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Good morning, AI enthusiasts. Years of watching Siri get lapped by ChatGPT and Gemini just got a reply. Apple unveiled Siri AI at WWDC26, and it's not a small update. The rebuilt assistant has onscreen awareness, cross-device memory, and a dedicated app that syncs conversations via iCloud across iPhone, iPad, Mac, Apple Watch, and Vision Pro. Has Apple finally closed the AI gap?
In today's recap:
Apple rebuilds Siri as a dedicated AI app
OpenAI files confidential S-1 for IPO
Build multi-step research workflows with NotebookLM
Apollo and Blackstone close $35B Anthropic chip deal
4 new AI tools, prompts, and more
APPLE
Apple rebuilds Siri as a dedicated AI app
Apple
Recaply: Apple just unveiled Siri AI, a full rebuild of its assistant with onscreen awareness, cross-device memory, and a dedicated app that syncs conversations across all Apple devices via iCloud.
Key details:
Siri AI reads what's on a user's screen and answers questions about it, with the assistant also searching messages, emails, and photos and pulling real-time answers from the web.
The update ships with iOS 27, iPadOS 27, and macOS 27 "Golden Gate," with apps opening 30% faster, photos loading 70% faster, and AirDrop running 80% faster.
Siri AI runs on Apple's on-device models and Private Cloud Compute, with Apple saying user data isn't stored or shared and that outside experts can verify this at any time.
Developer testing started June 8, with a public beta arriving later in 2026. Visual Intelligence expands from iPhone to iPad, Mac, and Vision Pro.
Why it matters: Apple fell behind in AI for two years while Google and OpenAI kept shipping. WWDC26 is its reply. Siri AI isn't a small update. It's a full rebuild with its own app, cross-device memory, and screen awareness. Apple is betting it can win on privacy while rivals ask users to share their data. If it works, it could pull millions of users into AI tools they've been ignoring.
PRESENTED BY VIKTOR
Six people doing the work. Your headcount is one.
Your finance close runs in #finance. Stripe and QuickBooks reconciled, runway updated, posted Sunday night without you asking.
Engineering review lands in #eng. Viktor pulled the open PRs, left comments on auth-refactor, flagged a dependency blocking api-pagination.
Campaign brief lands in #growth: Meta CPA up 18%, recommendation to pause broad match, a draft landing page already deployed for the variant test.
You hired him on day zero. He lives in Slack and Microsoft Teams alongside your contractors and investors, connects to 3,000+ tools, pushes back when you ship something dumb.
"Viktor is now an integral team member, and after weeks of use we still feel we haven't uncovered the full potential." Patrick, Director, Yarra Web.
OPENAI
OpenAI files confidential S-1 for IPO
OAI
Recaply: OpenAI just filed a confidential S-1 with the SEC, putting itself on track for a public listing, with the company announcing the filing itself because it expected the news to leak.
Key details:
The S-1 is confidential, meaning pricing and timeline haven't been set, with OpenAI able to gauge investor interest before disclosing terms publicly.
OpenAI was last valued at $852B after raising $122B in March 2026, and it projects burning $85B in 2028 even as revenue doubles.
The filing follows Anthropic's confidential S-1 by less than two weeks, with SpaceX also heading for a listing at a $1.75T valuation, making three closely watched companies potentially going public within months of each other.
No pricing or date has been set. OpenAI says it won't be cash-flow positive for at least four more years.
Why it matters: AI labs have spent years raising private money at sky-high valuations. An OpenAI IPO would force a real market verdict. The company is burning a lot of cash and projects huge losses for years to come. Public markets can't be as patient as private investors. The contrast with Anthropic, which is near its first profit, will be hard to ignore. Investors will be deciding whether AI's costs ever stop compounding.
GUIDES
Build multi-step research workflows with upgraded NotebookLM
Recaply: In this tutorial, you will learn how to use the upgraded NotebookLM as a full research agent, running multi-step queries across your uploaded sources with full citation trails.
Step-by-step:
Go to notebooklm.google.com and create a new Notebook. Upload your sources by clicking Add Sources, supporting PDFs, articles, Google Docs, and plain text files.
Ask a broad research question in the chat. Antigravity automatically breaks it into sub-tasks and runs them in order against your uploaded sources.
Review each sub-task output. Every finding links back to the source it came from. Nothing is pulled from outside your uploads.
Open the Notebook Guide panel and set your output format (summary, outline, FAQ, or custom). Click Generate to combine all findings into a structured document.
Export as a Google Doc or copy the output to your writing tool. The source citation trail stays intact for every claim.
Pro tip: For competitive research, upload competitor content alongside your own notes. Ask NotebookLM to compare positioning directly. It won't pull from the web and stays inside your sources only.
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ANTHROPIC
Apollo and Blackstone close $35B Anthropic chip deal
Recaply: Apollo and Blackstone just secured $35B in chip financing for Anthropic in what's reported as the largest single AI infrastructure deal to date, giving Anthropic large-scale chip capacity without buying hardware outright.
Key details:
Apollo and Blackstone take on the infrastructure cost and lease chip capacity back to Anthropic, letting the company scale compute without a direct hardware purchase.
$35B is the largest single AI infrastructure financing deal reported, following Anthropic's confidential S-1 filing and a valuation that puts it ahead of OpenAI on profitability outlook.
Private capital funds are stepping in where banks have been more cautious, with the structure treating AI compute as an infrastructure asset similar to data centers or fiber networks.
The deal was reported June 9. No start date for chip deployment has been disclosed.
Why it matters: This deal signals that Wall Street is treating AI infrastructure as a long-term asset, not a speculative bet. Private equity is now building the physical layer that AI labs run on. That's a different kind of confidence than venture funding. It means Anthropic can scale compute without diluting equity or taking on more debt ahead of its IPO. The model is starting to look like how telecoms built their networks in the 1990s.
TOOLS
Trending AI Tools
🤖 Siri AI - Apple's rebuilt AI assistant with onscreen awareness, cross-device memory, and its own app for iPhone, iPad, Mac, and Vision Pro
🧠 NotebookLM - Google's upgraded research agent, now powered by Gemini 3.5 and Antigravity for multi-step research with source citations
💻 Kimi Work - Moonshot AI's workplace agent for long documents and background task automation
⚡ Genspark Skills - Reusable task flows that chain tools and APIs on the Genspark platform, now in early access
NEWS
What Matters in AI Right Now?
Google upgraded NotebookLM with Gemini 3.5 and a new system called Antigravity, letting it run multi-step research tasks, not just answer questions from uploaded sources. The upgrade lands as NotebookLM crosses 20M monthly users.
Moonshot AI launched Kimi Work, a dedicated workplace agent for research, writing, and background task automation that supports long documents and runs tasks in the background. Free and paid tiers are available now.
Genspark introduced Skills, a task automation layer that lets users build reusable flows across the Genspark platform, with Skills able to chain tools and APIs. The feature is in early access.
OpenAI added interactive charts to ChatGPT, letting users ask for data visualizations and get editable charts they can adjust directly in the chat window. Rolling out to Plus and Pro users now.
Anthropic confirmed its Mythos model can analyze software patches and find exploitable vulnerabilities in minutes, with New Zealand's NCSC now having direct access for defensive security research.
Microsoft disclosed that its open source tools were hacked to steal credentials from AI developers, targeting developer environments. Microsoft has patched the affected tools.
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Cheers, Jason
