The Deep View

AI is often sold as a utopian story. Unlimited abundance. Endless productivity. A better future for everyone. But behind that narrative is a very different reality, one driven by power, control, and a race that few people fully understand. We went deep on this topic in our first long-form, written by Nat Rubio-Licht. We believe this is one of the most important AI stories published this year. Read it here: thedeepview.com/articles/the-r…

Today for @theDeepView: OpenAI announced it's support of two safety bills, the grand opening of a DC workshop, and outlined it's support for "intelligence as a utility" in a blog post. But with so much power in it's hands, it's important to question the incentives. Read my latest: thedeepview.com/articles/opena…

⚙️ Special episode alert! Senior reporter Sabrina Ortiz (@sabrinaa_ortiz) sits down with Mindy Brooks, VP of Product for @Google @Android, in an exclusive interview on The Deep View Conversations. 📺 Watch on YouTube: youtube.com/watch?v=0JcTQX… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/43-an… Brooks explains why Google is focusing its AI strategy on Android around saving users small amounts of time across dozens of daily tasks. The conversation explores how Android is evolving from an operating system into a more personalized, context-aware "intelligence system" powered by Gemini. Topics covered include: + Rambler for Gboard, Google’s new AI-powered voice dictation system to rival Wispr Flow + The expansion of Task Automation across more apps + How Create My Widget uses AI to generate custom widgets on demand + How Intelligent Autofill is powered by Gemini's Personal Intelligence + The Android AI feature Brooks personally uses the most

⚙️ New episode of The Deep View Conversations: Dr. Olena Zhu of @Intel. What happens when AI moves from cloud-only to running everywhere, including on your laptop, your phone, and other devices around you? In this episode, senior reporter Sabrina Ortiz sits down with Olena Zhu, who leads AI for the client computing group at Intel, to explore one of the biggest shifts underway in AI: the move toward accessible, affordable, and privacy-first AI systems. Zhu explains why the economics and infrastructure demands of cloud-only AI may not scale indefinitely, and why on-device AI could become a critical part of the industry's future. She also reflects on the evolution from traditional AI systems to LLMs and now to agentic AI, and why this wave feels fundamentally different from the hype cycles that came before it. The conversation also dives into how AI is changing the way people work, learn, and experiment, including the surprising mindset Zhu believes helps people get the most value from AI tools today. Topics covered include: + Why cloud-only AI has limits + The future of on-device and edge AI + AI affordability, energy use, and data sovereignty + How agentic AI changed Zhu’s workflow + Why experimentation matters more than expertise + Intel’s vision for privacy-first AI systems + The hidden infrastructure challenge behind AI growth + Why AI adoption may depend on trust and accessibility If you're concerned about the affordability, accessibility, and privacy of AI, you don't want to miss this episode. 📺 Watch on YouTube: youtube.com/watch?v=VwE7qO… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/42-wh… Subscribe to Deep View Conversations for interviews with the leaders shaping the future of AI, business, and technology. And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

Exclusive: OpenAI and a coalition of researchers from Nvidia, Microsoft, AMD, Broadcom and Intel, unveiled a new open source networking protocol called MRC, designed to make GPU clusters more reliable and efficient. Already in production at both OpenAI and Microsoft data centers, one OpenAI researcher told @TheDeepView that this protocol is a “critical component” to the company’s compute strategy. 🔗 Read more in our story from Nat Rubio-Licht (@natrubio__) thedeepview.com/articles/exclu…

I've spent the past few weeks reading 100s of public data sources about AI development. I now believe that recursive self-improvement has a 60% chance of happening by the end of 2028. In other words, AI systems might soon be capable of building themselves.

New from @sabrinaa_ortiz: OpenAI just released an upgrade to it's instant model that promises to make ChatGPT more accurate - an important improvement given how many people use the chatbot every day. Read more about it in @theDeepView thedeepview.com/articles/chatg…

In the latest episode of The Deep View Conversations, we sit down with Alex Rinke, co-founder and co-CEO of @Celonis, to unpack one of the most overlooked truths in enterprise AI. Don't miss it: tdv.transistor.fm/episodes/41-wh…

Last month, @TheDeepView published a longform story that raised the red flag about AI power centralizing into too few hands. Yesterday, Sam Altman published a manifesto calling for AI to be decentralized. thedeepview.com/articles/altma…

AWS CEO Matt Garman says we're rapidly moving toward a world of 1 billion agents. And he says Amazon is hiring more developers than it ever has and only sees that accelerating. Amazon is hiring 11,000 roles more broadly in 2026. And "the jobs will be a little different." It will be more valuable to solve customer problems and understand how all the tech pieces fit together. People will spend more time on the highest value things.

NEW: To commemorate Google Translate’s 20-year anniversary, the company launched pronunciation practice, which uses AI to analyze your speech and give you instant feedback. The feature is now available in the US and Infia in English, Spanish and Hindi. Google says it is one of its most-requested features.

⚙️ New episode alert! Analysts, marketers, and business owners face the same question: How do you reach audiences in an era when AI is reshaping how people search and find information they need? That’s a top-of-mind issue for Pat Brown, SVP of global marketing, growth, analytics, and platform at @Adobe. Brown joins The Deep View Conversations to share his unique perspective on the issue, with the expertise of someone who was doing marketing science before it was even called that, and who, in his current role, is responsible for global marketing execution across various forms of media and has to put these skills into practice every day. Pat breaks down how AI is moving beyond content generation to reshape media workflows end-to-end, from audience measurement to agents that automate entire processes. Topics covered: + The role of AI agents in automating marketing workflows + How AI in marketing can augment rather than replace creativity + AI-powered marketing tools that help analyze patterns and signals + Whether AI has “killed” SEO and what that means for marketers’ jobs + The rise of new terms like AEO and GEO in a “zero-click” search world + Why it’s still worth investing in marketing and brand strategy despite AI changes + Why today’s AI-driven SEO landscape feels like the early days of SEO If you want to understand how AI is reshaping and helping individuals connect more effectively with audiences, this conversation will leave you feeling more knowledgeable about those topics. 📺 Watch on YouTube: youtube.com/watch?v=j_vo4W… 🎧 Listen in your favorite podcast player: tdv.transistor.fm/episodes/40-ho… Subscribe to the podcast for weekly conversations with the leaders shaping the future of AI. And don't forget to sign up for The Deep View daily newsletter. We don’t just cover AI, we decode it. In a world flooded with hype, we deliver sharp, no-nonsense insights to keep you ahead of the curve and help you put AI to work every day: subscribe.thedeepview.com

Another insight on GPT-5.5 from my article on The Deep View: The OpenAI team said the model itself and the company's agentic coding tool Codex were used to build GPT-5.5. This process of the models helping to build themselves is called recursive self-improvement (RSI) and it has long been anticipated as a moment when AI would take a dramatic leap forward. If you're not familiar with RSI yet, it's time to start learning. Full story: thedeepview.com/articles/opena…

For GPT-5.5, let's talk about safety. Because the model is lot more powerful and a lot more agentic, safety had to scale up to match. And the press talked about this with the OpenAI team. In a briefing earlier this morning, OpenAI VP of Research @Mia_Glaese said the company increased its safety protocols to match the new model by undergoing third‑party safeguard testing and red‑teaming for both cybersecurity and bioweapons risks. As a result, the model ships with a stronger set of safeguards and users will see more refusals from the model for cyber‑related misuse attempts. Glaese also said GPT‑5.5 is not cyber‑permissive (unlike Claude Mythos) but has cyber mitigations and is being launched with those protections in place. Basically, the guardrails are stricter and more visible to users, according to OpenAI. I'm confident people on Twitter are going to be kicking the tires on that to see how easily they can hit guardrails.

RT @jasonhiner: Okay, @OpenAI's GPT-5.5 has landed. My quick take on the most important new features: + Most agentic model yet + Paves th…

The crown jewels of Google Cloud Next announcements are the new TPU 8t and 8i chips. Got a close look during last night’s media preview, pictured below. Why it matters: Each chip is focused on training and inference, respectively, which could make AI computing faster and more efficient for those specific workloads. Specifically interesting because this draws focus to TPUs, which are often overlooked while GPUs get most of the attention.

seeing an Apple logo on a Google stage was not on my 2026 bingo card

@jasonhiner @theDeepView I’ve been a subscriber for several months. I highly recommend @TheDeepView. Sophisticated stuff lands in my email every day.

RT @jasonhiner: I've spent a lot of my career writing and editing longform journalism at ZDNET, CNET and TechRepublic, won multiple awards,…

The robots are doing backflips. They're fighting. They're organizing rooms and running marathons. And the more they show off, the higher the expectations climb. But here's the question nobody's really stopping to ask: why does AI need a body at all? Why two legs, two arms, a head? Why does it need to look like us? Nat Rubio-Licht (@natrubio__) did a deep dive inside the race to create humanoids to find out. The answer is more fascinating, and more unsettling, than you'd expect. 🔗 thedeepview.com/articles/the-r…