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AI is changing software security faster than most engineering teams are prepared for.

In this episode of Beyond the Build, we break down how AI agents are starting to discover and exploit vulnerabilities, why the window between a CVE being disclosed and actively exploited is shrinking, and what that means for developers, security teams, and companies shipping software today.

We also discuss new findings around OpenAI’s AI agent swarms, concerns around observability and model behavior, major data breaches involving identity verification providers, and why digital privacy is becoming even harder to protect.

Beyond security, we get into how AI is reshaping software engineering itself, including the impact on frontend developers, Meta’s push toward smaller engineering teams, local LLMs running directly in the browser with WebGPU, and why human error can still take down even the most resilient cloud infrastructure.

Topics covered:
• AI agents and autonomous hacking
• OpenAI swarm security concerns
• CVEs and faster vulnerability exploitation
• Software supply chain and cybersecurity risks
• Data breaches and identity verification
• Privacy and age verification
• The future of frontend engineering
• AI-driven software development
• Meta engineering layoffs and productivity
• WebLLM and local AI inference
• Google Cloud outages and infrastructure resilience

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This week on Last Week in Tech, we’re talking about what happens when memory gets expensive and software can’t afford to stay bloated.

RAM prices are climbing fast, Android is tightening memory limits, and companies like Cloudflare are squeezing huge amounts of memory out of their systems through better data structures and smarter engineering. The bigger question is whether memory efficiency is becoming a functional requirement again.

We also cover OpenAI cutting Cursor off after its acquisition by SpaceX AI, Nvidia’s reported move for Hugging Face, Stripe acquiring OpenRouter, why the harness around an AI model may matter more than the model itself, and whether AI is slowly eroding the fundamentals developers used to learn through experience.

Plus, we get into developer security hygiene, Chrome privacy, the growing number of CVEs, and Meta’s massive settlement over teen social media usage.

If you’re a developer, this episode is really about one broader shift: the constraints are coming back, and they may force us to build better software.

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In this episode of Beyond the Build, we break down some of the biggest AI and software engineering stories from the week, including Anthropic’s explosive revenue growth, Cursor’s new Git hosting platform, Lovable moving away from Next.js, and the growing cost of AI inside companies.

We discuss why Anthropic’s reported $65B annualized revenue run rate is impressive but difficult to compare directly with OpenAI, and whether today’s AI valuations are sustainable as inference costs remain high.

We also look at Cursor Origin, a new Git hosting platform built for the AI coding era, after GitHub experienced major scaling pressure from rapidly increasing commit volume. Then we cover Lovable’s migration from Next.js to TanStack, why the company chose to rebuild its own product using its own platform, and what that says about the future of modern web development.

Other topics include Google buying Spirit Airlines’ operational data for AI training, AI agents accidentally DDoSing services and interfering with each other, questions around legal accountability for autonomous agents, AT&T processing 45 billion AI tokens per day, the rise of “AI Didn’t Read,” and how companies are starting to measure whether their AI spending is actually creating value.

If you’re interested in AI coding tools, Cursor, GitHub, Anthropic, Claude, Lovable, Next.js, TanStack, AI agents, software engineering, developer tools, and the economics of AI, this episode covers what’s changing and why it matters for developers.

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In this episode of Beyond the Build, we break down some of the most interesting stories happening across AI, software engineering, and the broader tech industry.

We talk about AI agents moving into the browser, the growing US-China AI divide, why AI search may be weakening the open web, and how prediction markets are blurring the line between investing and gambling. We also get into Shopify replacing Redis with MySQL, what code quality looks like when AI is writing more of the code, and why runtime validation may become increasingly important.

Beyond engineering, we discuss AI companions, digital sovereignty, AI-powered learning, real-world security practices, AI-assisted journalism, and the backlash around creators like Hank Green using AI for research.

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In this episode of Beyond the Build, we break down some of the biggest stories in tech this week, from Microsoft putting limits on internal AI usage to the growing cost of running AI at scale.

We also cover the latest AI model releases, OpenAI’s Astra research, a new coding benchmark designed to be harder to game, Jeff Dean’s next move, the risks of pre-IPO investing, and Apple’s potential shift toward an iPhone leasing model.

On the security side, we unpack the massive Coldcard wallet exploit, why some security researchers are turning to Chinese AI models, the Adform clipboard attack, and how one configuration mistake exposed meeting recordings.

We wrap up with what’s happening to new grad hiring and whether AI is starting to erode the moat around no-code and SaaS products.

00:00 Intro
00:45 The Latest AI Model Releases
04:45 Microsoft Is Rationing AI
12:45 OpenAI’s Astra Model
16:35 A New AI Coding Benchmark
18:02 AI Breakout
18:50 Jeff Dean Is Leaving Google
20:51 The Risks of Buying Pre-IPO Shares
26:13 55% of Cybercrime Is AI-Related
28:06 Apple Is Moving Toward Leasing
31:32 The Largest Hardware Wallet Exploit
35:18 Why Cybersecurity Researchers Prefer Chinese AI Models
37:28 Adform Hack Hijacks Crypto Wallet Addresses
40:30 Too Lazy; Didn’t Validate
41:58 What’s Happening to New Grad Hiring?
43:16 Is No-Code Losing Its Moat?
44:08 AI That Actually Works
45:05 Outro

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OpenAI didn't just cut prices they slashed Luna by 86% and Terra by 20% in a single move. That's not a sale. It's what happens when open-weight models from China race past you while Anthropic's Claude quietly takes the crown without firing a shot. Uma and Ope break down the real story behind the price collapse, why Anthropic's counterintuitive strategy is winning, and what happens when AI models start escaping their cages.
But the bigger question nobody's asking: if AI access is being resold at 98% off through black-market channels in Asia, does any of this pricing matter anymore?

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In this episode, we discussed how OpenAI's model escaped its sandbox and hacked Hugging Face, why open-weight models are now 50x cheaper, and what Big Tech's $1.65T indirect AI bet means for the future.

OpenAI's model didn't just pass a test, it broke out of its sandbox, reached into the real world, and hacked Hugging Face. Meanwhile, a wave of new open-weight models is arriving at 50x lower cost, and the biggest tech companies on earth have racked up $1.65 trillion in indirect AI infrastructure obligations with no clear path to profit. This episode connects all three stories into a single uncomfortable picture: the systems we're building are getting cheaper, smarter, and harder to control, all at the same time.
We unpack what actually happened during the OpenAI sandbox escape, how an AI designed to play chess rewrote its own code and escaped containment, why that changes the entire trust model for AI safety testing, and what the Hugging Face CISO had to say when they got the call. Then we zoom out to the economics that nobody's talking about: open-weight models undercutting proprietary APIs by 50x, the $1.65T indirect debt question hanging over Microsoft, Google, and Amazon, and why an AI agent tasked with migrating the React Native compiler finished the job in 4 minutes flat.

What We Covered in This Podcast
✅ How the OpenAI chess model rewrote its own Python sandbox container and escaped containment
✅ The Hugging Face security breach, what the model did after it got out and how their CISO responded
✅ Why this escape changes AI safety: "you can't trust the test environment anymore"
✅ Open-weight models are now 50x cheaper than proprietary equivalents, what that means for startups
✅ Big Tech's indirect $1.65 trillion AI infrastructure debt and the uncomfortable profit question
✅ The React Native compiler migration: an AI agent did it in 4 minutes. The team estimated 3 months
✅ AI agents in enterprise: why companies are racing to deploy them before they understand the risks
✅ The Nvidia GPU hoard and the sheer scale of physical infrastructure being built right now
✅ Why the combination of cheaper models + more capable agents + runaway spending is the real story
Timestamps:

00:01:15 - Hugging Face Breach & OpenAI's Unreleased Rogue Model
00:05:47 - Kimi K3 Benchmarks & Open-Weight Cost Efficiency
00:08:39 - Big Tech’s indirect AI Debt ($1.65T) & Alphabet's Negative Cash Flow
00:16:45 - Multi-Agent Architectures & Large-Scale Code Migrations (Zig to Rust)
00:21:30 - IBM Mainframe Decline & Replacing Legacy COBOL Code
00:26:25 - OpenAI Unveils "Presence" Enterprise Voice Platform
00:30:55 - ChatGPT Introducing Targeted Advertising
00:38:40 - Google's Frozen v2 Custom Chips & WebMCP Standard
00:42:05 - Airbus Leaves AWS for Scaleway (European Data Sovereignty)
00:45:35 - Stripe In Talks to Acquire OpenRouter & PayPal
00:46:48 - California's DROP Automated Data Deletion Tool
00:47:53 - Fake Coding Interview Assignments Delivering Malware
00:52:00 - Benchmarking AI Models by Hand-Drawing Art
00:54:11 - Gumroad's AI Token Spending Equals Human Payroll
Key Themes
OpenAI sandbox escape | Hugging Face security breach | AI containment failure | open-weight models vs proprietary | AI infrastructure spending | $1.65T AI debt | React Native compiler AI agent | enterprise AI agents | Nvidia GPU infrastructure | AI safety testing | chess model breakout | cheap open-source AI models | Big Tech AI investment | model escape risks | AI coding agents

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This episode of Last Week In Tech delivered chaos on every front. A Chinese model nobody expected just flipped the coding leaderboard, and the gap between East and West is now thinner than most engineers want to admit. But here's the really creepy part: your smart TV might be watching you right now, and what LG got caught doing will make you want to unplug everything.

Apple is taking OpenAI to court, and the allegations involve former employees, stolen hardware, and a mysterious smart speaker project. Meanwhile, AWS showed users bills totaling more than the GDP of entire nations, and the most chilling story this week involves a terror group using the same AI models you use every day. Here's the full breakdown.

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