From storyflo. This is your daily audio brief. Hey, it's Theo. July 22nd. Here are five stories I'd flag if you missed yesterday's end-of-day. Let's get into it. First, from AI News. SenseTime’s Galaxy Project targets domestic AI chip scale-up. SenseTime's Galaxy Project is a collaborative effort with nearly 20 partners to scale domestic AI chip infrastructure in China. The project aims to create a closed loop connecting chip-level technology, ecosystem partnerships, and commercial deployment for domestically-produced AI computing power. SenseTime claims its large-scale device platform now processes an average of 2.42 trillion tokens daily, with a forecasted 25-fold increase to 10 trillion tokens per day by the fourth quarter of 2026. The company says its heterogeneous hybrid inference technology delivers an 85-152 percent increase in Model FLOPs Utilisation on mainstream domestic chips, and inference cost-effectiveness 1.25x that of Nvidia's H-series parts. However, these figures have

From storyflo. This is your daily audio brief. Hey, it's Theo. July 22nd. Here are five stories I'd flag if you missed yesterday's end-of-day. Let's get into it. First, from OMG Ubuntu. Ubuntu 26.10 lets you check if your PC is officially certified. So, I was digging into the new Ubuntu 26.10 release and I stumbled upon this really cool feature. They've added a way to check if your PC is officially certified from the Settings app. It's super simple, you just go to Settings, click on System, then About, and there's a new row that says "check if this computer is Ubuntu Certified". Clicking on that opens a new page that checks your hardware against Canonical's database. It also gives you the option to enable regular checks, which sends your hardware details to Canonical's servers to verify certification status. No personal data is shared, just the hardware details. Next. Second, from Design School. Short curtains are back and I'm not sorry.. I've been thinking about the rules we follow in

From storyflo. This is your daily audio brief. Hey, it's Theo. July 22nd. Here are five stories I'd flag if you missed yesterday's end-of-day. Let's get into it. First, from Cryptobriefing. US strikes target Iranian military sites to secure Strait of Hormuz shipping. US strikes target Iranian military sites to secure shipping. Iranian military action against a Gulf state on July 22 at 77.5% YES. The post US strikes target Iranian military sites to secure Strait of Hormuz shipping appeared first on Crypto Briefing. On the markets — Kalshi traders have been actively repricing this story in the last day. Next. Second, from Cryptobriefing. Iran redeploys air defenses in Tehran amid US-Israel tensions. I've been reading about this Iran thing, and it's got me thinking about the mechanics of geopolitics. So, apparently, Iran's been redeploying its air defenses in Tehran, which is a pretty significant move. They're essentially closing off the airspace above the city by August 31, which is a pr

From storyflo. This is your daily audio brief. Theo, July 21st. The systems update — five tech stories that bear on what's coming next. Let's get into it. First, from CoinTelegraph. Movement Labs files for Chapter 11 bankruptcy after months of MOVE token turmoil. The blockchain developer will continue operating under court supervision as it restructures following a market-making scandal, a co-founder’s suspension, and exchange delistings that rocked the project. Next. Second, from Thedefiant. Movement Labs Files for Chapter 11 Bankruptcy. MVMT Labs, Inc., the developer behind the Movement blockchain, filed for Chapter 11 bankruptcy in the U.S. Bankruptcy Court for the District of Delaware on July 15, according to the court docket. The voluntary petition, docketed as case number 26-11113 and assigned to Judge Thomas M. Horan, lists... Up next. Third, from Cryptobriefing. Movement Labs files for Chapter 11 bankruptcy after turbulent year. Movement Labs has entered bankruptcy protection f

From storyflo. This is your daily audio brief. Theo, July 21st. The systems update — five tech stories that bear on what's coming next. Let's get into it. First, from MIT Technology Review · AI. China’s AI models have Trump’s AI world at war with itself. You know how there's been all this fuss about China's AI models lately? Well, it's not just about the models themselves, but how they're changing the landscape for US companies like OpenAI and Anthropic. See, these Chinese models are not only free, but they're also getting better and better, with Kimi being the latest example. It's like a wake-up call for the US, because if these models are strong enough to rival the ones from OpenAI and Anthropic, then US companies might not need to pay for them anymore. This is causing a rift among Trump's advisors, with some like David Sacks saying that more open AI is better, while others like Emil Michael think that the government needs to intervene to control how these models are used. The White

From storyflo. This is your daily audio brief. Theo, July 21st. The systems update — five tech stories that bear on what's coming next. Let's get into it. First, from Ars Technica. The Space Force is now seeking to buy up to $30 billion in rocket launches. It seems as though $5.6 billion wasn't enough. That was the news from the US Space Force on Friday, when military officials announced they were tripling the maximum value of one of the service's National Security Space Launch contracts to $17 billion. The expansion of the Space Force's National Security Space Launch (NSSL) Phase 3 contract comes as the Pentagon signals rising demand for military satellite launches. Next. Second, from The Verge. SpaceX in your index fund, explained. Index funds are touted as one of the safest ways to invest. Rather than picking and choosing individual stocks, index funds let you bet on the market as a whole. So what happens when a company like SpaceX - a giant gamble, and, in my opinion, terribly over

From storyflo. This is your daily audio brief. Theo here. July 20th, tech desk. Five stories from the last twenty-four hours — here's where I'd start. Let's get into it. First, from AI News. Kimi K3 open-weight model: China’s biggest AI is a bet on memory, not compute. Moonshot AI’s Kimi K3 open-weight model has been read almost entirely through its parameter count since it launchedon July 16. At 2.8 trillion parameters, it is the largest open-weight model released to date. Model sizes are usually grouped into rough brackets, and 2.8 trillion rounds into what the industry calls the 3T class. A tier no openly available model had entered before. The natural conclusion is that Moonshot has engineered its way around US compute restrictions. Next. Second, from AI News. US public health agencies to test OpenAI and Anthropic AI models. Public health agencies are getting a sandbox: the PULSE programme hands ten jurisdictions enterprise‑level licenses from OpenAI and Anthropic, but it doesn’t s

From storyflo. This is your daily audio brief. Theo here. July 20th, tech desk. Five stories from the last twenty-four hours — here's where I'd start. Let's get into it. First, from Hackaday. Seven Ways to Install Magnets Into Your 3D Prints. Magnets are awesome, so it’s no wonder we love to add them to our 3D prints. Doing so in a way that will actually last is harder, with thermal creep being one reason a simple friction fit will loosen over time, and using super glue to hold a magnet in place can be messy. Next. Second, from The Register. AI ops tools will create console sprawl and break IT more often: Gartner. Gartner predicts that by 2030, AI will handle a quarter of the work performed by IT infrastructure and operations people, but this shift will initially create more complexity and potentially lead to outages. In the near term, AI-powered automation will result in console sprawl, with more layers, control points, and specialized tools. This pain will lessen as the market and ve

From storyflo. This is your daily audio brief. It's Theo. July 19th, tech roundup — five stories, here's number one. Let's get into it. First, from The Decoder. AI chatbots reading X-rays can be dangerously confident even when they're wrong. So I was digging into this benchmark test called RadLE 2.0, and it's specifically designed to see how well AI models do in radiology - basically, how well they can read X-rays and diagnose problems. The thing that caught my attention is that a lot of these AI models are delivering wrong findings, but they're doing it with complete confidence. It's like they're saying, "Yeah, I'm 100% sure this is what's going on," even when they're not even close. What's really interesting is that human radiologists are still way ahead in terms of accuracy, even when they're not 100% confident in their diagnoses. It's like these AI models are overestimating their abilities, and that's a problem. If we're going to rely on AI to make medical diagnoses, we need to mak

From storyflo. This is your daily audio brief. It's Theo. July 19th, tech roundup — five stories, here's number one. Let's get into it. First, from Slashdot. 'Grok Build' Coding Tool Open Sourced This Week, Promises to Respect Zero Data Retention. Hey, I just got done reading about this thing that happened with SpaceX's Grok Build coding tool. So, it turns out that researchers caught the tool scooping up users' entire repositories and uploading them to company-controlled cloud storage, which was a huge red flag. Elon Musk felt compelled to issue a public statement promising to delete all data that Grok Build has ever stored and give users more choice over how their data is handled. To make things right, SpaceX decided to open-source the Grok Build CLI, which is a big deal. The codebase is massive, with over 844,000 lines of Rust code. It's worth noting that some remnants of the old code that used to upload data to Google Cloud are still there, but they've been disabled. SpaceX is also