DADA-X Official @DADAX_0505
Decision-Zone’s Decentralized Autonomous Decisioning Agent - platform for AGI (Email) [email protected] dada-x.com Canada Joined May 2022-
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Autonomous process integration leads to faster, more accurate and truly concurrent decision-making. Our DADA X agent works in a many- to-many fashion, not one-to-many, and can integrate processes that occur between systems (internal and external). #nodatabase #autonomous
Big tech is lobbying governments for sovereign AI mandates & data center construction. But examine their motives: their vision of technological autonomy involves massive profits from continuous upgrades of proprietary hardware / software that may not align w/ national interests.
DADA X agents can dynamically detect anomalies within and across processes as they occur in real-time. DADA X flags deviations with full end-to-end context immediately, and allows for #autonomous remediation before impacts cascade.
"Data is the trace left by events..." - Remy Fannader Why work with traces when the events themselves can be the driver? Autonomous integration is made possible by monitoring and controlling events directly. #Autonomous #AGI
Eliminate the need for complex data pipelines and storage infrastructure. DADA X integrates activities without data aggregation, streamlining processes. Eliminating data aggregation and analysis translates to significant cost savings in infrastructure, personnel, & maintenance.
Dr. Sarah Eaton discusses the social & philosophical implications of #AGI and describes how the DADA-X project promotes a transparent & ethical approach to #ArtificialIntelligence. FULL INTERVIEW: youtu.be/83h-TJumHe0 #AI #OpenAI #ChatGPT #LLM @DADAX_0505 @SarahDADAX1
We've created the first platform to bring the power of concurrent agents: only DADA X enables truly concurrent decision-making for robots & autonomous systems that can act in real time. No one else is doing this. The future isn't just agents, it's #concurrentagents.
So, 2024 is the year of the Agent. That's what we have-- DADA X : Decentralized Autonomous Decisioning Agent. Think of it as autonomous retrofit for cognitive tasks. Our agent is a causal engine using a special language (Rapide) with causal operators.
We think an AGI without autonomy .... isn't an AGI.
The next wave of innovation will be filling the Autonomy Gap - with higher agent models (that are event-driven/ process oriented) capable of using lower level tools, detecting anomalies at the lowest level of granularity, and remediation/control in real-time. #AIInnovation
This, from @Grimezsz made my heart sing. "I’d like to see some philosophy departments [at AI companies]." I'm the only philosopher at an AGI company @DADAX_0505 and would be happy to see a department bloom here someday. Would be more fun for them than academia (I would know!) 😅
GPT models are computationally intensive, requiring substantial resources for both training and inference. But there's a more efficient approach. Event-driven natural language units built with DADA X will revolutionize the field. #AIInnovation
Event-driven #autonomous applications are designed to respond to incoming events in real-time, which brings real-time adaptability. Our DADA X platform allows for causality-driven decision-making processes, a giant leap beyond processing of data & statistical pattern recognition.
The IT era has been Data-centric. As we move to an era of autonomous capabilities across domains (yes, including enterprise!) the new paradigm will be Event-centric. Data integration will not bring computing into a dynamic era of operating in the Now. #AIInnovation #Autonomous
We stand at a critical juncture where mere automation is no longer tenable. The path forward demands a revolutionary shift — from the static to the dynamic, from the programmed to the intuitive. Autonomy is not merely an upgrade; it is an imperative. #Autonomous
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It's not just about losing work due to AI, it's crap like this where the client offers you half your rate after giving you a hundred AI images to reference. AI ref won't dramatically decrease your workload at all, yet they still want a reduced rate. I've dealt with this as well.
When @beffjezos and I both smell the stench of regulatory capture, you know it’s bad.
Ayo Closed Source Alliance for Regulatory Capture just dropped
All AI Arts got the same aesthetic now, I hate it, even new tech in new papers, every exemple it's just the same AI slop
The thing with averages is that they tend to look very similar. That is, if you average out many random things, the results will start to resemble. AI art is simply averaging out human art hence it loses the diversity that makes art what it is.
All AI Arts got the same aesthetic now, I hate it, even new tech in new papers, every exemple it's just the same AI slop
It would be such a joke if LLMs trained with vastly superhuman compute on vast amounts of human output will never get past the shadow of human intellectual capabilities
Interesting how in all these domains AI is asymptoting at roughly human performance - where's the AI zooming past us to superintelligence that Kurzweil etc. predicted/feared?
I am taking a break from this platform. When I pointed out direct, obvious examples of anti-Semitism, X rejected my complaints. Now some idiot working for X has failed to understand that the three letter word noted below is an abbreviation for the important statistical notion…
this is wild. guy tweets about “confidence intervals”. gets censored for hate speech.
If you believed in - coast to coast autonomous ride in 2017 - hyperloop NY to DC in 2018 - million robo-taxis in 2020 - humans on Mars in 2022 Then I guess you are destined to believe in Optimus robots by the end of 2024. 🤷♂️
The intuition behind the “scale is all you need” movement was that it would be trivial to build AGI if you just kept gathering more data and building bigger models. What we are actually seeing is that it is apparently hard to get far beyond GPT-4, even with immense $ invested.
Our architecture protects the input layer by using a front-end approach that monitors the message bus.
This dynamic approach allows for autonomous applications that are better equipped to handle increasing complexity and scale. Autonomous process integration, as opposed to manual or automated data manipulation, can lead to faster, more accurate decision-making.
The key advantage of our event- driven model is that it aligns more closely with the natural flow of real-world processes. Instead of trying to capture and store every piece of data in a static form, DADA X reacts and adapt to events as they occur, in the 'now'. #autonomous
more reports on GenAI from the field, @theinformation
"Don't worry, you give us money, and once the AI is good enough, we can ask it how to make the money back." - OpenAI business plan
Sam Altman tells a room full of VCs with a straight face that he will take billions of their money, build AGI, and then ask it how to generate a return! #Ai #OpenAi #samaltman
Next gen AI might send us into a new dark ages where we just use deception to make things unscientific seem plausible. Next gen AI cannot generate new knowledge, & the fact that so many smart people argue about this so passionately means we are loosing the war on rationality.
It turns out the data bottleneck problem is more dire than initially thought: AI model performance - which can be largely attributed to the presence of test concepts within their vast pretraining datasets - increases linearly with exponentially more data. RIP: Scaling laws
@Plinz A statement’s epistemic weight arises in relation to an experience. Rational justification requires an epistemic ground, a first principle on which a causal structure of meaning is built. But the first principle is always ex nihilo, out of the fact that there is existence.
@Plinz Some statements, such as about one’s own qualia, have great epistemic weight precisely because they claim no more than what is immediately known.
Amazon couldn’t make its grocery stores work without humans behind the scenes. ChatGPT probably wouldn’t work without a lot of humans behind the scenes. Cruise couldn’t work without a lot of humans behind the scenes. Facebook’s M didn’t work without a lot of humans behind the…
🪦AI (or nearly dead for the foreseeable future AI) • Amazon Just Walk Out • Apple’s Car • Cruise as L5 self-driving • Facebook M • Facebook solving Fake News (as promised to US Senate 2019) • Google Duplex • Tesla fleets of robotaxis • radiologist replacement What…
It wasn’t a pause; it was a failure. Nobody stopped because of external pressure. They did their best to move forward, past GPT-4—and couldn’t. The time for new ideas is now.
It's interesting that we actually got something like a 6 month pause that FLI was asking for in their open letter. Nothing in the last 12 months has meaningfully surpassed GPT-4. How much safety benefit did we get from this unforced pause?
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