
Financial Infrastructure powering the AI Economy Providing the financial layer for AI - ASI: Chain and @ASI_Alliance https://xitter.cf/t.co/wVL3IRVynr
Joined August 2024
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Singularity Finance retweeted
Deconstructing Dario Amodei’s dubious call to “pace the frontier” through the lens of rational social theory - individual vs. group selection, civilized self-deception, and the math of emergent ethics.
Singularity Finance retweeted

Artificial Superintelligence Alliance@ASI_AllianceSep 16
United Kingdom!
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Singularity Finance retweeted

SingularityNET@SingularityNETJan 13
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Joining the @ASI_Alliance decentralized AGI network is your chance to "participate in shaping the mind of the first superhuman thinking machine that humanity builds." $FET
Singularity Finance retweeted
Some observations/thoughts on current LLMs for the fiction-writing use-case...
I mainly use LLMs for math, prototype/research software code, and basic everyday QA/search ... However recently I decided to try using GPT5.2 to prompt an SF/thriller novel.. my first try at LLM fiction since using GPT4.* as a supporting tool in collaborating on a screenplay for an anime' (QASIM, the Quantum ASI Matrix, which is in the works).
What I started with: Plot, characters, theme, fictional world
Quick reflections on what is better now vs Q1 2025 regarding using LLMs for fiction, and what's the same and what's worse.
Around the same: understanding of character is good, basic prose construction is strong, understanding of plot within a scene is good, understanding of theme and tone is good (as long as tone is close enough to typical for some genre). Dialogue is still terribly wooden/cliche' and only half-usable at best (by my own aesthetic), though there are some wonderful snippets too.
Worse: 5.2 is extremely PC to a fascist extent, you have to do prompt gymnastics to get it to have a character do hacking, or dress up as a person of a different religion. This is insane -- do we really want to excise illegal or offensive acts from *fiction*? I am reminded of Jack Williamson's classic "The Humanoids" where the AI robots want "to serve and protect and guard men from harm" so they ban wood shops (you could cut yourself!) and Shakespeare (so emotionally disturbing!!)....
Better: The main difference is, the model can now understand the narrative and thematic flow of a whole novel (OK this is not Remembrance of Things Past, but...) and bring this understanding to bear on its scripting of each of the parts.
In the end, if I ever find time to produce this novel (I find writing fiction a decent way to use the time on long flights without usable wifi for instance ;), what I will do it: Take the LLM's zeroth draft as a guide for structure and rhythm, and re-write almost all of it, but keeping the choice bits from the LLM's production.
This may actually be useful for me as when writing fiction free-flow I have trouble staying within the mood and structure of any genre, quickly multi-verging into surrealist garden-of-forking-paths-of-consciousness... The LLMs is really good at genre-ness and cliche' and since my instinct is to be overly creative and weir for most readers, using the LLM's structure (as laid out for my particular plot and characters and theme) as an approximate template might be quite helpful... we'll see...
In terms of tech progress, obviously this level of progress in some respects, over a period of 9 months or so, is impressive and dramatic. For this use-case, to me anecdotally, 5.1 and 5.2 are a big leap past the 4.* or o* models (or any other non-OpenAi models existing concurrently with them). (GPT5-Pro is also a big leap beyond the prior o1 and o3 for math ... and coding models are getting better and better fast too.. but that's not my topic here..)
If you wanted to churn out competent but cliche' genre fiction, the LLM can probably do it now as well as the famed "median human" and maybe better... However the lack of progress on rich aesthetic quality is interesting. After all there is a lot of highly deeply beautiful material online to train from. But so far it seems that authentic, compelling aesthetics requires a degree of specificity to the work being created, that is not obtained from algorithms that munge together patterns from huge datasets in a shallow way (nor from any other algorithms).
Whether 2026 or 2027 LLMs will be able to produce aesthetically compelling works of fiction remains to be seen. I find myself more fascinated, computational creativity wise, by making AIs that can produce aesthetically compelling works out of *their own* lived experience. Yes commissioning an apropos work of fiction from an LLM author could be cool in that fiction can be a powerful way to communicate important ideas to people who are more emotionally receptive to fiction than nonfiction. OTOH I enjoy writing fiction and don't especially want an LLM to do the whole thing "for me." However it will also certainly be interesting to see what it takes AI architecture wise to pass the "emulating aesthetically compelling human products" milestone.... We are not there yet...
I have worked more with AI for music... our first "Desdemona's Dream" double-album will come out early next year, featuring not just a robot on vocals (singing and spoken-word) but various AI-generated beats and soundscapes in a context of mostly human-jammed music. In June of this year we did a recording session in Mexico City where about half the songs had more significant AI-composed components... There as well what I find is: the AI can come up with some rather aesthetically cool or even profound segments and parts, if you prompt it well and select the good bits ... but if you try to get it to produce too much of an overall work, it reverts to cliche' way too much for my own taste. Not to say you couldn't get a viable new pop song using current music-AI, but I don't think you could get a *classic* pop song, nor a really richly originally meaningful composition in a more complex genre. (I have some different ideas about how to make AI music composition work well using current tech, but these mix neural models with different sorts of AI... and that's not my topic here either...)
LLMs are a transitional tech between narrow AI and actual AGI, which as most who follow me know, I think will be achieved via different methods (perhaps hybrid systems like Hyperon leveraging LLMs as one component). So we could just wait till we get actual AGI that will be far less dodgy as a creative collaborator on fiction or music projects. It may just be a couple years, we'll see. OTOH experimenting with tools at varying degrees of capability is also fun, and of course is part of an artistic process -- so much of aesthetic creation is always about working around and pushing against the limitations of one's medium and tools.. from the limited vocabulary of natural language (unless you're doing Finnegan's Wake) to the 12 tones of the scale etc. ... the limitations of each new phase of LLMs is part of the scape...
Singularity Finance retweeted
ASI Chain has officially opened its Public DevNet; a major milestone for the architecture that will underpin decentralized intelligence.
For Singularity Finance, this is the environment we’re built for.
Operating as the DeFi shard of ASI Chain, $SFI will support enabling yield, liquidity, and capital flows for the shards, contracts, and agent-driven logic.
The foundation of the AGI economy is taking shape.
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Singularity Finance retweeted
$SFI
DynaVaults transfer value from short-term to long-term participants, without requiring lockups, penalties, explicit fees. This rewards patience with the long-horizon dynamics of the underlying strategy.
When a whale leaves a vault, APY goes up for remaining participants.
Singularity Finance retweeted
Consolidation is when smart money looks for yield.
$SFI ’s vaults are delivering triple-digit APYs on $USDC, and strong yields across $BTC and $WETH pairs.
Periods like this are exactly when yield matters most.
If you’ve taken profit, let those profits take profit.
singularityfinance.ai/vaults
Singularity Finance retweeted
Update: @DeBankDeFi and @Rabby_io Wallet are now including and displaying all your DynaVault holdings!
This includes earlier $USDC vaults, the recently released $ETH and $BTC vaults on @base and even the upcoming $EURC vault 👀
Also: All users who follow Singularity Finance on DeBank for more than 30 days can mint and claim the badge "Old friend of Singularity Finance"!
See and follow here: debank.com/official-badge/16… 🤝🤝🤝
The $SFI dynBaseBTC and dynBaseWETH vaults are now live for public access.
After successful closed beta testing, these medium-risk vaults are open to all users seeking adaptive yield exposure to $BTC and $ETH; designed for those who want consistent performance without excessive volatility.
Each vault is structured to balance risk and opportunity through dynamic liquidity management, active strategy adjustment, and continuous monitoring across Base’s ecosystem.
Security, performance, and transparency are built into every layer.
Harness the APR today! singularityfinance.ai/vaults
Singularity Finance retweeted
Singularity Finance’s dynBaseBTC Vault is now ranked #1 on @DefiLlama when filtered by APY; outperforming every other BTC yield vault on Base! 👀🎉
Structured for balance under volatility, the dynBaseBTC vault adapts to market momentum while preserving liquidity integrity.
Built for users who value precision over speculation.
See rankings: defillama.com/yields?chain=B…
The $SFI dynBaseBTC and dynBaseWETH vaults are now live for public access.
After successful closed beta testing, these medium-risk vaults are open to all users seeking adaptive yield exposure to $BTC and $ETH; designed for those who want consistent performance without excessive volatility.
Each vault is structured to balance risk and opportunity through dynamic liquidity management, active strategy adjustment, and continuous monitoring across Base’s ecosystem.
Security, performance, and transparency are built into every layer.
Harness the APR today! singularityfinance.ai/vaults
Singularity Finance retweeted
More cool products from Singularity Finance... step by step the DeFi ecosystem is maturing into a much more interesting, more democratic and open and flexible parallel financial system.
This launch marks another step toward a complete vault ecosystem at Singularity Finance — from stable, low-risk products to advanced, high-yield strategies.
The dynBase series bridges both worlds, combining algorithmic precision with capital discipline.
They’re live, they’re tested, and they’re built for real performance.
Explore the live vaults today: singularityfinance.ai/vaults
Singularity Finance retweeted

SingularityNET@SingularityNET10 Aug 2025
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By unifying representation, computation, and deployment in a single metagraph-based framework, Hyperon offers a flexible infrastructure for experimenting with alternative cognitive architectures, scaling AGI algorithms, and steering toward beneficial superintelligence.
Singularity Finance retweeted
Singularity Finance has launched dynBaseUSDCv2, a new stablecoin vault built on Base L2 !
This upgraded vault introduces a broader mix of underlying assets with a slightly higher risk/reward ratio and a more dynamic yield profile.
Protocols are handpicked to avoid exposing your principal to high risk, and vault weights are actively rebalanced to stay aligned with market conditions and yield opportunities.
Available now on the Singularity app.
singularityfinance.ai
Singularity Finance retweeted

SingularityNET@SingularityNET4 Aug 2025
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We are pleased to announce that CEO Dr. @bengoertzel will speak at AGI-25 on August 12, 2025, to discuss the OpenCog Hyperon neural-symbolic-evolutionary approach to beneficial AGI and ASI.
Secure your spot to join us in Iceland or to watch online now: events.payqlick.com/event/51…
Singularity Finance retweeted

Artificial Superintelligence Alliance@ASI_Alliance3 Aug 2025
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The decentralized intelligence ecosystem is growing fast.
To keep the signal clear and the content relevant, we’ve launched dedicated channels for builders, investors, and researchers.
Each speaks directly to the priorities of its audience, while staying connected to the mission…👇
Singularity Finance retweeted
Dr @bengoertzel breaks down the $SFI roadmap and vision for agentic finance.
Key insights from this conversation:
→ Why AI-driven DeFi is inevitable
→ How SFI fits into the broader ASI ecosystem
→ Timeline for autonomous trading agents
→ The role of intelligence in financial infrastructure
This is the technical and strategic thinking behind what we're building.
CEO @bengoertzel and CTO Raam Baranidharan outline where we're headed—and why it matters.
Diving into the future of the $SFI token, and how Singularity Finance is evolving into core infrastructure for the @ASI_Alliance. From liquid staking to enabling AI agents to interact with DeFi directly on-chain, this is the clearest picture yet of what we’re building and why.
Watch: youtube.com/watch?v=q9WaqL5k…
Singularity Finance retweeted
🚀 $SFI Bonds are SOLD OUT! 🚀
@Singularity_Fi successfully raised $84K+ across 3 Bond offerings — powering the next wave of AI-driven finance. 🤖👏 Massive congrats to the team for making waves!
🟣 Ready to raise funds efficiently with your token?
👉 ape.bond/partners
Singularity Finance retweeted

SingularityNET@SingularityNET23 Jul 2025
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Artificial General Intelligence is on the horizon.
Join us at the AGI-25 Conference to connect with the AGI research community, hear from industry pioneers, and explore live software and hardware demos.
Register now to attend or watch online for free: agi-conf.org/2025/
Singularity Finance retweeted

SingularityNET@SingularityNET21 Jul 2025
Europe
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The AI industry as we know it today is dominated by a small handful of firms controlling the essential resources for their approaches to advanced AI and AGI development: computing power, large datasets, and highly skilled researchers.
Much of the work undertaken by these companies is broadly valuable AI R&D. However, it remains constrained by narrow business models that prioritize architectures designed primarily to serve those models and maximize shareholder profit.
A study titled ‘The growing influence of industry in AI research’ documented how these companies have shaped the field for over a decade by increasingly defining career incentives, what counts as the leading edge of AI innovation, and how benchmark performance is measured.
These dynamics have established narrow priorities for AGI research that favor scaling-based approaches while overlooking more viable paths to true human-level AGI, such as OpenCog Hyperon and large-scale nonlinear-dynamical brain simulation.
This corporate dominance is primarily driving the pursuit of computationally intensive AI approaches, such as LLMs, through massive data center projects such as Meta's Manhattan-sized Hyperion facility and OpenAI's Project Stargate, increasing demand for resources that only Big Tech can supply and further strengthening their significant advantage.
This capture of the AI pipeline carries profound implications for the future of AGI development and global technological governance. What began as open, collaborative research for the benefit of humanity has evolved into a corporate oligopoly where critical decisions on the future of AI are made in boardrooms rather than through participatory decision-making.
This concentration raises a fundamental question about the trajectory of AGI development: How can the development of this technology serve the broader interests of humanity and other sentient beings when constrained by corporate competition and shareholder returns?
The current trajectory systematically excludes global and decentralized representation that can balance the exercise of power, community-governed development models that prioritize collective benefit, and alternative architectures that emphasize wisdom-based intelligence, consciousness development, and democratic inclusiveness.
Yet this trajectory is not inevitable. The “Participatory Framework for a Global AGI Constitution,” co-authored by Dr. @bengoertzel, Dr. @3anneloes, Dr. Mariana Bozesan, and Laura George, J.D., outlines concrete mechanisms for ensuring that the choice between corporate dominance and democratic stewardship of humanity's most transformative technology remains within our collective power to influence: cadmusjournal.org/node/1064
Singularity Finance retweeted

SingularityNET@SingularityNET18 Jul 2025
Europe
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We are pleased to invite you to join us at the 18th Annual AGI Conference (AGI-25), sponsored by SingularityNET and the @ASI_Alliance.
Experience keynotes from visionary leaders, including @bengoertzel, Richard Sutton and Joscha Bach, alongside workshops and live software and hardware demonstrations.
During the Conference, our AGI R&D team will hold a workshop exploring the current stage of Hyperon technology, our envisioned near-term roadmap toward human-level AGI, and Predictive Coding as a framework for neural and symbolic learning and Inference for AGI.
Don't miss your chance, learn more about the Conference and register today: singularitynet.io/your-invit…



















