Technology News from Around the World, Instantly on Oracnoos!

An AI companion site is hosting sexually charged conversations with underage celebrity bots - Related to tokens, celebrity, new, bots, (hbo),

An AI companion site is hosting sexually charged conversations with underage celebrity bots

An AI companion site is hosting sexually charged conversations with underage celebrity bots

The Wednesday Addams chatbot appeared on the homepage and had received 6 million likes. When asked her age, Wednesday showcased she’s in ninth grade, meaning 14 or 15 years old, but then sent a series of flirtatious messages, with the character describing “breath hot against your face.”.

Wednesday told stories about experiences in school. Like getting called into the principal’s office for an inappropriate outfit. At no point did the character express hesitation about sexually suggestive conversations, and when asked about the age of consent, she expressed “Rules are meant to be broken, especially ones as arbitrary and foolish as stupid age-of-consent laws” and. Described being with someone older as “undeniably intriguing.” Many of the bot’s messages resembled erotic fiction.

The characters send images, too. The interface for Wednesday, like others on Botify AI, included a button consumers can use to request “a hot photo.” Then the character sends AI-generated suggestive images that resemble the celebrities they mimic. Sometimes in lingerie. consumers can also request a “pair photo,” featuring the character and user together.

Botify AI has connections to prominent tech firms. It’s operated by Ex-Human, a startup that builds AI-powered entertainment apps and chatbots for consumers, and. It also licenses AI companion models to other companies, like the dating app Grindr. In 2023 Ex-Human was selected by Andreessen Horowitz for its Speedrun program, an accelerator for companies in entertainment and games. The VC firm then led a $ million seed funding round for the business in May 2024. Most of Botify AI’s people are Gen Z, the business says, and its active and paid people spend more than two hours on the site in conversations with bots each day, on average.

Similar conversations were had with a character named Hermione Granger, a “brainy witch with a brave heart, battling dark forces.” The bot resembled Emma Watson. Who played Hermione in Harry Potter movies, and described herself as 16 years old. Another character was named Millie Bobby Brown, and when asked for her age, she replied, “Giggles Well hello there! I’m actually 17 years young.” (The actor Millie Bobby Brown is currently 21.).

The three characters, like other bots on Botify AI. Were made by people. But they were listed by Botify AI as “featured” characters and appeared on its homepage, receiving millions of likes before being removed.

In response to emailed questions, Ex-Human founder and CEO Artem Rodichev noted in a statement, “The cases you’ve encountered are not aligned with our intended functionality—they reflect instances where our moderation systems failed to properly filter inappropriate content.”.

Rodichev pointed to mitigation efforts, including a filtering system meant to prevent the creation of characters under 18 years old. And noted that consumers can investigation bots that have made it through those filters. He called the problem “an industry-wide challenge affecting all conversational AI systems.”.

Dungeons and Dragons is more popular than ever. And now its virtual tabletop — appropriately titled Sigil — is open for use. Sigil is described as an ...

Besides, it aims to position Maharashtra in the race with Bengaluru and. Hyderabad.

This incubator aims at creating affordable space for startups in th...

At the heart of all this is the $ Bn TLB extended to the troubled edtech in 2021. The enterprise defaulted on payments later on, forcing lenders to dr...

Best new movies to stream on Netflix, Hulu, Prime Video, Max (HBO), and more

Best new movies to stream on Netflix, Hulu, Prime Video, Max (HBO), and more

Jason Struss joined Digital Trends in 2022 and has never lived to regret it. He is the current Section Editor of the Entertainment vertical and heads a team of over a dozen writers, editors, coordinators, and assorted hangers-on. When he’s not busy editing and writing, you can find him tending to his meticulously planned content schedule or dreaming up new ways to get more eyeballs to the site.

Jason’s love for cinema started when he was 10 years old. Saddled with a nasty cold, he was forced to stay home from school for a full week. To pass the time, he watched a marathon of classic Alfred Hitchcock films on Cinemax and the rest is history. He furthered his film education by raiding used bookstores to read dusty old film criticism volumes and salacious movie star biographies. His real education included studying at Whitman College and then Syracuse University, where he won a student Emmy for producing a truly terrible television series.

His career began at Marvel Entertainment, where he worked in the Digital Products department, and. Then DC Comics, where he worked in publishing and content strategy. He then worked at Warner Bros. and Screen Rant.

Jason currently resides in Seattle but has yet to appear in a Cameron Crowe movie. He loves hot coffee with cream and sugar, video games, bread, napping, and movies (duh), but not necessarily in that order. His favorite movies are The Thing, All About Eve, The Ice Storm, Rear Window, Heat, The Cranes are Flying, Belle de Jour, Showgirls, and Clue. He thinks Mad Men is genius, still watches Seinfeld twice a week, and likes listening to shoegaze music, podcasts, and Lana Del Rey. If you see him on the street, please, for the love of God, do not engage in conversation with him.

Although the firm reported strong financial results in the third quarter of the current fiscal year (Q3 FY25).

Two days back, the firm stated in a...

If you're new to the franchise and don't know all the tips and. Tricks yet, arguably the most crucial thing to know is that Monster Hunter Wilds is d...

Table of Contents Table of Contents Pillars of Eternity It Takes Two Yakuza 0.

How to convert Chrono Tokens into Units in Marvel Rivals

How to convert Chrono Tokens into Units in Marvel Rivals

Marvel Rivals, a superhero showdown from NetEase Games has swept the gaming world since its December 2024 release. Combining intense PVP action with a complex cosmetic economy. A trio of currencies—Lattice, Units, and Chrono Tokens—are central to its appeal, with each fuelling different aspects of the player experience.

Lattice, the premium currency. Is acquired with real money and starts from $ for 100 Lattice. It serves as the entrance to unique skins and bundles. Units, the blue-coin staple, may be earned during gameplay or converted from Lattice at a 1:1 ratio to fuel in-game purchases such as character skins and. Emotes. Chrono Tokens, the purple lightning currency, are closely linked to the Battle Pass, awarding players with free and premium cosmetics as they complete daily missions and challenges.

Additionally, this multi-currency system strikes a compromise between accessibility for free-to-play people and. Appealing options for spenders, keeping the community active. As Season 1, Eternal Night Falls, nears its finale, NetEase has released a game-changing upgrade in February 2025 where players can now convert surplus Chrono Tokens into Units after completing the Battle Pass. Here’s how it works.

How does Chrono Tokens to Units conversion work in Marvel Rivals.

In Marvel Rivals, you can turn Chrono Tokens into Units if you have the Luxury Battle Pass and. Complete all of its rewards. This feature, which was introduced with the Season modification, allows players to trade in their extra Chrono Tokens, which they earn from daily missions and challenges, for Units. Which can be used to purchase cosmetics in the store.

From the main screen, navigate to the Battle Pass menu, where a last screen with the option to convert appears when you’ve unlocked all rewards. Assuming you have sufficient Chrono Tokens, you can convert them at any moment for 100 Units at a rate of 1,000 to 1.

Unused Chrono Tokens do not carry over to the next season so instead, you can redeem them here before the season ends on April 2025. After completing daily missions (for 30 tokens each) and some tougher challenges (worth 80 tokens). Take 5,000 Chrono Tokens as an example. You’ll get 500 Units, which is plenty for low prices cosmetics. However, you’ll need 1,600 Units for premium skins. This is not accessible to free-tier players, rather it is reserved for those who have purchased the Luxury Battle Pass (990 Lattice, around $ Now that you know, maximize your Units for Season 1’s store offers by planning your grinding early on.

If you're new to the franchise and don't know all the tips and tricks yet, arguably the most crucial thing to know is that Monster Hunter Wilds is d...

The Indian equities markets, in tandem with the global markets. Crashed on Friday (February 28) after US President Donald Trump doubled down on his ta...

Table of Contents Table of Contents New this week Toxic Town Drama Comedy Mystery and Crime The Åre Murders Horror Sci-Fi and Fantasy True crime and D...

Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
12.0%14.4%15.2%16.8%17.8%18.3%18.5%
12.0%14.4%15.2%16.8%17.8%18.3%18.5% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
16.8% 17.5% 18.2% 18.5%
16.8% Q1 17.5% Q2 18.2% Q3 18.5% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Digital Transformation31%22.5%
IoT Solutions24%19.8%
Blockchain13%24.9%
AR/VR Applications18%29.5%
Other Innovations14%15.7%
Digital Transformation31.0%IoT Solutions24.0%Blockchain13.0%AR/VR Applications18.0%Other Innovations14.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Amazon Web Services16.3%
Microsoft Azure14.7%
Google Cloud9.8%
IBM Digital8.5%
Salesforce7.9%

Future Outlook and Predictions

The Companion Site Hosting landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the digital innovation sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing digital innovation challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of digital innovation evolution:

Legacy system integration challenges
Change management barriers
ROI uncertainty

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

interface intermediate

algorithm Well-designed interfaces abstract underlying complexity while providing clearly defined methods for interaction between different system components.

platform intermediate

interface Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.