Hot take, brain wealth is just biohacking with better branding. The underlying ideas have been around for decades.
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Hot take, brain wealth is just biohacking with better branding. The underlying ideas have been around for decades.
Had something similar happen where I tried a bunch of supplements for focus and got modest results at best. Then I started running three mornings a week and within a month my ability to concentrate at work had changed in a way that no capsule ever matched. Exercise is embarrassingly well supported by the data.
The creators behind some of Webtoon's most successful psychological thrillers have returned with a series that's already generating intense discussion across manhwa communities. For fans who've been following the horror and thriller genre on digital platforms, Carnby Kim and Youngchan Hwang need no introduction. Their latest collaboration tackles themes of artistic plagiarism, obsession, and murder in ways that feel disturbingly relevant to current conversations about creative theft and AI-generated content. This guide covers everything you need to know about Copycat, from its premise and release schedule to how it compares with their previous masterpieces like Sweet Home and Bastard.
The technology sector is experiencing a paradox. While headlines scream about mass layoffs at major tech companies, a critical shortage is quietly building in one of the most essential areas of digital infrastructure. Datacenters, the physical backbone of our digital world, are facing an unprecedented demand surge, and there simply are not enough skilled professionals to build and maintain them. Countries across the globe are rushing to establish their own datacenter infrastructure. From India's ambitious plans to become a datacenter hub to the European Union's push for data sovereignty, and emerging markets in Southeast Asia and Latin America building their first large scale facilities, the construction boom is just beginning.
If you told me two years ago that I'd be more emotionally invested in a sequel protagonist than in Jinwoo himself at certain points, I would not have believed you. Suho gets there.
The year 2026 marks a pivotal moment in the evolution of manhwa as a medium. What started as a trickle of Korean comics receiving anime adaptations has become a flood, with at least fifteen confirmed projects bringing beloved manhwa to animated life. This explosive growth wasn't accidental but the inevitable result of Solo Leveling's massive success proving that manhwa adaptations can compete with traditional manga anime in quality, popularity, and profitability. Studios across Japan and Korea are investing heavily in manhwa properties, recognizing that Korean storytelling brings fresh perspectives, innovative premises, and built-in fanbases eager to see their favorite series animated. The diversity of genres receiving adaptations demonstrates that manhwa appeal extends far beyond action and fantasy into romance, psychological thriller, sports, and slice-of-life territories.
As a murim fan specifically, I would argue the regression formula works even better in a martial arts cultivation setting than in the modern dungeon-system setting. The power hierarchies are more rigid so subverting them with foreknowledge feels more satisfying.
The series hits differently if you think of it as a story about inherited trauma. Bigang carries memories of centuries of horror that nobody else can share or even understand.
The Voice Doctor feature they recently launched is interesting because it means you can refine your cloned voice after creation without technical knowledge. That iterative refinement loop was missing before and it frustrated a lot of people who got a mediocre first clone.
My honest experience after three months: great for greenfield work, progressively less useful as a codebase ages and accumulates complexity. Context management is the unsolved problem for all of these tools.
Avatar V was just teased in recent product notes and apparently delivers studio-quality output from a fifteen-second recording. If that delivers on the promise, the quality gap with Synthesia effectively disappears for most use cases.
The AI video generation race just got a clear winner. Runway Gen-4.5 topped the Video Arena leaderboard with a 1,247 Elo score, surpassing both Google Veo 3 and OpenAI Sora 2. For those unfamiliar with Elo ratings, this is the same system used to rank chess players and competitive games. A higher score means more wins in head-to-head comparisons. When real users compare videos side by side without knowing which AI generated them, they consistently choose Runway's output. Runway didn't start as an enterprise video tool. It began as a playground for artists and filmmakers who wanted to experiment with AI-generated visuals. The early versions produced fascinating but inconsistent results. Sometimes you'd get stunning cinematic footage. Other times you'd get distorted motion and unrealistic physics. Gen-4.5 changed that equation by achieving breakthrough consistency in motion quality and physical accuracy.
Hot take: this is not replacing your development team. It is replacing your intern. There is a significant difference.
The regression subgenre has exploded in popularity over the past few years, becoming one of the most beloved narrative frameworks in Korean manhwa. The core premise is deceptively simple: a protagonist dies or fails catastrophically, then returns to an earlier point in time with their memories intact. Armed with future knowledge, they get a second chance to change their fate, save loved ones, gain power, or pursue revenge against those who wronged them. What makes regression stories so compelling is the combination of dramatic irony, strategic satisfaction, and emotional depth they provide. Readers know what the protagonist knows, creating tension when other characters make mistakes we can see coming. We feel smart alongside protagonists who use foreknowledge to outmaneuver enemies. And we experience the emotional weight of carrying memories of futures that haven't happened yet, of people who died who are currently alive, of betrayals that haven't occurred.
When Tomb Raider King first exploded onto the manhwa scene, it brought a fresh take on dungeon crawling stories by combining archaeological adventure with ruthless protagonist energy and a treasure-hunting premise that felt genuinely different from typical gate and dungeon narratives. The series built a dedicated fanbase through its satisfying blend of historical artifact powers, strategic relic acquisition, and a protagonist who wasn't afraid to be morally gray in pursuit of his goals. Now, with the anime adaptation confirmed for 2026 as one of the most anticipated manhwa-to-anime projects, Tomb Raider King is experiencing a resurgence. New readers are discovering the series while longtime fans eagerly await seeing Jooheon Suh's relic-hunting adventures brought to life with animation. The timing couldn't be better, as the series has built enough content to support a substantial adaptation while maintaining momentum in its ongoing storyline.
From zero to 30 billion ARR in roughly two years. I've worked in enterprise software for over a decade and this genuinely does not have a historical comparison. Nothing in traditional SaaS scaled this way.
The software development world just witnessed something unprecedented. A European startup called Lovable reached $20 million in annual recurring revenue in just two months, making it potentially the fastest-growing startup in European history. But here's the twist that's making traditional software agencies nervous: they did it by giving non-technical founders the power to build full-stack applications without writing a single line of code. For years, the promise of no-code tools has been the same: anyone can build an app. But the reality has always been different. You'd create a beautiful frontend, get excited about your progress, and then hit the technical cliff. Suddenly you needed to configure databases, set up authentication, manage API keys, and deploy to servers. The "no-code" dream became a "hire-a-developer-anyway" nightmare.
When a company's revenue jumps from $10 million to $100 million in nine months, you pay attention. When that growth comes from an AI agent that builds entire applications autonomously, you realize something fundamental just changed in software development. Replit Agent represents that change, and the numbers prove developers are ready for it. Replit started as a browser-based coding environment for education. Students could write Python or JavaScript without installing anything locally. Teachers loved it because setup time vanished. But the company saw something bigger. If you could run code in the browser, why not let AI write that code? That question led to Agent 3, an AI that doesn't just suggest code completions. It builds entire applications from scratch.
Nobody is talking about what happens to mid-tier videographers and on-camera talent in this scenario. The post celebrates efficiency but there are real livelihoods on the other side of that efficiency gain.
Can someone explain how the security actually works at scale though? Row-level security through Supabase sounds fine for an MVP but what about a production app with 50,000 users and sensitive data?
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