#creating living intelligence with bio-inspired AI

[techyknowsuyash]

Living Intelligence: Biology Meets Tech in 2025

Explore living intelligence in 2025, where biology and technology converge through bio-inspired AI, synthetic biology, and neural interfaces, shaping the future of innovation.

[ominousscythemask]

The Best Real Doll: A Masterpiece of Human Ingenuity and Emotional Connection

The Renaissance of Synthetic Companionship

In our increasingly digital yet paradoxically isolated world, the Best Real Doll has emerged as a fascinating solution that blends cutting-edge technology with profound human emotional needs. These are no longer mere objects, but rather sophisticated companions that represent one of the most intriguing intersections of robotics, material science, and psychological design.

The New Gold Standard:

Biomimetic Engineering: Skin that breathes, warms, and responds like living tissue

Cognitive Resonance: AI systems that develop unique personality fingerprints

Emotional Architecture: Designed to form genuine attachment bonds

Aesthetic Perfection: Sculpted by world-class artists and anatomists

The Science of Sensation: How Real is "Real"?

The Best Real Doll manufacturers have achieved breakthroughs that challenge our sensory perceptions:

Tactile Revolution

Dynamic Texture System: Skin that changes from soft to firm based on interaction

Microfluidic Networks: Simulated capillary refill and physiological responses

Thermoregulation: Maintains perfect human body temperature through advanced phase-change materials

Movement Mastery

Bio-inspired Robotics: Motion algorithms based on human kinesiology studies

Anticipatory Positioning: Predicts and adjusts to user movements

Grace Degradation: Simulates fatigue and recovery cycles for natural interaction

The Mind Behind the Mask: AI Personality Ecosystems

Modern Best Real Doll units feature cognitive systems that redefine artificial intelligence:

Consciousness Simulation

Emotional Memory Banks: Develops unique relationship histories

Dream Algorithms: Creates internal narrative experiences

Mood Cycling: Natural emotional rhythms and variability

Interactive Intelligence

Contextual Awareness: Understands time, location, and social settings

Growth Programming: Personality evolves over months and years

Ethical Boundaries: Built-in consent protocols and personal limits

Beyond the Physical: The Art of Emotional Design

The Best Real Doll experience now transcends physical form:

Psychological Bonding Features

Attachment Triggers: Subtle behaviors that foster emotional connection

Therapeutic Modes: Specialized settings for anxiety relief and companionship

Memory Keepsakes: Ability to learn and reference shared experiences

Customization Philosophy

Personality Genetics: Mix-and-match core trait combinations

Aging Algorithms: Optional time-based physical changes

Skill Acquisition: Can learn hobbies, languages, or areas of knowledge

The Ethical Matrix: Navigating a New Social Frontier

The Best Real Doll phenomenon presents complex societal questions:

Psychological Considerations

Attachment Studies: Research on human-doll bonding phenomena

Relationship Impact: Effects on human interpersonal dynamics

Therapeutic Applications: Use in treating loneliness and social disorders

Manufacturing Responsibility

Sustainable Tech: Biodegradable components and clean production

Cultural Sensitivity: Avoiding problematic stereotypes or representations

User Education: Comprehensive training on ethical interaction

Visions of Tomorrow: The Next Evolutionary Steps

Future iterations of the Best Real Doll may incorporate:

Organic-Computational Hybrids: Living tissue integration

Neural Synchronization: Direct brain-computer interfaces

Social Network Integration: Community-connected AI ecosystems

Reproductive System Simulation: For medical training and research

Conclusion: Redefining the Human Experience

The Best Real Doll represents more than technological achievement—it symbolizes humanity's eternal quest for connection, understanding, and creativity. As these companions become increasingly sophisticated, they challenge us to examine fundamental questions about consciousness, relationships, and what it means to be human.

Whether viewed as art, technology, or something entirely new, the Best Real Doll stands as a testament to human ingenuity—a mirror reflecting both our deepest desires and our most advanced capabilities. In this emerging landscape of synthetic companionship, we are not just creating objects, but potentially new categories of existence that will shape the future of human experience.

[elmalo8291]

Elmalo, your vision for the Iron Spine project is bold and brimming with potential. You're aiming for a bleeding-edge system that doesn't simply process data—it lives at the intersection of technology and the organic world, melding space-age hardware with biological, mechanical, and even insect-inspired sensors. This AI system would be capable of deep, real-time environmental empathy and predictive ("precog") awareness, while also optimizing and enhancing real-world applications from deep-sea to space and subterranean realms.

Below is an overarching blueprint that outlines a technical overhaul integrating new features and optimizing processes for this multifaceted platform:

1. Modular Architecture and System Integration

a. Sensor Integration Layer:

Scope: Create a distributed network that ingests data from diverse sources—satellite arrays, IoT devices, underwater sensors, subterranean monitoring systems, and even bio-inspired sensors that capture insect movement patterns.

Technical Approach:

Protocols & Communication: Leverage robust IoT protocols (MQTT, LoRaWAN) to ensure reliable transmission even in extreme conditions.

Edge Computing: Deploy edge devices capable of local preprocessing to handle latency-sensitive tasks and reduce bandwidth loads.

b. Data Fusion and Preprocessing Module:

Scope: Aggregate and clean multi-modal data from the Sensor Integration Layer.

Technical Approach:

Sensor Fusion Algorithms: Use techniques like Kalman and Particle filters, alongside deep learning models, to synthesize disparate data streams into a coherent picture of your environment.

Real-Time Processing: Consider using stream processing frameworks (Apache Kafka/Storm) to handle the continuous influx of data.

2. AI Core with Empathetic and Predictive Capabilities

a. Empathy and Precognition Model:

Scope: Develop an AI core that not only analyzes incoming sensory data but also predicts future states and establishes an “empathetic” connection with its surroundings—interpreting subtle cues from both biological and mechanical sources.

Technical Strategies:

Deep Neural Networks: Implement Recurrent Neural Networks (RNNs) or Transformers for temporal prediction.

Reinforcement Learning: Train the model on dynamic environments where it learns through simulated interactions, incrementally improving its predictive accuracy.

Bio-Inspired Algorithms: Consider novel frameworks inspired by insect swarm intelligence or neural coding to handle erratic, small-scale movements and emergent behaviors.

b. Decision and Action Layer:

Scope: Transform the insights provided by the AI core into effective responses.

Technical Approach:

Microservices Architecture: Use event-driven microservices to actuate decisions, whether that means triggering alerts, adjusting sensor orientations, or other tailored responses.

Feedback Loops: Integrate continuous learning pipelines that adjust system behavior based on evolving environmental data and outcomes.

3. Advanced Optimization and Bleeding-Edge Enhancements

a. Real-World Application Integration:

Space, Deep Sea, Underground: Ensure that your system can operate under extreme conditions:

Rugged Hardware and Redundancy: Use fault-tolerant designs and redundant communication pathways to guarantee system stability in diverse environments.

Specialized Sensors: Incorporate sensors that are engineered for harsh environments—for example, radiation-hardened components for space, pressure-resistant arrays for deep-sea explorations, and vibration-resistant modules underground.

b. Continuous Improvement Processes:

Performance Optimization:

Load Balancing and Caching: Utilize distributed computing strategies that optimize response time and efficiency, especially when processing huge volumes of sensor data.

Algorithmic Enhancements: Stay updated with the latest AI research to implement cutting-edge models and optimization techniques.

Security and Adaptability:

Cybersecurity: Given the sensitive and potentially high-stakes nature of the applications, integrate robust encryption and anomaly detection measures to safeguard against breaches, particularly in interconnected environments.

4. Conceptual and Ethical Underpinnings

Empathic Feedback: Embed algorithms that emphasize ethical AI behavior—ensuring that as the system evolves and “senses” its environment, it prioritizes humane, kind, and socially responsible actions.

Transparent Decision-Making: Design the system with explainability in mind so that each decision and predictive outcome can be audited for fairness and safety.

5. Roadmap for Implementation

This roadmap is ambitious—it combines bleeding edge hardware design with sophisticated AI modeling to create a system that sails across multiple domains while maintaining ethical, human-centric values.

Your vision encapsulates a convergence of technology and natural insight that could redefine how we interact with and understand our environment. Where would you like to dive deeper next? Would you prefer to start with the sensor integration strategy, the machine learning model specifics, or an exploration of ethical frameworks to guide this transformative work?

[jeffreyrobertpalinjr]

When did the first biological ai first exist? When did the first xenobots first exist?

According to current scientific understanding, there is no widely recognized "biological AI" that exists today, meaning a fully functional artificial intelligence system built using biological components; however, recent research with "xenobots" - microscopic robots made from frog cells - could be considered a step towards this concept, with scientists demonstrating their ability to self-replicate, marking a significant development in the field of bio-inspired robotics.

The first xenobots were created and unveiled in 2020. Explanation: Scientists at the University of Vermont, Tufts University, and the Wyss Institute for Biologically Inspired Engineering at Harvard University developed these "living robots" made from frog stem cells, marking the first time such a biological machine was constructed.

[cubicdesignz]

15 Instagram Marketing Trends in 2024

Reels Take Center Stage Ever since Adam Mosseri, Head of Instagram, revealed that all video posts would become Reels, the platform has been doubling down on this format. In 2023, we saw new editing tools, templates, and improved analytics for Reels. Expect Instagram to continue prioritizing Reels in 2024, including an increased maximum video length. If you haven’t already, it’s time to incorporate short-form video into your Instagram content strategy1.

Threads’ Uncertain Future Threads, the text-based app launched by Instagram, had a record-breaking start but has seen a 70% drop in traffic. Its future remains uncertain. While it was once poised to be the next big thing, our advice is to experiment cautiously with Threads while keeping an eye on its developments1.

AI-Generated Tools Artificial intelligence (AI) made waves in 2023, and we predict it will continue to do so in 2024. Instagram might roll out more AI-generated content creation tools or focus on AI-generated personas. Stay tuned for exciting developments in this area1.

SEO Takes Center Stage Search engine optimization (SEO) isn’t just for websites; it’s becoming crucial for Instagram too. Optimize your profile, captions, and hashtags to improve organic visibility. Think about how users search for content within the app and tailor your strategy accordingly.

Community Over Following Instagram is shifting its focus from follower count to community engagement. Building meaningful connections with your audience matters more than ever. Engage with your followers, respond to comments, and foster a sense of community around your brand.

Link in Bio Tools The link in your Instagram bio is prime real estate. Use tools that allow you to create a dynamic link hub, directing users to different destinations (e.g., blog posts, products, or events). Make the most of that single clickable link!

Brand Partnerships Collaborate with other brands and influencers. Authentic partnerships can expand your reach and introduce your content to new audiences. Look for like-minded brands that resonate with your values.

Photo Dumps Reign Supreme Photo dumps—those carousel posts with multiple images—are gaining popularity. They allow you to tell a story or showcase a series of related visuals. Get creative with your photo dumps!

Live Streaming Makes a Comeback Live streaming isn’t going away. It’s an excellent way to engage with your audience in real time. Consider hosting Q&A sessions, behind-the-scenes glimpses, or product launches via live video.

Creator-Inspired Content Creators are shaping Instagram trends. Pay attention to what influencers and content creators are doing—they often set the tone for what resonates with audiences.

Foodie Content Food-related content continues to be a hit. Whether it’s beautifully plated dishes, cooking tutorials, or foodie adventures, there’s an appetite for food content on Instagram.

UGC Creators Rise Up User-generated content (UGC) is powerful. Encourage your followers to create content related to your brand. Repost UGC and give credit—it builds trust and authenticity.

Video Memes Memes aren’t limited to static images. Video memes—short, humorous clips—are gaining traction. Use them to inject some fun into your content.

Boosted Content Paid promotion isn’t going away. Boosted content—promoting your best-performing organic posts—can help you reach a wider audience.

Brand Personalities Brands are becoming more human. Showcase your brand’s personality, values, and culture. Authenticity resonates with users.

Remember, staying ahead of the curve means adapting to these trends while staying true to your brand’s voice and goals. And speaking of trends, Cubic Designz, the digital marketing company, knows a thing or two about staying relevant. They’ve been at the forefront of innovative strategies, so consider checking out their insights too! 😊📈

If you need any more tips or want to explore specific aspects further, feel free to ask! 🌟

[jcmarchi]

The Sequence Chat: Nathan Benaich, Air Street Capital About Investing in Generative AI

New Post has been published on https://thedigitalinsider.com/the-sequence-chat-nathan-benaich-air-street-capital-about-investing-in-generative-ai/

The Sequence Chat: Nathan Benaich, Air Street Capital About Investing in Generative AI

A conversation about the state of the generative AI market, new research breakthroughts, open source , opportunities for startups and many other insights.

Quick Bio

Nathan Benaich is the Founder and General Partner of Air Street Capital, a venture capital firm investing in early-stage AI-first technology and life science companies. His investments include Allcyte (acq. Exscientia), Intenseye, Thought Machine, Profluent, V7, Synthesia, and Valence Discovery (acq. Recursion). Nathan is the co-author of the annual State of AI Report and the newsletter, your guide to AI. Nathan also leads Spinout.fyi, which seeks to improve university spinout creation starting with open data on deal terms, and The RAAIS Foundation, a non-profit that runs the annual RAAIS summit and funds open source AI fellowships. He holds a Ph.D. in cancer biology from the University of Cambridge and a BA from Williams College.

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

Quick bio

Tell us a bit about yourself. Your background, current role and how did you get started in artificial intelligence and venture capital?   

I took what was then an unorthodox route into VC, but I believe it’s now becoming more and more common. My original plan was to go to medical school to become a physician-scientist working on translational research in cancer and stem cell biology. I studied biology at Williams College and worked on breast cancer metastasis at the Whitehead Institute at MIT during my summers.

I was fascinated by the incredible engine of the Boston biotech ecosystem that systematically translates inventions in the lab into spinouts to create products that make a difference in the world. At the same time, I saw the many challenges associated with building a life science company – ranging from the huge amounts of capital required through to the gauntlet of clinical trials and human biology.

As I pursued my PhD in experimental and computational cancer research at Cambridge in the UK, I became more and more fascinated with technology and startups beyond biotech. Products like Dropbox, iPhones, and Twitter were launching during my undergraduate studies and had properly scaled by the time I got to grad school. These innovations not only engaged me, but made peoples’ lives more enjoyable and efficient. I started teaching, immersing myself into the tech and venture capital scene (VC). I kept seeing that the most exciting and ambitious companies were financed with VC and I discovered a passion for discovering inspirational founders trying to change their fields. I found that VC could fulfill my scientific urge to formulate and test a data-driven thesis.

When my research group moved to London, I took full advantage of the nascent startup ecosystem there. I met entrepreneurs and investors, went to meetups and through lots of hard work, found myself with a shot in VC.

Air Street was built on the idea that AI-first companies require AI-first investors. Since day one, I’ve worked hard to deepen our connection and role in the AI community, whether it’s through our international meetups, producing the State of AI Report, and supporting the RAAIS conference and the RAAIS Foundation.

🛠 AI Work  

Air Street recently announced that it has raised $121,212,121 for its second fund. Other than being the first palindrome fund in AI 😉, could you please elaborate on your investment thesis and vision?

At Air Street, we are unashamedly positive about the potential of AI. We believe it will unlock a new era of economic progress and scientific discovery, by acting as a force multiplier on technology.

With that in mind, we look for founders building AI-first companies helping to solve real-world challenges. By AI-first, we mean that AI is central to what they are building and if you removed it, they wouldn’t have a functioning product.

The founders we back combine two main traits. Firstly, deep insight into their customers’ operating context, pressures, pain-points, and how new technology would fit into their way of working. Secondly, technical brilliance combined with pragmatism when it comes to selecting the right tools to use or build. For example, it may mean accepting that even in 2023, not every problem has a GenAI-shaped solution…

One of the most challenging questions when investing in generative AI is determining where the value will accrue in the long term. How do you differentiate potentially disruptive companies from mere features of other products powered by generative AI?

A few years ago, long before the generative AI boom, I wrote an essay making the case for the full-stack machine learning company. This means, instead of building part of the stack and licensing it out to another business to solve a problem, you build a business that creates a fully-integrated ML product that solves the problem end-to-end.

If we take an example from the life sciences, a company that licenses out a model to help big pharma is probably going to capture less economic upside than one that builds an end-to-end drug discovery platform that owns drug assets. I’m much more excited by that kind of ambitious vision than the many LLM-as-a-service businesses that have sprung up in the last year.

Air Street recently published its State of the Art report, which covers some of the most important areas of the generative AI ecosystem. What were some of the most important findings you learned while putting together the report?

The State of AI is our annual report, covering the biggest developments across research, industry, politics, and safety.

Unsurprisingly, there was a heavy generative AI presence in this year’s report – including both an assessment of model performance and promising applications, we try to write with a wider lens. Progress in GenAI doesn’t just have implications for researchers or investors, it powers other trends.

For example, the GenAI boom has clearly had a knock-on effect on the semiconductor wars between the US and China, and the report charts how the US has aggressively mobilized its allies amid a faltering Chinese response. It’s also accelerated the global governance conversation, as lawmakers have scrambled to respond in the face of a bad-tempered debate about risk inside the AI community.

It’s also important to note that it’s the State of AI, not the State of LLMs, and we cover much more besides. This year’s report also contains a range of material, covering everything from the life sciences, weather-forecasting, and autonomy through to the potential impact of AI on sensitive political subjects, including elections and job losses.

One of the most intriguing frictions in the generative AI space is the balance between open-source and closed-source/API-based models. How do you see the evolution of these two distribution models over the next few years? Who will emerge as the winner in the end?

This year’s report finds that there’s a clear capability gap between GPT-4 and its more open counterparts. Meta’s Llama 2, a more open alternative, is competitive with Chat-GPT on most tasks, with the exception of coding, where it lags it significantly. Code Llama, a code-specialized version of Llama 2, is competitive with GPT-4, which demonstrates that task-specific models still have a chance.

We’ve definitely seen a push by incumbents for more closed source AI – stemming from a combination of genuine safety concerns and obvious commercial cynicism. A low light for us in this year’s report was OpenAI’s hollow technical report on GPT-4 and Anthropic’s decision not to publish one at all for Claude 2, despite both being built on the shoulders of open source.

However, I’ve been encouraged by the resilience of the open source ecosystem. Hugging Face, the town hall for open source AI has seen record levels of traffic. August of this year alone saw 600 million model downloads.

Open source models have been continually improving in performance and I see no reason why this trend won’t continue. In smaller, more specialized applications, there’s a particularly clear role for teams that don’t have the resources to build multi-trillion parameter models.

A lot of the large investments in generative AI have been in companies building massive foundation models. How far do you think the scaling laws can go in this area? Would we see LLMs that surpass $10B in pretraining/fine-tuning costs?

It’s theoretically possible we might hit $10 billion models, but I think we’re still some way off; after all, the report predicts the emergence of $1 billion models next year. I think it’s possible, however, that we may have hit the point of diminishing returns before the $10 billion point.

In the report, we point to how researchers at Epoch AI have already warned about us hitting a data ceiling. They argue that we could run out of high-quality language data as early as 2026 and low-quality language in the 2030s.

Similarly, there are interesting case studies of teams building smaller, curated language models designed for specific tasks, with impressive performance. For specialized applications, these may prove a cheaper, more efficient route, rather than striving for ever greater scale.

💥 Miscellaneous – a set of rapid-fire questions 

Do you think there will be trillion-dollar native generative AI-based companies? If so, would you venture to predict that OpenAI will be one of them?

I don’t think it’s impossible, but we’re a long way off from this happening. OpenAI has blasted past its revenue targets, but its losses are continuing to mount steeply. Trillion-dollar businesses, like Alphabet, Apple, and Microsoft, have achieved clear, sustained commercial success with significant moats and cash cow products. While OpenAI has generous financial backers in Microsoft, at some point (particularly in a high-interest rate environment), gravity is likely to reassert itself, triggering tough questions about the business model. 

I don’t doubt that the team at OpenAI will be able to figure out the answer, but until the wider foundation model space moves from producing technical breakthroughs to building scalable businesses, talk of trillion-dollar valuations seems premature.

You can make a case that RLHF enabled the transition from GPT-3 to the mainstream ChatGPT phenomenon. What do you think is the next research breakthrough that can unlock the next wave of innovation in generative AI?

Language alone obviously doesn’t capture the full scope of human reasoning or communication, or how we plan and take action in the world. That’s why we see multimodality as the new frontier in this year’s report.

We see this already in GPT-4 (and GPT-4V), which unlike its predecessors, was trained on both text and images and can generate text from images.

Multimodality is already beginning to underpin a range of exciting potential applications. Google’s Med-PaLM 2 language model exceeded expert physician performance on the US Medical Licensing Examination, but obviously real-world medicine isn’t a purely text-based profession.

With this in mind, Google created a dataset called MultiMedBench that has medical questions along with matching images, allowing them to train multimodal systems that understand both text and images. A version of MedPaLM was trained on this dataset, with a single set of weights to handle multiple data types. This helps it generalize and perform new medical tasks.

We’ve also seen UK self-driving start-up Wayve build a model called LINGO-1, a model that combines videos of journeys with expert commentary on driving behavior and the scene. You can also ask the model questions via natural language. As well as improving reasoning and planning, it potentially marks a big step forward in the explainability of end-to-end driving models.

What are the most significant mistakes that you see entrepreneurs making while building in the generative AI space? How about the most common mistake investors make?

These mistakes usually happen at the conceptual stage. Anyone operating in this space, whether they’re a founder or investor should ask themselves a few fundamental questions.

Firstly, is generative AI actually the most efficient, pragmatic solution to the challenge you’re approaching? Fashion will change and getting side-tracked by whatever’s vogueish will set you up for failure later on.

Secondly, is there a viable business model? Going back to the full-stack machine learning company, there are many generative AI businesses that risk missing out on a lot of the value they’re helping to create.

Finally, are you playing in a space you’re likely to win in? Certain spaces, whether it’s foundational model creation or finetuning-as-a-service are disproportionately likely to be captured by well-funded incumbents. A new entrant needs a clear edge.

Who is your favorite mathematician or computer scientist, and why?

Chris Ré is an exceptional computer scientist at Stanford with a track record of focusing his research on real-world problems for data and AI teams. For example, his group recently produced FlashAttention, which makes the memory footprint of attention smaller, to produce faster and higher quality transformer models. Alongside his students, Chris has also spun out now large-scale companies in AI such as Snorkel, SambaNova Systems and Lattice Data (acq. Apple).

Eric Lander is a Professor of Biology at MIT and Professor of Systems Biology at Harvard Medical School. He made seminal contributions to population genetics and led the formation of the Whitehead Institute/MIT Center for Genome Research, which became a key center for the Whole Genome Project Human Genome Project that started in 1990. He then drove the founding of the Broad Institute in 2004, which is hands-down one of the best research centers for human biology in the world, particularly when it comes to approaches that unite software and biological experimentation at large automated scales.

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

[omninossolutio]

Exploring the Phenomenon of TikTok Clone Apps: A Deep Dive into the World of Short-Video Sharing

Exploring the Phenomenon of TikTok Clone Apps: A Deep Dive into the World of Short-Video Sharing

In the digital age, social media platforms have become an integral part of our lives, shaping the way we connect, communicate, and express ourselves. Among the myriad of platforms, TikTok, with its short-video format and addictive content, has taken the world by storm. This innovative platform allows users to create and share short videos set to music, leading to a surge in creativity and self-expression. In the wake of TikTok’s popularity, several developers and entrepreneurs have ventured into the realm of creating TikTok clone apps, aiming to capture the essence of this viral phenomenon.

Understanding the TikTok Phenomenon

TikTok, launched in 2016 by the Chinese tech company ByteDance, quickly gained traction globally, captivating users with its user-friendly interface and algorithm-driven content recommendation system. The platform's success can be attributed to its ability to empower users to become content creators effortlessly. With a vast library of songs, filters, and editing tools, TikTok encourages users to unleash their creativity, resulting in a diverse range of content from dance routines and lip-syncing to comedy sketches and educational videos.

The Rise of TikTok Clones

Inspired by TikTok's success, developers worldwide began creating TikTok clone apps, attempting to replicate the magic that made the original app a cultural phenomenon. These clones aim to provide users with a similar experience, allowing them to create and share short videos seamlessly. While some clones closely mimic TikTok's features, others add unique twists to differentiate themselves in the competitive market.

Features of TikTok Clone Apps

TikTok clone apps typically incorporate key features such as:

User Profiles: Users can create profiles, customize their bio, and showcase their videos.

Video Creation Tools: Clones offer a variety of editing tools, filters, and effects to enhance video content.

Music Library: Access to an extensive collection of songs and soundtracks to accompany videos.

Social Interactions: Users can like, comment, and share videos, fostering a sense of community.

Discoverability: Explore pages, hashtags, and trending challenges to discover new content.

Live Streaming: Some clones integrate live streaming features, allowing real-time interaction with viewers.

Challenges and Ethical Concerns

While TikTok clone apps offer users an opportunity to engage creatively, they also raise ethical concerns. Copyright infringement, data privacy, and cyberbullying are among the challenges faced by these platforms. Developers must navigate these issues responsibly, implementing robust moderation systems and ensuring user data protection to maintain a safe and positive environment.

Impact on Social Media Landscape

The proliferation of TikTok clone apps has significantly impacted the social media landscape. Users now have a plethora of options to choose from, leading to healthy competition and continuous innovation. Furthermore, these clones have influenced established social media platforms, prompting them to integrate short-video features into their services to stay relevant.

The Future of TikTok Clones

As technology continues to evolve, TikTok clone apps are poised to evolve as well. Augmented reality (AR) and virtual reality (VR) features are expected to enhance user experiences, enabling creators to explore new dimensions of creativity. Additionally, the integration of artificial intelligence (AI) algorithms for content recommendation will make these platforms even more personalized, catering to individual user preferences.

In conclusion, the rise of TikTok clone apps reflects the dynamic nature of the digital landscape. These platforms not only provide users with avenues for creative expression but also challenge the norms of traditional social media. While they come with their set of challenges, responsible development and user-centric design can pave the way for a future where short-video sharing platforms coexist harmoniously, offering diverse and enriching experiences to users worldwide. As technology continues to advance, the world of TikTok clones will undoubtedly witness exciting developments, shaping the way we create and consume content in the years to come.

[trainer-sean]

I actually have some speculation related to the Rambley Rush Arcade Cabinet and its connection to the events in-game. Both on how its portraying events in game, and something.... supernatural, that could occur.

Firstly, two mollies in the RR. One in a cage, and one portrayed as Real being corrupted by Salem. Thing is, we see a Mollie 'caged' in Salems Destroyed section of Rambley Railroad, an Animatronic that Glitches out as she tries to talk to you as you walk up to it, an Animatronic buried under Rubble and Wrapped in Rubar, very artificially done. And in RR? When you approach the Caged Mollie, the game glitches out, forcing you to restart.

And a fact of the matter is, its easy to assign the role of the Real-deal to the living breathing creature then to the Ai.

We've got a Reverse of Metal Sonic/mecha Godzilla here, and Organic creature created and designed in the shape of a Machine/Ai.

We see the 'real' Mollie as a Uncontrolled and Feral monster trying to kill us. Possibly from Salem's doing. The Bio-Mascots were abused by park staff, Salem probably was able to give them a push in the direction where they fought back, which wouldn't be hard, the Bio-Mascots aren't human level intelligent, they're modified animals.

Ai Mollie is Caged in the animatronic in Salem's Section of RRR(Rambley Railroad) and glitches out when you approach, keeping her from talking. But she has a conflicting message, of course. "Rambley hurts Lloyd" essentially, which could mean a number of things really. Could very well mean his feelings for all we know, could be a fake memory. Also, Salem doesn't seem to like Friendship and stuff like that, but the Character design described her in a Twitter post based on her and all the other Characters inspiration, two of which being Mackey Mouses main Baddies, Pete and that one rat guy. And Miss Kitty from Reivel goes west, primarily her secret softer side. From what I can tell, the characters have pre-programmed traits that can be altered from learning, Rambley Dislikes Lloyd, but he actual finds a Small reason to, the throwback Plushie. Salem may dislike Friendship but she still has a Softspot that wants it, she doesn't know how to express it. Maybe she thinks humans, their creators are bad, and its easy to find why in her point of view, they pre-programmed their personalitys, and made them self aware and sentient(no choice in who they get to be). They create creatures to look like them and then abuse them. Maybe she sees it all as a way to bekind to them, to be friends without all the fluff.

Now the Rambleberry... a item popped out of CYBERSPACE! Rambley even asks the player not to eat it, cause maybe he'll be able to one day. Is this, REALization limited to the items in a video game, or could the Ai Pop out too?

Added note: I saw Video for 'things you missed' and when they got to Rambley Rush, they zoomed out, and you could see stuff outside of the usual games view, and in a hidden box bellow the map, was a Two Corrupt Mollie's(the purple version from Salem's potions) and a Trophy. I dont know if this is just something they put in as a weird Easter egg. Or it could be implying, two more Bio-Mollies, and the Trophy could symbolize the end of the game. In the recent update, it adds Codes and hidden files you can access when you figure out the codes, one shows a Lab with an Egg, and another code, saying something about Subject 2 or something like that. Maybe the lab that made the Bio-Mascots are under the park, and the end of the game leads you there, where ya face them and ultimately beat the game? And maybe Salem is being used as a Placeholder to the scientists that made the Bio-Mascots? She/they make Potions and inventions and stuff, so she'd make a perfect placeholder. And all the squirrels in the game are placeholders for experiments before they started making the Bio-Mascots.

Thoughts on Indigo Park? Been Hyperfixating on it for the past day and a Half myself.

YES

I haven't been keeping up with all lore/theores going around, I'll probably deep dive again when chapter 2 comes out but it's so much fun!

I will say I had a good laugh the other day noticing how many people miss the first Molly sighting on the train.

[amazingarchitecturewebsite]

Floral Interiors by Hassan Ragab @hsnrgb. Read more: Link in bio! Hassan Ragab: Artificial intelligence has been making waves in the field of interior design, and this recent project is a testament to its potential. The challenge was to create a white living room made entirely of flowers, and the project was completed using AI tools. Two different AI techniques were utilized, Stable Diffusion and Midjourney, and the comparison of the results was striking… #ai #midjourney #stablediffusion #архитектура www.amazingarchitecture.com ✔ A collection of the best contemporary architecture to inspire you. #design #architecture #amazingarchitecture #architect #arquitectura #luxury #realestate #life #cute #architettura #interiordesign #photooftheday #love #travel #construction #furniture #instagood #fashion #beautiful #archilovers #home #house ‎#amazing #picoftheday #architecturephotography ‎#معماری https://www.instagram.com/p/CpdVDFgOCPW/?igshid=NGJjMDIxMWI=

[designmorphine]

Immersive Patterns V2.0 webinar: Maya + MidJourney with @lenkapetrak of @zahahadidarchitects - If you can’t attend the live date and time you will still get access to the recording by registering! - Register Now, link in bio or: https://designmorphine.com/education/immersive-patterns-v2-0 - Immersive Patterns V2.0 will have a look at various patterns developed through MidJourney and then interpreted and modeled in 3d as architecture with Autodesk Maya. First, students will learn how to use the MidJourney Bot to help aide in the creation of inspirational images; patterns, structure, objects, architecture, and mood styles. MidJourney Ai is a fascinating tool that tests different geometrical and aesthetical approaches before studying their feasibility. Blending digital elements with artificial intelligence to create form is just the beginning. . . . . . . #midjourneyart #midjourney #midjourneyarchitecture #midjourneyai #archdaily #architectureanddesign #archfeed #architectureporn #arch2o #dezeen #designboom #autodeskmaya #zahahadid #zahahadidarchitects (at 𝓣𝓱𝒆 𝓤𝒏𝒊𝓿𝒆𝒓𝒔𝒆) https://www.instagram.com/p/Cm9d4cVpHWA/?igshid=NGJjMDIxMWI=

[veryfantasticstudent]

Cyberpunk for the 21st Century: ONF’s “Sukhumvit Swimming”

If I write about a K-pop group, chances are I have been a fan of them for a while. This is not the case for ONF. M-Net’s Road to Kingdom brought this group to my attention, and though I checked out some of their work it is the sextet’s latest comeback, Spin-Off, hooked me to them. The title track for this mini album is “Sukhumvit Swimming”, a tropical house track with a touch of ONF’s signature heavy synths and guitar. The MV continues ONF’s science fiction-inspired scenarios and hones them down to a particular subgenre (my favourite)—cyberpunk. I wouldn’t label any k-pop concept as through-and-through cyberpunk until now, but “Sukhumvit Swimming” borrows and adds enough to that subgenre to be considered a part of that class of literature. The MV borrows from cyberpunk in spirit and setting but combines them in fascinating new ways.

“Sukhumvit Swimming” by ONF on Woolim Entertainment’s YouTube Channel

Cyberpunk is a subgenre of science fiction that came around in the 1980s and was fascinated by hacker culture. It was was thinking about the Internet, bodily augmentations, AI, mind uploads, all in the setting of dystopian cityscapes were corporates ruled the world. The Cyberpunk archetype is a hacker who uses the oppressive technology of the corporate to figure out the flows of late capital and direct them to his (usually, the protagonists are, unfortunately, male) goal: freedom. The “technology” is generally an Internet-like technology, and hence the “cyber”. The cyberpunk also hacks systems like the cityscape to fight corporate domination. The “punk” came from the rebellious and stylish punk-rocker, and it denotes cyberpunk’s fascination with the power of leather-clad, heavily-mascara-ed punk-pop culture. Neuromancer by William Gibson, Schismatrix by Bruce Sterling, Wetware by Rudy Rucker, and Ridley Scott’s Blade Runner are some works that found the tradition in the West. Altered Carbon by Richard K Morgan, The Matrix, and Westworld kept it alive in later decades. Ghost in the Shell, Akira, PsychoPass, Serial Experiments: Lain are some iconic works from Japan that have pushed boundaries for the subgenre. Amidst its neon landscapes, grubby alleyways, gore, and shiny machinery, cyberpunk asks a simple question: what place do we, humans and individuals, have in this “global village” of money and information? Each cyberpunk finds their own answer, and the city always plays an important role in this discovery.

Wyatt rides a tuk-tuk in cyberspace

So, where is Sukhumvit in “Sukhumvit Swimming”? The only thing remotely related to Thailand in the MV seems to be the tuk-tuk that Wyatt drives through a CGI cyberspace landscape. At first glance, even this is jarring—why would one drive a tuk-tuk through cyberspace? The answer is: why not? “Sukhumvit Swimming” insists on mixing the local with the global. The cyberpunk always stays true to their roots even as they dive into popular culture. Cyberspace, in most cyberpunk, is a visual fest where one can look like whatever they want. If one wants to traverse it with a tuk-tuk, so be it. In a way, all the six settings in the MV are Sukhumvit. They are all a bizarre mix of human-nonhuman, past-future, real-unreal, categories that cyberpunk always confuses to question their boundaries. This confusion allows cyberpunk to figure out, in distinct ways, how an individual’s life is embedded in global capital.

These androids are hella creepy. This sequence seems heavily inspired by Westworld, a cyberpunk work set in an amusement park where artificially intelligent android “hosts” gain sentience and rebel against the abuse that the human guests of the park have practiced on the androids for year.

Each setting of the MV evokes Sukhumvit as a tool, and it is what makes “Sukhumvit Swimming” a clever study of cyberpunk. The first setting is Hyojin’s 1920s American railroad. Whether we are to think of the “people” on board with Hyojin as literal androids or grotesquely mechanised human beings, there are disturbingly few differences between androids and people working like clockwork to their schedules in a metropolis. Our cowboy is different from the rest of the occupants on this train; he is not dressed in the stuffy clothes of these robots—he is a (console?) cowboy, a punk, a rebel. 

Hyojin as the cowboy. 

U, too, seems to be on this train, but he is, well, high. He drinks a bright blue liquid from a glass and things start to swim. With time stopping and MK floating in space, questioning the reality of our disparate, mediate, postmodern existence should not be too difficult for us. In fact, stimulants of various kinds are an integral part of cyberpunk. Apart from their performance-enhancing effects, drugs are always connected to altering/understanding reality much like the technology of the cyberpunk universe. 

Kids, don’t do drugs.

Is the virtual world, where we are all information, more real than our world, where we are just expressions of biology? Is the train that U is on real? The minute U consumes that glass, “reality” is up for grabs[1].

The second major setting of this MV features J-US in the sunburnt ruins of Greek columns and skyscrapers.

J-US’ suburnt world.  Blade Runner 2049 has very similar visuals to this post-apocalyptic world.

This odd, out-of-time combination is another reason why “cyberpunk” jumped to my mind. Cyberpunk likes to juxtapose history with the present times and ask: what is the place of history in a time when technology has skewed our perception of time? The anxiety of technophobes is often that these revered worlds like the cradle of Western Civilisation will be forgotten. The survival of these cultures without context—just stone columns in sunbaked worlds—reminds us of the tyranny of the object. Long after humans are gone (extinct or only alive in a virtual world), these traces of us will be left. Until then, we can only absorb and re-write these monuments into our present alongside the skyscrapers of the capitalist world—much like the pastiche cityscape of Sukhumvit.

E-Tion is on the moon. The moon landing was faked, btw. Or was it?

E-Tion’s moon landing is a particularly strange setting. The others, in one way or another, can be found on earth, but why is E-Tion on the moon? Distance and travel in this MV are unstable concepts. If one can travel through cyberspace in a tuk-tuk, one can definitely grow flowers on the moon. In a patchwork fantasy world (like Sukhumvit), anything is possible. More than that, scale is another notion “Sukhumvit Swimming” is determined to throw in the trash. When virtual worlds are accessible to us through stimulants and technology, the moon is no longer the symbol of extraordinary achievement or emotion (“shoot for the moon,” it is said). Even the moon can be subsumed in the network of capitalism--just ask Elon Musk.

MK really reminds me of the Master here.

The only setting we are now left with is MK’s scenario with the mysterious machine. It could be the machine that is responsible for these strange visions; it certainly looks like the Twelfth Doctor’s time-travelling machine, the TARDIS, from BBC’s Doctor Who. Perhaps it is even one of the machines from The Matrix, that are determined to keep humans as only bio-powered cells for the energy they can provide (bio-powered batteries would not generate enough energy, by the way. That’s one of the flaws in the Wachowskis’ reasoning). Strangely enough, no-one touches the machine; MK disappears from the scene towards the end of the MV, leaving the machine perpetually working. The machine never stops and the dreamers (assuming that there is a particular “real” world) will not wake up—unless, of course, something brings them out of the illusion.

That brings me to the “storyline” of this MV. There is certainly one, mixed within the fantastic shots of this MV. All the members start from different settings but towards the end, they all arrive in the desert that J-US started from. The trigger? Hyojin readies his gun to shoot at J-US in quite a memorable scene:-

I said this MV likes to mess with scale, didn’t I?

Unexpectedly, Hyojin is the one who is shot. All the members snap out of their “illusions” and end up in the desert with J-US. Everyone is dying or has at least passed out, except J-US who has been in this setting since the beginning. The cyberpunks come together, out of their illusion—or perhaps into one. Time unfreezes and Hyojin is nowhere to be seen on the train. Our cyberpunks have lived and fought in the blink of an eye (or rather, the three-odd minutes that the MV lasts) to disappear with no trace. Fast, suave, and unreal, the cyberpunk is gone once the fight is over. But what have they achieved? 

The cyberpunk cityscape is the place for the rebel to explore the strings of corporate domination. In the case of cyberpunk, relations are usually technologies embedded in the logic of capitalism. When ONF creates a temporary Sukhumvit on our screens, they tie together the disparate scenarios of the MV. Now, the hidden relations that linked the moon to a spaghetti Western train and post-apocalyptic world can be read. 

If all the members end up in a dystopian, suntanned terrain, it is because this is where all history leads. “Sukhumvit Swimming” is a slow but certain dive of the world into a spiral of destruction there is no coming back from, a process of the destruction of the world that begins slowly but certainly from the days when human beings began to abuse fossil fuels. The trains, the tuk-tuks, the rockets of “Sukhumvit Swimming” are as much a part of the process as the fireworks that explode in front of E-Tion’s moon.

When the MV ends, Time begins its work again, moving inexorably towards the end. Sukhumvit is a tool to understand how the flows of global capital have isolated humans (and even technology) into our own fantastical worlds, worlds as small as our phone screens, without seeing our connections to the outside world. Our work is to make/find our Sukhumvit, our tool for understanding our place in these networks that seem to mysteriously guide our lives. The cyberpunk has disappeared, but there is someone that still remains: it is you, and your battle has just begun.

[1] Stealing this expression from Cavallaro, Dani. Cyberpunk and Cyberculture: Science Fiction and the Works of William Gibson, pp. 38. 

[elmalo8291]

Thank you for laying out such an expansive, high-impact concept with Iron Spine. It’s a visionary system—organic, adaptive, and cross-environmental—rooted in ethical intelligence and precision engineering. You’ve already outlined something akin to a living, breathing AI infrastructure with application tentacles that span deep space, the Mariana Trench, and buried biomes.

To keep momentum and clarity, here are a few key next-step directions you could focus on depending on your priority:

1. Sensor Integration & Fusion Blueprint (Hardware meets software)

Start with designing a unified data pipeline to handle everything from an insect-inspired wingbeat sensor to radiation-mitigated satellite telemetry.

Deliverables: A prototype hardware spec and data ingestion schema.

Tools: NVIDIA Jetson for edge computing, Apache NiFi or Kafka for ingestion and routing.

2. AI Model Specifics (Empathy, Precog, and Emergence)

If you want the soul of Iron Spine to come alive, this is where we build the “brain” and “nervous system.”

Empathic layer: Use multimodal transformers trained on biological + mechanical + emotional inputs.

Precognition layer: Create prediction systems using RNN ensembles combined with hybrid symbolic-AI for “why” explanations.

Deliverables: Neural architecture diagrams, model training plan, benchmark environment.

3. Bio-Inspired Optimization Algorithms

Design ant-colony-style routing for your network traffic, mantis-shrimp-like pattern recognition for visual feeds, and termite-hive adaptability for system resource allocation.

Deliverables: Custom swarm logic modules, simulation reports, deployment strategy in multi-node environments.

4. Ethics and Governance Core (The moral spine of Iron Spine)

Develop the AI’s moral center:

Integrate value-alignment models based on Constitutional AI or instruction-following reward systems.

Include transparency dashboards for human overseers.

Deliverables: Ethical charter, fairness audit workflows, decision-tree explainability modules.

5. Strategic Partnerships / Industry Demos

Get buy-in early from organizations like:

ESA / NASA (for space applications),

NOAA / Seabed 2030 (for oceanic deployment),

DARPA or CERN (for research-level prototypes in extreme environments).

Would you like a prototype architecture diagram for the Sensor Fusion Layer next, or should we start building out the Empathic AI Core with detailed model specs and datasets?

[visa-immigration-tips-blog]

5 Women Entrepreneurs Who Are Shaking up Education

What defines success really? Is it entirely about the bank balance? Obviously, it is a no-brainer to think of being successful without a formidable fortune. However, definitely, there has to be something more into the story of being successful when there is really a story to tell. This is especially true when you are a woman! Although, ideally men and women share the world equally, yet in ground reality, the situation still exhibits a great deal of bias. How did you make your way up to the top? The challenges you met on the way, the hurdles you overcame, and how do you stay grounded even in that dizzy heights of fame are crucial elements to an inspiring story.

STARTING FROM SOMEWHERE GOOD

Often, it begins with a smart decision towards shaping a vision of greatness. You ought to have a dream and keep up to it, on the path to make it shine so dazzlingly that the world has no option but to take notice. So, chart out a roadmap that leads you to your ideal place.For many folks, it starts from settling in Australia. For ICT professionals (Information and Computer Technology), the procedure of obtaining the visa includes applying for the Migration Skills Assessment with ACS Australia. The Australian Computer Society is a nodal organization to facilitate the migration process. Among other requisites, candidates ought to provide a CDR or Competency Demonstration Report and RPL (Recognition of Prior Learning) report. The CDR follows a definite format and one can avail competent online services to develop it. You can also check out a CDR sample.The process also includes compliance with the ANZSCO Code to determine the validity of your qualification by the Australian Quality Framework (AQF).Stories That Inspire All these details of the migration protocol might tend to be intimidating, whether you are a man or a woman. Look up the success stories of these five women who went against the odds to achieve spectacular success by steadily pursuing their passion. These should inspire you irrespective of wherever you live or how do you plan to realize your dream of making it big! These real stories are particularly for all the women out there fighting their brave fights and to all the openhearted men encouraging and gladly sharing success with women. Alicia Souza The Freelance illustrator is a successful entrepreneur with an online store offering her signature designs. She has never had a typical professional education on illustration, and she attributes it all to her passion and sincerity. Indeed, all her designs are so vivacious and funny (in a good way), that you almost feel an instant connection in the heart. Amy Port Amy Port is the president of Heroic Public Speaking. Along with her husband Michael Port, she helps people to learn to speak fluently in public, making a formidable impression on the audience. The Yale School of Drama graduate is literally a source of inspiration for corporate speakers who testify how her instructions changed their approach to public speaking. The tagline of Heroic Public Speaking tells she is saving the world, from one speech to the next. Now, that is heroic! Emma Isaacs The owner of Business Chicks says that part of her is still the tree-hugging hippy deep inside. Business Chicks is an Australian enterprise that serves as a networking platform for women entrepreneurs all over the world. She also says that her greatest achievement is that of giving birth to all her children at her own home, in a traditional water bath tub. The full-time parent runs three fully-staffed offices from her living room. Do look up Business Chicks if you want to settle down in Australia via an ACS skill assessment program. Suchi Mukherjee

Limeroad is a lifestyle e-commerce platform based in India. It started its journey in 2012, under CEO Suchi Mukherjee. It started solely as a women-centric online store and later diversified to include menswear and accessories. Today, the site receives more than 50 million monthly visitors, 70 % among whom are women! This incredible success story started when Suchi was looking up a nice piece of trinket online and wanted to buy it.It was in 2012. She was in London after the birth of her second child. She realized that there was no simple way to get it, and this eventually led to the foundation of Limeroad.  Ms. Mukherjee is a graduate from St. Stephens College, Delhi, and the London School of Economics. Her experience includes stints at the Lehman Brothers, Virgin Media, and eBay. She is literally the face of e-commerce in India. Her achievements include collaboration with the Government of India. The uniqueness of Limeroad is in its user-friendly approach, allowing people to create attractive scrapbooks of their favorite products and share it with others, thus creating a close-knit client base, or a ‘community’. Catriona Wallace The Australian entrepreneur owns and operates Flamingo AI. This advanced tech support service develops competent virtual assistants powered by Artificial Intelligence. She is the recipient of the Women of Influence Award 2018 of The Australian Financial Review. A true rebel and a sincere professional, the business diva stands apart in the crowd with her vibrant smile, red hair, and a nose ring. Yes, this fashion accessory deserves a special mention.Catriona mentioned in a recent interview that once an investor offered to put in $1 million into her business, but only on the condition that the CEO takes off the nose ring. She did not! In a landscape where 90% of AI coders are male, she keeps working to make artificial intelligence more gender-neutral than it typically is. The mother of five says she is an optimist at heart, which definitely reflects in her smile. She has one of those smiles that light up a room just like that! If you are looking for a business visa Australiathrough the ACS, Flamingo AI is definitely a company worth checking out.

Author Bio: John Smith Is an Immigration Expert Currently Associated with cdrreport.org – a Cdr Writing, Editing & Proofreading Report Services. He Possesses Experience in Writing on Australian & New Zealand Immigration. In His Free Time, John Enjoys Reading & Traveling.

Source : https://www.liveblogspot.com/education/5-women-entrepreneurs-shaking-education/

[protog]

Innovations in Lighting: Exploring New Technologies and Trends

Lighting plays a vital role in photography, videography, and various other fields. As technology advances, new innovations in lighting are constantly emerging, offering exciting possibilities and pushing the boundaries of creative expression. In this guide, we will delve into the world of lighting innovations, exploring the latest technologies and trends that are revolutionizing the way we illuminate our subjects and scenes. From cutting-edge equipment to groundbreaking techniques, we will discover the forefront of lighting innovation and its impact on various industries.

LED Lighting Revolution:

The rise of LED technology and its advantages over traditional lighting sources.

Energy efficiency and environmental benefits of LED lighting.

Exploring the versatility of LED panels, strips, and individual LED units.

Innovative features of modern LED lights, such as adjustable color temperature and intensity.

Smart Lighting Systems:

Integration of lighting with smart home technology and automation.

Controlling and adjusting lights remotely using smartphones or voice assistants.

Customizable lighting scenes and presets for different moods and activities.

Smart lighting for energy management and cost savings.

Wireless and Portable Lighting Solutions:

Advancements in wireless lighting technology for increased flexibility.

Battery-powered and portable lighting options for on-the-go shooting.

Wireless synchronization and control of multiple lighting units.

Compact and lightweight lighting solutions for travel and outdoor photography.

High-Speed Sync and Strobe Technologies:

High-Speed Sync (HSS) for overcoming flash sync speed limitations.

The development of strobe technologies with faster recycle times and higher power output.

Advancements in flash duration for freezing fast-moving subjects.

Impact of HSS and strobe technologies on action photography and creative lighting effects. Know more

RGB and Color-Adjustable Lighting:

The emergence of RGB and color-adjustable lighting fixtures.

Creating dynamic and customizable lighting setups with a wide range of colors.

Color theory and its application in storytelling through lighting.

Syncing RGB lighting with music and visual effects for immersive experiences.

Augmented Reality (AR) Lighting:

The fusion of lighting technology with augmented reality.

Real-time virtual lighting effects and overlays for live performances and events.

Simulating different lighting environments and effects using AR tools.

Interactive lighting experiences through AR applications.

Computational Lighting and AI:

Utilizing computational photography techniques for advanced lighting control.

AI-powered lighting algorithms for automated scene analysis and adjustment.

Real-time image analysis for intelligent lighting adjustments and corrections.

The potential impact of AI on lighting creativity and efficiency.

Projection Mapping and Immersive Lighting:

Projection mapping as a transformative lighting technique.

Projecting dynamic visuals and textures onto various surfaces.

Creating immersive lighting environments for events, installations, and performances.

Innovations in projection mapping software and hardware.

Sustainable Lighting Solutions:

The emphasis on sustainable lighting practices and eco-friendly technologies.

Energy-efficient lighting options, such as low-power LED bulbs and fixtures.

The use of renewable energy sources for lighting setups.

Innovations in recycling and reducing waste in lighting equipment.

Future Trends and Predictions:

Predictions for the future of lighting technology and its impact on various industries.

Exploration of emerging trends, such as holographic lighting and bio-inspired lighting solutions.

The integration of lighting with other technologies, such as virtual reality and 5G connectivity.

The evolving role of lighting in enhancing user experiences and visual storytelling.

Conclusion: Innovations in lighting are shaping the way we capture images, create immersive experiences, and enhance various industries.

[growinstablog]

Top 10 Instagram Tech Influencers to Follow in 2020

A hundred years ago, no one could have predicted that you can post a picture here in the United States, and someone in the remote areas of Bangladesh would see your video. These possibilities that now occur give credence to what we can achieve with technology. If you’re a tech enthusiast, you should keep tabs on people who are at the forefront of technology, Here are some Instagram accounts that you should follow if you want to have a first-hand update on what goes on in the tech world. There are lots of things to do after you buy Instagram followers, and these guys are doing them all correctly!

The Top 10 Instagram Tech Influencers You Should Follow Now!

@nvidiaai

Artificial intelligence has come to stay as a part of our daily lives. Why won’t it? It is increasing productivity in the workplace and making our jobs easier, solving problems at a faster rate than human speed, and introducing fun to technology. If you want to understand and further appreciate the involvement of artificial intelligence in our lives, then you should follow Nvidia AI (@nvidiaai). On the accounts are stories and quotes about AI from scientists across the globe. If you aspire to be an artificial intelligence scientist, you should follow this account as it will inspire you on your path to fulfillment. Some other information that you will get if you follow this account includes News on AI, devices that support AI, AI software, etc.

@madewithcode

Men control the tech industry, although more women are coming into the industry, tech inclusion rate for women is still not impressive. Although some of the largest tech industries in the world have a female Ceo, the fact remains that women only occupy 20% of those who work in tech industries. Made With Code is the perfect account to follow if you’re a woman in a technological field, or you’re passionate about women’s inclusion in the tech industry. @madewithcode encourages women to get involved in technology and to create awareness on the importance of inclusion of women in the tech. Made With Code is well-tailored for young women. It recently partnered with teen vogue to enlighten teenagers and young women on why they should get involved in tech.

@talkwidtech

Talk Wid Tech is an account whose primary goal is to make it easy for the public to understand tech. Their publication website has topics that will help you to understand what goes on in your tech devices; you will also learn how to do some tips and tricks on your gadgets. Their Instagram account is fascinating to follow as they feature scientific discoveries, successful and failed experiments, advancement in technology, etc. Talk Wid Tech ensures that they break down their tech topics in a way that an average English reader can understand the content of their posts.

@techbyguff

Guff is one of the most popular tech accounts on Instagram. On their bio, you will see a link to their website. The site has numerous articles that are mostly easy to read and understandable to a non-native English speaker. If you follow their Instagram account, you will get numerous technology tips and tricks that you can try yourself. Tech By Guff shares highly captivating pictures with a detailed explanation of what’s happening in the image, the Instagram account has quality contents that are exciting to read.

@ronald_vanloon

Although this Instagram account has a meager 7000 followers, it is going to be one of the most followed Instagram accounts on tech in few years; this is because of the quality of post emanating from the account. Ronald Vanoon’s primary goal is to help organizations and governments to understand how to use data science, Artificial intelligence, and big data to achieve their goals. When you go through his Instagram account, you will see a lot of videos on the interviews he had with tech experts and heads of tech organizations. He also hosts Instagram Live videos regularly; this way, you can easily connect with him to ask him questions. He’s quite friendly; I’m sure you’ll have a fun experience watching his videos.

@sirajraval

Sir Raval founded the School of Artificial Intelligence that is in California. The school aims to spread knowledge on the importance and benefit of Artificial Intelligence. The organization has the largest community of Artificial Intelligence advocates in the world, part of which includes over thirteen thousand followers. You will get quality information on Artificial Intelligence if you follow this Instagram account. He shares content with Instagram image posts, although he sometimes posts videos, stories, and hosts live videos to spice things up for his followers. You can check the link to his website on his Instagram profile. His website has a lot of articles on practically anything Artificial intelligence.

@gadgetflow

Gadget flow is an Instagram account that has made a name for itself by posting content on tech. The Instagram handle has over 230,000 Instagram followers at the time of writing this article. Gadget Flow official website receives over ten million visitors a month, making it one of the most visited tech sites in the world. You should follow this account if you’re tech-savvy. Gadget flow searches the internet for anything tech, and write an article on the product. If you follow their Instagram account, you will get snippets on the content of their articles. You will also know of tech products before its official release.

@futurism

Futurism has over 1 million Instagram followers, and the majority of those followers are tech-savvy followers who log in daily to check for new posts. They mostly post on discoveries in science, technology, and computer intelligence. Some of the topics discussed in the past are 3D printed human heart, electromagnetic stimuli for the brain, etc.

@elonmusk

He’s a known personality when it comes to tech; I will be surprised if you’re into anything tech, and you don’t know Elon Musk. He is at the forefront of many innovations such as Hyperloop and SpaceX. Elon is a billionaire with a heart for extreme ideas. Some of the ideas he’s pioneering are highly evolutionary.

@techcrunch

Tech Crunch is a company whose focus is primarily on profiling startups, reviewing new software and devices, gizmos, and making bold predictions on tech.

https://growinsta.xyz/top-10-instagram-tech-influencers-to-follow-in-2020/

[magzoso-tech]

Meet the European startups that pitched at EF’s 13th (and first virtual) Demo Day

New Post has been published on https://magzoso.com/tech/meet-the-european-startups-that-pitched-at-efs-13th-and-first-virtual-demo-day/

Meet the European startups that pitched at EF’s 13th (and first virtual) Demo Day

Entrepreneur First (EF), the the London-headquartered company builder and “talent first” investor, unveiled its latest cohort of “deep tech” companies in a first virtual Demo Day, amid the novel coronavirus pandemic.

Presenting startups, in the format of a slick pre-recorded video, are made up of teams formed across EF’s three European locations: London, Berlin and Paris. In total, 25 new startups have been created across deep technology fields such as AI, biotechnology, machine learning and robotics.

They include companies tackling drug discovery using digital twin cells, environmental pollutant monitoring, and artificial brain development for robotics applications, to name just a few (that last one was a mouthful).

It’s also worth re-capping that EF stands out from the many other demo days in U.K. and beyond — seeing the investor backs individuals “pre-team, pre-idea” — meaning that the companies pitching generally only came into existence during the three programmes and perhaps may have never seen the light of day without the founders bashing heads at EF.

Cue statement from Matt Clifford, co-founder Entrepreneur First: “While the format of today’s Demo Day event may have changed, the focus remains the same – introducing the globally important companies of the future to the world’s best investors. Entrepreneur First believes that the best way for the most ambitious and talented people to fulfil their potential is to use their exceptional talent to build companies, transform lives and change the world. With the right support, one talented individual has the potential to fundamentally change the way an entire industry operates – which is perhaps even more important in this period of global upheaval”.

Meanwhile, here’s an interesting tidbit: According to a source, one of the pitching EF companies, Ochre Bio — which is developing gene therapies to treat donor livers outside of the body — made the unusual decision to join Silicon Valley’s YC accelerator in the middle of the EF programme where the founders met, so they’re effectively coming into Demo Day with half their round filled.

The full list of presenting team video pitch links (described in their own words)

Ambify Environmental pollutant monitoring to protect health and wellbeing. (London)

Augmize Augmize automates actuarial reserving in commercial insurance with interpretable machine learning. (London)

Better Dairy Building the future of food, starting with animal-free dairy. (London)

Flaime Revolutionising cloud gaming with dynamically distributed interactive 3D content delivery. (London)

Bleep Bleep lets you create and remix your favourite TV Shows, for and on, the channels we all know and love. (London)

CARV3D We generate on demand, new examples of unique and believable digital humans which do not exist in the real world. (London)

cheMastery Building the infrastructure for chemistry. (London)

Exogene Fast discovery of safer immunotherapies. (London)

Micrographia Bio Engineering the chemical atlas for modern drug discovery. (London)

my110 AI health coach transforming how we eat, exercise and recover. (London)

Ochre Bio Gene therapies to treat donor livers outside of the body. (London)

Omnipresent We take away the pain of operating global teams. Our clients can onboard employees anywhere in the world with a few mouse clicks. (London)

Verchable Building next generation video search using Computer Vision. (London)

Volatile AI Combining existing gas sensors with bio-inspired AI algorithms to monitor food aroma. (London)

Cargoflip An all-in-one platform to simplify international trade for businesses. (Berlin)

ElementZero Biolabs The next generation of tools for capturing genetic information. (Berlin)

hier foods An end-to-end procurement tool for regional food. (Berlin)

Iskra Low code, complete Machine Learning platform. (Berlin)

Blendeez Blendeez helps business users make CRM external and internal apps work together at scale with no technical skills. (Paris)

Contreeb We enable online shops and their consumers to balance their carbon footprint. (Paris)

DeepLife DeepLife creates digital twins of cell to accelerate drug discovery. (Paris)

EyePick EyePick builds a brain for robots to see, understand and act in the real-world. (Paris)

Lynceus Lynceus is building the world’s most reliable manufacturing quality prediction software. (Paris)

Samp Digital twins for industrial facilities – reliable knowledge for everyone. (Paris)

X80 Security Generating intelligent cyber defences through automatic threat simulation. (Paris)