If Terror Man is actually the Iron Man of a larger Korean superhero universe like some readers are saying, and they cut those connections in the anime to keep things simple, that is going to frustrate manhwa readers badly.
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If Terror Man is actually the Iron Man of a larger Korean superhero universe like some readers are saying, and they cut those connections in the anime to keep things simple, that is going to frustrate manhwa readers badly.
Something the article touches on but could expand is how regression protagonists often become lonely because of their foreknowledge. Knowing what people will do, which friendships will last, which loved ones will survive, creates an isolation that the best series explore thoughtfully.
The Gamer gets knocked for its later chapters but honestly the early slice-of-life stuff mixed with the system mechanics is still some of the most charming writing in the genre.
Respectfully disagree. The engineering problem solving is the core identity of the series. Take that away and it's just another smart protagonist manhwa.
In a medium filled with talented artists producing stunning work, making a claim about any series having the "best" art feels bold. Yet Nano Machine consistently delivers combat sequences so fluid, detailed, and visually innovative that even readers who don't typically care about martial arts stories find themselves captivated by the sheer spectacle on display. The series combines traditional murim aesthetics with futuristic sci-fi elements, creating a unique visual identity that stands apart from typical cultivation manhwa. The nano machine implanted in protagonist Cheon Yeo-Woon's body doesn't just give him power. It becomes a storytelling device that allows the artist to visualize techniques, energy flows, and combat analysis in ways other series can't replicate.
Knowledge workers spend an average of 18 hours per week in meetings. Much of that time involves routine status updates, recurring check-ins, and informational sessions where your physical presence adds minimal value. Otter.ai introduced a provocative concept called OtterPilot: an AI assistant that joins meetings autonomously when you can't attend, records everything, generates summaries, and answers questions about what happened. Connect Otter.ai to your calendar. The system monitors your scheduled meetings and automatically joins Zoom, Google Meet, or Microsoft Teams calls when they start. OtterPilot records audio, generates real-time transcripts, identifies speakers, and creates AI summaries with action items. You receive a meeting briefing without attending the meeting yourself.
both tools have gotten so good that the debate feels increasingly like arguing about which hammer to use. Use whatever fits your workflow and move on.
Instagram has rolled out a small but long overdue feature that users have been asking for years. You can now edit your comments after posting them. This simple change solves a very real frustration. Until now, fixing even the smallest typo meant deleting your comment and writing it all over again. That friction is finally gone. But there is a boundary. You get a 15 minute window after posting to make edits. Within that time, you can update your comment as many times as you want. There is also a layer of transparency built in. Once a comment is edited, others will be able to see that it has been modified. However, unlike platforms such as iMessage, Instagram does not show the edit history. What was originally written stays hidden.
Anthropic on Tuesday unveiled an advanced artificial intelligence model designed specifically to identify software vulnerabilities, marking a significant development in the intersection of AI and cybersecurity. The model, named Claude Mythos Preview, will be available exclusively to a carefully selected group of companies as part of Project Glasswing, a new security initiative that aims to strengthen digital defenses while preventing malicious exploitation. The San Francisco based AI company has chosen to severely restrict access to Claude Mythos Preview due to its powerful capability to detect security weaknesses and software flaws. This decision reflects growing concerns about dual use AI technologies that could be weaponized by adversaries if they fell into the wrong hands.
Meta has just had one of its most important AI moments yet and the early signals are hard to ignore. Following the launch of its newest AI model Muse Spark, the company’s standalone Meta AI app surged dramatically in popularity, hinting at a much larger shift that is beginning to take shape. The release is particularly significant because it marks the first major AI model rollout under Alexandr Wang, who joined Meta to reboot its AI strategy. This is not just another incremental update. It represents a more aggressive and focused push into the AI race. According to data from Appfigures, Meta AI jumped from number 57 to number 5 on the U.S. App Store within a day of the launch. That kind of movement rarely happens without a strong underlying pull from users. It signals not curiosity but intent.
The whole situation highlights something underappreciated: we are in the middle of a massive reordering of who controls the foundational infrastructure of AI. The companies that control compute at scale will have structural advantages that compound over time.
Yes! The Meta reversal on Instagram encryption happened around the same time and barely made headlines compared to TikTok. The double standard in coverage is genuinely strange.
Anthropic would still need TSMC or Samsung to actually manufacture whatever they design. Custom chip design and custom chip manufacturing are completely different things. The article covers this but it gets lost in the broader narrative.
The artificial intelligence industry is entering a new phase of competition, one that extends far beyond the development of advanced language models and neural networks. Companies are now engaged in an intense struggle to secure the computational infrastructure necessary to train and deploy their AI systems. In this context, Anthropic has reportedly begun exploring the possibility of designing and manufacturing its own specialized processors to power Claude, its flagship conversational AI platform, along with its broader suite of artificial intelligence technologies. This strategic consideration emerges at a critical moment in the global AI sector. The exponential growth in model complexity and capability has created unprecedented demand for high-performance computing resources. Sources familiar with the matter indicate that Anthropic is conducting feasibility studies to determine whether developing proprietary semiconductor technology could reduce its dependence on external hardware vendors while ensuring reliable access to the computing power required for its operations.
I love how the wrap detail on the skirt adds such sophistication. I have a similar one from Zara and it's become my go-to for important meetings.
I actually have those boots and they're super comfortable. I wear them with everything from dresses to jeans
Do you think this top would work for a beach cover-up too? I'm getting major versatile vibes.