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#ChronicallyUnderviewed Structured atom hypothesis.
What if the inner arrangement of atoms, in their proton-neutron containment, actually have a predictable structure? What would this mean for Low Energy Nuclear Reactions? #LENR #ColdFusion
youtube.com/watch?v=8_CCDD9e…
Replying to @JasonWilde108
yeah it's probably where the mantle ripped during a planetary-wide event, here's a long breakdown youtu.be/4hhE6tzJR_c?si=78ud…
but there are shorter eplainers too youtu.be/ZOT9PF7PP5k?si=Deae…
slomnim retweeted
Four different use cases:
SoV ledger: This is BTC, and to work it actually needs a low TPS, making transactions verifiable and also valuable enough to support the security budget.
Custom token ledger: This is ETH. To support creation of custom tokens via smart contracts, you end up relying on much bigger transaction volumes than BTC, precluding SoV and making PoS a better match for the security budget than PoW.
Mass payment ledger (for custom tokens): This is e.g. SOL. This use case is not exactly the same as for ETH - Ethereum places higher value on making custom token behaviors secure, SOL on making
transactions fast and cheap.
Mass compute layer: This is ICP.
If SOL and BTC are at opposite ends of the financial transactions spectrum, with BTC at ”few, expensive transactions” and SOL at ”lots of cheap transactions”, ETH sits somewhere in between.
But both BTC and SOL try to capture a cut of the financial transactions that they facilitate. ETH does that too, but also stretches out an arm in a different direction. More than BTC or SOL, it also hopes to charge to some extent for computation in smart contracts.
The idea is that these smart contracts are important enough that Ethereum can capture some of the value of the financial transactions and products they enable. The path to this is high gas fees, via relatively constrained block space (even though not constrained enough to be a SoV).
ICP stretches this arm out further, to target the mass compute use case much like SOL stretches its arm towards mass payments.
Compared to ETH, Ethereum can capture the very high value compute for which the high gas fees make sense, whereas ICP wants to capture the mass compute use case with lots of cheap (but secure enough) computation.
What this boils down to is that SOL hopes to capture a cut of decentralized mass payments, i.e. financial transactions, whereas ICP hopes to capture a cut of demand for decentralized mass compute. A lot of that compute may be only indirectly coupled to financial value - e.g. a perhaps ad funded forum where the transactions consist of users posting (most transactions on ICP are of this kind) - so the bottom line is that to be financially successful, ICP needs to process a lot more transactions than SOL.
The upside is that if the demand comes, ICP is built to scale.
ICP is designed to scale with demand by sharding into subnets where apps can run. When the subnets are full, we can just add more.
For a payment system this ability to just shard out is more limited. SOL may continue innovating at a good pace, but eventually you hit limits when shards with contradicting payment info must be forbidden. Eventually, no matter how good the SOL engineers are, they will run up against physics and be unable to increase their TPS without consistency concessions.
ICP won’t hit any such ceiling. It can just keep adding new subnets for new applications, just like we add servers to the Internet for new applications. It can scale its TPS with demand, ultimately to many, many multiples of the best payment processors, just like the Internet processes quite a bit more data than VISA could process payments.
That means that a comparison like in the quoted post isn’t really fair.
Yes ICP can do a lot more TPS than SOL, but it also needs to in order to be profitable. Given how much greater share SOL can capture of their financial transactions, if ICP and SOL are doing about the same TPS, that means SOL is ahead on revenue.
The ICP success case will come when the ICP staple dwarfs the other (payment processor) networks in TPS, making their staples just pixel high. But then it will also be obvious why it’s comparing oranges to apples, like comparing VISA’s and Mastercard’s bandwidth to the rest of the Internet’s.
The simple truth is that ICP is designed to handle huge demand, to handle much more than just financial transactions - any type of secure data processing, really - by targeting huge numbers of very cheap transactions, and we will only see it shine when the demand is huge. Right now, we’re in the period before that has happened.
But the graph still does show that so far, ICP’s shard design scales beautifully with the demand we have thus far, which is in fact a greater amount of processing than the payment systems. So far, so good.
The world’s most active blockchains list, curated by @chainspect_app, is quite interesting.
Here are the top five:
- $ICP
- $SOL
- hedera-hashgraph:native
- $XLM
- tron:native
People keep using these chains for a reason: speed, low fees, reliability and real utility.
But $ICP at the top stands out. The token still feels underrated, while the network’s actual usage is skyrocketing...
Why do you think $ICP’s utility has not translated into wider recognition for the token?
slomnim retweeted
Thanks Sabine
It’s not ‘pretty much’ every cell, it’s
EVERY cell has microtubules.
In Penrose OR, state reduction and a moment of phenomenal experience happens at time t = h/E where h is the Planck-Dirac constant and E the gravitational self energy of superposition separation. Basically the larger the E, the shorter is t and sooner OR occurs. And like photons we suggest the larger the E and shorter the t, the greater the intensity of the phenomenal experience.
In a random environment such experiences would be random, disconnected and merely proto-conscious noise. Like individual musicians tuning up. Brain microtubules are the orchestra for full, rich conscious experience.
There are about 10^20 tubulins (microtubule components) in a human brain. By t=h/E Orch OR suggests 10^15 tubulins (E) reach threshold at t = 10^-7 seconds, 10 megahertz (detectable from scalp)
10-7 secs is brief enough to avoid random decoherence but too fast for cognition. We suggest interference downshifts to kilohertz and hertz, generating the EEG. (After all these years we don’t really understand the EEG)
So if honeybees can have microtubules as central brain oscillators, why can’t we?
pmc.ncbi.nlm.nih.gov/article…
A kidney cell (which CAN have memory due to its microtubules) may have a thousand tubulins whereas brain neurons 100 million. So by t =h/E a kidney cell would reach threshold for experience only after 10^5 seconds which is a few minutes, prior to which environmental decoherence and randomness are likely to occur.
Another factor is that microtubules in neuronal dendrites and cell body/soma, and ONLY there in all biology, are interrupted and in mixed polarity antiparallel arrays. So for example in cortical layer 5 pyramidal cell bodies huge arrays of mixed polarity microtubule networks may entangle and collectively reach threshold at 10 megahertz to generate consciousness like a hologram. pubs.aip.org/aip/jap/article…
Evidence shows anesthesia selectively blocks consciousness, sparing nonconscious brain activities by quantum effects on microtubules. There’s far more evidence for Orch OR than all other theories combined.
So to answer your question about
what our ‘theory’ explains:
1) consciousness
2) EEG
3) memory pubmed.ncbi.nlm.nih.gov/2241…
4) anesthesia academic.oup.com/nc/article/…
5) evolution ( feelings came first)
sciencedirect.com/science/ch…
6) Dodeconography, 12 orders of faster EEG researchgate.net/publication…
6) nonlocality NDE, OOB, parapsychology, afterlife, reincarnation are possible at higher frequencies
7) Future AI based on warm temperature organic quantum gels
‘Brain jelly’ which run on extremely low power and will avoid LLM energy waste
iopscience.iop.org/article/1…
Replying to @StuartHameroff
pretty much every cell in the human body contains microtubules, so why then isn't my kidney conscious? I don't see what your "theory" is explaining
slomnim retweeted
For those wondering why Hollywood/media is pushing The Odyssey psyop so hard with fake Rotten Tomatoes review scores and critics/media articles gaslighting the public into thinking its actually good (trick into buying tickets) here is the real reason they are doing it:
slomnim retweeted
Replying to @bee_fumo
>Sue memory manufacturers for antitrust law bullshit
>US government takes money
>Gives it via subsidy to AI datacenters for Palantir and other government tech puppets
>They order more RAM contracts
lmao
slomnim retweeted
This is why mandatory ID verification is a terrible idea.
@LinkedIn AI just restricted my account for reviewing connection requests too quickly and flagging me as a bot.
Imagine an AI banning you for life. If your real ID is tied to that profile, you're locked out forever.
slomnim retweeted
🧵There’s no such thing as “taking the country back”
That’s a scam sold to you by grifters online who are farming you.
They ragebait you 24/7. You get outraged and waste tons of time watching trash slop. And they become rich and famous. That’s the arrangement.
It’s the *exact same mechanism* as the mainstream media. But much more effective bc people haven’t woken up to the fact that it’s just mainstream news in disguise.
The elites are 20yrs ahead of what you see in your feed on a regular basis (read that again) - the future is preprogrammed
The *main* political influencers (in most every country, on all sides) are actors playing a role. They are essentially scammers, and their shitcoin is their zero-value ragebait content.
You WILL BE psyopd into the shadow realm if you don’t ultimately detach yourself from political propaganda. Or find smaller, authentic channels/commentators.
The goal is to radicalize and divide the masses
This platform is HEAVILY BOTTED. These people have a FRACTION of the “followers” they pretend to have.
I said the same about Crypto Twitter in 2021/2022. And it took a few years but I’ve been vindicated.
Same with politics. Except they are even more botted and astroturfed.
Max 10% of the public is regularly on this platform. What you see on here is NOT representative of popular opinion in the real world.
That’s the scam. Artificially inflate certain people and narratives. To make people believe what they see matches real-world public opinion.
Worked the same in Crypto. lol people BELIEVED L1s would (somehow) host Web3 solely bc those accounts and narratives were being artificially boosted to create that reality.
Even though it’s not technically possible lol *people still believed it* bc those accounts/narratives filled the feed. THATS how easy it is.
Social media (especially Twitter) has turned into a giant brainwashing operation. Designed to melt your brain and strip you of your critical thinking skills.
I would be very *intentional* about your information consumption moving forward. Psychological warfare will only get worse over the next few years.
Replying to @DrJackKruse
@DrJackKruse Out of curiosity, do you have an opinion or awareness about the Structured Atom Model? Seems to be an appropriate model for biological transmutation structuredatom.org
There's longer form lectures diving into the idea more thoroughly, however this particular slide is from this video by The Thunderbolts Project youtu.be/48tDb7bTaZc?si=mh77…
slomnim retweeted
Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏
Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from opencloud.org.
Main points:
— Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network (internetcomputer.org) but are selected and configured by the cloud engine's owner.
— The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud.
— Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI.
(The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.)
— Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others.
— New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries.
— Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory).
— An expanding database of skills at skills.internetcomputer.org shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on caffeine.ai can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free.
— Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further...
— You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still...
— Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom.
— Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost.
— Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures).
— For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently.
— Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too.
Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030.
After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology.
In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that.
Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments.
It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines.
Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world.
Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models.
We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪
I'll be back with more news soon!!
slomnim retweeted
May 3, 2001 the Supreme Court ruled 5-4 in Kyllo v. United States that warrantless thermal imaging of a home violates the 4th Amendment. Majority (Scalia, joined by Souter, Thomas, Ginsburg, Breyer) ruled that using thermal warming tech to reveal interior home details requires a search warrant. Key privacy win against government surveillance tech. #SCOTUS
Heyo! I want to share some alternative findings in the quality-light-product space
I know this probably isn't everyone's cup of tea, however raoptics.com and getchroma.co look like good systems. I've used Chroma's Sky Portal for a year+ now, and recommend
slomnim retweeted
Robert F Kennedy Jr - "We shouldn't be talking about Glyphosate, we should be talking about Roundup"
"If you read all of these documents that we've gotten [and] see all the sneaky stuff they do.... "
KENNEDY - "Even in their most private emails to each other.. they're talking about how nobodies ever tested this and we know that the formulation is much, much more toxic than Glyphosate ... [it's made to] slip through the bark of the plant [and] those same chemicals also enable that molecule to penetrate the blood brain barrier".
🚨🚨🚨 BREAKING - Donald Trump bypasses Congress by attempting to provide immunity to cancer-causing glyphosate manufacturers!!!
Glyphosate causes cancer according to several court rulings. In a gift to the big pharma/big ag industry, Trump has just tried to unilaterally block state laws and court rulings that allow liability for cancer from glyphosate manufacturers.
Glyphosate is found in Roundup, which is produced by a subsidiary of Bayer Pharma. MAHA has been fighting with Congress for months to prevent them from inserting chemical immunity into various bills. When the GOP failed to deliver, Trump stepped in and did it for them.
@RealAlexJones @VigilantFox
I don't understand? I'm here on X trying to talk about subjects I love like electrical biology, quantum-light-biology stuff, ICP and decentralized systems, etc
And now I was account-checked to see if I'm a bot? And now, some kind of label on my account??
Just shouting this out in confusion because I do pay for X and all of my comments are my own. Not sure what's going on here
Atoms are internally structured, and this gives them their chemical properties
youtu.be/6IUWNexcVxI?si=tRji…
@TheProjectUnity I think you might enjoy what this lecture is about here
youtube.com/watch?v=6IUWNexc…




























