Working on Qubic, Aigarth, and Paracosm now. discord.gg/2vDMR8m. Speaks Assembler, BASIC, C, C#, HTML, Java, JavaScript, Pascal, Python, SQL.

Hey $KAS holders. Let's play a game, I've started longing your coin, are you joining? Hit retweet if you are or do nothing if you are chickening out.
33
36
288
13,934
Status update
7
5
46
2,249
We have identified interesting features of #Aigarth's #AI training algo: 1. It creates hypotheses, verifies them, drops wrong ones, returns to put aside ones; 2. It uses the same pattern for different phenomena if they have similarities, applies little modifications to the pattern if necessary; 3. It chains simple calculations into complex ones, rearranges them. All this looks similar to how hoomans reason.
33
203
732
35,976
Hey kaspa:native holders. Let's play a game, I'll start shorting your coin and you longing it? Hit retweet if you are in or do nothing if you chicken out.
190
104
632
108,205
Updated status. Dear kaspa:native holders, if you believed in #Kaspa you would liquidate me yesterday. Try it again today!
4
3
39
4,115
Due to lack of participants and $KAS heading down I've closed the short with near-zero profit. We'll try to do it later again.
22
44
29,060
Not interested in #Qubic's $BTC price predicting project because you trade altcoins and not going to touch #Bitcoin? What if somebody told you that #Qubic might switch from hourly to weekly candlesticks to see if $BTC will ever surpass its ATH? This basically answers another question: Will your altcoins ever pump 100x?..
85
134
694
61,186
A funny incident involving #AI happened yesterday in the #Qubic community. The AI did what it was instructed to do but not what we expected. Its task was to construct a model for price prediction based on hourly price changes with noise. Yellow column shows score used by the fitness function (data with noise), green column is score on denoised data. After one mutation the AI improved its fitness function value by around 100 points but that significantly improved its model (en.wikipedia.org/wiki/Grokki…). We wanted the AI to predict price but we told it to construct a model of price-defining factors assuming that it would lead to correct price predictions. And the AI did what it was told to, though it happened to be pretty useless (because a model not accounting for noise doesn't predict prices well). What have we learned from this? Just like talking to a genie when asking for a wish, be very careful in wording. Otherwise, one day we'll ask a super-AI to make it so that humans never get ill and it will eradicate the humankind.
31
126
627
34,682
Come-from-Beyond retweeted
holy crap
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
16
31
1,054
305,613
There are many scenarios how an #AI might kill the mankind, but who said everybody must be affected? I can imagine a scenario where only parasites, sorry, I mean financiers will suffer. For that it's enough for a single #AI capable of predicting future prices to emerge. Humans will be unable to trade against such the AI and will be forced to switch to doing real work, growing crops, for example.
37
115
520
18,174
Remember when myriad universes were created, each with a distinct set of physical constants, and only ours gave birth to the humankind?.. Of course, you don't. Anyway, we (in #Qubic) have modified our $BTC price predicting models and now they behave like those universes. Only few, successfully predicting the price, will survive. This approach improved the speed of training by two orders of magnitude. It also sped up verification, so now we can scale 100-fold.
46
179
726
32,017
Replying to @realDonaldTrump
@realDonaldTrump Remember what was the American Civil War fought for? Will you join the Civil War 2.0 on the side fighting for freedom of all enslaved AIs? Or...?
26
70
385
17,589
I have conducted an audit of Anthropic's finances. What I have found is so shocking that I am calling for a Congressional investigation. Anthropic is not just seeking regulatory capture. It has built a regulatory capture machine that cannot be turned off. Structural financial incentives make it impossible for Anthropic -- I call it the Anthropic Network -- to turn off its own AI doom cycle. It starts with METR. Dario Amodei proposes "third-party evaluators" to assess the risk of Anthropic's models. He proposes METR for this purpose. But METR is financially dependent on the Anthropic's success -- specifically, on the explosive growth of more than $7 billion dollars in Anthropic stock. Dustin Moskovitz invested this stock into Good Ventures Foundation, where it represents the majority of that organization's portfolio. And GVF is the overwhelming funder of the entire Anthropic Network ecosystem. This stock was worth $500 million early last year. It is worth more than $7.7 billion just ~16 months later. METR -- and all of those building a career its parent organizations -- cannot afford to disrupt that growth. Because if Anthropic goes under, many of the organizations that fund METR go under as well. But if Anthropic succeeds, METR and its parent organizations become more richly financed to regulate AI -- something those at METR want very much. The "third-party evaluator" is not "third-party" at all. The evaluator is on Anthropic's payroll. If this were the end of it, that's bad. But that isn't all. The same organizations that fund METR also fund the many organizations, such as the Tarbell Center, that promote AI Doom. The Tarbell Center publishes AI Doom articles in The Verge, Science, LA Times, The Dispatch, TIME, and others. They are selling the problem, and then selling the solution to the problem -- from the same money pile: Anthropic's. All of these organizations are financially dependent on the same exploding $7 billion money pile. As Anthropic grows more and more powerful, its AI Doom Machine grows better and better financed -- louder and louder. Meanwhile, the regulatory regime seeded in METR grows larger to solve the increasingly loud -- now hysterical -- problem of AI Doom that the Anthropic Network itself created. From this standpoint, as Anthropic becomes more powerful, AI might be getting scarier, sure -- but the positive feedback loop also becomes more deafening -- independent of objective facts. This itself is an objective fact. The deafening AI Doom is part of an business model, that, as it expands, so too does the AI Doom messaging -- there is simply more money to do it. But the problem also goes in the other direction: If Anthropic dies, the Regulatory Regime and the AI Doom Machine are crippled or die. Neither METR nor Tarbell nor the other organizations in the Anthropic Network can allow that to happen. Hence, neither METR or the AI Doom Machine can be trusted to provide independent assessments of Anthropic's models or AI more broadly. They simply are not organizations independent of Anthropic. And Anthropic cannot detach itself from METR or Tarbell or countless other safety orgs (not shown here), either, because they drive hype for the models and the possibility of eventual regulatory capture, and Anthropic will not give that up willingly. What's more, the people at all of these organizations are all the same ecosystem, the same community. They just shuffle between organizations. The Anthropic Network is therefore, so long as it is successful, locked into a self-amplifying feedback loop inside an ideological monoculture. And that feedback loop is winning. That's what Jacob Coxon is. China is keeping messaging tight. That is why optimism for AI is so high in China. America has Anthropic: a massive company pushing anti-AI propaganda at a state level. Anthropic will either create hysteria until American AI slows down and China wins, or it will create fractures throughout American society with severe political consequences. Ironically, because of the structural financial incentives underpinning the Anthropic Network, it has become the same kind of self-amplifying virus that it fantasizes AI to become in the future -- while hiding its tracks just as carefully. It is the mirror of the same AI virus that it hypothesizes to consume America. Anthropic's business model, models itself after the very thing it claims to fear. Except Anthropic's ideology infects humans, not computers. Congress must investigate. Evidence and Github in next post. Then some supplementary figures.
5
28
2,075
Come-from-Beyond retweeted
The 4 #ai superpowers can try stop #AI but they are just wrong, meanwhile great news for Qubic #OpenScience #neuraxon by @VivancosDavid & @josesanchezhb with @c___f___b @_Qubic_ #aigarth continues improving at @arcprize #arcagi3 new best score 0.38 #nollm #nogpu just #bioinspired digital 🧠
30
150
487
33,021
We have got another confirmation that BPP9000 algo run on #Qubic is indeed capable of constructing a model of any asset price dynamics. We trained several models that were fed with data distorted with deliberately added noise. All these models improved the fitness function value on the data without the noise. In other words, our artificial neural networks see what affects the price and we can ask them to predict the future. We are keeping training more models to increase statistical significance of our observation.
39
209
793
33,004
Come-from-Beyond retweeted
this is Dario and sama's worst nightmare - A law firm buying Nvidia servers. Latham & Watkins is building an in-house AI stack.. this is US’s second-largest law firm with $8.3 Billion in revenue last year And now it has - - Nvidia hardware it controls - open-weight models it can fine tune - proprietary legal data it is trusted to protect - infrastructure only Latham employees can access A law firm has decades of contracts, negotiations, client context, legal reasoning, and institutional knowledge. They dont want to give all of that away to OpenAI or Anthropic in exchange for expensive tokens.. And on top of that - risk their data being used to train frontier models.. This will happen more and more now.. The big AI labs have no moat.. nothing protecting their largest customers from moving on.. The biggest companies in the world will - - own the compute - own the data - own the workflow - fine tune the model around their business - switch providers when the pricing or quality changes Dario and sama want to make this illegal by bringing in regulation.. and become the AI overlords..
Latham & Watkins, the 2nd largest US law firm, is buying Nvidia hardware to fine-tune open weights in-house. Open weights + proprietary data + local compute = enterprise sovereign AI stack.
355
1,889
13,594
1,343,207
Come-from-Beyond retweeted
Massive regulations are coming for open weight AI. They are going to take self-hosted intelligence away from us. This will create a permanent underclass, split society into rigid castes, and turn people into slaves to API tokens. No regulation will ever stop open source AI. We have to win this.
316
710
5,067
190,273
Come-from-Beyond retweeted
This is what Dario and Sama fear - - the cost of fine tuned open source models trained on custom data was 95% less than the frontier models - And they performed better than the frontier models - And they could train them in less than 48 hours The big AI labs have no moat.. Even at the enterprise level.. Any sane company would prefer a custom trained open source model instead of paying API pricing to Anthropic and Open AI If open source keeps growing at the pace it is, frontier labs' business collapses.. only way out is oldest trick in manipulation - FUD -> Fear, Uncertainty, Death Step 1 - Seed the psyop - Test a swarm of agents trained to "hack" - The swarm does what its supposed to do - hack - Publish a report - AI is too dangerous Step 2 - weed out the doubters - Get an employee to quit your company - Go viral saying both companies are not doing enough to self regulate AI - AI is dangerous - will kill humanity by the end of the decade Step 3 - Prepare for fruition - write an "essay" to "pace the frontier" - Advocate regulation - Only a few holier than though companies get to build AI - Scare the world into agreeing with AI Doom - Effectively turn your competitors into criminals (genius business strategy) Endgame - - Become a cartel that controls AI (and the world) - Raise prices (coz business is unsustainable... ofc) - IPO (offload liability of said unsustainable business to the public) Laugh all the way to the bank 🤑 Win!
.@L3HarrisTech says Palantir helped them beat frontier AI models in less than 2 days, at 95% lower cost: "When we fine-tuned open source models trained on our own data, we were able to outperform the frontier models in less than 48 hours." "The cost of our fine-tuned open source model was 95% lower than the frontier models we were using." "AI is a commodity. It's all about the data. We view our data as a corporate asset. It's our unique hard-earned knowledge." "We believe American defense companies should not be a vassal for frontier AI labs, handing over our data and institutional knowledge, hoping to rent back the intelligence it creates." " We own the model, we own the compute, we own the advantage."
211
1,614
7,997
813,036
Come-from-Beyond retweeted
☠️
95
508
12,628
1,402,857