AIs – Earlybirds Invest https://earlybirdsinvest.com Latest Crypto News Thu, 19 Jun 2025 13:00:49 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.7 https://i0.wp.com/earlybirdsinvest.com/wp-content/uploads/2024/12/cropped-New-Project-2024-12-17T235703.455.png?fit=32%2C32&ssl=1 AIs – Earlybirds Invest https://earlybirdsinvest.com 32 32 240146708 Barry Silbert, Bittensor, and AI’s Next Frontier Dominate Headlines in Paris at Proof of Talk 2025 https://earlybirdsinvest.com/barry-silbert-bittensor-and-ais-next-frontier-dominate-headlines-in-paris-at-proof-of-talk-2025/ https://earlybirdsinvest.com/barry-silbert-bittensor-and-ais-next-frontier-dominate-headlines-in-paris-at-proof-of-talk-2025/#respond Thu, 19 Jun 2025 13:00:49 +0000 https://earlybirdsinvest.com/barry-silbert-bittensor-and-ais-next-frontier-dominate-headlines-in-paris-at-proof-of-talk-2025/

Last updated: 

  • Breakthrough announcements by Yuma Group, peaq, Pulsar, Somnia, and Entravel set the tone at Proof of Talk 2025, where visionary discussions, like Silvio Micali’s tokenless Fiat Chain, pushed the boundaries of what’s next for AI and decentralized systems – from infrastructure to finance
  • More than 3,000 leaders from policy, finance, and blockchain gather for powerful conversations, key announcements, and groundbreaking initiatives in the heart of Paris

Returning to the historic Louvre Paris, Proof of Talk 2025 delivered its most impactful edition yet, welcoming over 3,000 attendees from across the globe for two days of high-level dialogue, transformative insights, and real-world action across DeAI, DeFi, tokenization, and beyond.

Proof of Talk once again proved itself as the forum where traditional finance, frontier tech, and decentralized builders converge to shape the future of global systems, with Barry Silbert making a highly anticipated return to the public stage after nearly five years away. In a headline-making panel with Mosaic Venture Partners’ David Lawee and former Forbes Senior Reporter Michael del Castillo, Silbert announced that Yuma Group will launch an asset management business focused on alpha token strategies. The initiative marks Silbert’s entry into the rapidly growing Bittensor ecosystem and is designed to give institutional investors streamlined access to high-potential teams and projects building across its subnets, potentially signaling a pivotal moment in Bittensor’s evolution.

Bittensor also took center stage at Proof of Talk 2025, with Co-founder Jacob Steeves delivering a standout keynote, “Satanic to Sublime: Aligning Human Potential Through Open-Ownership Protocols.” The mainstage was packed to the last seat, with attendees standing to hear his powerful vision for decentralized AI and open-ownership systems.

Some other standout announcements include Somnia, detailing how Sparkball, backed by $2M and developed by industry veterans, will leverage Somnia’s Layer 1 network to introduce on-chain wager mechanics and prize tournaments and transform the esports landscape; and Entravel launching EntravelX, the world’s first Telegram-native hotel booking app, tailored for the growing wave of crypto-savvy travelers.

Unveiled live at Day 2 of Proof of Talk 2025, peaq, the Machine Economy computer, and Pulsar Group, a leading Emirati advisory firm in tech and blockchain, also announced the launch of the world’s first Machine Economy Free Zone (MEFZ), set to roll out in Abu Dhabi and Dubai while legendary MIT professor and Algorand founder Silvio Micali took the main stage to unveil a bold new vision for blockchain: the Fiat Chain, a public, decentralized ledger that operates without a native cryptocurrency.

Zohair Dehnadi, Co-Founder and CEO of Proof of Talk, said:

“Proof of Talk 2025 has marked a milestone in bringing together visionary leaders and groundbreaking projects in the blockchain space. With announcements like Somnia’s ecosystem expansion and deep discussions on finance and tokenization, it’s clear that this industry is moving beyond innovation to become a core part of our digital future. We’re excited to keep driving this momentum.”

Over 700 industry-leading Web3 companies were present at Proof of Talk 2025, showcasing their latest innovations and thought leadership across one of the space’s most influential and curated exhibitions. Title sponsors included MEXC Ventures, the investment arm of the global cryptocurrency exchange MEXC, Unit Network, a decentralized financial ecosystem enabling trading of real-world and digital assets through tokenization, Somnia, a pioneer in immersive metaverse infrastructure; CertiK, the premier blockchain security firm; and General Tao and Tao Ventures, builders and investors in decentralized AI infrastructure, both recognised as thought leaders within the Bittensor ecosystem.

Wrapping up an inspiring two days of conversations and innovation, Proof of Talk 2025 culminated with the launch of the Top 50 Women in Web3 & AI initiative, in partnership with CoinDesk and TON Foundation, celebrating leading female innovators in blockchain and AI. The winners were recognised at an exclusive gala dinner, honoring excellence, leadership, and the power of representation in tech. Among them were Daniela Amodei, Co-founder and President of Anthropic; Anima Anandkumar, Bren Professor of Computing and Mathematical Sciences at the California Institute of Technology; and Betsabe Botaitis, Chief Financial Officer of Hedera. The launch highlighted the vital need for greater representation and recognition of women in tech’s fastest-growing fields.

With event highlights such as the Investor Dinner and Proof of Pitch Startup Competition and over 140 VCs joining from a16z, Pantera Capital, Arrington, Borderless, Animoca Brands, and Haun Ventures, alongside institutional heavyweights such as BlackRock, J.P. Morgan, and Goldman Sachs, this years event made one thing clear: crypto is here to stay.

Following the success of the 2025 edition, Proof of Talk will return in 2026 with an expanded format and a continued commitment to hosting the most influential conversations in Web3 and beyond. For more information on future editions and partnership opportunities, visit: www.proofoftalk.io.


]]>
https://earlybirdsinvest.com/barry-silbert-bittensor-and-ais-next-frontier-dominate-headlines-in-paris-at-proof-of-talk-2025/feed/ 0 42908
Why sports fans are AI’s perfect users https://earlybirdsinvest.com/why-sports-fans-are-ais-perfect-users/ https://earlybirdsinvest.com/why-sports-fans-are-ais-perfect-users/#respond Mon, 21 Apr 2025 07:52:00 +0000 https://earlybirdsinvest.com/why-sports-fans-are-ais-perfect-users/

The following is a guest post and opinion from Mitch Liu, CEO at Theta Lab.

The debate around artificial intelligence often focuses on “knowledge workers” and creative professionals, but there’s a compelling case that sports fans may be the ideal early adopters of AI technology. While industries like real estate, e-commerce, and education lead current chatbot adoption, professional sports present a unique opportunity for AI to enhance rather than simply automate the user experience.

Sports naturally generate the kind of structured information that current AI systems handle best: statistics, schedules, historical data, and clear performance metrics. Unlike more nebulous domains, sports provide concrete data points and clear outcomes that AI can analyze effectively. The predictable cadence of games and seasons also creates natural cycles for gathering data and testing new features.

But the real advantage lies in how sports fans already consume information. They’re used to engaging with multiple data streams simultaneously—watching games while checking stats, following social media commentary, placing hopeful sports bets, and engaging in real-time discussions. This behavior aligns perfectly with AI’s ability to process and synthesize information from various sources.

Following the Numbers and Creating Experiences

Recent academic research supports this potential. An October 2024 review published in AI and Tech in Behavioral and Social Sciences found that AI is already transforming sports through enhanced analytics, predictive modeling, and personalized fan experiences. The key is that these use cases don’t replace the core emotional experience of being a fan—they augment it.

Consider how the NFL has integrated AI into its operations. The league’s Digital Athlete program, launched in 2024, uses machine learning to analyze player data and predict injury risks. While primarily focused on player safety, this same tech could help fans understand the game at a deeper level and provide insights into player performance and team dynamics that weren’t previously accessible. FIFA Manager might never be the same again!

More direct applications are emerging in fan engagement. The NHL teams, the Vegas Golden Knights and New Jersey Devils, for instance, recently partnered with our team at Theta Labs to develop an AI-powered chatbot that assists fans with inquiries about upcoming games, tickets, broadcasts, statistics, merchandise, and other curated team news and information. These interactive tools, named Sir Lancelbot and Bott Stevens, are available 24/7 on the teams’ official websites, enhancing the fan experience by providing timely and accurate responses through a customized and branded AI agent.

With a strong foothold being carved out in traditional sports, this technology is proving to click with fandoms and communities looking for ways to digitally interact with their favorite teams. It is going exceptionally well with traditional sports, but esports—with top games like Valorant, League of Legends, Rocket League, and CS—offers an even more incredible opportunity, potentially with a higher ceiling. With digitally native games, leagues, teams, and fandoms, it is an incredibly tailored use case for agentic AI.

This type of real-time proactive technology is capable of adding an interactive and life-like experience seamlessly into a digitally native environment, and some teams are already creating these experiences. Remember seeing your local club’s mascot on the sidelines at games? With agentic AI agents, those mascots can be created to have the same team spirit and aesthetics with the added benefit of infinite team and league knowledge and 24/7 interactivity. Missed a play? Just ask your team’s agent and get a recap in real time.

The Personalization Opportunity

This points to a broader opportunity: using AI to create more personalized and interactive fan experiences. Traditional sports media follows a one-size-fits-all model, but AI enables customization at scale and hyper-personalization. A casual fan might receive basic strategy explanations, while a dedicated follower gets advanced tactical analysis—all generated in real time from the same underlying game data.

This tech is particularly suited to addressing common fan pain points. Want to understand why your team’s defense collapsed in the fourth quarter? AI can analyze tactical patterns and explain the breakdown. Wondering about the historical context of a player’s performance? AI can instantly surface relevant comparisons and trends. These capabilities don’t diminish the emotional core of fandom—they enhance it by adding layers of understanding and engagement.

AI With Purpose

However, sports organizations need to approach this thoughtfully. The goal isn’t to replace traditional fan experiences but to augment them. The best implementations will feel natural and intuitive, adding value without forcing technology into places where it doesn’t belong. The human elements of sports—the community, the drama, the unexpected moments—must remain central.

The infrastructure for this transformation is already emerging. Decentralized blockchain platforms like Theta EdgeCloud are making high-performance AI computing more accessible, while advances in natural language processing are enabling more natural fan interactions. The key is applying these capabilities in ways that genuinely enhance the fan experience rather than simply chasing technological novelty.

Sports fans may not fit the typical early adopter profile, but as a group, they are shaping up to be the next frontier for driving AI adoption: regular engagement with structured data, comfort with multiple information streams, a desire for deeper understanding of their passion, and a willingness to spend a lot of time on it. As AI continues to evolve, the sports industry has an opportunity to lead rather than follow—creating experiences that demonstrate how technology can enhance rather than replace human connection.

The real question isn’t whether AI will transform the sports fan experience, but whether sports and esports organizations will seize the opportunity to shape that transformation thoughtfully and purposefully. Those that do may find themselves not just improving fan engagement, but helping to define how AI technology can enhance human experiences more broadly.

]]>
https://earlybirdsinvest.com/why-sports-fans-are-ais-perfect-users/feed/ 0 32006
Figure AI’s Helix Lets Robots Think, Move, and Adapt Like Humans https://earlybirdsinvest.com/figure-ais-helix-lets-robots-think-move-and-adapt-like-humans/ https://earlybirdsinvest.com/figure-ais-helix-lets-robots-think-move-and-adapt-like-humans/#respond Fri, 21 Feb 2025 09:04:28 +0000 https://earlybirdsinvest.com/figure-ais-helix-lets-robots-think-move-and-adapt-like-humans/

Figure AI has introduced Helix, an artificial intelligence (AI) that allows humanoid robots to follow spoken instructions and handle objects they’ve never seen before—without requiring special training or programming.

Helix operates using two main components. One processes language and vision, helping the robot understand commands and plan actions. The other translates those plans into physical movements, which ensure smooth and precise control.

This combination allows robots to recognize objects and figure out how to handle them without prior knowledge.

What is a Bitcoin Faucet? Pros & Cons Explained (With Animations)

Did you know?

Want to get smarter & wealthier with crypto?

Subscribe – We publish new crypto explainer videos every week!

On February 20, Figure AI shared a video of two robots sorting groceries. One passed items to the other, which placed them in either a fridge or a cabinet. Despite having no prior information about these specific objects, they correctly identified which items needed refrigeration and which could be stored elsewhere.

Brett Adcock, founder of Figure AI, stated on X:

Like a human, Helix understands speech, reasons through problems, and can grasp any object – all without needing training or code.

According to Figure AI, this ability comes from its Vision-Language-Action (VLA) model. This system connects visual recognition, language processing, and movement control, allowing robots to work together and adjust to new situations in real-time.

Figure AI trained Helix on about 500 hours of robot demonstrations and used an automated system to generate natural language instructions for each action. The final model runs on built-in processors, making it ready for commercial use without external computing power.

On February 18, Elon Musk’s xAI launched Grok 3, its latest AI model. What are Grok 3’s key highlights? Read the full story.

Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.


]]>
https://earlybirdsinvest.com/figure-ais-helix-lets-robots-think-move-and-adapt-like-humans/feed/ 0 20896
People think AIs are conscious. What could this mean for bots in OpenSim? https://earlybirdsinvest.com/people-think-ais-are-conscious-what-could-this-mean-for-bots-in-opensim/ https://earlybirdsinvest.com/people-think-ais-are-conscious-what-could-this-mean-for-bots-in-opensim/#respond Sat, 15 Feb 2025 12:51:05 +0000 https://earlybirdsinvest.com/people-think-ais-are-conscious-what-could-this-mean-for-bots-in-opensim/
(Image by Maria Korolov via Adobe Firefly.)

I’ve been interacting with OpenSim bots — or NPCs — for nearly as long as I’ve been covering OpenSim. Which is about 15 years. (Oh my God, has it really been that long?)

I’ve been hoping that OpenSim writing would become by day job, but, unfortunately, OpenSim never really took off. Instead, I covered cybersecurity and, more recently, generative AI.

But then I saw some reporting about a new studies about AI, and immediately thought — this could really be something in OpenSim.

The study was published this past April in the journal Neuroscience of Consciousness, and it showed that a majority of people – 67% to be exact – attribute some degree of consciousness to ChatGPT. And the more people use these AI systems, the more likely they are to see them as conscious entities.

Then, in May, another study showed that 54% of people, after a conversation with ChatGPT, thought it was a real person.

Now, I’m not saying that OpenSim grid owners should run out and install a bunch of bots on their grids that pretend to be real people, in order to lure in more users. That would be dumb, expensive, a waste of resources, possibly illegal and definitely unethical.

But if users knew that these bots were powered by AI and understood that they’re not real people, they might still enjoy interacting with them and develop attachments to them — just like we get attached to brands, or cartoon animals, or characters in a novel. Or, yes, virtual girlfriends or boyfriends.

In the video below, you can see OpenAI’s recent GPT-4o presentation. Yup, the one where ChatGPT sounds suspiciously like Scarlett Johansson in “Her.” I’ve set it to start at the point in the video where they’re talking to her.

I can see why ScarJo got upset — and why that particular voice is no longer available as an option.

Now, as I write this, the voice chatbot they’re demonstrating isn’t widely available yet. But the text version is — and its the text interface that’s most common in OpenSim anyway.

GPT-4o does cost money. It costs money to send it a question and to get a response. A million tokens worth of questions — or 750,000 words — costs $5, and a million token’s worth of response costs $15.

A page of text is roughly 250 words, so a million tokens is about 3,000 pages. So, for $20, you can get a lot of back-and-forth. But there are also cheaper platforms.

Anthropic’s Claude, for example, which has tested better than ChatGPT in some benchmarks, costs a bit less — $3 for a million input tokens, and $15 for a million output tokens.

But there are also free, open-source platforms that you run on your own servers with comparable performance levels. For example, on the LMSYS Chatbot Arena Leaderboard, OpenAI’s GPT-4o in in first place with a score of 1287, Claude 3.5 Sonnet is close behind with 1272, and the (mostly) open source Llama 3 from Meta is not too far distant, with a score of 1207 — and there are several other open source AI platforms at the top of the charts, including Google’s Gemma, NVIDIA’s Nemotron, Cohere’s Command R+, Alibaba’s Qwen2, and Mistral.

I can easily see an OpenSim hosting provider adding an AI service to their package deals.

(Image by Maria Korolov via Adobe Firefly.)

Imagine the potential for creating truly immersive experiences in OpenSim and other virtual environments. If users are predisposed to see AI entities as conscious, we could create non-player characters that feel incredibly real and responsive.

This could revolutionize storytelling, education, and social interactions in virtual spaces.

We could have bots that users can form meaningful relationships with, AI-driven characters that can adapt to individual user preferences, and virtual environments that feel alive and dynamic.

And then there’s the potential for interactive storytelling and games, with quests and narratives that are more engaging than ever before, create virtual assistants that feel like true companions, or even build communities that blur the lines between AI and human participants.

For those using OpenSim for work, there are also applications here for business and education, in the form of AI tutors, AI executive assistants, AI sales agents, and more.

However, as much as I’m thrilled by these possibilities, I can’t help but feel a twinge of concern.

As the study authors point out, there are some risks to AIs that feel real.

(Image by Maria Korolov via Adobe Firefly.)

First, there’s the risk of emotional attachment. If users start to view AI entities as conscious beings, they might form deep, potentially unhealthy bonds with these virtual characters. This could lead to a range of issues, from social isolation in the real world to emotional distress if these AI entities are altered or removed.

We’re already seeing that, with people feeling real distress when their virtual girlfriends are turned off.

Then there’s the question of blurred reality. As the line between AI and human interactions becomes less clear, users might struggle to distinguish between the two.

Personally, I’m not too concerned about this one. We’ve had people complaining that other people couldn’t tell fantasy from reality since the days of Don Quixote. Probably even earlier. There were probably cave people sitting around, saying, “Look at the young people with all their cave paintings. They could be out actually hunting, and instead they sit around the cave looking at the paintings.”

Or even earlier, when language was invented. “Look at those young people, sitting around talking about hunting, instead of going out there into the jungle and catching something.”

When movies were first invented, when people started getting “addicted” to television, or video games… we’ve always had moral panics about new media.

The thing is, those moral panics were also, to some extent, justified. Maybe the pulp novels that the printing press gave us didn’t rot our brains. But Mao’s Little Red Book, the Communist Manifesto, that thing that Hitler wrote that I don’t even was aided and abetted by the books they wrote.

So that’s what I’m most worried about — the potential for exploitation. Bad actors could misuse our tendency to anthropomorphize AI, creating deceptive or manipulative experiences that take advantage of users’ emotional connections and lead them to be more tolerant of evil.

But I don’t think that’s something that we, in OpenSim, have to worry about. Our platform doesn’t have the kind of reach it would take to create a new dictator!

I think the worst that would happen is that people might get so engaged that they spend a few dollars more than they planned to spend.

Maria Korolov
Latest posts by Maria Korolov (see all)

]]>
https://earlybirdsinvest.com/people-think-ais-are-conscious-what-could-this-mean-for-bots-in-opensim/feed/ 0 19634