Apple pivots AI strategy

Plus, a code verification startup raises $70M

Welcome back! Why did OpenAI really shut down Sora? According to a new Wall Street Journal investigation, Sora was a money pit nobody was using. After a splashy launch, its user count peaked at around a million and collapsed to fewer than 500,000—while burning roughly $1 million every day on compute. 

Meanwhile, Anthropic was winning over the software engineers and enterprises that actually drive revenue. So OpenAI CEO Sam Altman made the call: kill Sora, free up chips, refocus. Do you think he made the right decision? Hit reply to let me know your thoughts.

Apple Pivots Focus to AI Hardware & Third-Party Apps

Apple knows it's losing the AI race—and it's not trying to win it anymore. According to Bloomberg's Mark Gurman, the company is shifting its strategy away from competing with ChatGPT and Gemini head-on, instead doubling down on what it does best: selling hardware and services.

What's coming: 

  • At WWDC in June, Apple is expected to announce iOS 27 Extensions, which will let users install third-party AI chatbots beyond ChatGPT and run them directly inside Siri. Think of it as an AI App Store—a marketplace for third-party integrations where Apple takes its usual 30% cut. 

  • A separate deal with Google will bring Gemini technology into Siri and other features, giving Apple usable in-house AI without building it from scratch.

Apple’s AI history: Apple got caught flat-footed by ChatGPT in 2022 and has been bleeding AI talent to OpenAI, Meta, Google, and Anthropic ever since. Apple has effectively conceded it won't be an AI leader anytime soon. Instead, it's positioning itself as the platform where AI runs—not the company that builds the best models.

Why it matters: Not every tech company needs to win the AI arms race. Apple is betting it can stay highly profitable by letting others carry the weight of AI innovation while it controls the ecosystem. It's worked before with the App Store. Whether it works with AI—something far more foundational—remains to be seen.

Microsoft Unveils Multi-Model Deep Research System

On Monday, Microsoft announced Critique, a new deep research system that brings multiple AI models together to generate more reliable reports and answers. The multi-model approach should reduce hallucinations and boost productivity, a Microsoft VP told Reuters.

How it works: 

  • Instead of relying on a single model, Critique uses one model to lead the generation phase—planning, retrieving information, and producing a draft—while a second model acts as an expert reviewer before the final output.

  • Microsoft says benchmarks show this architecture "delivers best-in-class deep research" compared to similar offerings from OpenAI, Google, and Perplexity. 

What else launched: Microsoft also unveiled Council, which runs Anthropic and OpenAI models side-by-side on the same query, then uses a judge model to summarize where they agree, diverge, or offer unique insights. Both Critique and Council are available now in Microsoft's Frontier program.

The bigger picture: Surface-level chatbot answers aren't enough anymore. Deep research (where models plan, iterate, and cross-check) is becoming the new standard. 

Qodo Raises $70M for AI Code Verification

As AI coding tools generate line after line of code, a new challenge is emerging: making sure any of it actually works. Qodo, a startup building AI agents for code review, testing, and governance, just raised $70 million to tackle the problem.

What Qodo does: While most AI review tools focus on what changed in a commit, Qodo focuses on how changes affect entire systems—factoring in organizational standards, historical context, and risk tolerance. The company recently hit some impressive benchmarks. It ranked No. 1 on Martian's Code Review Bench, scoring over 10 points ahead of the next competitor and 25 points ahead of Claude Code Review.

Who's using it: Qodo already works with Nvidia, Walmart, Red Hat, Intuit, and Texas Instruments, plus high-growth firms like Monday.com and JFrog. Qumra Capita led the funding round, and OpenAI's Peter Welinder and Meta's Clara Shih also participated.

The bigger picture: Vibe coding is taking over, but faster output doesn't mean reliable software. As enterprises adopt tools like OpenClaw and Claude Code, trust in AI-generated code is becoming the real bottleneck. Qodo's raise is further proof that verification may be the next big market.

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Jobs, announcements, and big ideas

  • Google began testing an AI-powered inbox in Gmail for US users subscribed to its Google AI Ultra plan.

  • OpenAI released a ChatGPT app for Apple CarPlay alongside support for iOS 26.4.

  • Perplexity created a new Secure Intelligence Institute focused on AI security, privacy, and trust research.

  • Meta announced new Ray-Ban AI glasses optimized for prescription lenses.

  • A Science.org study found that overly agreeable AI chatbots may reduce prosocial behavior and increase user dependence.

  • Anthropic partnered with the Australian government on AI safety research and announced a $3 million grant program.

  • Softr introduced an AI-native no-code platform for creating business applications.

Anthropic goes absolutely wild! Follow along as I walk through an insane week of AI news.

That’s a wrap! See you Friday for more.

—Matt (FutureTools.io)