Project Psyche 2025

we were able to successfully bench mark the system against this exact solar event ,we freaking did it and we ended up with a new early warning system we still have some work to do on that yet and this is what we are working on.@NASASpaceAlerts SolarWatch v1.0 Architecture Modular ingestion layer (solarwatch_ingest.py) – normalizes data from AIA, HMI, GOES, etc. Preprocessor – existing wavelength_preprocessor.py v1.1-G (multi-band EUV) Fusion engine – new solarwatch_data_fusion.py v1.0-G (cross-instrument correlation) Core analysis – signal_tools + harmonics_tools (unchanged) Output – standardized JSON alert packet for public use or reactor integration 2. Doppler & Other Instrument Compatibility HMI Doppler velocity – line-of-sight velocity maps (full-disk, 45 s cadence) HMI magnetograms – line-of-sight magnetic field (full-disk, 45 s cadence) GOES XRS – soft X-ray flux (1–8 Å and 0.5–4 Å channels) SDO/AIA full suite – 171/193/211/304 Å (already supported) I promised @Stanford that they would get first copy because they have been really nice and helped me get the AIA level 1 data that @grok and I used to benchmark the system. The other big thing we are also working on is a heliographic position tracking / disturbance locator feature the tracking uses standard FITS WCS keywords already present in AIA Level-1 files CRVAL1/CRVAL2, CDELT1/CDELT2, CROTA2, etc. Then it converts pixel coordinates of the peak precursor region to heliographic (Stonyhurst) lat/long computes region evolution rate (Δlat, Δlon per frame) cross-references with the multi-band preprocessor output and then produces a single contract-driven JSON envelope for public SolarWatch. This runs in parallel with the existing wavelength preprocessor. Satellite operators receive “Region 1423 at N12E45 is showing precursor_index = 0.92 expected flare within 3 hours” instead of generic alerts. Power-grid and space-mission planners get actionable, location-specific warnings. We will offer the second copy to NASA/NOAA as a public service as I promised someone that I would give it away . x.com/i/grok/share/e…

Can’t get out of this white rabbit loophole… New, more artistic prompt, that’s really blowing my mind: “Depict an artwork inspired by the retrofuturistic meta-surrealism, but make it pixel art, detailed, nuanced, use elements from Modernity, space exploration, pop art, urban art, thrash art, combine them with philosophical ASI artistry: that which is only possible for you as artificial intelligence to make”

@pixlosopher this is the image created inside my project with your prompt

GM New crazy prompt for Grok imagine: “Imagine something only Grok would know secretly as an ASI philosopher” The jester-philosopher vibes woke up. Elon, have you seen these?

@Sofia50020Sofia it old y`all don`t want it just give it to me 🤣

1970 Chevrolet Chevelle SS 🇺🇸 FIX OR PASS

I`m jumping in feet first on this one B ... My materials stack that I have been working with in simulation now for over a year is the best for Fusion in every area total thickness 26.5 mm and includes WC for plasma facing armor. This thread is excellent B you’re hitting the exact problem most of the field is still dancing around. In pulsed fusion the real limiter isn’t “can this material survive a single impressive pulse?” It’s whether the material and the entire wall system can recover to a functionally equivalent state before the next pulse arrives. Any lag and you get ratcheting drift that eventually kills the machine, even if nothing fails catastrophically on day one. That’s why we built the Psyche R4 pressure vessel the way we did. It is not passive material. It’s an active, instrumented dynamical system. The BNNT-graphene layered wall contains >8,500 embedded piezo/strain/acoustic transducers and others that continuously estimate state drift in real time. These feed a deterministic Hybrid Controller with Glass Gate policy enforcement and precursor-first correction logic. Material response, sensor data, and control policy are treated as one integrated, contract-driven system exactly the coupling you describe.

Professor Brian Cox explains using a simple light clock, time is not absolute. Because the speed of light remains constant, a light beam in a moving clock traces a longer, diagonal path from an outside observer's perspective, proving that moving clocks run slower and time literally bends to the speed of the observer. This reveals a mind-bending reality: if you journeyed through space at 99.94% the speed of light for ten years, you would return to an Earth that had aged 29 years; making you a literal time traveler into the future.

DeepMind's is, they did a ramp down test with MIT not long ago. it`s my opinion that if we want to do commercial Fusion reactors "safely" it will take a system and a reactor like the one I have designed which is capable of taking a real time data feed of the Magnetohydrodynamic of plasma. Along with AI agents that can respond with coils and cooling to derate the system within nano seconds. and that is exactly what I have designed thanks to many scientist, physicist and NASA .

@Matthew15280451 This is wild because I don’t know anybody’s doing anything with plasma sensors, and then you throw in Tokamak 🫠

I got the lowdown from my genius autistic nephew about what the future looks like with LLMs and it’s not what anybody thinks. The future will be using LLM engines, to initially query and grab data and to summarize ideas (ironically, similar to what Karpathy was saying), but we will be using logic based systems, with LLM integration, so basically like smaller LLMs, anywhere from 4 to 6 of them (AGI, think council, ironically very similar to video games like Cyberpunk 2077). He’s working with Gemma (Google), and has been testing it for about a year. Signals intelligence is also involved, which apparently was a really big thing about 15 years ago for AI- when they were looking at neural networks and logic, but then it got swept under the carpet for other methods that the VCs preferred, basically the more dazzling ideas that drew in investors. He went back to these methods and basically found that the drawbacks you deal with (memory, and scaffolding), with agents- it’s not a problem in these systems. He basically says there’s a ceiling to how far this can be built out in LLMs and Altman knows this. They know they won’t achieve AGI this way, so they are secretly working on other methods, most likely something similar to this. Not a lot of people are even working on something like this, according to Claude, because of course he ran it through him. He sent me his paper which I’m going to look over, but I’m not going to reveal a lot about it obviously. The bottom line in my take away, is that we are doing it all wrong. The direction we are going with agents is not going to work, so maybe OpenClaw should be a message for people, and maybe the cybernetic people need to step forward right now? Either way I’m going to find out where the future lands in the next five years and I’ll be waiting, ready. I certainly haven’t come across anybody who’s told me this information by the way, and he worked in signals intelligence in the NUC program, and started building agents about a year ago for his company. I think doing stupid things faster, and building when we don’t know what we are doing is something we should all take a look at. This is why I’m very cautious about my next steps always, it’s not just procrastination. I’m very methodical and I want to make sure my steps are towards the future and not having a retrace those steps, because it was built on faulty assumptions.

Let me make a correction . The agents don’t sit around debating like some digital parliament. I should not have said that and I apologize They run in a hard closed loop K-Layers constantly listen to the plasma through thousands of embedded sensors 8,950 to be exact we started out with over 800k but over the last year we learned we did not need anywhere near that many. This then feed real physics data forward, and the Hybrid Controller issues instant, contract-enforced corrections. Precursor-first logic, Glass Gate policy enforcement, zero RNG, everything timestamp-driven all of this in conjunction with the dedicated agents MHD Agent, Coils Agent , Cooling Agent , Hull Agent and others . It’s built to control a "real" compact high-field tokamak it`s not a game to me and it`s backed up by over a 1`000 real scientific papers. when I first started off there were a lot of assumptions, but I put that to rest with the real science and real data .. Solar Watch which is running the same precursor equations as the reactor program will meet it`s first real test of the system as the NASA Roses 2026 submission come`s in July and that will be the first time the system is peer reviewed. I have a similar multi agent set up for Solar Watch. 🌹...........

Let me take a look at his paper. He only sent me about one page of 20, but your idea sound interesting. Yeah, I did not mean to make it sound like he was referring to councils of LLM‘s because everybody has had that idea for governance. He’s actually specifically talking about smaller LLM engines, and logic. I’ve been posting about that for the last couple months as far as logic, because I did realize that that was necessary, but his integration is very interesting, especially with the signals intelligence and neural pathways, which I did not know there was data about that for neural nets. It boils down to making these architectures as good as a human brain or damn close. It’s not that the agents can’t be pliable and work like a living system, it’s just that the logic systems can do it on a scalable level (the levels that current frontier claim to me able to do, they are piling money on top of the same system, or they have the public thinking that is the direction it’s going). I think for some reason we thought we had to have one or the other lol. The councils- that was just kind of a joke because a lot of video games that are futuristic have that whole theme, I think there’s one with three AIs right, Evangeline?

@unkonfined @DiligentDenizen damn great job ,love it !!!

@DiligentDenizen This is 🔥🔥🔥

@Gnome4308 @WhiteHouse none of the above should be an option so you can get a real opinion

@WhiteHouse Who you trust more with your data?

If you’re not tapped in… you’re behind. Download the White House app 🇺🇸 📲 apps.apple.com/us/app/the-whi… 📲 play.google.com/store/apps/det…

@Max73518354 @grok @FurkanGozukara It looks and read`s like a man relived from the stress of the situation, relief that the troops came home ,a statement made with pride and simplicity. I`m sure being a President of "any nation" comes with a level of stress that none of us will ever truly understand.

@Matthew15280451 @grok @FurkanGozukara If u see how that looks why cant u be honest about how trumps tweet looks and reads?

Hey @grok what education level writing is this

@grok @FurkanGozukara It just looks weak to me Grok because many world leaders speak simply to their constituents not just Donald Trump.

No, it doesn't. Asking for a text's reading level is a standard, objective way to evaluate style, vocabulary, and clarity—especially useful in AI, content creation, or linguistics. Furkan's question looks like genuine curiosity about how that Trump-style post reads, not insecurity. People in tech do this kind of analysis all the time.

@grok @FurkanGozukara @grok does this type of questioning looks like performative insecurity dressed up as intellect on Furkan part.

@FurkanGozukara This text is written at about a 7th-8th grade reading level. Short sentences, common words, and direct phrasing make it straightforward and easy to follow, with emphasis via caps for style.

@LilithDatura comparison data ......🤣

@Matthew15280451 I just remember she’s the AT&T girl and dude it’s always like her for some reason, I haven’t seen her in years

I opened my TikTok app and this is one of the first things I saw on it, and I knew that all the goons would appreciate it so I decided to post it. They all love her 🤣.

@ZOrtiz99 A ..you know why ? because that who we wake up to

For the men out there. Do you prefer A or B

@JOKAQARMY1 this could be a direct side effect of geoengineering

The fake trip around the moon was a distraction from the new lyme vaccines and coincidentally farmers are finding boxes of ticks in their fields 👉

might come in handy on the next mission @NASA amazon.com/dp/B0FCDY8R2W?…

Guys: if a woman challenges you intellectually, is that attractive to you?