one reason that application layer saas is struggling is that agents increasingly resemble infrastructure. and app layer people are almost never infrastructure people— so they haven’t yet recognized the business they’ve been forced into

The biggest risk for a successful company is believing that what made it successful will keep working forever. It took Freepik 12 years to grow from scratch into a large, successful business. It was a remarkable journey. We had millions of users and were competing with the biggest players in the stock content industry. Around 4 years ago, when Dall-e 2 was released, I was with @cuenca at a founders event in Malaga and he told me he couldn’t sleep for days thinking about how this was going to change our industry. It was going to redefine how creative content is produced, distributed, and consumed. Many in our user community hated AI-generated content. Our competitors were suing AI model providers. And our business was doing incredibly well. Still, we went all in on AI. We decided to transform Freepik into an AI-native company. Freepik became @magnific. And in less than three years, we grew the business 10x. Shutterstock, once one of the giants of stock content, has seen its market capitalization collapse from over $4 billion in 2021 to approximately $170 million today. Getty Images, another iconic name in our industry, filed for Chapter 11 bankruptcy protection last week. For decades, the creative industry was built around distributing existing content. Now, increasingly, it’s about generating entirely new content. That represents a fundamental shift in where value is created. And when that happens, being an established market leader can become a disadvantage if you’re too attached to the business model that got you there. We didn’t reinvent Freepik because it was failing. We reinvented it precisely because it was successful, and we wanted to make sure it stayed that way. Today, Magnific is a very different company from the one we were three years ago. And I suspect we’ll be a very different company three years from now. Your past success is an asset. Until you start treating it as something you need to protect.

BBC: Hablaremos con nuestro experto en seguridad de BBC respecto a la vulnerabilidad de PHP. El experto en seguridad: No sabía que PHP existía hasta ayer en la mañana.

🚨 MAJOR SECURITY ALERT 8 certificate authority private keys have been compromised. How bad is it? An attacker holding these keys could impersonate ANY website, including banks, exchanges, or Google, and potentially intercept sensitive communications. The good news: Chrome, Firefox and Apple have already taken action to block the compromised certificates. The bad news: Many apps, developer tools and systems may still trust them. What you should do TODAY: Update your browser, OS and phone. Update desktop apps (Slack, Discord, VS Code, etc.) as patches arrive. Avoid untrusted Wi-Fi until your devices are updated. Only install updates from official sources. Ignore any email offering a "certificate fix". This is a serious compromise of internet trust infrastructure, not just another website hack. Full technical details: emudhra.we-have-a-problem.co…

Sony wouldn't do it. So the community did. 𝗕𝗹𝗼𝗼𝗱𝗯𝗼𝗿𝗻𝗲: 𝗚𝗢𝗧𝗬 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 is now live on 𝗙𝗶𝘁𝗚𝗶𝗿𝗹 𝗥𝗲𝗽𝗮𝗰𝗸𝘀 as a standalone PC release. Not an emulator setup. This is a pre-configured, 1-click repack of the 𝗯𝗯𝗽𝗼𝗿𝘁 (𝘃𝟭.𝟵.𝟲) native PC recompilation. What’s included in the package: • 𝗡𝗮𝘁𝗶𝘃𝗲 𝗣𝗖 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: Runs directly on x86-64 hardware via Vulkan • 𝗙𝘂𝗹𝗹 𝗚𝗢𝗧𝗬 𝗖𝗼𝗻𝘁𝗲𝗻𝘁: Base game (v1.09) + The Old Hunters DLC • 𝟲𝟬+ 𝗙𝗣𝗦 𝗨𝗻𝗹𝗼𝗰𝗸𝗲𝗱: Bye-bye 30 FPS frame-pacing lag • 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝘁𝘆 𝗢𝗻𝗹𝗶𝗻𝗲: Multiplayer features integrated • 𝗭𝗲𝗿𝗼 𝗖𝗼𝗻𝗳𝗶𝗴: Pre-patched and ready to launch After 10 years of waiting, Yharnam is finally playable on PC without touching a console. Repack entry: t.me/forhanvv/20

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel. - Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all. - Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract. - Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code. - And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while. The funnel is driven by a combination of factors: 1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel. 2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel. 3. Access. Free-tier, paid-tier, internal. So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

JetBrains reported a net financial loss first time in its tracked history helgilibrary.com/companies/j…