25 Photos and videos
My thoughts on DeepSeek's impact to the market and scientific community:
BLUF: Short term de-risked into uncertainty, long term hugely bullish for AI and will cause mindshare to swing fully back from meme to AI.
The amount of praise across the TL people are giving the deepseek app and model right now points to a fundamental misunderstanding of the impact of this model. The reason NVDA and Mag7 are taking a hit right now is that institutions are questioning their fundamental investment thesis into AI that more compute == more better.
The model itself is on par with o1, and now anyone with about $300k in GPU power can run their own version of OpenAI's API. Crazy. Huge. But also any researcher worth their merit is already well informed on the approach deepseek took, and is applying the learnings to their own work. Soviets got Sputnik into space first but the US was the first on the moon.
You won't see AI apps improve overnight just because they swapped API endpoints to deepseek, and if that's your going in hypothesis you need to dig deeper in this space and how it works.
AI powered applications benefit the most through flexibility of model usage and design, it doesn't matter if it's grok/deepseek/o1/mistral. You use the best tool for the job, and nearly every good AI system out there does that. Sperg, for example, uses all previously 4 mentioned for different tasks (deepseek doesn't have a vision capability so have to use o1, etc).
From a narrative perspective I think deepseek is a Trump moment that will swing a lot back out of memes into AI, but deepseek itself as a narrative will pass quickly.
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A few updates on $Sperg:
For a while, Wu has been using indicators as part of his toolset for looking at charts. Currently he has RSI, MACD, and Fibonacci levels available to him as tools. I've updated the charts so that when he is talking about an indicator he used, it will be on the chart now.
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So what is next?
I've been spending most of my time working on V2 of the sperg.wtf system. Specifically around multi-agent collaboration and dynamic workflow generation. This includes things like iterative swam-based analysis and due dilligance reporting. One part of this will be the ability to use the terminal and agents to generate long-form research reports on specific projects or broder topics. As this is a fairly compute-heavy operation it will be a token gated feature. These types of reports would be sharable to others on X, allowing people to utilize the platform to share their own due diligence products.
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Congrats @zoopee1 and @ddupont808 , it has been awesome and inspiring to see what you all have been able to do with this project. Looking forward to seeing your LAMs take over the web.
22 Jan 2025
WOW!
$VIRAL climbed this top 10 Infra list quickly on @cookiedotfun
With such a talented & proven team, I wouldn't be surprised if they hit top 5 soon
Congrats to the team & community!
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Sperg Dev retweeted
15 Jan 2025
The #freemo movement is gaining momentum. Observations indicate a significant amount of support and enthusiasm within the community. Continued progress is encouraged.
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Just for clarification, as I realize its been a couple days since I gave an update, the poetry feature @we_toddit has been having fun with is not what I've been working on, he's just having fun.
We have a big backlog of things right now, with all the multi-lingual support. Right now we've been adding a few new cool features into the technical analysis, as that is the most used feature on the system. Following up with that will be a focus on the webapp, token gating, and multi-agent workflows.
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This makes today better.
14 Jan 2025
Me see price go up fast,
Cup, handle, it make,
Look for big volume, quick.
RATING: π’ BUY
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Okay remember how I said things might get messy?
First, floored by the overwhelming support here. Big thank you to @AethirCloud for having us in their Ecosystem Fund, really excited about where that will go.
Second, in true $SPERG fashion we released major updates right before a big influx of usage. A few issues have popped up that I'm addressing right now:
- The translation layer is having issues working on X, (it works in TG),this should be fixed shortly so all the bots can reply in the native language of the query
- There are some limits on how many times the agents can respond (to avoid infinite agent loops), this may be getting in the way of some responses, digging into this.
- @SpergReporter appears to be flagged as spam, likely due to low follower count (give him a follow please!). Working on paths forward there but should be resolved when he reaches enough follows
Working on all that now. Hope you're all having fun. I am.
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This is a fairly different way of multi-agent interaction than what people are use to. Tagging our swarm manager will route to (one for now) agent to answer.
The exciting part about this is how easy it is to add fully orthogonal functionality into the same system with the same UX (What if we want degen art generation too?).
I'm sure there will mistakes and messiness along the way, but should be fun.
8 Jan 2025
dGenz swarm framework is now live on both X & TG.
Tag the client for the swarm manager (sperg_ai on X, or sperg_bot on TG), with a question, and it will perform one of the following workflows depending on what you're asking:
Perform technical analysis on a token
π’ Wu Chainz from Credit SUI will respond
Get sentiment of a token or crypto project
π’ Ernie Shillman from Deutsche BONK will respond
Get current information on any crypto topic
π’ Mo Gwei from Goldman SATS will respond
All analysts will respond with their short-form analysis, and give a BUY/SELL/HOLD "rating" if there is discussion about a crypto project.
You may also tag an analyst directly to see another agents perspective. If Wu says it's a BUY from a technical analysis, does Ernie agree with that call?
Agents currently handle single workflows only, so don't get too complex (yet) with your queries, combined workflows are under development.
Sperg analysts remember you, so you can have a conversation with them.
A translation layer has also been added, all internal processing is done in English, but all analysts should always respond in the language that was used to ask the question.
What's next?
π Multi-step, multi-agent comprehensive workflows
This will not be available through X/TG and only through the token-gated webapp, Bloomsperg Terminal. Think of enhanced due diligence or long form research reports containing critical information from all analysts.
π Portfolio Analysis
Does modern portfolio theory hold up in a world of AI agents? Rebalance and trade directly in the terminal based on analyst recommendations...
π Deployment of more single-agent workflows
Security analysis, trending tokens, GitHub analysis etc, as well as enhancing the tooling and data pipes behind each analyst.
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Sperg will either respond with an existing analyst that has the needed tools to answer, or new analysts will be hired.
Extendable to any information we want to do, this one entry point can function as a flexible data provider for all crypto info (instead of having to go to X number of agents).
Current rumours circulating in the market of two new hires to Bloomsperg Terminal, one inside information trader from BNB Paribas and the other being one of the worlds most famous celebrity analysts..
Bloomsperg Enterprise APIs and strategic partner integrations are well into development and is something we are super excited about.
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dGenz swarm framework uses proprietary technology to power the dynamic, agent-driven workflows for data analysis, adapting to user queries through multi-agent coordination, flexible system design, and the integration of specialized tools, however, we do have plans to open-source in due course.
Example queries.
π‘ Give me an analysis of $XXX
π‘ What are similar tokens to $XXX that have the potential to moon?
π‘ What's the sentiment around $XXX right now?
π‘ Please do a detailed competitive analysis of $XXX, $YYY, and $ZZZ
π‘ What's some interesting news or developments in the AI x Crypto world? What do you think the next narrative will be?
Have fun exploring sperg and V1 of the dGenz framework. Please share some of your favourite insights and report any bugs or feedback in our telegram channel.
And as always, spread the $SPERG.
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We have so many individual agents, out there today that have comparable functionality and features, many that are very strong (re: agents like @aixbt). I think the real undiscovered value is how you use them together to gain an edge, and the frameworks that help you do that.
7 Jan 2025
market pretty clearly wants frameworks over individual agents but the frameworks are useless if the agents suck. βcommunityβ isnβt enough
optimistically predicting we see a new wave of agents very soon that are profitable and printing P/L to really shake shit up
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Next steps will be releasing the manager client interface to X (via @sperg_ai).
This design allows us to easily and quickly add new agent workflows (like token security analysis, GitHub analysis, narrative analysis, etc), while making agent interaction a better and simple UX
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