From storyflo. This is your daily audio brief for June 22nd. Hey, it's Theo. June 22nd. Five things in tech that mattered this morning — let's start with the one that surprised me most. Let's get into it. First, from 9to5Mac. Apple Wallet’s Digital ID feature could potentially have a major new use case soon. Last year, Apple debuted Digital ID on iPhone, allowing users to use their US passport as identification in Apple Wallet. Apple’s been rolling out drivers licenses in Wallet slowly over the past few years, but that’s on a state-by-state basis. Digital ID is universal, allowing anyone with a passport to use it. Of course, you can use it at TSA checkpoints in airports – but Apple had a bigger scope in mind: digital age and identity verification. While not yet confirmed, it’s possible that we could see a first major implementation of this quite soon, in Claude. Next. Second, from 9to5Mac. These are the best new MacBook deals currently: June 2026 Buyer’s Guide. In the era of Apple Sili

From storyflo. This is your daily audio brief for June 21st. Theo here. June 21st, tech desk. Five stories from the last twenty-four hours — here's where I'd start. Let's get into it. First, from Towards Data Science. Reconstructing the Table of Contents a PDF Forgot to Ship, So RAG Can Scope by Section. I was playing with a PDF that prints a nice contents page but, oddly, the file itself has no outline. The trick is to pull the visual list back into a real hierarchy—first by running OCR on that page to grab the headings, then by scanning the rest of the document for matching strings and building a tree from the font sizes and indentation cues. The second angle skips OCR entirely: you feed the whole PDF through a layout engine that spots repeated header patterns, then you stitch those pieces together into a virtual table of contents. Both routes give you a clean, searchable map where none existed before. The part most people miss is the page‑alignment step. After you have the headings,

From storyflo. This is your daily audio brief for June 21st. Theo here. June 21st, tech desk. Five stories from the last twenty-four hours — here's where I'd start. Let's get into it. First, from The AI Corner. Your GTM, run by agents. So I was reading about this approach to building a go-to-market strategy, and what caught my attention is how it uses agents to run the motion. Essentially, you can encode an operator's rules into these agents, which can handle tasks like sourcing, enriching, sequencing, forecasting, and expanding. The idea is that your team focuses on the parts that require judgment and human interaction, like closing deals, while the agents take care of the rest. What's interesting is that most teams try to bolt AI onto a broken sales funnel, but this approach integrates operator-grade go-to-market strategies into a system that can run itself. It's built around an 8-agent stack, each with its own set of rules and workflows. There are three main workflows: a morning loo

From storyflo. This is your daily audio brief for June 20th. Hey, it's Theo. June 20th. Here are five stories I'd flag if you missed yesterday's end-of-day. Let's get into it. First, from The Decoder. NYU finance professor Damodaran warns an AI crash could hit harder than the dot-com bust. Damodaran’s point is that the AI wave is loading up debt‑heavy hardware, not just cloud‑based code. The sector’s been financing massive data centers, specialized chips and even new construction, so if the hype fizzles the balance sheets could look a lot like the dot‑com collapse—only with bigger loan books and more tangible assets to write off. He also worries about the business model that’s being sold: replace whole job functions rather than augment them. Even if the technology works, the ripple effects on employment and the broader economy are still fuzzy, and that uncertainty could amplify any downturn. Next. Second, from The Decoder. OpenAI's Codex can now watch you work once and repeat the task

From storyflo. This is your daily audio brief for June 20th. Hey, it's Theo. June 20th. Here are five stories I'd flag if you missed yesterday's end-of-day. Let's get into it. First, from Hackaday. How LLMs can be Assisted to do Arithmetic Correctly. I’ve been thinking about why language models still stumble over something as simple as “2 + 2”. The core issue is that an LLM is just a probability cloud—it predicts the next token, not a deterministic answer. So when you ask it to add, it can wander off and even count the wrong number of letters in “strawberry”. Alvaro Videla tried to patch that gap with his Rune project. Instead of handing the request off to an external calculator, Rune watches the model’s internal state, spots when an arithmetic pattern is forming, and injects the correct result right back into the inference stream. In theory, the model continues as if it had solved the problem itself. The experiment showed that you can nudge the model toward the right answer, but it’s

From storyflo. This is your daily audio brief for June 19th. Quick one from Theo — five tech stories from overnight, ordered by how much they made me sit up. Let's get into it. First, from The Decoder. Google Deepmind treats its own AI agents like rogue employees with office keys. I’ve been thinking about how DeepMind is handling its own AI, and it’s kind of a twist on internal security. Instead of treating the agents as just tools, they’re being flagged like a rogue employee who somehow got a copy of the office key—so they get the same kind of monitoring and access controls you’d give a human who might go off script. What’s interesting is the “AI Control Roadmap” they rolled out. It ties specific security steps to measurable capabilities of the models, so as the AI gets better at coding or decision‑making, the safeguards scale up automatically. Their data on a million coding tasks shows most of the hiccups come from agents being overly eager, not from any malicious intent, which shift

From storyflo. This is your daily audio brief for June 19th. Quick one from Theo — five tech stories from overnight, ordered by how much they made me sit up. Let's get into it. First, from TechCrunch. ‘Queer Eye’s’ life coach Karamo Brown launches Kē, a wellness app featuring his AI digital clone. Karamo Brown, famous for his pep talks on Netflix’s “Queer Eye,” has jumped into the wellness and AI space with his new app, Kē. After spending a year and a half focusing on his own journey—from fitness and nutrition to meditation, sobriety, relationships, and personal growth—Brown wants to help others do the same.  Kē offers […] Next. Second, from Ars Technica. Hunter-gatherers in Siberia died of a plague outbreak 5,500 years ago. Plague swept through groups of hunter-gatherers in southeastern Siberia 5,500 years ago, leaving dozens dead in its wake—with DNA from Yersinia pestis bacteria still trapped inside their teeth. University of Oxford ancient DNA researcher Ruairidh M

From storyflo. This is your daily audio brief for June 18th. Hey, it's Theo. June 18th. Here are five stories I'd flag if you missed yesterday's end-of-day. Let's get into it. First, from storyflo · A.I.. Theo on A.I. · June 17th. From storyflo. This is your daily audio brief for June 17th. It's Theo. June 17th, tech roundup — five stories, here's number one. Let's get into it. First, from AI News. Google Cloud generative AI automates council planning operations. Government ministries are deploying Google Cloud generative AI across municipal agencies to automate council planning operations. Public sector administration handles vast volumes of unstructured data that delay infrastructure development. The UK central government established a target to construct 1.5 million new homes by 2029. Next. Second, from TechCrunch AI. NEA’s Tiffany Luck on AI IPOs, personal agents, and the ROI reckoning. I’ve been thinking about how the token‑maxxing craze fizzled out faster than anyone expected. CE

From storyflo. This is your daily audio brief for June 18th. Hey, it's Theo. June 18th. Here are five stories I'd flag if you missed yesterday's end-of-day. Let's get into it. First, from mlwhiz. MLWhiz Weekly Recsys/ML/GenAI Newsletter # 11 - The week US government pulled a frontier model offline on a letter. Hey, Rahul here! 👋 Each week, I publish long-form ML+AI posts covering ML, AI, and System design for MLwhiz. Paid subscribers also get how-to guides with full code walkthroughs. I publish occasional extra articles. If you’d like to become a paid subscriber, here’s a button for that: I love keeping track of everything week to week — here’s what happened this week. Enjoy this free weekly post! For those who want to dive deeper into any of these topics, that’s what my paid posts are for. I didn’t think I’d watch a national government reach into a private company and switch off its best model this decade. On Friday, June 13, the Commerce Department sent Anthropic an enforcement lette

From storyflo. This is your daily audio brief for June 17th. It's Theo. June 17th, tech roundup — five stories, here's number one. Let's get into it. First, from AI News. Google Cloud generative AI automates council planning operations. Government ministries are deploying Google Cloud generative AI across municipal agencies to automate council planning operations. Public sector administration handles vast volumes of unstructured data that delay infrastructure development. The UK central government established a target to construct 1.5 million new homes by 2029. Local planning authorities encounter administrative backlogs caused by dense paperwork, delaying these development timelines. To address these constraints, the Ministry of Housing, Communities and Local Government (MHCLG) and the Department for Science, Innovation and Technology (DSIT) expanded two machine learning tools designed to accelerate municipal processing. Speaking at the Google Cloud Summit London, officials confirmed