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AI Jobs and Career
We want to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
- Full Stack Engineer [$150K-$220K]
- Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
- DevOps Engineer, India, Contract [$90/hour]
- More AI Jobs Opportunitieshere
| Job Title | Status | Pay |
|---|---|---|
| Full-Stack Engineer | Strong match, Full-time | $150K - $220K / year |
| Developer Experience and Productivity Engineer | Pre-qualified, Full-time | $160K - $300K / year |
| Software Engineer - Tooling & AI Workflows (Contract) | Contract | $90 / hour |
| DevOps Engineer (India) | Full-time | $20K - $50K / year |
| Senior Full-Stack Engineer | Full-time | $2.8K - $4K / week |
| Enterprise IT & Cloud Domain Expert - India | Contract | $20 - $30 / hour |
| Senior Software Engineer | Contract | $100 - $200 / hour |
| Senior Software Engineer | Pre-qualified, Full-time | $150K - $300K / year |
| Senior Full-Stack Engineer: Latin America | Full-time | $1.6K - $2.1K / week |
| Software Engineering Expert | Contract | $50 - $150 / hour |
| Generalist Video Annotators | Contract | $45 / hour |
| Generalist Writing Expert | Contract | $45 / hour |
| Editors, Fact Checkers, & Data Quality Reviewers | Contract | $50 - $60 / hour |
| Multilingual Expert | Contract | $54 / hour |
| Mathematics Expert (PhD) | Contract | $60 - $80 / hour |
| Software Engineer - India | Contract | $20 - $45 / hour |
| Physics Expert (PhD) | Contract | $60 - $80 / hour |
| Finance Expert | Contract | $150 / hour |
| Designers | Contract | $50 - $70 / hour |
| Chemistry Expert (PhD) | Contract | $60 - $80 / hour |
Summary: The Thursday news cycle brings a severe reality check regarding enterprise automation and operational security. We analyze Google’s staggering admission that 75% of its internal codebase is now generated by AI. We deconstruct the “Agentic Arms Race,” exploring OpenAI’s launch of Codex-powered Workspace Agents designed to autonomously run multi-step workflows across enterprise teams. We dive into the embarrassing breach of Anthropic’s restricted ‘Mythos’ model by a Discord group, highlighting severe supply-chain vulnerabilities. Finally, we discuss SpaceX’s massive $60 billion option to acquire Cursor, Tim Cook’s reflections on Apple Maps, and Sony’s table tennis robot defeating elite human players.
Important Topics Covered:
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Google’s Automated Codebase: Google officially reveals that 75% of its in-house code is now AI-generated, signaling a massive shift in how the world’s leading tech giant operates its internal engineering.
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OpenAI Workspace Agents: ChatGPT introduces new Codex-powered shared bots that can retain memory, call connected apps, and autonomously execute multi-step team workflows across platforms like Slack, raising serious data governance concerns.
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SpaceX’s $60B Cursor Bet: Elon Musk secures a $10B partnership with coding startup Cursor, locking in an option for SpaceX to acquire the company outright for $60 billion before year-end, circumventing a planned $50B IPO.
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The Mythos Breach: Anthropic’s highly restricted ‘Mythos’ cybersecurity model is accessed by a Discord group on launch day. The group utilized leaked deployment patterns from the Mercor breach and third-party contractor credentials.
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Apple’s Leadership Reflections: Incoming Executive Chairman Tim Cook calls the 2012 launch of Apple Maps his biggest mistake, while naming the life-saving capabilities of the Apple Watch his greatest achievement.
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Kalshi Fines Politicians: Prediction market Kalshi suspends and fines three congressional candidates for “political insider trading,” including a $6,229 fine for a Virginia candidate trading on his own campaign.
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Sony’s Ace Robot: Sony’s AI division publishes data showing its table tennis robot, Ace, defeated professional human players using 9 cameras, 3 gaze control systems, and 8 mechanical joints.
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⚗️ PRODUCTION NOTE: We Practice What We Preach.
AI Unraveled is produced using a hybrid “Human-in-the-Loop” workflow.
Sony robot beats elite table tennis players
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Sony’s AI division built a table tennis robot called Ace that can compete with and sometimes beat elite and professional players in matches following official International Table Tennis Federation rules.
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Ace has eight joints for controlling the paddle’s position, orientation, and power, along with a vision system using nine cameras and three gaze control systems to track the ball’s speed, spin, and trajectory.
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In test matches published in Nature, Ace won three out of five games against elite players in April 2025 and went on to defeat professional players in December 2025 and again last month.
Kalshi suspends and fines 3 congressional candidates
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Kalshi, the prediction market platform, suspended and fined three congressional candidates from Virginia, Minnesota, and Texas for trading on markets tied to their own campaigns, calling it “political insider trading.”
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Virginia candidate Mark Moran traded on two markets related to his campaign, was fined $6,229.30, and received a five-year suspension after he stopped communicating with the company’s team.
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Kalshi said all three candidates were caught by its newly released safeguards designed to block political candidates from trading on their own elections, and two of them cooperated with probes.
Apple Maps remains Tim Cook’s biggest mistake
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Tim Cook has called the 2012 launch of Apple Maps his biggest mistake as CEO, explaining for the first time that testing was mostly done locally around Cupertino, which hid problems elsewhere.
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Cook shared these remarks at an Apple Town Hall on April 22, 2026, where he and incoming CEO John Ternus answered employee questions about the leadership handover.
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Cook named the Apple Watch as his greatest achievement, saying he still receives daily notes from users who credit the watch with saving their lives since that very first message.
Apple fixes bug FBI used to read deleted messages
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Apple patched a bug in its iPhone and iPad software that the FBI had been exploiting to read deleted messages from apps like Signal using forensic tools.
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The problem was that notification content showing message text was cached on the device for up to a month, even after the messages were deleted inside the app.
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Signal president Meredith Whittaker said the company asked Apple to fix the issue, and Apple also backported the patch to devices still running the older iOS 18 software.
xAI seeks alliance with Mistral and Cursor
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Elon Musk’s xAI has been in talks with French AI startup Mistral and coding tool Cursor about a three-way partnership, on top of SpaceX’s $60 billion option to buy Cursor.
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Mistral cofounder Devendra Chaplot now leads xAI pretraining, and two senior Cursor engineers joined SpaceX in March, with all of them reporting directly to Musk.
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Anthropic blocked xAI’s access to Claude through Cursor in January, leaving Cursor exposed because its product depends on models from the same companies building competing coding editors.
Xpeng plans flying car deliveries starting 2027
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Xpeng, the Chinese EV maker, plans to begin delivering flying cars starting in 2027 and has already received more than 7,000 orders, mostly from customers in China awaiting aviation authority approval.
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The company will start robotaxi tests in Guangzhou this year and expects to produce hundreds to thousands of robotaxis over the next 12 to 18 months, seeking global partners.
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Xpeng currently operates in about 60 countries and generated roughly 15% of its revenue from overseas sales last year, aiming to push that above 50% within ten years.
Anthropic’s locked-down Mythos leaked
Access to Anthropic’s Mythos model reportedly leaked into a Discord group within days of launch, after the users reportedly guessed the company’s deployment URL and naming using patterns leaked in the recent Mercor breach.
The details:
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The cybersecurity model was released on April 10 to select partners under ‘Project Glasswing’, with Anthropic deeming it too powerful for public release.
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Bloomberg reported that a private Discord group tracking unreleased models accessed Mythos on release day and has been using it regularly.
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One member had vendor credentials through contract work, with leaked Mercor details helping the group locate and access Mythos online.
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The group told Bloomberg that they do not use Mythos for cyberattacks or other malicious activities, and also claimed access to other unreleased models.
Why it matters: The first alleged unauthorized use of the AI model that had the White House and others calling emergency meetings didn’t come from China, Russia, or another rival nation — it came from a random Discord group. Not a great start, and the problem only compounds as partner access grows and the models get more dangerous.
SpaceX stakes $60B on AI coding startup Cursor
Image source: Cursor
SpaceX just announced a new partnership with coding startup Cursor and locked in an option to acquire the company for $60B later this year, handing Elon Musk a shortcut into a race xAI has spent the year losing to Anthropic and OpenAI.
The details:
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CEO Michael Truell said each release of Cursor’s Composer models ran into a compute ceiling, with SpaceX’s Colossus now providing the needed power.
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Cursor is guaranteed $10B for the partnership, no matter what, with the full $60B acquisition only happening if Musk exercises it before year-end.
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xAI poached Cursor leads Andrew Milich and Jason Ginsberg last month, with Musk saying the startup “was not built right the first time around”.
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Cursor was set to raise $2B at a $50B valuation before the deal, with SpaceX holding off on the acquisition due to complications with the IPO process.
Why it matters: Musk has tried and failed so far to build a frontier coding tool inside xAI, with Grok having no answer to Claude Code or Codex. This deal swaps in-house build for outside product to level up quickly, and gives Cursor the ability to potentially shift into a SpaceX-fueled coding lab instead of a compute-starved startup.
ChatGPT’s Codex-powered agents for teams
Image source: OpenAI
OpenAI just introduced Workspace Agents in ChatGPT, new Codex-powered shared bots designed to tackle multi-step team workflows autonomously across ChatGPT and Slack.
The details:
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Workspace agents are pitched as an ‘evolution’ of 2023’s solo-user GPTs, with old GPTs still working for now and a conversion tool coming soon.
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Backed by Codex in the cloud, agents can retain memory, call connected apps, and live in Slack or trigger on a schedule when users are offline.
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Inside OAI, sales reps use the feature for account research and follow-up drafts, while accounting runs it for journal entries and reconciliations.
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Custom agents can be created via ChatGPT and shared across teams, with the ability to set restrictions on data usage, approvals, and permissions.
Why it matters: OAI’s enterprise push is no secret, and workspace agents solve a real problem — every team has accumulated scattered prompts and half-built workflows over the last two years, and few have unified them. The initial GPT Store didn’t stick, but agentic upgrades and an enterprise shift could help this debut find a better fit.
Why OpenAI’s team agents raise new risks
Personal AI agents have been the hottest trend of 2026. OpenAI wants to turn it into a team sport.
On Wednesday, the company launched ChatGPT “Workspace agents,” which will now appear as a new tab in the left navbar and use Codex to let you build agents you can create once and quickly share across teams to carry out all kinds of regular tasks.
Here’s how OpenAI described it in the announcement: “AI has already helped people work faster on their own, but many of the most important workflows inside an organization depend on shared context, handoffs, and decisions across teams. Workspace agents are designed for that kind of work: they can gather context from the right systems, follow team processes, ask for approval when needed, and keep work moving across tools.”
If you’re ready to try ChatGPT workspace agents on your team, there are several factors to keep in mind:
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Workspace agents are not just set-it-and-forget-it. They will require deep integration with your company’s apps and data. Teams will need to connect them to systems like internal docs, messaging platforms, and databases. And that will immediately raise hard questions about data access, permissions, and governance.
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OpenAI is pushing a model where agents can coordinate across multi-step workflows, not just single tasks. That means companies will need to think in terms of process design, what tasks should be automated, how agents hand off work, and where humans stay in the loop to review or intervene.
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The biggest unlock, and the biggest risk, is that these agents can operate with persistent context inside a workspace, learning how a team works over time. That creates leverage for productivity, but also forces companies to get serious about accuracy, oversight, and how much autonomy they are willing to give AI inside core business operations.
What Else Happened in AI on April 23rd 2026?
Anthropic faced backlash after Claude Code was removed for some new users on the Pro tier, with the company saying it was running a “small test” on the signup flow.
Google unveiled its new 8th-generation TPUs built for agent workloads, separating training and inference into two separate chips for the first time.
Ideogram launched Custom Models, letting users fine-tune image generation on 15-100 of their own assets for consistent on-brand outputs.
Google revealed 75% of its in-house code is now AI-generated, with the company seeing major gains in security and operations through AI and agentic implementations.
Odyssey introduced Odyssey-2 Max, a 3x-larger world model that topped physics benchmark scores in real time and is now in private beta.
Alibaba’s Qwen team open-sourced Qwen3.6-27B, a 27B model that surpassed its own 397B predecessor across top coding benchmarks.
Bloomberg: Tesla Boosts Spending Plan to $25 Billion for AI, Robot Push
The National: Half of UAE government services to be powered by AI in two years
Coinbase Quantum Advisory Council Publishes Position Paper on Quantum Computing and Blockchain
FT: DeepSeek targets $20bn valuation to stop poaching of staff
WSJ: America’s Largest Landowner Is Using AI to Digitize the Forest
Wired: AI Tools Are Helping Mediocre North Korean Hackers Steal Millions
AI Jobs and Career
We want to share an exciting opportunity for those of you looking to advance your careers in the AI space. You know how rapidly the landscape is evolving, and finding the right fit can be a challenge. That's why I'm excited about Mercor – they're a platform specifically designed to connect top-tier AI talent with leading companies. Whether you're a data scientist, machine learning engineer, or something else entirely, Mercor can help you find your next big role. If you're ready to take the next step in your AI career, check them out through my referral link: https://work.mercor.com/?referralCode=82d5f4e3-e1a3-4064-963f-c197bb2c8db1. It's a fantastic resource, and I encourage you to explore the opportunities they have available.
- Full Stack Engineer [$150K-$220K]
- Software Engineer, Tooling & AI Workflow, Contract [$90/hour]
- DevOps Engineer, India, Contract [$90/hour]
- More AI Jobs Opportunitieshere
| Job Title | Status | Pay |
|---|---|---|
| Full-Stack Engineer | Strong match, Full-time | $150K - $220K / year |
| Developer Experience and Productivity Engineer | Pre-qualified, Full-time | $160K - $300K / year |
| Software Engineer - Tooling & AI Workflows (Contract) | Contract | $90 / hour |
| DevOps Engineer (India) | Full-time | $20K - $50K / year |
| Senior Full-Stack Engineer | Full-time | $2.8K - $4K / week |
| Enterprise IT & Cloud Domain Expert - India | Contract | $20 - $30 / hour |
| Senior Software Engineer | Contract | $100 - $200 / hour |
| Senior Software Engineer | Pre-qualified, Full-time | $150K - $300K / year |
| Senior Full-Stack Engineer: Latin America | Full-time | $1.6K - $2.1K / week |
| Software Engineering Expert | Contract | $50 - $150 / hour |
| Generalist Video Annotators | Contract | $45 / hour |
| Generalist Writing Expert | Contract | $45 / hour |
| Editors, Fact Checkers, & Data Quality Reviewers | Contract | $50 - $60 / hour |
| Multilingual Expert | Contract | $54 / hour |
| Mathematics Expert (PhD) | Contract | $60 - $80 / hour |
| Software Engineer - India | Contract | $20 - $45 / hour |
| Physics Expert (PhD) | Contract | $60 - $80 / hour |
| Finance Expert | Contract | $150 / hour |
| Designers | Contract | $50 - $70 / hour |
| Chemistry Expert (PhD) | Contract | $60 - $80 / hour |

