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OpenAI just dropped GPT-5.5 and called it a "new class of intelligence." Elon Musk's rocket company might buy the hottest coding startup on Earth for $60 billion. And the most dangerous AI model ever built? Someone already broke into it. Let's get into it.
In today’s AI debrief:
OpenAI launches GPT-5.5 - its first full retrain since GPT-4.5
SpaceX locks a $60B option to acquire Cursor
Anthropic investigates unauthorized access to its Mythos model
OpenAI's biggest model upgrade in over a year just went live.
Image Source: chatai.com
The debrief: OpenAI released GPT-5.5 on Thursday - its first completely retrained base model since GPT-4.5 and the latest step in a sprint toward building an AI "super app." The model is rolling out to paid ChatGPT subscribers and Codex users now, with API access coming soon.
The details: Every GPT-5.x model between 4.5 and 5.5 was a post-training iteration on the same base. GPT-5.5 is a ground-up rebuild - new architecture, new training data, new agent-oriented objectives. The results show it. On Terminal-Bench 2.0, which tests complex command-line workflows, GPT-5.5 scored 82.7% compared to Claude Opus 4.7 at 69.4% and Gemini 3.1 Pro at 68.5%. It tops the Artificial Analysis Intelligence Index at 60 - three points ahead of the competition. The model ships with a 1M-token context window and matches GPT-5.4's per-token speed despite being significantly more capable. OpenAI President Greg Brockman called it "a new class of intelligence" and framed it as another step toward a unified super app combining ChatGPT, Codex, and an AI browser. ChatGPT now has over 900 million weekly active users and 50 million subscribers. But the pricing tells the real story: API costs double from GPT-5.4 at $5 per million input tokens and $30 per million output - the largest single-release price jump in the GPT-5.x series. OpenAI argues the model uses roughly 40% fewer tokens to complete the same tasks, netting out to about 20% higher total cost for equivalent work.
Why it matters: The model race just entered a new phase. Six weeks between GPT-5.4 and GPT-5.5. Less than two months since Anthropic dropped Claude Mythos Preview. The gap between releases is shrinking while the capabilities keep climbing. For developers and businesses, the question is no longer "which model is best" - it's whether you can keep up with the upgrade cycle. And with GPT-5.5 doubling API costs, the era of cheap frontier AI is officially over. The companies that figure out how to extract real ROI from these tools - not just test them - will pull ahead fast.
The biggest AI acquisition option in history just landed - and it involves a rocket company.
Image Source: cnet.com
The debrief: SpaceX announced on Tuesday that it has secured the right to acquire Cursor - the AI coding tool that's been eating the developer market alive - for $60 billion later this year, or pay $10 billion for the collaboration. The deal killed a $2 billion fundraise that was about to close.
The details: Cursor was days away from closing a $2 billion funding round when SpaceX swooped in with a $10 billion "collaboration fee" and a path to full acquisition. The startup halted investor discussions immediately. The logic: that $2B raise still wouldn't have gotten Cursor to cash-flow breakeven, meaning another capital raise was inevitable. SpaceX offered something better - access to xAI's Colossus supercomputer with its million-H100-equivalent compute capacity. Cursor CEO Michael Truell, a 25-year-old former Google intern, said he's "excited to partner with the SpaceX team to scale up Composer" - Cursor's AI model. Microsoft had looked at a deal for Cursor before deciding not to proceed, while GitHub Copilot continues losing ground. The timing is strategic: SpaceX is targeting a June IPO at a $1.75-1.8 trillion valuation and wants investors to see it as more than a space and satellite business. The actual acquisition would come after the IPO to avoid updating confidential financial filings.
Why it matters: This deal tells you exactly where the AI money is going: agentic coding. Cursor was valued at $2.5 billion in January 2025. Now it's worth $60 billion - a 24x jump in 15 months. That's not hype, that's developers voting with their wallets for tools that actually ship code. But here's the tension: neither Cursor nor xAI has proprietary models that can match Anthropic or OpenAI. SpaceX has compute. Cursor has distribution. What they're betting on is that the combination creates something neither could build alone. If you're a founder or builder, the signal is clear - AI coding isn't a feature anymore. It's the product category that every major player in tech is willing to pay tens of billions to own.
The AI model too dangerous to release publicly? Someone got in anyway.
Image Source: cbsnews.com
The debrief: Anthropic confirmed on Wednesday that it's investigating "unauthorized access" to Claude Mythos Preview - the AI model it deliberately kept from the public because of its ability to find and exploit zero-day vulnerabilities across every major operating system and web browser. A small group accessed the model through a third-party contractor portal.
The details: When Anthropic launched Mythos on April 7 under "Project Glasswing," it gave access to only a handful of trusted companies - Amazon, Apple, Google, Microsoft, JPMorgan Chase, Nvidia, and Cisco - to help patch the thousands of high-severity vulnerabilities the model had discovered. The UK's AI Security Institute tested Mythos and found it could complete multi-stage corporate network attacks - a 32-step simulation spanning initial reconnaissance to full network takeover that would take human security professionals days. It succeeded 73% of the time on expert-level tasks that no previous model could complete. Now, Bloomberg reported that a group gained access through a third-party vendor environment using internet sleuthing tools. Anthropic says it hasn't detected breaches beyond the vendor environment, and the group reportedly wanted to try the models rather than use them maliciously. Security researcher Bruce Schneier wrote this week that the implications are significant: the model can autonomously discover and weaponize software vulnerabilities without expert guidance. Meanwhile, the NSA has reportedly started using Mythos, and Anthropic CEO Dario Amodei visited the White House last week to discuss broader access.
Why it matters: The irony is brutal. The AI model built to find security flaws had a security flaw in its own access controls. But the bigger story is what this means for every company and individual running software. Mythos can find vulnerabilities that thousands of human developers missed. If this capability proliferates - whether through leaks, competitor models, or open-source alternatives - the cybersecurity landscape changes permanently. The World Economic Forum warned that even with defensive use, organizations may face "overload" from thousands of newly discovered vulnerabilities they can't patch fast enough. We're entering an era where AI doesn't just assist hackers or defenders - it fundamentally changes the math of who has the advantage.
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Google confirmed Gemini will power the new Siri. At Cloud Next 2026 in Las Vegas, Google Cloud CEO Thomas Kurian stood in front of an Apple logo and said Gemini technology will power "a more personalized Siri coming later this year." The updated assistant is expected to debut with iOS 27 this fall and include a standalone Siri app with chat logs and multi-turn conversations. Two historic rivals, now building the same product.
Meta is tracking employee keystrokes to train AI. The company installed software on U.S. employees' work computers that captures mouse movements, clicks, keystrokes, and screenshots across hundreds of websites including Google, LinkedIn, and GitHub. Multiple employees called it "dystopian" in internal messages. The goal: build AI agents that can do white-collar work autonomously. This comes as Meta plans to lay off 10% of its global workforce starting May 20.
Geoffrey Hinton told the UN to hit the brakes on AI. The Nobel laureate and "godfather of AI" told delegates at the Digital World Conference that AI is "a very fast car with no steering wheel" and called for immediate regulation before capabilities outpace governance entirely.
Spotify launched voluntary AI labels in beta. Listeners can now see whether AI was involved in a song's vocals, lyrics, or production directly in Song Credits. The catch: it's entirely voluntary, starting with DistroKid artists. Apple Music already requires its own "Transparency Tags" - but those rely on accurate self-reporting too.
Google unveiled TPU 8 chips at Cloud Next. The new dual-chip approach - TPU 8t for training, TPU 8i for inference - claims 2.7x better price-to-performance than the prior generation. Broadcom co-designed the training chip; MediaTek handled inference. Google is now the only hyperscaler selling custom AI chips externally, and Nvidia's monopoly narrative just got a lot harder to maintain.
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