Combining Knowledge Graphs and Large Language Models

Posted on by YOSEF

Introduction

The growing interest in integrating Knowledge Graphs (KGs) and Large Language Models (LLMs) to enhance Natural Language Processing (NLP) applications is large. LLMs, such as BERT, GPT, and T5, have achieved state-of-the-art performance in various NLP tasks but still exhibit limitations, such as generating hallucinations (false information) and lacking domain-specific knowledge. KGs, on the other hand, provide structured and accurate information about entities and their relationships, which can complement LLMs’ capabilities. Even though LLMs are powerful NLP models trained on vast amounts of text data to understand and generate human language, they sometimes produce incorrect or nonsensical information, especially in domain-specific contexts.

So what are KGs and how can they improve LLMS? Knowledge Graphs (KGs): are databases that represent information in a structured format, with entities (nodes) connected by relationships (edges). They capture the semantics and interconnections between entities, making them valuable for enhancing the factual accuracy and domain knowledge of LLMs.

Methods for Enhancing LLMs with KGs

  1. Knowledge Injection: KAPING (Knowledge-Augmented Pre-trained Language Models) and DRAK (Dynamic Relational Attention Knowledge) are techniques that inject factual knowledge from KGs into LLMs to provide context and improve performance in tasks like zero-shot question answering. This helps LLMs generate more accurate and relevant responses by leveraging structured knowledge. 
  • Example: Injecting information about medical conditions and treatments from a medical KG into an LLM to improve its performance in medical question-answering tasks.
  1. Increasing Explainability: Methods like QA-GNN (Question Answering with Graph Neural Networks) and LMExplainer integrate KGs with LLMs to provide better interpretability and reasoning paths for the model’s outputs. By incorporating KGs, these methods can trace back the sources of information and explain how a particular answer was derived. 
  • Example: Using a KG to provide reasoning paths for answers generated by an LLM, making it easier to understand the logic behind the model’s responses in a legal context.
  1. Semantic Understanding: Approaches like LUKE (Language Understanding with Knowledge-based Embeddings) and R3 (Relational Reasoning for Reading Comprehension) enhance LLMs by adding semantic understanding and entity embeddings from KGs. This allows LLMs to better comprehend the relationships between entities and generate more coherent and contextually appropriate responses.
  • Example: Enhancing an LLM with embeddings from a geographic KG to improve its understanding of geographical entities and relationships in tasks like location-based question answering.

Methods for Enhancing KGs with LLMs

  1. Temporal Forecasting: LLMs are used to predict future facts in Temporal Knowledge Graphs (TKGs) by understanding the semantic meaning of entities and relationships over time. This helps in forecasting events and trends based on historical data stored in KGs.
  • Example: Using an LLM to predict future business trends by analyzing historical data on company performances and market conditions stored in a TKG.
  1. Knowledge Graph Construction: LLMs assist in the construction of KGs by performing tasks like relation extraction, entity recognition, and property identification. This automates the process of building and updating KGs, making it more efficient and accurate.
  • Example: Using an LLM to extract relationships between scientific concepts from research papers and incorporate them into a scientific KG.

Brief Thematic Analysis 

There is a complementary relationship between KGs and LLMs, and their integration can significantly improve the performance and trustworthiness of AI applications. The key themes include:

  1. Accuracy and Reliability: Integrating KGs with LLMs improves the factual accuracy and reliability of the models by providing structured and verified information.
  2. Explainability and Interpretability: Methods that combine KGs and LLMs enhance the explainability of model outputs, making it easier to understand and trust the generated information.
  3. Efficiency and Automation: Using LLMs to construct and maintain KGs automates the process, reducing the time and effort required for manual updates.

Credit: Tesfu Assefa

Conclusion

The integration of KGs and LLMs offers a promising approach to addressing the limitations of LLMs and enhancing the capabilities of KGs. It is a discussion of current and future challenges in this field, providing insights for researchers and practitioners interested in this area. The key takeaways include:

  1. Mutual Benefits: KGs provide structured and domain-specific knowledge to LLMs, reducing hallucinations and improving accuracy, while LLMs enhance the construction and updating of KGs, making the process more efficient.
  2. Research Directions: Future research should focus on developing more sophisticated methods for integrating KGs and LLMs, addressing challenges such as scalability, dynamic updates, and context awareness.
  3. Practical Applications: The integration of KGs and LLMs has significant implications for various NLP applications, including question answering, information retrieval, and knowledge management.

Key Points

  • Knowledge Injection: Techniques like KAPING and DRAK use KGs to provide additional context and facts to LLMs, improving their performance in tasks such as zero-shot question answering.
  • Explainability: Methods like QA-GNN and LMExplainer integrate KGs with LLMs to provide better interpretability and reasoning paths for the models’ outputs.
  • Semantic Understanding: Approaches like LUKE and R3 enhance LLMs by adding semantic understanding and entity embeddings from KGs.
  • Temporal Forecasting: LLMs are used to predict future facts in Temporal Knowledge Graphs (TKGs) by understanding the semantic meaning of entities and relationships over time.
  • KG Construction: LLMs assist in the construction of KGs by performing tasks like relation extraction and property identification, making the process more automated and accurate.

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Ten books to read to understand technology and change

Posted on by David Wood

Looking for a guidebook to help you navigate our changing world?

Has the pace of change in the 21st century got you disorientated? 

Let me draw your attention to ten books I’ve read recently. They each deal with the development of technology in the present and the near future, and its effects on society. Each of them are eye-opening and thought-provoking in their own ways. Indeed, they might change your life path, so beware!

Credit: David Wood

1) Power, Sex, Suicide: Mitochondria and the meaning of life. By Nick Lane.

Fascinating account of the remarkable (and unlikely) evolutionary journey from non-life to modern warm-blooded life. With plenty of insights along the way regarding energy, sex, aging, and death. You’ll wonder why you never knew about this before.

2) Methuselah’s Zoo: What nature can teach us about living longer, healthier lives. By Steven Austad.

A different view regarding what animals can teach us about aging. Many animals live longer, healthier lives than any simple theory would predict – this book explains why and considers the implications for human aging, and for what kind of studies rejuvenation researchers should prioritize.

3) Eve: How the female body drove 200 million years of human evolution. By Cat Bohannon.

Milk. The womb. Menopause. Perception. Tools. Voice. The brain. Love. When you look at the long span of evolution from a female perspective, many things fall into place in an inspiring new way. A welcome reminder that our approach to science often suffers from being male-centric.

4) We Are Electric: The new science of our body’s electrome. By Sally Adee.

A look at biology from a fascinating alternative angle. The electricity throughout our bodies is involved in more processes than we previously thought. Move over genome, epigenome, and biome: make way for the electrome.

5) Sentience: The invention of consciousness. By Nicholas Humphrey.

Why did evolution give rise to phenomenological consciousness? How can we detect and assess consciousness throughout the animal kingdom? And what are the implications for AIs that might be sentient? Lots of captivating biographical asides along the way.

Credit: Tesfu Assefa

6) The Other Pandemic: How QAnon contaminated the world. By James Ball.

Evolution has produced not just intelligence and beauty but also viruses and other pathogens. Mental pathogens (‘memes’) have lots in common with their biological analogues. That’s one reason why the whole world may be on the point of going crazy.

7) The Deadly Rise of Anti-Science: A scientist’s warning. By Peter Hotez.

Part of the growing wave of social irrationality is a determined virulent opposition to the patient methods and hard-won insights of science. Millions have already died as a result. There may be worse ahead. What lies behind these developments? And how can they be parried?

8) End Times: Elites, counter-elites, and the path of political disintegration. By Peter Turchin.

Can we ever have a science of history? Is that idea a fantasy? This book argues that there are important patterns that transcend individual periods of revolutionary turmoil. However, there’s no inevitability in these patterns, provided we are wise and pay attention. You’ll never look at history the same way again.

9) The Coming Wave: Technology, power, and the 21st century’s greatest dilemma. By Mustafa Suleyman.

Current debates about the safety of powerful AI systems should be understood in wider context: economic, political, and historical context. Following a full diagnosis, a ten-stage multi-level plan provides some grounds for optimism.

10) Uncontrollable: The threat of artificial superintelligence and the race to save the world. By Darren McKee.

Will powerful AI systems pose catastrophic risks to humanity? Are you, as an individual, helpless to reduce these risks? Read this book to find out. Written compellingly, with particular clarity.

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A Paean for Privacy and the Accidental Authoritarian Tomorrow

Posted on by SB Fisher

I lost my phone the other day. I retraced my steps around town before giving up and going home – where I could fire up Google on my laptop and quickly locate the device. Not just to a local area, but to the exact hedgerow where it had fallen out of my pocket – right down to the individual shrub. Blessed be! With a quiet and fervent prayer of thanks to Google, I got on with my day – safe in the knowledge Google was tracking every movement I made.

It didn’t take long for my gratitude to turn sour. Of course, I’ve known all along: Google can track me. Law enforcement have been pinging cell towers to track suspects since the 1990s. Yet something about the precision strike on my location felt different. Google doesn’t just know what block I’m on – it knows which couch I’m sitting on.

The End of Individual Freedom

It’s not just Google. An industry handles the data that Google collects, and it’s shared with the government and military under the PRISM project. It’s hard to have any faith that SHA-256 encryption or and Google’s cybersecurity practices mean our data is only handled in just and proper ways. Only recently the company deleted an entire pension fund. Oops.

This is not a polemic against Google, they’re just a useful example. Surveillance capitalism powers most major tech corporations, their market cap riding on the data they process and harvest every centisecond: location data, online interactions, and creepy psychological profiles based on that. 

When I praised the ability to find my device, glad that Google was watching, I exemplified the attitude of consumers who have for decades now ceded autonomy to zaibatsus in exchange for the services they provide. Yet the relentless data breaches, lawsuits, and system outages are starting to make society question, rightly, how senseless this ultimately was. 

Are you comfortable having your preferences tracked to have good and appropriate products advertised to you? Are you any naturally less comfortable with the idea of major corporations being able to construct a better profile of you than your psychotherapist could? Privacy is now a battleground of the individual against the corporation. Our future society depends on the battle. 

Credit: Tesfu Assefa

Wiretapped

You – dear reader – no longer have the right, or indeed the ability, to protect your personal privacy. Google quite literally knows more about you than your family and friends do. After all, does your husband or wife know where you are all the time? And if they had the ability to find out, how comfortable would you be if they kept on tracking you? Probably not; you’d probably file for divorce. Google – and their NSA partners – already know. As would anyone who hacked their systems, or any Google employee with the right access. 

This spectre of panoptic rule by corporations is somewhat diluted by the sheer weight of information we produce. It takes sophisticated algorithms to rapidly index the copious amounts of information being vomited forth every second and make it, as per Google’s credo ‘organised and accessible’. Without the AI, invasions of privacy would have to be tailored, slowing our corporate adversaries. However, the advent of LLMs, AIs, better data indexing tools, and ever more sensory equipment dotted around thanks to the “Internet of Things’ – such complete intrusive oversight of our lives, all our lives, is on the verge of complete reality. 

“The USA Patriot Act of 2001 authorized unprecedented surveillance of American citizens and individuals worldwide without traditional civil liberties safeguards” – it was a scandal at the time and it’s gotten so much worse since. The size, scale and sense that our lives are being recorded has only grown. Do you really believe Alexa isn’t listening? Do you think that our phones are not recording? Do you think Microsoft bought Discord because of the revenue it generates? Many people have had the Baader Meinhof effect where they talk to a friend about an anime series and then see merchandise for that series advertised to them. If that’s happened to you I am sorry to say you’ve been wiretapped. 

Authoritarian Angst

We’ve all been wiretapped. Constantly. For years. We broadly put up with it  with various excuses: “the data I produce isn’t actionable”, “the NSA wouldn’t do anything bad with it”, “we need to stop terrorists”. But the truth – practically and neurologically – is that we addicted to the devices that surveil us. The rise of AI means all that data is actionable. An interviewer will pay a tech corporation for an online profile of you for every job you apply to, and have an LLM review all your recent online activity for red flags. A bank may refuse you a loan because your phone location went to the casino twice this month. Police may visit you if your political leanings are suspect.

This is just the tip of the authoritarian spear. Western propaganda points fingers at China as a fearful vision of an authoritarian future, where facial recognition is common. But do they realise the megacorps of mostly the USA that are architected modern digital surveillance? I am delighted that you found my phone, Google – all it cost me was everything. It is essential to restore privacy to technology, and to create systems where the user controls their data, their applications and their devices – but I fear we may be too late.

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Is The Era of Generative AIs Already Over?

Posted on by SB Fisher

As Wall Street begins to call AI’s bluff, have GPTs to date delivered a ‘killer app’? 

First, excitement. Then, fear. Then boredom? Generative AIs and LLMs burst onto the scene with considerable fanfare. It wasn’t long before prophets of doom began declaring the end times for late-stage capitalism and the beginning of techno-fiefdoms that would take our jobs and remake our societies – for better or for worse.

Venture capital sent waves of backing to AI startups desperate to seize a piece of the new frontier for themselves. Formerly a niche interest of nerds who had taken psychedelics and saw the machinery of the mind, AI became the marketing buzzword, draping itself seductively over every sector in the economy. 

The future, and the end, was nigh. Intellectual automation was on the brink of world dominion. No job was safe, no social structure secure – and what happened next would define the rest of our lives. 

Except perhaps, it wouldn’t. Perhaps – unlike the PC, smartphones and social networks that were Big Tech’s last great inventions – LLMs and generative AI are struggling to move the needle quite the way we expected. Wall Street started to panic, and soon after so did everyone else. CEOs who had replaced parts of their workforce with GPT were suddenly wearing shocked pikachu faces that the output didn’t have consistent quality, and that customers do not like the feeling of being served by a machine. 

We’ve had decades of films, books and sci-fi to warn us about the perils of abandoning our organic agency – and seeing the first glimmers of that in our real world has been a warning, a terrifying one for some. More simply: why am I paying for a service you’ve decided a GPT can do for me? I might as well just download my own. 

This isn’t to say AI hasn’t had an impact, it has. My writer friends working on the content-farm base of the pyramid have struggled, as have my musician mates who chiefly trade in jingles and ditties. Only my most talented friends in graphic design have survived so far. Many creatives hacking out at a living at the base of the pyramid are finding work harder and harder to find. To them I say: don’t worry, your time will come again. It doesn’t matter how good AI gets – it still smells like AI. And people are already turning against it. We don’t mind when it’s used for the little things, but for anything that has value to us, or anything we pay for – we want a human. 

Credit: Tesfu Assefa

People would rather read error-strewn human-made logically inconsistent rubbish than pristine AI copy devoid of true insight. And if you’re writing technical documents. Well – someone still needs to check the LLM hasn’t hallucinated that you’re meant to cut the blue wire not the red. Accountability matters. You can’t hold a generative machine accountable for anything; it doesn’t know what it said.

Practically, the generative AI train’s wheels are also grinding to a halt. Initially, vast amounts of data were acquired, and fed to competent models, and engineers got exponential progression in ability. Now the returns are diminishing fast. 

Our carbon-based neural clusters are so dense that we can discern, judge and then perform tasks we have never encountered before – and we can do it pretty damn well. We just can’t fit that many more transistors on a chip, and we can’t feed an AI more data in a whole lifetime than we absorb in a single day through our five senses. The gulf in class between us and our baby-models is too vast, no matter how much corporations with a vested interest in saving labour-costs want to convince us otherwise.

Besides, these models are expensive. Fearsomely, ridiculously expensive. Nvidia briefly overturned all its rivals trying to build bespoke corporate AIs by selling the shovels required to make them. The race for ‘compute’ is as scary as it is damaging to the bottom line. Invest now, save and earn later – that’s the basic principle of investment, but with AI the balance is completely out of whack, with trillions invested into models that, to date, have failed to deliver any sort of ‘killer app’. 

Indeed, the killer app is probably already here: in the form of GPT’s ability to summarise and recapitulate difficult documentation. I’m coding a game right now – GPT is a godsend, in education as well as application. As an assistant, it’s a delight. Yet perhaps that’s where the generative AI advance ends for now. It’s a useful time-saver, and Skynet’s rise to power is still far away. White-collar workers may indeed be safe. I’ve already seen writing jobs re-emerge en masse as CEOs begin to realise their mistake. It seems that the collective AI mania has begun to abate, and by treating our new tool as just that, a handy new tool, we’ll all be much the better for it.

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Bitcoin: These Governments Hold Billions of Dollars in BTC

Posted on by Werner

New crypto poster boy Donald Trump made waves at the recent Bitcoin Nashville 2024 conference where he and other politicians unveiled plans to create a governmental ‘Bitcoin reserve’ of sorts. This bullish news came in the wake of a tough July for BTC where Germany sold off $3 billion of dollars in seized Bitcoin, pushing its price down significantly to the low $50,000s.

While Bitcoin started as a libertarian ideal which was supposed to help free Joe Public from the financial control of evil governments and their central banks, 15 years later it is clear that idealism doesn’t survive reality unharmed. 

The US government now holds a staggering 200,000, and it’s not the only country to have a big bag of Bitcoin for a rainy day. Other governments around the world have found themselves in possession of significant amounts of Bitcoin (BTC) and other cryptocurrencies, which they are HODLing for whatever reason they deem fit. 

These holdings are often the result of seizures from criminal activities rather than intentional investments, but that makes no difference in the end. The growing stockpile of digital assets under state control has consequences that must be considered. 

Let’s look at Bitcoin holdings of several major governments, how they acquired these assets, and the potential implications for the crypto market.

United States: The Largest Government Holder of Bitcoin

According to data from blockchain analytics firm Arkham, the US government holds over 213,000 BTC, along with various other cryptocurrencies, bringing its total crypto holdings to approximately $4 billion. This makes it the largest holder of bitcoin among governments globally, accounting for about 1% of the total bitcoin supply of 21 million.

Interestingly, the US government has never directly purchased Bitcoin. Instead, its holdings are the result of seizures from illegal activities, particularly from the Silk Road marketplace, which was shut down by the FBI in 2013. The U.S. government has auctioned off a significant portion of its seized bitcoins, having sold around 195,000 bitcoins, generating approximately $366 million from these sales.

Some other notable cases include:

  1. The ‘Individual X’ case: An anonymous hacker stole over 69,000 BTC from the Silk Road darknet marketplace between 2012 and 2013. The hacker was apprehended in 2015 and forced to forfeit the stolen funds, going straight to the vaults of Uncle Sam.
  2. James Zhong’s Silk Road exploit: Zhong managed to steal more than 51,000 BTC from Silk Road using a technical exploit, which many don’t consider to be really criminal. He was caught in November 2021 after a decade on the run, which was covered in this fascinating documentary episode.
  3. The Bitfinex hack: In February 2022, authorities arrested Ilya Lichtenstein and his wife, Heather ‘RazzleKhan’ Morgan, for allegedly laundering almost 120,000 BTC stolen in the 2016 Bitfinex hack.

The US government typically keeps seized crypto assets in cold storage during ongoing investigations. Once cases are resolved, these assets are often converted to fiat currency through exchanges or OTC auctions. Between 2014 and 2023, the US government sold over $360 million worth of BTC across 11 different auctions.

However, if Trump gets elected, he has promised that the US government will, “Never sell your Bitcoin”.

China Plays Both Sides

Despite its bipolar attitude and well-known crackdown on cryptocurrency trading and mining, the Chinese government has also found itself in possession of a substantial amount of Bitcoin. In 2020, Chinese authorities seized over 190,000 BTC, along with other cryptocurrencies, from the Plus Token scam project. This massive haul was valued at billions of dollars at the time.

While it’s unclear if China still holds all of these assets, the government stated its intention to process the seized digital currencies “pursuant to laws” and forfeit the proceeds to the national treasury. This suggests that much of the confiscated crypto may have already been exchanged for fiat currency.

Interestingly, despite the ban on crypto mining in China, there have been speculations about state-owned mining operations. In October 2023, reports emerged of a Bitcoin mining operation called Bit Origin, which could be traced back to the Chinese government, raising questions about China’s true stance on cryptocurrency.

United Kingdom Nabs 61,000 BTC from Criminal Activities

The United Kingdom has also amassed a significant Bitcoin holding through law enforcement actions. In one high-profile case, London’s Metropolitan Police seized over 61,000 BTC from a female UK citizen named Jian Wen, who was found guilty of laundering funds from an investment fraud operation in China.

The UK government has been actively seizing cryptocurrencies used in criminal activities. In June and July 2021, the Metropolitan Police confiscated around £180 million worth of crypto assets as part of a money laundering investigation, setting new records for the largest crypto seizures in the country.

A new law that came into effect in April 2024 has given UK law enforcement agencies more power to seize, freeze, and destroy cryptocurrency used by criminals. This legislation is likely to cause even more crypto assets to come under government control in the future.

Ukraine Mixes Government and Official Holdings

Ukraine presents an interesting case in the realm of government Bitcoin holdings. The country has received significant crypto donations to support its war effort, with estimates suggesting over $225 million raised by July 2023. But it’s the holdings of government officials that truly stand out.

In April 2021, a Ukrainian government data report revealed that public officials owned over 46,000 BTC, worth $2.67 billion at the time. Out of 700,000 officials who made property declarations, 652 declared Bitcoin ownership, with an average holding of 71 BTC each. Some officials reported owning over 5,000 BTC, with one claiming ownership of 18,000 BTC – worth over $1.1 billion at current prices.

El Salvador Continues to Accumulate

And of course, this article would be remiss to not mention El Salvador. Under its leader Nayib Bukele, the country became the first to adopt bitcoin as legal tender in September 2021 to much fanfare at the Bitcoin Miami conference. El Salvador was mocked at first for its meager holdings and took even more flak during the 2022 bear market, but with Bitcoin’s dramatic reversal of fortune in 2023, its investment has come up roses ever since.

El Salvador currently holds approximately 5,770 bitcoins, valued at around $340 million as of August 2024. This makes it one of the largest government holders of bitcoin globally.

Credit: Tesfu Assefa

Potential Market Impact and Future Outlook

These big Bitcoin holdings by governments raise a question: what impact can this have on the crypto market? Some come from seizures, some from intentional investments, but either represent a substantial amount of Bitcoin that could potentially enter the market.

Government sales of Bitcoin, such as the recent German government sell-off, give Supply a shot-in-the-arm in its neverending armwrestle against Demand, pushing prices downwards. Such sales also have an indirect effect: generating uncertainty among investors who are worried about the downward pressure of a sudden big sell-off.

Looking ahead, there are several factors that could further influence government attitudes towards Bitcoin:

  1. Regulatory developments: As crypto regulations get more cohesive worldwide, governments may gain more clarity on how to handle their holdings.
  2. Reserve currency potential: Some crypto pundits love to speculate that governments could eventually view Bitcoin as a potential reserve currency, especially given recent recommendations of allowing central banks to hold up to 2% of their reserves in crypto starting January 1, 2025.
  3. Political shifts: Changes in government leadership, such as the potential return of a crypto-friendly administration in the United States under Trump, could lead to more positive policies towards the crypto industry. 
  4. Mining operations: Governments might opt to mine Bitcoin rather than buy it, potentially following China’s alleged model of state-owned mining operations. This will require extensive resources though, and with the recent Halving making it more expensive to mine the currency, it could be tough to get approved. 

Conclusion

The world’s governments becoming significant Bitcoin holders still isn’t standard practice. But government Bitcoin holdings – even if primarily through seizures – is a growing trend, and an intriguing development in the cryptocurrency landscape. 

Add to this the slow but steady accumulation of BTC through a number of spot ETFs led by TradFi giants like BlackRock, and it’s clear that Bitcoin is really starting to reach its ‘digital gold’ end-state. What these governments and Wall Street giants do with their holdings, and the power this gives them over the world’s premier digital asset, remains to be seen. 

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Top Ten Crypto Games for Q3 2024

Posted on by Werner

Introduction

The crypto gaming industry reached a brief but explosive peak in late 2021, hitting its GAME OVER screen as all the metaverse mania quickly fizzled out. Since then, the generally vastly overvalued leading GameFi projects have dropped the bulk of their market cap, as reality met fantasy and we find out that most crypto games were just… well, turn-based gaming crap better suited to the 1990s. 

Fast forward to 2024, the Web3 games sector is still here, and everyone continues to hunt for the next Axie Infinity breakout star of this new bull cycle. 

As a result, the sector has seen substantial growth, even while prices continue to plummet in most cases, with a variety of games that blend immersive experiences with blockchain technology. 

Here are the top ten crypto games to explore in Q3 2024.

1. Heroes of Mavia

Overview 

Heroes of Mavia is a strategy-based MMO where players build bases, manage resources, and engage in battles involving whimsical characters and vehicles. It operates on a play-to-earn model, allowing players to earn MAVIA tokens (on Ethereum and Base).

Why It’s Popular 

The game’s strategic depth and vibrant community make it appealing to both casual and hardcore gamers. Its unique combination of resource management and tactical combat provides a challenging and rewarding experience.

Key Features

  • Base-building and Resource Management: Players construct and upgrade their bases, manage resources, and develop strategies to defend against enemy attacks.
  • PvP and PvE Battles: Engage in intense battles against other players or AI-controlled enemies to earn rewards and climb the leaderboards.
  • Robust In-game Economy: Players can trade resources and items within the game, enhancing their gameplay experience.

2. Shrapnel

Overview 

Shrapnel is a gritty, realistic first-person shooter (FPS) that integrates NFTs and blockchain technology. Players can own, trade, and upgrade in-game items.

Why It’s Popular 

The high-quality graphics and intense gameplay of Shrapnel, combined with the ownership of digital assets, create a compelling experience. The game also features a dynamic environment where players’ actions can significantly impact the game world. It feels and looks like a AAA title. 

Key Features

  • High-Octane FPS Gameplay: Fast-paced and strategic, requiring quick reflexes and tactical thinking.
  • Customizable Weapons and Gear: Players can modify and upgrade their weapons and gear using NFTs.
  • NFT-Based In-Game Items: True ownership of items allows players to trade or sell them on the marketplace.

3. Pixels

Overview 

Pixels is a cozy farming simulation game with pixelated graphics. Players cultivate crops, raise animals, and trade produce. The game utilizes blockchain technology to enable true ownership of in-game assets and had a massive launch earlier in 2024. According to Dappradar, there are 720,000 unique address wallets created for the game thus far. 

Why It’s Popular

Its relaxing gameplay and vibrant visuals appeal to a wide audience, while the blockchain aspect adds an extra layer of engagement. The community-driven economy allows players to collaborate and trade, enhancing the social aspect of the game.

Key Features

  • Farming and Crafting: Grow crops, raise animals, and craft items to develop your farm.
  • NFT-Based Land and Items: Own and trade land and other assets on the blockchain.
  • Social Trading and Interaction: Collaborate with other players to trade goods and resources.

4. Guild of Guardians

Overview 

Guild of Guardians is a fantasy RPG for mobile. Players assemble a team of heroes to battle through dungeons and earn rewards. The game emphasizes cooperative gameplay and NFT ownership.

Why It’s Popular 

The game’s focus on team-building and cooperative play, along with its mobile-first approach, makes it accessible and engaging. The ability to own and trade heroes and items as NFTs adds significant value for players.

Key Features

  • Hero Collection and Team-Building: Collect and upgrade a diverse roster of heroes.
  • Dungeon Crawling and PvE Challenges: Engage in exciting battles and complete challenging quests.
  • NFT-Based Hero and Item Ownership: True ownership of in-game assets allows for trading and selling.

5. Aurory: Seekers of Tokane

Overview

Aurory is a JRPG-inspired Solana game set in a vibrant fantasy world. Players explore, battle, and collect creatures called Tokane, which can be used in various in-game activities.

Why It’s Popular 

Its rich lore and engaging gameplay mechanics, combined with the ability to own and trade Tokane NFTs, make it a standout title. The game’s cutesy visuals and intricate storyline captivate players and keep them coming back for more.

Key Features

  • Exploration and Combat: Traverse a beautifully designed world and engage in strategic battles.
  • Tokane Collection and Trading: Collect and trade various Tokane creatures, each with unique abilities and attributes.
  • Story-Driven Quests and Adventures: Immerse yourself in a deep and engaging narrative.

Credit: Tesfu Assefa

6. Hamster Kombat

Overview 

Following in the footsteps of ‘TapFi’ game Notcoin, Hamster Kombat has recently emerged on the surging Telegram platform, reportedly attracting a massive 250 million user base since its mid-2024 debut. This innovative game blends elements of cryptocurrency management with casual gameplay, allowing users to take on the role of hamster executives running virtual crypto exchanges.

Why It’s Popular 

The game’s core mechanic revolves around a tap-to-earn system, where players can accumulate in-game currency through simple screen interactions and task completion. By leveraging Telegram’s mini-app capabilities, Hamster Kombat offers an accessible gaming experience directly within the messaging app. The developers behind Hamster Kombat will  airdrop a large portion of its coin supply to its players based on their points. 

Key Features

  • Integration with The Open Network (TON) enables secure digital transactions. 
  • Players will be able to transform their in-game achievements into actual cryptocurrency tokens during a planned token distribution event.

7. Parallel

Overview

Parallel is a sci-fi card game where players collect, trade, and battle with NFT cards. The game’s lore and strategic depth make it a favorite among card game enthusiasts.

Why It’s Popular 

The intricate card mechanics, and the ability to own and trade cards as NFTs, appeal to both casual and competitive players. The game’s deep strategic elements and immersive storyline keep players engaged.

Key Features

  • Collectible Card Battles: Build and customize your deck to compete against others.
  • Deep Strategic Gameplay: Utilize a wide range of strategies to outsmart your opponents.
  • Rich Sci-Fi Lore: Immerse yourself in a detailed and captivating sci-fi universe.

8. Hytopia

Overview 

Hytopia is a Minecraft-type game where players can build, explore, and interact with others. The game uses blockchain technology to allow for true ownership of in-game assets.

Why It’s Popular 

Its expansive world and creative freedom attract players who enjoy sandbox games and the added value of NFT ownership. The game’s robust creation tools and active community foster a collaborative environment.

Key Features

  • Open-World Exploration: Discover and explore a vast, dynamic world.
  • Building and Crafting: Create and customize your own structures and items.
  • NFT-Based Assets and Items: Own and trade unique assets on the blockchain.

9. Legends of Elumia

Overview

Legends of Elumia is a fantasy MMORPG with high-end graphics. It features epic quests, PvP battles, and a player-driven economy. The game’s integration of blockchain technology allows players to own and trade in-game items.

Why It’s Popular 

The game’s rich world and extensive gameplay, combined with blockchain integration, provide a deep and engaging experience. The ability to own and trade items as NFTs adds a layer of depth to the gameplay.

Key Features

  • MMORPG Gameplay: Embark on epic quests and engage in intense PvP battles.
  • Experience thrilling adventures and compete against other players.
  • Player-Driven Economy with NFT Items: Own and trade unique items within the game’s economy.

10. Axie Homeland

Overview 

Axie Homeland is a continuation of the popular Axie Infinity franchise, focusing on building and managing a homeland for cute little critters called Axies. The game incorporates NFT-based land and Axie ownership.

Why It’s Popular 

The established fanbase of Axie Infinity and the new features in Axie Homeland make it a must-try for fans and newcomers alike. The game’s focus on community and collaboration enhances its appeal.

Key Features

  • Land Management and Building: Develop and manage your own Axie homeland.
  • Axie Breeding and Battling: Breed and battle Axies to earn rewards.
  • NFT-Based Assets and Land: Own and trade land and Axies on the blockchain.

The games covered here really showcase the diverse and innovative landscape of crypto gaming in Q3 2024. Whether you’re interested in strategic MMOs, relaxing farming sims, or intense FPS action, there’s something for everyone in blockchain gaming​. With a prediction of an industry size totaling $614 billion by 2030, it’s a smart move to keep playing. 

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Bitcoin Boundaries

Posted on by SB Fisher

In the 2017 alt-currency wave and 2020s’ DeFi summer blockchains were built to be much faster and smarter than Bitcoin, the original blockchain, and with on-chain capacity for much more diverse financial and social primitives (identity, art, savings, loans, and more). The transaction speeds of these currencies far outstripped their by-now plodding ancestor. Yet the antiquated Bitcoin technology is king among blockchains. Coins that work better than Bitcoin have been around almost as long as Bitcoin itself – yet Bitcoin still has more financial value than the rest of the industry combined.

Still the King

Ultimately, it’s all about trust. This is the people’s money we’re talking about. The value of a decentralized ledger or blockchain is fundamentally underwritten by the fact that people know it works. Bitcoin has performed exactly as outlined in the whitepaper ever since its inception, supported by a vast chorus of computers all over the world. It hasn’t double-spent, it hasn’t failed a transaction, and its network of miners is now so vast that its security is immutable. Humanity has achieved a peer-to-peer electronic cash network with no centralized oversight. An achievement so intoxicating that our race to consecrate and order other digital interactions using the blockchain has led to a sector worth over $2 trillion. A brand new asset class that, with the dawn of Bitcoin ETFs, is now traded by pension funds all over the world. The new utilities that distributed ledgers provide have proven they can change the world.

The altcoin market has its problems: slow technical development, overindulgence in capital raises, and vulture-like VC activity, alongside outright criminal fraud. This has led to slower progress than some expected. Blockchain has gotten traction in certain use-cases: supply chain tracking, sending remittances, controlling access to fandom communities and more. But crypto’s mainstream deployment in everyday sysadmin still feels distant. One reason is Bitcoin’s grip on investors’ capital. Along with perhaps Ethereum, Bitcoin is the only trusted mainstream, and broadly stable, asset the market has yet produced. Hedge funds, neobanks, and long-term HODLers keep their capital frozen in the assets at the summit of the market, stopping that liquidity from irrigating the thousand flowers in the valley below. 

Building Better Bitcoin

So the question arises. Rather than look to new networks to establish new utility for crypto, can’t we use the one we’ve already got? Maybe we can polish the pistons of the Bitcoin core code and use that trust as the foundation on which new utility can run. Can we employ cryptographic lessons we have learned to make it run faster? Now everyone agrees it’s awesome, can we make it harder, better, faster and stronger? 

It’s not a new thought. Bitcoin Cash was the first major attempt to upgrade Bitcoin. Yet it did it through a fork, not a rewrite – and when it comes to money, people like what they already know. Although Bitcoin Cash does have market cap, it’s ultimately a footnote in the Bitcoin network’s broader history. For new utility to exist on Bitcoin, to upgrade Bitcoin – technologies need to be built that work using the main Bitcoin consensus itself. Attempts have been legion. However it is recently that there is a sense that the Bitcoin developer community is getting somewhere useful. 

Utility projects have seen the best progress in recent years. Ordinals are a way to uniquely identify and order satoshis, and inscriptions allow users to attach arbitrary data on the resultant tokens. BRC-20 tokens, inspired by Ethereum’s ERC-20, leverage these by inscribing metadata onto uniquely numbered individual satoshis, delineating them as special tokens – which can then be used for utilities like stablecoins, NFTs, and access-control. This process runs entirely on the Bitcoin blockchain, and that’s good for trustworthiness, but it does clog up the network with data on an already constrained blocksize – leading many to question the practicality of such efforts, not to mention the need for wallets and infrastructure to engage with these specialized tokens. 

Credit: Tesfu Assefa

Utility and Scale

Following on from BRC-20, Runes were deployed to much fanfare. By using UTXOs to mark individual satoshis, Runes drastically reduced the congestion overhead for Bitcoin, while also making it far simpler for users to mint their own runic satoshis. Despite an initial surge in activity as a result of Runes, the promise of ‘DeFi on Bitcoin’ quickly tapered off in the face of how cumbersome they are to trade, and the fact that the market efficiency of trading runic satoshis still operated on a direct barter system rather than decentralized liquidity pools – something anathema to a crypto market used to trading on Ethereum. Recent attention has fallen on ‘Fractal Bitcoin’ as an antidote to this, but the tech is in its infancy.

What about scaling the network? The Lightning Network is the stalwart of the space, creating off-chain payment channels between users, reducing load and facilitating micropayments. For all its scaling potential, it suffers from having a third party settlement layer, so that as Bitcoin scaling grows so do settlement fees on Lightning. 

Then there are parallel blockchains, sidechains, and layer-2s like Liquid Network, Rootstock, and the Spiderchain. All of these peg to Bitcoin, and all offer the potential for smart contracts and additional utility – but they all suffer from the same old issue of consensus. You may use Bitcoin as authority for the transaction you validate, but what if your validators go rogue? Ultimately, if the scaling used doesn’t use the main Bitcoin consensus network and core code – then you’re just another altchain. Bitcoin, it seems, may never solve the trilemma, and may never grow wings to become an all-purpose blockchain.

Mastering the Old Ways

And maybe that’s okay. Maybe those liquidity glaciers never need to melt. Maybe sometimes the old ways are best. Save the utility for the new kids. The purpose-built speedsters use the latest tech, rather than trying to stick a brand new V12 engine in a forty year old car – it’s just not built for it. The Bitcoin tortoise has led the race for 15 years – perhaps we should just let it do what it’s good at.

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