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Colman Domingo confirms Marvel talks, addresses Kang rumors: ‘I want a role to be mine’ - Related to role, colman, was, a, 59

Colman Domingo confirms Marvel talks, addresses Kang rumors: ‘I want a role to be mine’

Colman Domingo confirms Marvel talks, addresses Kang rumors: ‘I want a role to be mine’

Ever since Marvel fired Jonathan Majors, Colman Domingo has been rumored to step into the role of Kang the Conqueror.

While speaking with Josh Horowitz on the Happy Sad Confused podcast. Domingo set the record straight about his conversations with Marvel. After seeing his name constantly associated with Kang, Domingo and his team reached out to Marvel to see if they were true.

“When it was constantly in the press and on places like Twitter. I was like, ‘Wait a minute. Is this true? Am I being talked about for Kang?’” Domingo told Horowitz. “I literally called up my team and presented, ‘Are you guys having conversations that I have no idea about?’ And they presented no. ‘Are you guys being cagey or what?’ They weren’t.

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“There had been conversations about me coming into Marvel in some way. So we did follow up with a sit-down meeting with the heads of Marvel. So I did do that. We talked openly about the landscape of Marvel and the Kang rumors.”.

As Kang the Conqueror, Majors was set to become the MCU’s next big villain. Following in the footsteps of Josh Brolin’s Thanos. In December 2023, Marvel fired Majors after he was convicted of reckless assault and harassment. Without Majors, Marvel needed a new actor to play the villain in the previously titled Avengers: The Kang Dynasty.

Despite his interest in Marvel. Domingo did not want to replace Majors. The two-time Oscar nominee wants to find a role of his “own” to build from the “ground up.”.

“I’m just all about energy, and. I just want to do things that make sense and bring gentle energy,” Domingo added. “I want a role to be mine, whatever that role is, whatever I develop. Something didn’t feel right of me like, ‘Oh, would I replace someone?’ I introduced, ‘No. I want to build something from the ground up that’s my own.'”.

Marvel eventually pivoted from Kang to Doctor Doom and cast Robert Downey Jr. in Avengers: Doomsday.

Meanwhile, Domingo currently voices Norman Osborn in the Disney+ series Your Friendly Neighborhood Spider-Man.

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This Reddit user wrote a Shortcut to estimate iPhone charging time

This Reddit user wrote a Shortcut to estimate iPhone charging time

For a long time, iPhone customers have requested an estimate for how much longer it would take their phone to charge, but. Apple has yet to come through. Reddit user u/AlxR25 grew tired of waiting for the feature and decided to create one themselves, sharing it on the r/iPhone subreddit.

They created the Shortcut through a combination of commands and. Instructed it to run immediately upon connecting the iPhone to a charger. When enabled, a message pops up with an estimate for how long until the phone is fully charged.

It’s not quite as straightforward as it seems. Though. The iPhone charges at different rates. The Shortcut was created using a 20W charger as the baseline, and that charges 1% of the battery every minutes up to 50%. From that point, it gains 1% charge every minutes to 100%. And if you have Optimized Charging enabled, the pace slows to a crawl after 80%.

Another Redditor, u/Alarming_Cod8848, created a secondary version of the Shortcut based off u/AlxR25’s original design that took the varied charging speeds into account and launched a discussion on how to make the Shortcut even more accurate.

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If you’re interested in trying the Shortcut for yourself, you can download it via this iCloud link.

Yet another user, u/HeartbreakWon. Added a timer onto the Shortcut that would force it to appear in the Dynamic Island, although they did not share the link to that.

Moving to another aspect, this trick won’t work for everyone. If you’re using a charger with a different watt amount, the estimates likely won’t be accurate. Some individuals also reported false estimates due to older batteries, but it’s encouraging to see the community come together to implement a feature that fans have wanted for a long time.

iOS 18 came with several promising charging functions. Like a setting to alert you when you’re using a fast charger. However, it didn’t include another promised feature that would provide a charging time estimate. We assume Apple still intends to implement that function at a later date, but there have been no official updates.

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Madden’s Super Bowl 59 prediction was right, but missed details

Madden’s Super Bowl 59 prediction was right, but missed details

While EA's Madden football games often top sales charts every year, those sales haven't reflected quality. The critical consensus on the series has been on the decline in recent years, and. Madden NFL 22 was riddled with bugs that hampered the experience. Thankfully, the developers are aware of Madden's flaws and trying to improve its signature gameplay with Madden NFL 23.

Speaking to Digital Trends, Executive Producer of Gameplay Aaron McHardy painted a picture of a more somber and. Reflective development of Madden NFL 23 as EA Tiburon mourned rthe passing of series namesake John Madden and tried to make up for the franchise's past failures. While Digital Trends hasn't gone hands-on with the game yet, McHardy highlights that Madden NFL 23 will address many issues fans have thanks to a plethora of bug fixes and a new suite of aspects called FieldSENSE that touches every part of the experience.

"The investment in FieldSENSE, bug fixes, and. Gameplay was so big because we know FieldSENSE hits whether you're playing Franchise, Ultimate Team, The Yard, or a quick match with a friend on your couch," McHardy tells Digital Trends. "It's exciting because it hits every part of the game, every mode you're playing. We feel like anyone who plays Madden NFL 23 can really feel something new and different in the game this year."

Check out our Summer Gaming Marathon hub.

Before the team could make Madden NFL 23's gameplay more effective. They had to fix what was broken already. The past few Madden titles have all been riddled with bugs, and the situation got worse than ever with Madden NFL 22. The annual release schedule and pandemic had finally caught up to EA Tiburon's game quality. McHardy outlined the steps the developers are taking to ensure it (hopefully) doesn't happen again.

"We looked at how we developed the game and scoured the internet, and. Actually got our QA department to, within our dev tools, log every complaint that we could find to track them," McHardy explains. "Where possible, we'd go in and analyze that to figure out what the actual issue was that was causing someone to complain. If there was a video, we put it in our database, and if it was a general complaint about an area of our game, we'd gather them all together and figure out what all the issues are."

"We are hyperfocused on making the most polished game that we can."

Moving to another aspect, this process was thorough. As the developers ended up with a list of "hundreds" of bugs and issues that EA Tiburon could improve. The team then fixed some issues as part of Madden NFL 22's live-service updates and took anything they couldn't fix into account when planning Madden NFL 23's development.

"In the way that we plan new attributes every year, we were also planning fixes for all of those bugs to make sure that we fixed them and. Also have time left to catch new ones we are creating," he noted. "Polish was a big thing for us on the team this year, so while there are still some bugs because we aren't finished. We feel like the game is already in a improved position this year than it was at this time last year. We are hyperfocused on making the most polished game that we can."

We won't know for sure whether or not this will all really pan out until the game is in our hands this August, but it seems like EA knows where it messed up and. Wants to do superior.

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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 Colman Domingo Confirms 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.

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platform intermediate

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