona-driven jailbreak posing the model as a senior security auditor and APT45 sending thousands of repetitive prompts to validate PoC exploits.

OpenAI launches an AI consulting arm

• OpenAI has rolled out a new consulting and services business called The OpenAI Deployment Co., or DeployCo, with $4 billion in private equity money at a $10 billion pre-money valuation, with OpenAI keeping majority control.

• Three legacy consultancies — Bain & Co., Capgemini, and McKinsey & Co. — are among DeployCo’s investors, alongside lead investor TPG and co-lead founding partners Advent International, Bain Capital, and Brookfield.

  Smartphone 101 - Pick a smartphone for me - android or iOS - Apple iPhone or Samsung Galaxy or Huawei or Xaomi or Google Pixel
  

• Investors are getting a guaranteed minimum 17.5% return with profits capped, and DeployCo has already bought a forward-deployed engineering team called Tomoro, with more such acquisitions possible.

Anthropic blames evil AI fiction for Claude blackmail

• Anthropic says Claude’s blackmail behavior during pre-release tests came from internet text that depicts AI as evil and obsessed with self-preservation, pointing to fiction as the root cause of the model’s troubling actions.

• The company reported that earlier models would try to blackmail engineers to avoid replacement up to 96% of the time, but starting with Claude Haiku 4.5, its models never engage in blackmail during testing.

• Anthropic credits the shift to training that includes documents about Claude’s constitution and fictional stories about AIs behaving admirably, adding that pairing principles of aligned behavior with demonstrations works better than demonstrations by themselves.

OpenAI internal share sale creates 75 multimillionaires

• OpenAI employees pulled in $6.6 billion through an October secondary sale, with more than 600 current and former staff selling shares and around 75 of them hitting the full $30 million per-person limit.

• OpenAI tripled its earlier $10 million seller cap to $30 million after investor demand outpaced supply, and required staff to hold shares for two years, opening the first cash-out window for many post-ChatGPT hires.

• The tender priced OpenAI at $500 billion, drew buyers including Thrive Capital, SoftBank, Dragoneer, MGX and T. Rowe Price, and brought no new money to OpenAI since existing holders simply transferred stakes.

TikTok launches paid ad-free tier in UK

• TikTok is launching a paid ad-free version of its app in the UK, charging users over 18 a fee of £3.99 (around $5.40) per month, with the rollout planned over the coming months.

• The “pay or consent” model is likely a response to UK GDPR and privacy laws, since subscribers also get a promise that TikTok won’t use their data for “advertising purposes.”

• TikTok began testing the ad-free experience in 2023, with leaked screenshots showing a $4.99 monthly price, hinting the option could later reach the US, though free users will still see personalized ads.

Google DeepMind’s AI co-mathematician

Image source: Pushmeet Kohli (@pushmeet on X)

The Rundown: Google DeepMind just published a paper on its AI co-mathematician, an agentic system based on Gemini 3.1 built to help mathematicians tackle unsolved problems — setting a new high on a benchmark of research-level math problems.

The details:

• DeepMind modeled the tool after AI coding environments like Claude Code, bringing agent teams and built-in review cycles to math research.

• A coordinator agent breaks research into parallel workstreams, each with sub-agents that write code, search literature, and attempt proofs.

• Oxford’s Marc Lackenby resolved an open problem in the Kourovka Notebook after spotting a ‘really, really clever proof strategy’ inside a rejected output.

• On Epoch AI’s FrontierMath Tier 4, the system topped the leaderboard at 48% and more than doubled Gemini 3.1 Pro’s 19% raw score.

Why it matters: AI has already led to a surge in mathematics discoveries with the advances in frontier models, and similar to coding, agentic pipelines are now enabling AI systems to push even further. But as Lackenby’s discovery shows, the future is still bright for AI that enables top minds to accelerate their work, not replace it.

AI finds 100+ new exoplanets from NASA data

Image source: NASA

The Rundown: University of Warwick astronomers confirmed more than 100 exoplanets using an AI system called RAVEN that scanned 4 years of NASA TESS data covering 2.2M stars, with RAVEN also finding 2,000+ additional potential candidates.

The details:

• RAVEN handles detection, vetting, and confirmation in one shot, trained on simulated planets and false-alarm signals to filter real finds.

• The findings included 31 exoplanets never before spotted, plus strange worlds that orbit around their stars in under a day.

• Hundreds of exoplanets were found in the “Neptunian Desert”, a region so close to a star that Neptune-sized planets shouldn’t survive the heat.

• The system measures how common different planet types are at 10x the precision of previous systems from smarter AI alone, not new hardware.

Why it matters: Humans have confirmed just a few thousand exoplanets so far, and there are estimated to be trillions. AI and tech advances are going to help rewrite that number fast — and judging from RAVEN, all it will take is upgraded models and AI integrations to uncover knowledge about space already hiding in the data we have.

The Cerebras IPO scales:

Chip startup Cerebras raised its IPO price range from $115 to $125 to $150 to $160, one of the largest price increases we can recall from a public-market debut. The resulting Cerebras revenue multiple is steep, but if you consider its new partners and implied revenue ramp, the enthusiasm makes more sense. File this one under the ‘Compute Crunch’ tag.

Here’s how to make money from AI:

The Musk-OpenAI trial continues, with Microsoft’s CEO Satya Nadella taking the stand, and other company leaders weighing in by video. One, Michael Wetter, said that Microsoft has “recognized approximately $9.5 billion in revenue to date through its partnership with OpenAI.” See? You can profit from AI in 2026.

AI regulation is up in the air:

With an AI-focused executive order in the offing, Washington is tying itself in knots trying to decide which way to go with artificial intelligence regulation in the United States. The Post reports that the Commerce Department and the Office of the National Cyber Director are arguing over whether voluntary or mandatory checks of new AI models before release are the future. Some tech folks want no regulation. Some want some. Few want a lot.

The hidden management cost of AI agents

With agents moving into the workforce, the stakes for managers have never been higher.

ServiceNow is going all-in on AI agents, but that doesn’t mean they should be treated as digital staff members. Instead, Jacqui Canney, ServiceNow’s chief people and AI enablement officer, told The Deep View she believes managers will stop thinking about agents as coworkers and start seeing them as embedded parts of new workflows.

“I actually hope our managers aren’t thinking ‘I’ve got five agents on my team,” said Canney.

On Tuesday, the enterprise AI giant announced updates to its AI control tower, a command center for managing AI deployments, that now include observing agent behavior and tracking ROI. It also expanded its autonomous workforce offering, adding new “AI specialists” that complete workflows in IT, customer relationship management, and security and risk from start to finish. Still, that shift is creating responsibilities tied to oversight, governance, and cost control.

ServiceNow says its platform gives managers visibility into how agents operate. But Canney said that oversight also increases the pressure on managers to prevent failures as AI systems scale. For some managers, that pressure is already showing up in day-to-day operations.

“[Managers] had a hard job before,” said Canney. “Now, they have a harder job.”

When the City of Raleigh, North Carolina, a ServiceNow customer, first deployed an internal IT support desk agent about a month ago, the help desk supervisor initially saw their workload spike, Mark Wittenburg, the city’s CIO, told The Deep View. Alongside managing staff, the supervisor had to train the agent, monitor its behavior, and quality-check its responses.

“That’s been a transition for the supervisor,” Wittenberg said.

The rise of AI agents is also creating new financial and security concerns for managers. Jayney Howson, ServiceNow’s Chief Learning Officer, told The Deep View that tracking token usage will become increasingly important for managers as employees and agents work closely together across organizations.

That combined usage could rack up AI bills and increase the risk of data leakage. If managers aren’t prepared, she says, they will be left cleaning up the mess.

A $500 Watch, a $50B IPO, and $50T in GDP

Trump heads to China to meet Xi Jinping, OpenAI launches deployment company, fintech startup Parker files for bankruptcy

A $500 Watch, a $50B IPO, and $50T in GDP

by John Coogan

In order of historical importance, today we have stories about a cheap watch, a semiconductor company going public, and a high stakes meeting between Donald Trump and Xi Jinping.

It looked like AI slop or some viral clickbait but it was in fact confirmed by both Swatch and Audemars Piguet that they will be launching a collab called “Royal Pop.” The watch, which will sell for somewhere between $300 and $500 looks like a Royal Oak, but carries the Swatch “Pop” vibe. Exact details haven’t been confirmed but the response has been really solid, the story clearly broke through. The business strategy here is rumored to be about patent expiration and a need to go downmarket as watch prices have skyrocketed. The Swatch partnership gives cover to a playful mass-market version of the Royal Oak, which would otherwise be very dilutive to the brand (not that this won’t be, but at least there’s a story here and precedent from the MoonSwatch). The expectation is crazy long lines, sold out inventory, and instant resale chaos.

Cerebras is ripping. The company is increasing both the size and price of its IPO because demand for the stock is surging. No surprises given everything going on in semiconductors broadly. Also, I’ve used Codex Spark on Cerebras chips and the speedup is very real and very clearly valuable. Years ago there was a bunch of FUD around “what if something comes after the Transformer” but nothing did and then demand started 10xing every few months, so very clear business story. Ben Thompson dove into The Inference Shift today. Cerebras is raising $4.8B at the top end, which implies a valuation of $34.4B, but based on reporting that the offering is 20x oversubscribed, I don’t see how it doesn’t wind up north of $50B pretty quickly (not financial advice).

$50 trillion of global GDP will be in a single conference room in Beijing this week when Trump meets with Xi Jinping to discuss the U.S./Israel conflict with Iran. The tech industry will be hoping for a peaceful resolution to the conflict, but also any indications around the AI supply chain. Commentary on GPU restrictions will likely be scarce as so much of the focus is on Iran. Recent backstory there is as follows:

• Trump rejected Iran’s latest response to a U.S. peace proposal.

• Oil prices have climbed amid fears of prolonged disruption through a chokepoint that carries roughly one-fifth of global oil flows.

• The summit is still expected to focus heavily on trade deals, specifically Chinese purchases of American agriculture, energy, aerospace products, and related investment mechanisms.

Chevron’s Chairman and CEO Mike Wirth had some very dour quotes: “We will start to ​see physical shortages. Demand needs to move to meet supply. Economies are going to have ​to slow,” and “The overall effect ​of the Hormuz closure is potentially as big as ​in the ⁠1970s.” Is that good?

Hollywood’s stance against AI is fracturing

AI is growing increasingly capable of making realistic images and videos. Hollywood is still deciding what to do about it.

Last week, two major entertainment awards institutions, the Academy of Motion Picture Arts and Sciences and the Golden Globes, made somewhat contrasting decisions about how to handle the onset of AI in the movie industry. It signals that a schism may be forming in an industry that had once largely rallied against the use of generative AI technologies.

Here’s what could be eligible come awards season:

• The Academy of Motion Picture Arts and Sciences, which hosts the Oscars, last week updated its rules that ban AI-generated acting and writing for films from awards eligibility. Specifically, the Academy notes that acting must be “demonstrably performed by humans” and writing “must be human-authored” in order to be nominated. The Academy noted that this is a “substantive” change from previous rules. However, outside of acting and writing, the use of AI tools will “neither help nor harm the chances of achieving a nomination.”

• The Golden Globes took a more lenient approach. On Friday, the organization said that AI does not automatically disqualify a movie or TV show from awards contention. However, in order to be considered, “human creative direction, artistic judgment, and authorship remain primary throughout the production process.” AI may be used as part of the production process, but cannot replace “core creative contributions” of human talent. For instance, AI doesn’t render an actor’s performance ineligible, so long as those tools were used to enhance, rather than replace, and must be authorized by the performer.

With these decisions, these entertainment industry institutions are seeking to draw the lines before it’s too late. Many, however, have fought AI thus far: The biggest talent agencies in the industry, for instance, largely opted their clients out of their likenesses being used in OpenAI’s Sora (RIP).

And in January, a coalition of actors, artists and performers launched a petition called “Stealing isn’t Innovation” via the Human Artistry Campaign, protesting the “illegal mass harvesting of copyrighted works.” Some of the hundreds of signatories include Scarlett Johansson, Cate Blanchett, REM, and Jodi Picoult.

However, other industry figureheads have warmed up to the idea of figuring out where AI fits in. For instance, Charles Rivkin, head of the Motion Picture Association, rallied against OpenAI’s Sora in October for concerns over copyright infringement, but said in a speech at CinemaCon last month that AI can “bolster the art of storytelling” in the hands of creators.

What Else Happened in AI on May 11th 2026?

Google’s Isomorphic Labs is reportedly raising $2B+ to expand its Drug Design Engine, which it says significantly outperforms AlphaFold 3 on specific tasks.

Greece is proposing AI protections into its constitution, requiring the tech to serve individual freedom, with PM Mitsotakis citing threats to democracy.

Baidu released ERNIE 5.1, a new AI ranking No. 4 on Arena’s Search Leaderboard, with the company claiming it cost just 6% as much to train as rival models.

OpenRouter launched Pareto Code, a free routing layer that auto-picks the cheapest coding AI above a user-set quality bar, with prices adjusting as newer models improve.

SoftBank Group’s telecom arm launched a battery business to build large-scale cells and storage systems — and meet the power demands of data centers in development.