Dan Park
Over 100 subscribers
Hey folks! Welcome to the Facta non verba. newsletter. I'm thrilled to announce the first edition of my newsletter today! While I can't promise a set schedule, my aim is to deliver at least two editions per month, keeping you updated on the market and sharing my personal insights. Additionally, I plan to share some original writing that doesn't quite fit the newsletter mold.
It took me a while to find the perfect platform for sharing my thoughts, especially since I plan to do this for as long as possible (fingers crossed my schedule permits). After weighing the pros and cons of traditional services like Substack and up-and-coming platforms like Beehiiv and Ghost, I finally settled on Paragraph.xyz. Here's why I believe Paragraph.xyz is the right choice for me, broken down into three key factors:
Web3 features like wallet-based subscriptions and token-gated views are right up my alley, considering my involvement in the crypto & blockchain industry. This should help me connect with potential subscribers who share the same interests right from the get-go.
The Paragraph.xyz team strikes a great balance between a sleek Web2 user interface and the robust engagement potential offered by Web3. While there have been some notable failures in the "Web3 blogging platform" arena (RIP Steemit), I believe this time could be different.
Choosing a smaller platform like Paragraph.xyz allows me to stand out in the saturated world of content creation (does that sound a tad hippie?). Sure, it might be a bit of a wild bet, but if my "Web3 blogging will succeed at last" thesis holds true, I stand to reap the rewards of my gamble.
In case you weren't aware, I also run a public Telegram channel named "Facta non verba." where I share my daily memos. This helps me keep track of my insights and connect the dots more effectively. If you haven't joined already, feel free to hop on board.
Alright, without further ado, let's dive in!
I go to school these days. As an architectural engineering major deeply into other stuffs (which some of you already know), I might not be the most active student in most of my classes, but there's one lecture I genuinely enjoy. It's the one that elaborates how the development of vertical software is interconnected.
During the first hour, we delved into the history of CAD. It's fascinating to learn that CAD was invented back in the 1960s, long before the age of the mouse, and it took quite some time for it to evolve into a practical product. ArchiCAD emerged from a Hungarian team, while Autodesk introduced its CAD in the late 80s and 90s alongside the commercialization of Mac and Windows. The turning point came with the advent of personal computers.
Surprisingly, the AEC industry has also adapted to the mobile era, which was dominated by the iPhone. Companies like Procore led the way with mobile apps for project scheduling and management. Admittedly, they were a bit clunky on mobile and better suited for tablets. (I remember using a Sketchup-like tool on my iPad during my freshman year, but the entire experience wasn't that great to be honest.)
The point is, even an industry as slow and conservative as AEC can't help but respond to major shifts. But does that always mean a change in leadership? Not necessarily. Despite asynchronous workflows and a quirky UI, I always thought we'd witness the rise of a Figma for AEC or a cloud-based BIM upstart. However, Autodesk remains king.
Anyway, what's convinced me that the AI wave is the real deal is the growing opportunity I've noticed even within the AEC industry (= which is v conservative).
Sam Altman: OpenAI CEO on GPT-4, ChatGPT, and the Future of AI | Lex Fridman Podcast #367
The hottest man on the planet speaking. Let's skip the comments that are easy to find elsewhere and dive right into the highlights that truly stood out (at least for me).
Sam's thoughts on the societal changes driven by AGI and the necessity of UBI (1:39:25)
Lex Fridman: You have been a proponent of UBI, Universal Basic Income. In the context of AI, can you describe your philosophy there of our human future with UBI? Why you like it? What are some limitations?
And his holistic approach to addressing the myriad of events unfolding in the present day (2:20:34)
Lex: What do you think is the meaning of this whole thing? That's a question you could ask an AGI. What's the meaning of life? As far as you look at it? You're part of a small group of people that are creating something truly special. Something that feels like, almost feels like humanity was always moving towards.
Sam: Yeah, that's what I was gonna say is I don't think it's a small group of people. I think this is, like, the product of the culmination of whatever you want to call it, an amazing amount of human effort. And if you think about everything that had to come together for this to happen. When those people discovered the transistor in the 40's, like, is this what they were planning on? All of the work, the hundreds of thousands, millions of people, whatever it's been, that it took to go from that one first transistor to packing the numbers we do into a chip and figuring out how to wire them all up together and everything else that goes into this. You know, the energy required, the science, like, just every step. Like, this is the output of, like, all of us. And I think that's pretty cool.
The Contradictions of Sam Altman, AI Crusader
The CEO behind ChatGPT navigates the line between developing artificial intelligence on the cutting edge and pushing technology to dystopia
A good article on Sam Altman's role in transforming OpenAI from a nonprofit to a multibillion-dollar company. The article elaborates the controversies and criticism surrounding OpenAI's commercialization and partnership with Microsoft.
And one important point to think about: why did they brought ChatGPT now? Maybe,
1) they were determined that they were leading the game,
2) they predicted that the GenAI-based product will spread out very fast, and
3) owning that workflow by spreading out (unfinished) product would provide them a huge moat.
Now it is clear that they're leading the game, and the AI safety is largely up to them. Sam probably wanted to create a circumstance like this.
In its founding charter, OpenAI pledged to abandon its research efforts if another project came close to building AGI before it did. The goal, the company said, was to avoid a race toward building dangerous AI systems fueled by competition and instead prioritize the safety of humanity.
And he also thought of launching a cryptocurrency for ChatGPT:
That year, Mr. Altman said he looked into options to raise more money for OpenAI, such as securing federal funding and launching a new cryptocurrency. “No one wanted to fund this in any way,” he said. “It was a really hard time.”
Sam Altman - How to Succeed with a Startup
2:00~3:30 is my favorite part that I revisit at least twice a year. Here's the entire transcript:
A really important thing to figure this out is learning how to differentiate between real trends and fake trends. A real trend is something that's actually going to happen in the fake trend is not or at least not yet. And before you make a big bet on a new platform, you want to make sure it's real. Now there's an easy trick for this which I'll share now.
Real trends are ones where a new technology platform comes along and the early adopters use it obsessively and tell the friends how much they love it. A fake trend is one where people may buy the product but don't use it or at least not enough.
So an example of a real trend (I already mentioned the iPhone I'll mention that again) when the iPhone first came out many people were dismissive because they only sold a million or two million that year, and they said well this just doesn't matter. But for the people that had an iPhone they used it for hours every day, it became central to their lives, they loved it they told their friends you've got to get one. And I think it was obvious then do people pay an attention that something had fundamentally shifted and we had a new computing platform that was gonna spawn huge businesses, and it was a good time to bet on mobile apps.
A fake trend or at least a fake trend as of August 2018, I would say as VR. I do believe VR will be big someday, but today most people that I know that own a VR headset use it never or very rarely. And so although a lot of people talk about it and maybe even a lot of people buy them there's not the intense usage per user among the early adopters that I think you want to see, before you make a big bet.
If I apply ChatGPT as an alternative for iPhone... it looks quite same. He's out there building the exact same thing he has mentioned.
Read his book <The Road Ahead> for the last weekend. A bold declaration towards the 'information superhighway,' and the relentless efforts he had shown to seize the once-in-a-lifetime opportunity, were really thought-provoking.
The Age of AI has begun
In my lifetime, I've seen two demonstrations of technology that struck me as revolutionary. The first time was in 1980, when I was introduced to a graphical user interface-the forerunner of every modern operating system, including Windows.
And then I re-read his recent article on AI. For this time, I went for the entire article without ChatGPT support. Think we should listen carefully to rare figures like him. Here's some of the lines I've highlited:
I knew I had just seen the most important advance in technology since the graphical user interface.
This inspired me to think about all the things that AI can achieve in the next five to 10 years.
The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone. It will change the way people work, learn, travel, get health care, and communicate with each other. Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it.
I knew I had just seen the most important advance in technology since the graphical user interface.
The biggest evolution throughout software history has always been better technology improving user experience. Nobody hardly wants to enter hard and complicated interfaces.
And if you've got a minute, I'd suggest taking a look at this short video as well.
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model developed by OpenAI, GPT-4, was trained using an unprecedented scale of compute and data.
Wow. Microsoft Research mentioned this: "We believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system."
GPT-4 part of new cohort of LLMs with more general intelligence; excels in various domains without special prompting.
GPT-4 could be seen as early, incomplete version of AGI.
Possible need for new paradigm beyond next-word prediction.
GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
We investigate the potential implications of large language models (LLMs), such as Generative Pre-trained Transformers (GPTs), on the U.S. labor market, focusing on the increased capabilities arising from LLM-powered software compared to LLMs on their own. Using a new rubric, we assess occupations based on their alignment with LLM capabilities, integrating both human expertise and GPT-4 classifications.
Investigating implications of GPT models on the U.S. labor market; new rubric to assess occupations based on GPT capabilities.
80% of workforce may have at least 10% of tasks affected by GPTs and 19% of workers may see at least 50% of tasks impacted.
Influence spans all wage levels, higher-income jobs may face greater exposure; impact not limited to industries with higher recent productivity growth.
For those who don't have much time to read — recommend this thread by Jim Fan:
BloombergGPT: A Large Language Model for Finance
The use of NLP in the realm of financial technology is broad and complex, with applications ranging from sentiment analysis and named entity recognition to question answering. Large Language Models (LLMs) have been shown to be effective on a variety of tasks; however, no LLM specialized for the financial domain has been reported in literature.
BloombergGPT is a 50B-parameter model specialized in the financial domain. It's trained on a vast dataset of 363B tokens from Bloomberg and 345B tokens from general-purpose datasets.
This model outperforms existing models on financial tasks without compromising general LLM benchmark performance. Future plans include releasing detailed training logs.
The AI Index is an independent initiative at the Stanford Institute for Human-Centered Artificial Intelligence (HAI), led by the AI Index Steering Committee, an interdisciplinary group of experts from across academia and industry. The annual report tracks, collates, distills, and visualizes data relating to artificial intelligence, enabling decision-makers to take meaningful action to advance AI responsibly and ethically with humans in mind.
Didn't have much time to go over either, so I'd recommend the thread below for better understanding:
And some of the graphics that caught my eye:
One thing I notice these days: people tend to rely on comfort until things become really serious. Even I don't care what & how OpenAI specify and track my data and the possibility of potential use as for-profit ways. — ChatGPT is a data privacy nightmare. If you’ve ever posted online, you ought to be concerned
Adobe made an AI image generator — and says it didn’t steal artists’ work to do it
If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. Adobe is finally launching its own AI image generator. The company is announcing a "family of creative generative AI models" today called Adobe Firefly and releasing the first two tools that take advantage of them.
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Indeed, finding the proper way to compensate the people who helped training the specific data model will be a v important problem for upcoming decades. Adobe clearly shows how each domain will serve the data providers.
Adobe says their AI models are trained on content that is either out of copyright, licensed, or from the Adobe Stock library and intends to pay artists who contribute training data, with a compensation strategy currently under development.
To make its AI tools more user-friendly, Adobe includes built-in options for art styles, lighting, and aspect ratio. A future Photoshop feature will allow artists to train the system on their own work to generate content in their personal style, though potential abuse of this feature is a concern.
Copy-protection tech would grow way much bigger along with the compensation strategy. Adobe is working on a "Do Not Train" system that enables artists to block AI from training on their work and is in conversation with other model creators to collaborate on this standard.
We all know about what's going on right now; and the letter below addresses a much larger issue than just copyright:
AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research[1] and acknowledged by top AI labs.[2] As stated in the widely-endorsed Asilomar AI Principles, Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources.
And I could see some quite differentiated opinion compared to it. Yann LeCun says:
There are a lot of issues with making AI systems controllable, and making them factual, if they’re supposed to provide information, etc., and making them non-toxic. There is a bit of a lack of imagination in the sense of, it’s not like future AI systems will be designed on the same blueprint as current auto-regressive LLMs like ChatGPT and GPT-4 or other systems before them like Galactica or Bard or whatever. I think there’s going to be new ideas that are gonna make those systems much more controllable. — from Titans of AI industry Andrew Ng and Yann LeCun oppose call for pause on powerful AI systems
... and Albert Wenger is also against it:
"We should still think about other regulation to address structural risks but much of what has been proposed here doesn’t make a ton of sense. For example, publishing an algorithm isn’t that helpful if you don’t also publish all the data running through it. In the case of a neural network alternatively you could require publishing the network structure and weights but that would be tantamount to open sourcing the entire model as now anyone could replicate it. So for now I believe the focus of regulation should be avoiding a situation where there are just a few huge models that have a ton of market power." — from Thinking About AI: Part 2 - Structural Risks
"Bottom line then for me is that “loss of reality” is an existential threat, but one that we have already been facing and where further AI advancement will both help and hurt. So I am not losing any sleep over it. There is, however, an overlap with a second type of existential risk, which is a super intelligence simply wiping out humanity. The overlap is that the AI could be using the loss of reality to accomplish its goals." — from Thinking About AI: Part 3 - Existential Risk (Loss of Reality)
Sandhini Agarwal, Ilge Akkaya, Valerie Balcom, Mo Bavarian, Gabriel Bernadett-Shapiro, Greg Brockman, Miles Brundage, Jeff Chan, Fotis Chantzis, Noah Deutsch, Brydon Eastman, Atty Eleti, Niko Felix, Simón Posada Fishman, Isa Fulford, Christian Gibson, Joshua Gross, Mike Heaton, Jacob Hilton, Xin Hu, Shawn Jain, Joy Jiao, Haozhun Jin, Logan Kilpatrick, Christina
This was to be honest, mind-blowing. Packy well elaborates what this 'Plug-in play' for means for OpenAI in his recent article "Attention is All You Need."
OpenAI has even expanded its sales operations, hiring experienced sales leaders and providing technical support to customers. And the important thing is that the customers (=Plug-in partners), are willing to pay because the product deserves it. The rapid and robust construction of their ecosystems (with steep revenue growth — that is even fully under OpenAI's control) is truly remarkable.
If you wonder what it means for Microsoft, I recommend you reading "The Accidental Consumer Tech Company; ChatGPT, Meta, and Product-Market Fit; Aggregation and APIs" by Ben Thompson. The deal may not have been as favorable to Microsoft as you think.
On the flip side, I think that ChatGPT + plugins means that Bing might not make the ultimate market share progress that Microsoft hopes: while OpenAI withdrew the web plugin at some point over the weekend, I’m sure it’s coming back, and the reality is that in the consumer space ChatGPT already has the mindshare and, in my estimation, the better user experience.
Of course we have seen clearly compatible companies fight on each other’s turf to their collective detriment (e.g. Apple and Google), but the fact that Microsoft and OpenAI are joined at the hip will perhaps make their coopetition tilt more towards the “cooperate” part than the “competition” part. That’s for them to decide, though; it’s customers who are the big winners, which is always the origin story of a new Aggregator.
Meta AI Computer Vision Research
Meta plans to commercialize its generative AI by December, targeting improved advertising effectiveness and integration into its products and services, including the metaverse. More can be found on: "Meta to debut ad-creating generative AI this year, CTO says."
And FAIR recently announced Segment Anything. Yann LeCun had a reason for being so confident these days.
Introducing Segment Anything: Working toward the first foundation model for image segmentation
Segmentation - identifying which image pixels belong to an object - is a core task in computer vision and is used in a broad array of applications, from analyzing scientific imagery to editing photos. But creating an accurate segmentation model for specific tasks typically requires highly specialized work by technical experts with access to AI training infrastructure and large volumes of carefully annotated in-domain data.
The Segment Anything introduces SAM, a flexible image segmentation model that can adapt to different tasks without extra training. It simplifies the segmentation process and reduces the need for specialized expertise.
The project also presents the largest-ever segmentation dataset, SA-1B, which can help improve future models. SAM has potential applications in AI research, AR/VR, content creation, and scientific study, making it a significant advancement in computer vision.
And Jim Fan's takeaway: "Reading Meta's Segment-Anything, and I believe today is one of the "GPT-3 moments" in computer vision."
And TTV(Text-to-Video) is coming to life. VTV(Video-to-Video) already live at runwayml.com.
But the pricing plan's not so generous for (almost) all of us. More to go on the video generation side.
Runway AI Film Festival
Introducing the first annual AI Film Festival - powered by Runway. A celebration of the art and artists making the impossible at the forefront of AI filmmaking. Of this year's hundreds of submissions, just ten finalists were named by our panel of jurors. View all ten films below.
For a deeper understanding of how things truly function in real, recommend viewing some of the winning films.
To be honest, I don't think AI is causing any major shifts at the moment. Sure, consumer-facing businesses have changed a lot since the introduction of GUI, as Bill Gates pointed out. But it's the behind-the-scenes workflows that have seen the most significant impact. Right now, we're just seeing cool new interfaces and some of end-user experiences. The real game-changer for the entire workplace is still on the horizon.
For B2B Generative AI Apps, Is Less More?
We've watched large language models (LLMs) become mainstream over the past few years and have studied the implementations in the context of B2B applications. Despite some enormous technological advances and the presence of LLMs in the general zeitgeist, we believe we're still only in the first wave of generative AI applications for B2B use cases.
Similar approach from a16z's recent article. Wave 2 of GenAI (= SynthAI) focuses on synthesizing and converging information to improve decision-making in B2B apps. It aims to enhance the quality and speed of decision-making by summarizing vast amounts of information that humans cannot process themselves.
SynthAI's real value lies in helping humans make better decisions faster and rethinking the UX to convey information efficiently. Examples of SynthAI applications include AI-powered knowledge bases and identifying target accounts at their highest intent level.
To ensure high-quality synthesis, there will be a shift from large-scale, generic models to architectures that leverage multiple models, including fine-tuned models for domain-specific datasets. This enables the creation of moats in the delivery of speed and quality.
Wave 2 will benefit most from SynthAI when there is a high volume of information and a high signal-to-noise ratio.
The battle between existing systems and new AI-native solutions is centered on owning the workflow. Existing solutions aim to improve their workflows with AI, while challengers use best-in-class AI implementations as a wedge to redefine the workflow.
“In the future, we think there’s an opportunity to allow the user to ask follow-up questions if they want to dig further into a theme. At the end of the day, it’s about delivering the end-to-end workflow — from gathering data quickly to understanding it quickly — to help make decisions in real time.” — by Ryan Glasgow, Sprig Founder & CEO
And might be kinda off topic but have a gut feeling that there will be a lot of uncertainty surrounding the usage of LLM-based services especially in large corps. Recently met some friends working in conglomerates said that ChatGPT and similar tools are blocked by their internal firewalls. Think LLMs will become more verticalized, with a much higher security bar set for B2B sales (and well every big company are likely to have their own models).
I love John Luttig's writings. His latest writing put AI and crypto to the table with 4 different aspects. And even I'm more into crypto, I could hardly disagree with his viewpoints. Think his words hint the pitfalls of crypto and how the industry should evolve in a longer-perspective.
Is AI the new crypto?
The nuclear winter techpocalypse arrived: software, SPACs, fintech, and crypto all entered a deep freeze. AI may be the only sector wearing a parka. Just a year ago, crypto had comparable froth. Can AI avoid crypto's bubble-bursting fate?
1. Capital: Crypto faced capital challenges due to a mismatch between capital inflows and progress, as well as VC short-termism, leading to inflated valuations and misaligned incentives. In contrast, AI is less likely to experience these challenges, as generalist VC firms will maintain a balanced approach and focus on specific applications.
2. Mission: Crypto's founding mission was anarcho-capitalist, aiming to disrupt financial institutions, but it became less clear as centralization increased. AI, however, lacks a clear founding mission and should aim for neutrality at the infrastructure level, with applications defining their specific missions.
3. People: Crypto initially attracted libertarians and anarchists but later drew in grifters, leading to a hype-driven culture and a market bubble. AI's talent evolution arc is purer, with a research-focused culture that prioritizes genuine technologists while navigating regulatory risks and political controversies.
4. Value creation: Crypto's value creation is unclear and still in the infrastructure phase, with stalled adoption in many commercial dimensions. AI demonstrates clear value creation through various applications and is expected to capture value through infrastructure oligopolies and widespread application proliferation.
Indeed, people want their life to become easier, not harder. Simple and easy. Same for blockchain if we really believe in & want mass adoption. In my view, crypto is not as big because it is oriented to the tech itself, not the fundamental shift of user experience. Reminds me of SISP: Solution In Search of a Problem.
But remember, mobile apps fundamentally have changed nearly almost everything on the internet: from finance, payments, contents, social, commerce, productivity, and whatnots.
The important thing is, whether the orientation of crypto industry as a whole goes well with the NBT. As always, the biggest portion of the value accrue will come from the consumer-facing layer. I don't think crypto and AI is not just like oil and water. They will go well together. Crypto can be a layer sitting atop AI, working as the next layer of finance, payments, contents, and whatnots.
And my short thoughts on the 'investible' and 'x-to-earn' aspect of crypto; think it could and should be a part of it, but if it goes beyond the main agenda of the industry as a whole, something might be broken.
The mass always wants to PAY money for something that benefits them a lot, and only a small number of ppl actually want to EARN money. And this 'earning' part should accompany a set of skills or hardship that somehow benefits other participants, and incentives for those activities must be considered v carefully, because the incentive is always comparative.
Targeting Crypto-natives v. Normies — a Thread
I admit that the approach of targeting crypto users vs. internet users is valid because one-time crypto users are highly likely to participate more than once due to the high barrier and stickiness, which makes it an irreversible experience as internet showed. But I don't think this experience (of buying crypto and playing around with them) converts to a powerful daily engagement.
Only a small portion of crypto projects, which are the 'crypto-native projects', can achieve daily-level engagements with less than 1 million users. I am not trying to say that these projects are meaningless, but the order of magnitude is still small compared to what crypto can achieve.
Recent article from Sam Altman's 'real' crypto project. Now 1.4M+ registrations made, and think Worldcoin can be one of the biggest cryptocurrency prj ever if successful.
Humanness in the Age of AI
Access to increasingly powerful models is becoming available to individuals in ways that are impossible to control. The Stable Diffusion image generation model and software to generate deep fakes are open source, and Meta's LLaMA language model has been leaked and can be run on a laptop.
In the age of advanced AI, proving humanness online has become increasingly difficult. Worldcoin's World ID protocol addresses this challenge through biometric-based proof of personhood (PoP), using a custom, open-source hardware device to validate liveness and uniqueness without storing image data. The project aims to create a secure and private foundation for digital identity, focusing on the first two layers of a three-layer system: PoP and digital authentication.
Proof of personhood is essential for mitigating AI-related challenges, such as sybil attacks and the spread of AI-generated content. A global PoP network can enable wealth redistribution through UBI, advanced spam filters, reputation systems, inclusive democratic governance models, strengthened authentication, and equitable distribution of scarce resources.
Key considerations for building PoP on a global scale include privacy, self-sovereignty, fraud resistance, inclusivity, scalability, decentralization, and continuity. Among potential PoP mechanisms, biometrics, specifically iris recognition, emerges as the most promising method. However, improvements in hardware and technology are required for secure and inclusive global implementation.
A good overview on how sufficient decentralization works for them — A Primer on Decentralization at Worldcoin
Planning for AGI and beyond
It is quite well aligned with mission statement of OpenAI. I feel OpenAI & Worldcoin could have a relationship somewhat similar to that of SpaceX & Tesla. Different entities under same umbrella.
Thanks to Brian Chesky, Paul Christiano, Jack Clark, Holden Karnofsky, Tasha McCauley, Nate Soares, Kevin Scott, Brad Smith, Helen Toner, Allan Dafoe, and the OpenAI team for reviewing drafts of this.
OpenAI emphasizes the importance of gradually transitioning to a world with AGI, learning from deploying less powerful systems, and developing increasingly aligned and steerable models.
The short-term goals include 1) gaining experience in operating AI systems, 2) creating more aligned models, and 3) initiating a global conversation on governance, fair distribution of benefits, and fair access to AI systems (which would be possibly deeply connected with Worldcoin imo).
In the long term, the future of humanity should be determined by humanity itself, with public consultation for major decisions. The first AGI will be a point along the continuum of intelligence, and progress will likely continue, potentially leading to a vastly different world with extraordinary risks.
Dune’s LLM Roadmap: Transforming the Way You Interact with Data
Eventually, it seemed like the data layer would be the first to adopt LLM, but Dune got there first. Recent Dune’s LLM Roadmap aims to revolutionize data interaction in the crypto data space by introducing a suite of AI-powered features. Their ultimate goal may finally be achievable by LLM. Rather than building a strong moat, it was more of a strategy to stay on top by moving one step ahead of everyone else. It's like being the first to launch an app in the mobile era.
The first feature, Query Explanations, demystifies complex SQL queries, making them more accessible. Upcoming features include: Query Translations to facilitate the transition to Dune SQL, NL Querying for seamless data analysis, Improved search functionality for finding relevant information, and Wizard Knowledge Base chatbot to help users navigate and contribute to existing resources.
These advancements underscore Dune's commitment to making crypto data more accessible and user-friendly for their community of Dune Wizards.
Swalo - The NL Chat-based Transaction Administrator
Swalo offers a user-friendly solution to the complexities of decentralized blockchain Dapps with its innovative NL chat-based transaction interface. Enjoy a simpler web3 experience with Swalo. Our platform currently supports the 0x router on Ethereum.
While Swalo.ai's competitive advantage may be limited, it's an excellent demonstration of agility. Ultimately, the struggle revolves around capturing share of user flow. Much like launching a mobile app in the mobile era wasn't a moat but a necessity for survival, one might speculate whether, in a few months, it will become essential for successful products to integrate features (like LLM for enhanced transaction simulators like security assurance and transaction comprehension).
And David Sacks introduced a distinct perspective concerning domain-specific models, which could potentially forge a connection between the realms of crypto and AI.
The Give-to-Get Model for AI Startups
Almost 20 years ago, a startup named Jigsaw pioneered a new crowdsourcing model where users would contribute data to a platform in exchange for access to its services. Jigsaw is largely forgotten today, but its so-called "give-to-get" model could be perfect for AI startups that need to obtain rich proprietary datasets to train their models.
Give-to-get model, pioneered by Jigsaw, could be highly beneficial for AI startups that need rich proprietary datasets to train their models.
By incentivizing professionals in various industries to share their data, AI startups can rapidly train and improve their models to serve those professionals, leading to better performance, valuable insights, and a strong competitive advantage.
Give-to-get model for vertical industry has potential, and we hopefully may witness some decentralized compensation models arising. Adobe's recent compensation strategy (mentioned above) can be acknowledged as an early (but centralized) example for this.
It is very clear that US lagging behind the others in regulatory perspective. It is now evident that France, UK, UAE, HK, SG, Australia, and Japan are rapidly recognizing the opportunities in crypto and creating a supportive environment whereas US is stuck with regulation by enforcement. — See "Europe is winning. Will the US catch up?" for details.
Exercise Caution with Crypto Asset Securities: Investor Alert
SEC recently posted an alert. So adversarial.
The SEC’s Office of Investor Education and Advocacy continues to urge investors to be cautious if considering an investment involving crypto asset securities. Investments in crypto asset securities can be exceptionally volatile and speculative, and the platforms where investors buy, sell, borrow, or lend these securities may lack important protections for investors.
The risk of loss for individual investors who participate in transactions involving crypto assets, including crypto asset securities, remains significant. The only money you should put at risk with any speculative investment is money you can afford to lose entirely.
To understand deeply on this agenda, highly recommend the Paradigm Policy's SEC's Path to Registration series. They have now released Part 2 out of the four-part series.
Part I. Due to SEC Inaction, Registration is Not a Viable Path for Crypto Projects
March 23, 2023 | Rodrigo Seira, Justin Slaughter, Katie Biber Getting a startup off the ground involves preparing and filing a lot of documents and forms, most of which are relatively easy and straightforward. For example, a founder will have to file a certificate of incorporation with the Secretary of State's office in order to form a new corporation.
The SEC's inaction has made registration an unviable path for crypto projects. Gary Gensler has implied that registering tokens with the SEC is simple, but the reality is far more complex. The current registration forms are inadequate for addressing crypto's unique aspects, and the SEC has failed to provide a workable regulatory framework for security tokens.
e.g. Companies like Coinbase have struggled with the lack of clarity in the registration process. The SEC's "just come and register" stance makes no sense.
Part II. Lessons from Crypto Projects’ Failed Attempts to Register with the SEC
See Part I here. The grand bargain of the US securities laws is that any issuer selling securities to the general public must provide the public with a set of disclosures approved by the SEC. These laws are intended to address information asymmetry and ensure that the investing public has the material information necessary to make informed investment decisions.
The SEC registration process for has proven to be ineffective due to various factors, leading to many projects failing or facing disadvantages in the market. The current regulatory framework lacks clear and workable rules for digital asset securities, resulting in limited infrastructure for trading registered tokens and high costs with compliance.
This is primarily due to the SEC's reluctance to provide a workable framework through rulemaking, exemptive relief, guidance, and industry engagement. Instead, the SEC has opted for a regulation by enforcement approach, which has created a challenging environment.
Yes, there was Reg A offerings, but companies that attempted Reg A token offerings, such as Hiro Systems PBC, YouNow, and Ceres Coin LLC, faced numerous challenges as well. These cases ultimately revealed the limitations of Reg A as a viable pathway for compliant token offerings.
* Regulation A (Reg A) offered a "slimmed-down" alternative to traditional IPOs for small companies. However, it did not turn out to be a viable option due to high costs, trading restrictions, and burdensome disclosure obligations.
White House blasts digital assets in new report, sees little value in crypto
A new White House crypto policy report blasts digital assets as risky for both consumers and the entire U.S. financial system.
In the meantime, White House released report criticizing digital assets and their purported benefits. The White House's stance on digital assets may be shifting from agnostic to openly adversarial as well.
TL;DR:
Report argues that crypto assets have not delivered on promises of better payment mechanisms, financial inclusion, or cutting out middlemen.
The report questions the role of regulation in protecting consumers and the financial system from crypto-related risks.
The report also doubts the potential of a CBDC but acknowledges possible benefits of DLT in the future. Document critiques stablecoins, calling them "too risky" for broad payments purposes.
The White House has a negative view of DLT and PoW.
Report highlights the risks associated with DeFi applications.
The administration's majority opinion on digital assets remains uncertain.
We asked the SEC for reasonable crypto rules for Americans. We got legal threats instead.
SEC issued a Wells notice to Coinbase (regarding listed digital assets, staking service, Coinbase Earn, Coinbase Prime, and Coinbase Wallet). It is not a formal charge or lawsuit but can lead to one; Coinbase products and services continue to operate as usual.
Coinbase provided multiple registration proposals to SEC, but received no response. They have met with SEC over 30 times in nine months, with no feedback on their proposals.
In the meantime, Coinbase is going more out of US with their 8-week international expansion plan. Another location to watch out for Coinbase's full-fledged entry. Coinbase integrated Pix for easy account top-up using Brazilian Reals, localized app with 24/7 email support, partnered with Ebanx, and streamlined the user onboarding process as a part of 8-week International sprint. — Introducing Exciting New Updates for our Brazilian Community
Binance argues that the civil complaint by CFTC contains incomplete facts and disagrees with many of the allegations. The company highlights its commitment to compliance & transparency and also stresses its extensive licensing, strict employee trading policies, and its intention to continue collaborating with regulators worldwide. — from CZ’s Response to the CFTC Complaint
7 details in the CFTC lawsuit against Binance you may have missed
The surprise lawsuit from the Commodity Futures Trading Commission against crypto exchange Binance sent shock waves across the markets on March 27. In addition to allegations that Binance manipulated markets and lacked compliance efforts, the regulator has also accused the exchange of not cooperating with investigative subpoenas and obscuring the location of its executive offices.
Tokens labeled as commodities: (The CFTC) labeled BTC, ETH, LTC, USDT, and BUSD as commodities, contrary to SEC's assertions
CZ's phone accessed: gathered evidence from CZ's phone, collecting Signal text chains and group chats
Terrorist activity accusations: accused Binance employees of knowing that its platform had facilitated potentially illegal activities
One man at the top: alleged that CZ controlled dozens of entities operating the Binance platform as a common enterprise, with him personally approving minor expenses
VIP program perks: scrutinized Binance's VIP program, alleging that VIP customers were given prompt notification of any law enforcement inquiry about their account
Ignoring U.S. regulatory requirements: (Binance) was aware of US regulatory requirements but ignoring them and making deliberate decisions to evade federal law
Fines and injunctions: (The CFTC) is seeking monetary penalties, disgorgement of profits, and a permanent injunction against further violations
One thing we always have to check - which comps & orgs will benefit if one competitor faces hardships? Ofc regulations by enforcement on CEXs are all difficult at the moment; Staking service for Kraken, Wells notice for Coinbase, and now Binance...
So I strongly agree that while the lawsuit and regulatory uncertainty in the U.S. present risks for companies operating in the country, jurisdictions like SG, UAE, and some European countries could emerge as the true winners. — from Binance's bad days could be good for Kraken
And for more statistical approach, recommend "CFTC v. Binance: The Data Behind the Suit"
Since the CFTC lawsuit, the exchange has seen $2.2B of crypto flow out, but also $1.3B sent in, resulting in a net outflow of $900M. Experts say there is no real sign of a bank run (as of Mar 29), as Binance holds $64B in on-chain assets, with 50% in stablecoins. — from Analysts say Binance’s $2.2 billion outflows don’t suggest a bank run yet
If you wanna track the live status — Binance Exchange's Health After the CFTC Lawsuit - Comparative analysis
MiCA's impact on the EU crypto industry and beyond
Europe is trying to solidify their lead with crypto regulation while US struggles.
MiCA's impact on the EU crypto industry - harmonization, competitiveness, institutionalization, and market share gains for regulated businesses. For the European Union (EU) crypto industry, the Markets in Crypto-Assets Regulation (MiCA ) represents a true game changer. Until now, crypto companies in the EU had to knock at every single national regulator's door if they wanted to serve the entire EU market.
Below is the TL;DR:
MiCA is a game-changer for the European crypto industry, providing a harmonized regulatory framework across all 27 countries. It will increase competitiveness and market share for regulated businesses, encouraging institutional adoption and potentially attracting global capital, talent, and companies.
However, MiCA's success depends on the practical implementation standards and enforcement practices to be developed by EU supervisory authorities over the next 12-18 months. If MiCA proves to be workable for the industry, consumers, and regulators, it will likely have a global impact similar to GDPR for privacy. This would make it the most comprehensive regulatory framework for crypto-assets seen on a global scale.
It is crucial for industry participants to engage closely with EU supervisors, such as the European Banking Authority and the European Securities and Markets Authority, in the upcoming months to contribute to making MiCA a success.
MAS to publish crypto regulation plans by mid-2023
MAS is now reviewing feedback on proposed crypto regulations. Response is expected by mid-2023.
Name and Constituency of Member of Parliament Date: For Parliament Sitting on 20 March 2023 Mr Desmond Choo, Tampines GRC Question To ask the Prime Minister (a) what is the outcome of the consultation on proposals to reduce risk of consumer harm from cryptocurrency trading and to support the development of stablecoins; and (b) what are the salient insights from the consultation.
MAS once highlighted support for "digital asset innovation", but opposition to cryptocurrency speculation. They are even considering adding frictions to retail access even they see potential in applications like trading, cross-border payment, settlement, and whatnots.
Singapore Plans New Guidance for Banks to Vet Crypto Clients
SG authorities are collaborating with lenders to establish uniform standards for vetting cryptocurrency clients. The central bank and police are providing assistance in fine-tuning the vetting approach for digital asset service providers. This initiative encompasses a range of digital assets, including stablecoins, NFTs, and transferable credits. Despite the standardized framework, banks will maintain their autonomy in deciding client acceptance based on their individual risk appetites.
Developing Web3 — Keeping Upright, Innovating and Moving Forward Steadily
这几天正值复活节假期的长周末，大家也许都安排了不同活动与亲友相聚，或在忙碌的生活中稍稍放松「充电」。新一期的消费券将在下周日发放，加上「开心香港」系列活动启动在即，两箭并发有望为本地零售及餐饮市道带来新的刺激，进一步巩固经济复苏势头。 随着香港社会复常、全面恢复对外联系，我们要乘势而上、齐心合力，为香港经济发展全力开拓新的赛道、打拼出新的优势。 ...
And HK is striving to regain its former majesty. the initiative for HK towards digital economy is quite robust. Despite recent fluctuations in the virtual asset market, the HK government aims to push Web3 forward. Authorities will adopt a strategy that emphasizes both proper regulation and promoting development, ensuring financial security, investor protection, and AML. A licensing system for virtual asset service providers will be introduced in June, and $50M will be allocated to Cyberport to accelerate the development of Hong Kong's Web3 ecosystem.
Chinese Banks Court Crypto Firms in Hong Kong After Mainland Ban
China's state-owned banks are supporting crypto firms in HK, as the city aims to become a major digital asset center with Beijing's backing. This development offers an opportunity for HK banks to capitalize on the growing crypto industry, following recent banking failures in the US.
NFT White Paper: Japan’s NFT Strategy for the Web 3.0 Era
Japan is emerging as a welcoming hub for Web3 projects.
2023年4月6日、自民党デジタル社会推進本部（本部長：平井卓也衆議院議員）のweb3プロジェクトチーム（座長：平将明衆議院議員）による「web3ホワイトペーパー 誰もがデジタル資産を利活用する時代へ」が、部会で了承されました。 多岐にわたる論点と提言の整理にご協力頂いたPTの仲間の皆様、論点整理からドラフトまでプロジェクトを支えてくださったワーキンググループの皆様、多忙の中、様々な質問や要...
Japan's Liberal Democratic Party released a white paper outlining the country's NFT strategy for the Web 3.0 era (Just befor ETHTokyo).
It recommends developing a national strategy focused on NFTs and crypto assets, appointing a Web 3.0 minister, establishing a cross-ministry organization, and creating a "one-stop consultation desk" for private sector consultations.
The paper addresses topics like NFT business development, IP rights protection, user protection, blockchain ecosystem health, and safeguarding social and legal interests.
[ETH] Shanghai Upgrade: The Hot Potato, Beacon Chain Withdrawal
Recommend this article for getting the hang of Shanghai Upgrade:
Disclosure: Hashed has established, maintained, and enforced strict internal policies and procedures designed to identify and effectively manage conflicts of interest related to its investment activities. This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice.
EIP-4895 is a significant Ethereum upgrade designed to enable beacon chain withdrawals with minimal impact on network security. It introduces gasless, partial, and full withdrawal options for validators. Although there may be increased selling pressure during the initial 4-6 days, it's expected that staking demand will rise after the upgrade. The successful implementation of EIP-4895 is a crucial step toward a complete Proof of Stake Ethereum, and it's essential for the community to actively observe and participate in the testnets to ensure a successful upgrade.
[EigenLayer] The Next Frontier in Crypto: EigenLayer’s Vision for a Lower Cost of Capital
And meaningful fundraising news for Ethereum eco — Eigenlayer.
By Bart Stephens, Ryan Sproule, and Yuan Han Li You have an amazing idea for a new cryptoeconomic network/protocol-whether an L1, oracle, bridge, data storage protocols, or something else-after building it, how would you go about bootstrapping it?
EigenLayer presents a groundbreaking innovation in re-staking, which dramatically reduces the capital costs associated with bootstrapping new blockchain networks. By utilizing ETH already securing the Ethereum network to reinforce new networks, EigenLayer diminishes the required capital outlay to incentivize, attract, and retain a decentralized cohort of top-tier validators. Consequently, this fosters a more accessible environment for visionaries to launch novel networks.
The EigenLayer Stage 1 Testnet is now in progress.
Highly recommend the video below, as it provides an excellent guide to understanding the comprehensive structure of EigenLayer.
[Linea] Public Testnet Launch
L2 Unlock user engagement Powered by Consensys Projects across web3 are building with Linea to unlock new capabilities without compromising the security and developer experience of L1 Ethereum
Public blockchains, wallets, and developer tools may not be fundamentally different in nature. The business of public blockchains revolves around recording programs in blockspace and attracting users, making economies of scale crucial. It seems plausible that ConsenSys, already offering a wallet and developer tools, could venture into the realm of public blockchains as well.
[Avail] Polygon spins off project Avail and co-founder departs
Anurag is leaving with Avail spinoff.
Avail as a modular blockchain with a data availability layer is uniquely positioned to help developers overcome the challenges of monolithic blockchains but falls outside Polygon's L2 solutions. Thus, I offered to continue leading Avail as a separate, self-funded entity. — from Anurag's thread
Wonder how the topology would be differentiated betw Avail and Celestia after this movement. Further article comparing Ethereum, Celestia, EigenLayer, and Avail for DA layer — A comparison between DA layers
[Polygon zkEVM] Introducing Immutable zkEVM Powered by Polygon: the Home of Gaming in Web3 in Partnership with Immutable
Immutable zkEVM, an EVM-compatible ZK-rollup powered by Polygon, will launch in the coming months. I don't see that many seats available for the game chains since the number of big gaming projects are declining... wonder how other chains would differentiate themselves as well.
[Polygon Supernet] Nexon heads into NFTs with MapleStory Universe and Polygon deal
Nexon announced that its MapleStory Universe virtual world ecosystem will enable players and creators to develop and manage non-fungible tokens (NFTs). And it is working with the Polygon blockchain protocol to make that happen. In a session today at the Game Developers Conference, the company said the NFTs will have both tangible and intangible values.
MapleStory Universe will be powered by Polygon Supernet. MapleStory N will include NFT-based items and characters, with DApps allowing NFT recognition and value beyond MapleStory N.
Think Nexon's reasoning and strategy with blockchain game quite resembles that of CCP Games. They are eager to build a long-lasting open ecosystem with extended in-game asset utilities and better standardization.
I believe only handful of blockchain games will survive, since it doesn't make sense for small games without community-driven works and robust narratives will be eventually sustainable for a longer timeframe. But these games will stand for a long time even if not successful in a short-term revenue perspective.
Gotchichain is set to launch, also powered by Polygon Supernets. It will be the go-to blockchain for Aavegotchi games and dApps, utilizing GHST as the gas token for all transactions. — From Introducing Gotchichain: Aavegotchi X Polygon Supernets
[dYdX] V4 Milestone 3 is Complete
We are back with another update regarding our progress on the dYdX v4 Blockchain, and we are excited to announce the completion of our third of five milestones! The dYdX Private Testnet is set to begin on 3/28/2023 and will last 2-3 weeks. Please read below for further details and timelines!
dYdX Private Testnet is set to begin on March 28th, lasting 2-3 weeks. Fully-public testnet and mainnet launch are planned for July and September 2023, respectively. Full node, validators, indexers, and frontends will be open-sourced.
dYdX is moving towards full decentralization in response to increased scrutiny from global regulators. The exchange is launching a test network for the next version of dYdX, which aims to remove centralized entities currently maintaining its operations. Founder and CEO Antonio Juliano believes that full decentralization is the ultimate goal for DeFi projects. — From DeFi Exchange DYdX Seeks Full Decentralization as Scrutiny Rises
[Noble] Announcing USDC on Noble
We are excited to announce that Noble will be an issuance platform for native USDC in the Cosmos and boundless Inter-Blockchain Communication (IBC) ecosystem! The IBC ecosystem has never had a native, fiat-backed stablecoin that is highly liquid and fully collateralized.
Noble is set to revolutionize the IBC ecosystems with native USDC.
This integration aims to boost liquidity in Cosmos and address the challenges with bridged assets.
Noble has been developed through a collab betw Informal Systems, Strangelove Labs, and Iqlusion, with Strangelove as the primary engineering partner.
The platform aims to simplify asset ownership and transfer within the IBC ecosystem, starting with USDC and eventually supporting a wide range of digital assets.
And the dYdX chain will use native USDC powered by Noble at launch.
For more info: Noble_xyz is more than "USDC on Cosmos"!
[Injective] Injective Launches Cascade: First Ever Interchain Solana SVM Rollup
Injective today is releasing Cascade, the first ever Solana SVM rollup for the IBC ecosystem! The integration will bring the Solana Sealevel Virtual Machine (SVM) into the broader Cosmos world, enabling Solana developers to rapidly deploy their Solana contracts and dApps onto Injective. By doing so, developers can now allow
Injective is launching Cascade, the first-ever Solana SVM RU for IBC, enabling Solana devs to deploy their contracts and dApps onto Injective.
The Solana Sealevel Virtual Machine (SVM) is a parallel smart contract runtime, while Eclipse is a customizable RU provider.
Cascade's launch will go through several deployment phases, with the goal of having a permissionless sequencer and Injective as the core settlement layer.
Citi Says Mass Adoption of Crypto Will Be Driven by CBDCs, Tokenization
Citi says the industry is finally "approaching an inflection point" and that blockchain technology will soon see "billions of users and trillions of dollars in value." In its latest report "Money, Tokens, and Games: Blockchain's Next Billion Users and Trillions in Value," Citi analysts suggest that the next influx of crypto adoption will be powered primarily by the rise of central bank digital currencies ( CBDCs) and the tokenization of real-world assets.
Citi analysts expect $5T circulating in CBDCs by the end of the decade, with some having blockchain interoperability or being DLT-specific. The advantages include interoperable payment instruments and enthusiasm from developing economies. However, risks include protecting user privacy and users shifting deposits from smaller commercial banks to CBDCs.
Tokenization of traditional financial assets could be the "killer use case" for blockchain, potentially growing 80x in private markets and reaching nearly $4T by 2030. Benefits include disintermediation, composability with cryptocurrencies, and a shared "golden-source" infrastructure for different asset classes. Challenges to overcome include regulatory clarity and potential pushback from the financial industry, as tokenization could render some jobs obsolete.
The envisioned end state is a digitally native infrastructure that operates 24/7 and is enhanced with smart contract and DLT-enabled automation. This infrastructure would enable new product features, improve market access, and streamline distribution. Despite skepticism among some traditional players, the collective value of tokenization's benefits has the potential to drive significant transformation in the financial sector.
Leading ecosystem players are bullish on tokenization due to its potential benefits. Traditional financial market infrastructures (FMIs) are the primary focus, as they possess a large user base, trade volumes, and assets under management. Early movers could gain a significant advantage in a market worth trillions. Tokenization can drive new portfolio opportunities, change market structures, and reward entities that adapt to the new model.
Always thought that how we assess the cryptocurrency market cap in the future would be somehow different from now bcz I believe securities, especially private market assets; private equity & real estate, et al will eventually be tokenized.
It's already happening:
Tokenized Warhol paintings are ready for their 15 minutes of fame
Tokenized gold tops $1 billion market cap amid banking crisis concerns
Come for the Tool, Stay for the Exchange: Bootstrapping Liquidity in the Private Markets
Read this last year while studying for Carta; I'd share it again.
Over the past 20 years, there has been a dramatic shift in capital flow from the public to private markets. Since 2000, private market assets have grown over 10 times, representing over $6 trillion globally. This trend has been ...
The shift from public to private markets has increased private market assets to over $6T globally. To meet the growing need for liquidity, a new generation of private market exchanges is expected to emerge, beginning as software tools.
The "Come for the Tool, Stay for the Exchange" strategy can help entrepreneurs bootstrap liquidity, avoid negative selection, and ensure common financial reporting standards.
Companies like Carta and Juniper Square serve as examples of businesses executing this strategy, creating two-sided networks and unlocking significant enterprise value by creating durable venues for private market liquidity across various asset classes.
$1 trillion in equity: How Carta is set to unlock the private markets
Carta aims to address this by launching CartaX, the first issuer-sanctioned platform for buying and selling private company shares at scale. Carta's dominant position and strong network effect allows it to create a trusted environment for controlled auctions, enabling private companies to effortlessly run auctions while maintaining the benefits of staying private.
CartaX is expected to be a game changer for companies, employees, and investors, providing better attraction, incentivization, and retention of talent and capital. It will help close the liquidity gap in private markets, which currently have trading volumes 330 times lower than public markets. As CartaX becomes a critical component for startup success, the venture ecosystem may experience a significant behavioral shift.
AFAIK, there are at least two companies building 'Carta for crypto' including Magna and LiquiFi.
Magna raises $15m at $70m round led by Tiger Global and Tusk Venture Partners
Not really happened so far, but likely to happen in the near future:
I think that all new issuances will be tokenized five years from now. I wouldn’t be surprised if that happens more quickly. Perhaps in three years, every new stock, bond, anything being sold…is actually a token. But there would still be the legacy instruments out there — probably ten years from now it will all have been rolled over. So, I think that’s probably the correct way to say it. Within three to five years, all new instruments will be coming out as tokens, and by ten years all instruments will have rolled over to be tokens. I would imagine that’s the truth. — From Patrick Byrne Discusses Security Token Future, tZERO Updates, Ravencoin, More
eToro secures $250M at a $3.5B valuation after scrapping SPAC, seeing slower growth
Israel-based eToro, which was set to go public at a $10.4B valuation, says it had 2.8 million funded accounts at the end of 2022.
Stripe down 45%, Klarna down 85%, FTX DOWN BAD 99.9%, and now eToro down 65%. Revolut the only surviver among mentioned above (because they didn't get the fresh injection yet)?
eToro secured $250M at $3.5B, following the cancellation of its SPAC at $10.4B last year. The funding comes via an AIA from ION Group, Social Leverage, SoftBank, and Spark Capital. The company reported 2.8M funded accounts by the end of '22, up from 2.4M in '21. Commissions in '22 totaled $631M, down half compared to '21 and only up 5% from '20.
One thing on my mind is that fintech is a byproduct of a cyclical phenomenon. We used to play around with money to make money at the end of each bull cycle, and then some of the noted ones would go bust. This would result in a reset and a retreat of regulatory flexibility.
Eventually, a recession would come, and another cycle would begin. I feel like we are currently at the edge of a cycle, which means that another set of hope and opportunities is here, yet to rise.
The Saudis are investing. A situation where there is an urgent need to turn resources into national infrastructure before they run out. Spending money well is just as difficult as making money well. But these days, as I watch the Saudis tiptoe between the US and China, I think they're doing a pretty good job.
Saudi Arabia Discloses Ties to Andreessen Horowitz, Dozens of Other Venture Funds
For several years, venture capital firms have been cagey about whether they have raised money from Saudi Arabia, following the 2018 murder of Washington Post columnist Jamal Khashoggi in one of the country's consulates. The Saudis, for their part, are no longer keeping quiet. The venture arm of ...
PIF has revealed its venture arm, Sanabil Investments (investing $2B annualy in VC, growth, and buyout funds), has ties with around 40 US-based VC firms, including a16z, Coatue, and Insight Partners (and some of the noted crypto funds including Polychain, Iconiq, and Race) through website.
The relationship between Silicon Valley and Saudi Arabia has been controversial since the 2018 murder of journalist Jamal Khashoggi, but the sovereign wealth fund has managed to distance itself from the country's politics through a public relations campaign.
Saudi Arabia Is Investing $38 Billion to Become a Video-Game Hub
Think I've seen this before like couple months ago, but uploaded again on major media again. Saudi's initiative towards gaming is aggresive. (But some critics have described Savvy's esports initiatives as "sportswashing.")
Saudi Arabia is investing $38B through PIF to become a major global gaming market player. Savvy Games Group, the PIF's subsidiary, aims to develop, publish, and acquire top-tier games and support the gaming industry in Riyadh.
In 2022, Savvy acquired ESL, an esports tournament company, and merged it with gaming platform FACEIT in a combined $1.5B deal. In March, EFG acquired esports technology company Vindex. — ESL FACEIT Group Acquires Vindex to Strengthen Position as Global Leader in Esports & Video Game Entertainment
One more recent deal to mention: Saudi’s Savvy Games Group to acquire mobile games company Scopely for $4.9 billion
2022 Annual Letter by Chamath Palihapitiya
Social Capital's Annual Letter. Chamath brings two core themes driving future innovation: energy and compute costs approaching zero.
And Tomasz Tunguz, ex-Managing Partner at Redpoint, announced his new venture firm, Theory, with launch of $230M fund. Think Theory Ventures can be classified as 'Data VC.'
The 3 main areas he's targeting for:
Decade of Data (data software for modern organizations)
Machine Learning as Force Multiplier (enhancing workflows and user needs)
Decentralized Infrastructure as Database (blockchain transforming user and asset relationships)
Crypto VCs Revert to What’s Safe: Blockchain’s Building Blocks
Crypto infrastructure startups are attracting investors who see them as a safer option. This investment trend mirrors the post-dot-com crash focus on internet back-end software companies.
Crypto infrastructure firms also pose lower regulatory risks compared to token-issuing businesses. The growing number of active blockchain developers further supports the infrastructure sector's appeal, as these firms primarily serve other cryptocurrency businesses.
Well, that wraps up the first edition of Facta non verba. I might've bitten off more than I can chew with the length of this week's content, so I can't promise I'll keep it up for the next one. But if you found it useful, please hit that subscribe button!
And as a little incentive, the first five subscribers can collect this article for just the price of a cup of coffee (0.002 ETH). See you next time!
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In the next 3 to 5 years, those private company shares could be tokenized -> that's super interesting
that was a bit drastic expectation since there weren't even convos going for security tokens at that moment — but it will come at last in the future imo
Awesome read☕️
Tysm 🙏