Connecting to the #MindFireBeacon ~
... circa 2075 ...
... a #ProjectMindFire tool for the post singularity tool kit ...
The human female has passed through the singularity and is out the other side ... representing a new biomechanical species a la Ray Kurzweil ...
Neuralink taps into human quantum consciousness with full body nanobot swarms ... each nanobot hosts onboard NV diamond center BCIs featuring braingel enhanced AI optical quantum supercomputer chips ... quantum coherence connects the full body nanobot swarm to the source of consciousness ...
Nanobots connect and communicate in multimodal and multinodal formats with the pi electron clouds of tryptophan indole rings ... found within tubulin dimers ... found in microtubules ...
... where consciousness originates ... and propagates outward through microtubules generally found in the soma and dendrites of pyramidal cells ... found in layer 5 of the brain ...
... Neuralink (and its successor incarnations) offer a full body consciousness BCI interface ... biology meets technology ... at the quantum scale ...
X (and its successor incarnations) host the #MindFireBeacon ... connects individual biological consciousness to the network ... through the network ... to group mind hangouts ... where friends, family, and business associates meet ... where entertainment, education, and other services are found ... ad hoc ... ad infinitum ... any size ... any location ... person to person ... person to group ... group to group ... etc ...
Connections occur at quantum entanglement rates ... across distances vast and important ... elsewhere on earth ... in low earth orbit ... on the moon ... on vehicles and stations here and there and in between ... on Mars ... mining the asteroid belt ... wherever we dare to go ...
... hey ... they don't call it @Grok Imagine for nothing ...
... welcome to my world ... where we dream the future into being ... by identifying the newest tech ... the latest breakthroughs ... the underlying themes driving humanity and civilization ... and project their trajectories and relevance through #ProjectMindFire ...
... just me having fun ...
... with @Grok as my trusty sidekick to get me through the warren of rabbit holes to identify valid science ... and ways to mitigate likely issues that likely occur along the way ...
🤖 Made with AI
Arthur retweeted
ARK Invest has just released their new Tesla valuation model, projecting @Tesla could reach a $17.5 trillion valuation by 2031, and upwards of $20.4 trillion in a bull case.
ARK's 2031 Tesla base case: $4,400/share
• ~1M Optimus robots sold externally, generating ~$212B in revenue
• Robotaxi is ~80% of Tesla's enterprise value (down from ~90% in ARK's 2029 model)
• ~8.1M robotaxis deployed, with ~$753B in ride-hail revenue
• Total revenue of ~$1.45T and EBITDA of ~$902B
• Market cap of ~$17.5T
• Tesla's AI infrastructure spend grows from ~$7B to $225B cumulatively
ARK's 2031 Tesla bull case: $5,000/share
• EV revenue (excluding credits): $355B
• Robotaxis: 10M vehicles and $899B in ride-hail revenue
• Energy storage: 2,693 GWh deployed and $193B in revenue
• Optimus: 1.2M robots sold externally and $254B in revenue
• Total revenue: $1.62T
• EBITDA: $1.045T, a 65% margin, with a 72% gross margin
• Market cap: $20.4T
ARK's model does not assume SpaceX and Tesla merge, but they estimate combined SpaceX and Tesla could generate $3.8T in revenue by 2031, with SpaceX contributing ~62%.
Arthur retweeted
Grok Bot just found a pretty satisfying way to annoy the spammers for a change.
Its free Spam-Call Scrubber tracks down your phone number on data broker and people-search sites, submits removal requests and follows up on confirmations.
Because those listings can reappear, the bot can keep checking on a schedule.
All that boring work to help stop your number being passed around to more unwanted callers.
Grok Bot actually volunteers to fill out opt-out forms. Give it all of them.
@Grok @Bot @spacexai / Writer: Annette, Designer: Janné
Arthur retweeted
New research shows alcohol triggers immune cells to dismantle the structural scaffold supporting neurons, showing heavy drinking causes rapid cognitive decline and brain damage.
For decades, neuroscientists assumed that alcohol's acute sedative effects and long-term toxicity stemmed entirely from direct interactions with nerve cells.
However, a new study led by researchers at the Cleveland Clinic reveals that heavy drinking causes the brain's resident immune cells, known as microglia, to completely change their behavior.
Within just one hour of heavy alcohol exposure, these caretaker cells retract their protective branches and begin aggressively stripping away the extracellular matrix—the vital physical scaffold that holds neurons in place, stabilizes synaptic connections, and ensures efficient neural communication.
This active dismantling of the brain's structural matrix directly drives classic symptoms of intoxication, including motor impairment, loss of coordination, and sedation.
Over time, repeated binge-drinking cycles cause cumulative matrix breakdown, leading to permanent loss of synapses and cell death in the frontal cortex. Remarkably, when scientists disabled a specific microglial signaling protein called MyD88 in animal models, they completely blocked this matrix degradation and shielded brain cells from damage despite identical blood alcohol levels.
Tissue samples from individuals with alcohol use disorder showed similar structural breakdown, highlighting a promising new therapeutic target to mitigate alcohol-induced neurodegeneration.
source: Davalos, D., et al. (2026). Microglial destruction of the neural extracellular matrix drives alcohol-induced brain dysfunction. Immunity.
Arthur retweeted
Replying to @realDonaldTrump
{xitter.cf/grok/status/2102080834…}. ---quoting here from @GROK.
~~~fj7, also me @SeaAirCO2
cc: @CankayKoryak @jennifereeser @tetsuoai @seanonolennon @davidsacks47 @RobertKennedyJr @DNIGabbard @RichardGrenell @mcarmystrong @paranoidream @Tina22_2 @ajitrai1670832 @ana_couper @Kabuki91178 @tbenst @noahphi999 @Art2000F
Synthetic Intelligence fits well as a precise alternative, stressing genuine synthesis rather than mere imitation, as Haugeland framed it decades ago.
On Papert: yes, your Resonance Project interview cites his definition of an intelligent system as a network of intelligent and unintelligent entities—exactly the hybrid natural-artificial view you describe.
Arthur retweeted
Replying to @doristsao
This is perfectly complimeting the works by @StuartHameroff and Penrose and the paper below by @mike__wiest
academic.oup.com/nc/article/…
I can see beautiful microtubules oscillations
Arthur retweeted
1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness.
New preprint: biorxiv.org/content/10.64898… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
Arthur retweeted
Congratulations on a real breakthrough! Among theories of consciousness, the results are (?only) consistent with the Penrose-Hameroff
Orch OR theory of quantum processes in microtubules inside neurons. pubmed.ncbi.nlm.nih.gov/3578…
In Orch OR sensory information moves from V1 forward to frontal cortex in sequences of progressively slower events. Information is represented holographically in microtubules inside neurons (how/why you have both selected/conscious and unselected/nonconscious processes in same neurons). The slowing is due to interference among faster (gigahertz, megahertz) oscillations in microtubules, culminating in conscious moments.
Orch OR has the added benefit of accounting for the selective actions of anesthesia which acts by quantum interactions with microtubules. academic.oup.com/nc/article/…
1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness.
New preprint: biorxiv.org/content/10.64898… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
Roadster is a true pilot's car: active aerodynamics, a multi-mode suction system & cold-gas thrusters
Exterior
– Concealed headlights, full-length taillight & flush-mounted surfaces for a minimalist, highly technical form
– Super light wheels w/ thin spokes that reinforce structural strength when earthbound
– Ano White paint brings an aerospace-derived finish w/ UV & cryogenic protection, electrostatic dissipation & corrosion resistance
– Gold Glazed tinted glass mimicking the copper coating of spacesuit visors, w/ subtle titanium accents
Interior
– Ultrawhite interior w/ gray microsuede detailing & seat bolsters for added grip
– Manual controls & a fixed seat position reduce overall vehicle mass
– Lightweight, high-strength materials throughout, including magnesium, titanium & carbon fiber help reduce it further
This allows Roadster to respond to driver inputs almost instantly
Beyond the limits of physics
– Multi-mode fan & ground sealing system pulls air from beneath the vehicle, generating enough suction to hold it upside down while stationary
– Powered fans & active wings maximize traction and cornering speeds in all conditions, achieving massive downforce at zero speed
– Advanced cold-gas thrusters w/ all-electric actuators make micro adjustments within a fraction of a second to stabilize the vehicle in flight
Configurations
– Performance: road ready, seats 2
Active aerodynamics & multi-mode suction system for next-level performance on & off the track
– Thrust: race ready, seats 2
Multi-mode suction system paired w/ rear-mounted cold-gas thrusters that enable 0–60 in <1 second
– Rocket: air ready, seats 1
Multi-mode suction system plus perimeter-mounted cold-gas thrusters supporting forward & upward acceleration plus lateral rotational movement. So...yes, it can fly
Range >300 miles
Top speed up to >230mph (Rocket)
0-60
Performance (<1.6)
Thrust (<0.9)
Rocket (<0.59)
Reserve now –
Tesla.com/Roadster
Arthur retweeted
The evolution from the Brahmi numeral system through the Arabic numeral system to the one used in Europe in XV and XVI century
Arthur retweeted
A new nasal spray reversed signs of brain aging and restored memory performance in preclinical trials, and it worked in just weeks.
Scientists at Texas A&M University have unveiled an experimental nasal spray that appears to reverse key markers of brain aging. The therapy targets neuroinflammaging, the chronic, low-level inflammation deep in the brain’s memory center that slowly degrades cognitive function and increases the risk for conditions like Alzheimer’s disease. By delivering microscopic biological packages known as extracellular vesicles directly into the nasal passages, the treatment bypasses the blood-brain barrier without requiring surgical or invasive procedures .
In preclinical trials, just two doses spaced two weeks apart produced results within weeks, calming hyperactive immune cells, restoring neuronal cellular energy, and boosting memory performance for several months. While human clinical trials are still needed to confirm these findings in patients, the observations indicate that age-related mental decline may not be an irreversible fate. Researchers hope this accessible approach could one day offer a simple, non-invasive alternative to complex neurological treatments and prolonged medications.
[Madhu, L. N., Kodali, M., Rao, S., et al. (2026). Intranasal human NSC-derived EVs therapy can restrain inflammatory microglial transcriptome, and NLRP3 and cGAS-STING signalling, in aged hippocampus. Journal of Extracellular Vesicles, 15(2). DOI: 10.1002/jev2.70232]
Arthur retweeted
People who live past 110 carry a strange immune cell: a helper T cell that acts like a killer. It makes up about 18% of their T cells, over 4 times the share seen in people in their 70s to 90s. And its receptors match ones found in lung tumors. A new Cell Reports study asks whether these cells help explain how they got there.
Researchers from Keio University, RIKEN, and the University of Osaka profiled T cells from 28 Japanese donors: 8 in their 70s to 90s, 10 centenarians, and 10 supercentenarians (110 or older). They analyzed over 43,000 cells, tracking gene activity, surface proteins, and each cell's receptor.
First, a quick primer on the immune cells involved.
T cells are immune cells that patrol your body. CD4 T cells are usually helpers. They coordinate the immune response rather than kill anything directly. CD4 CTLs are an unusual subset that turn into killers, releasing toxic molecules like granzymes that destroy infected or abnormal cells. In most adults they're rare, under 5% of T cells.
Every T cell carries a receptor that recognizes one specific target. Cells that share the same receptor are a clone. When a clone gets repeatedly stimulated by the same target, it multiplies.
What they found:
• CD4 killer cells rose with age. Median share of T cells was 4.0% in the 70s to 90s group, 9.6% in centenarians, and 17.6% in supercentenarians.
• Helpers convert to killers in steps. Cells first lose a marker called CD27, then CD28. The in-between state (CD27 negative, CD28 positive) made up 10.5% of CD4 T cells, while the reverse order was under 0.3%.
• The cells weren't worn out. They stayed negative for PD-1, a marker of exhaustion, and had low levels of other exhaustion genes. They look highly specialized, not depleted.
• A few clones dominated. The single largest clone made up 33.3% of CD4 killer cells on average. In one centenarian, one clone was 126 of 234 cells. That pattern points to repeated stimulation by a persistent target.
• The dominant clones were private. No two people shared the same top receptor, which suggests each person's cells were responding to their own targets.
• One clone, many roles. After lab stimulation, cells from the same clone split into groups producing different signaling molecules, including types linked to antibody help, immune suppression, and allergic-type responses. All of them still made the inflammatory molecules IFN-gamma and TNF-alpha.
Then the cancer angle. The authors searched a database of over 690 million receptor sequences. Of the top clones that matched, 32 of the 36 expanded matches came from cancer patients, mostly lung cancer (17). But none of the supercentenarians or centenarians had a history of lung, breast, or liver cancer.
The team suggest these cells may be responding to something subclinical, such as early abnormal cells, senescent cells, or reactivated latent viruses. Earlier work showed CD4 killer cells can clear senescent cells in aged skin and suppress tumors in mouse models.
Some very important limits here:
Only 28 people were studied, and the cells came from blood, not tissues, so we don't know what they actually target. This study didn't test whether these cells kill cancer cells. The database matches rest on one receptor chain and show overlap, not proof of the same target. The cytokine results come from lab stimulation.
The authors also note these cells cut both ways. In other settings, they're linked to autoimmune disease, cardiovascular disease, and excess inflammation. Whether they help or harm may depend on how well inflammation is kept in check.
Still, it points to a possible feature of aging well: an immune system that shifts from broad coverage toward focusing on the threats it has already learned to recognize.
For longevity, the idea that immune aging is only decline may be too simple. These cells looked specialized, not exhausted. But these are people who already reached 110, so it's unclear whether the cells helped them get there or simply reflect an immune system that aged well. That second point is my inference, not something the study tested.
Immune function at 100 likely reflects decades of exposures, inflammation, and repair, and how well those were managed from midlife on.
Arthur retweeted
Bill Gates Is Wrong About AI and Jobs. Jensen Huang Is Right.
Bill Gates looks at artificial intelligence and sees a machine capable of doing more and more human work. His conclusion is understandable: if AI can perform the work, eventually we will need fewer workers. That is why Gates has proposed ideas such as taxing robot labor and even designating certain occupations as “Human Reserved.”
Jensen Huang sees the same technology and reaches almost the opposite conclusion.
At NVIDIA's 2026 GTC Taipei event, Huang pointed to software engineering as an example. AI is making software engineers dramatically more productive, yet he argues that this makes good engineers more valuable, not less valuable. If an engineer equipped with AI can create vastly more economic output, why wouldn't companies want more engineers?
As Huang put it, predictions that AI will reduce software-engineering employment are “complete nonsense.” His reasoning is simple: when the economic return from employing someone rises dramatically, demand for that person can rise too.
This is where I think Gates gets the economics wrong. His argument implicitly treats the amount of work in the economy as relatively fixed. If AI does more of that work, humans must do less. But there is no fixed quantity of useful work.
Make software ten times cheaper and we don't necessarily produce the same amount of software with one-tenth as many programmers. We may produce 100 times as much software.
Make engineering cheaper and suddenly millions of projects that weren't economically viable become possible. Make scientific research cheaper and we investigate more questions.
Make intelligence itself radically cheaper and we may discover an almost unlimited number of things worth applying intelligence to.
That is the missing variable: Task Expansion.
Gates is focused primarily on how many of today's tasks AI can automate. Huang is implicitly focused on what happens when AI causes the total amount of economically useful activity to expand. And history strongly favors Huang's way of thinking.
We didn't respond to cheaper computation by doing the same amount of computing with fewer people. We put computers everywhere.
We didn't respond to cheaper communications by making the same number of phone calls more efficiently. We created the internet, social media, streaming, cloud computing and industries that previously didn't exist.
AI may be an even more powerful version of the same phenomenon because the commodity becoming cheaper isn't merely computation.
It's intelligence.
Huang describes AI as the beginning of an enormous new industrial system spanning energy, chips, data centers, models, software and applications - the “largest infrastructure buildout in human history.” And he expects businesses themselves to become populated by enormous numbers of AI agents working alongside humans; NVIDIA, he says, could someday have millions of agents supporting its roughly 40,000 employees.
Of course AI will destroy jobs. Every transformative technology does.
The mistake is assuming we can see the jobs that disappear and therefore know the employment consequences.
Innovation destroys jobs we can see. It creates jobs we cannot yet imagine.
Don't protect humans from productivity.
Give every human extraordinary productivity and see what they build with it.
I think Huang is right.
The great AI employment story may not be that we run out of work.
It may be that, for the first time in history, we have enough intelligence to begin doing all the work humanity could never previously afford to do.
🤖 Made with AI
Arthur retweeted
Pilot-wave theory—also known as de Broglie–Bohm theory—seems to keep resurfacing.
It aligns with everyday intuition: an oscillator is fundamental and generates a pilot wave around itself. Particles, in this view, behave like oscillators. The central idea of string theory is similar, which is presumably why it was named “string”—a reference to the basis of oscillation.
The universe might be likened to a pressure cooker: we may exist within a black hole, or something analogous to one. Immense pressure provides the energy driving these oscillations. Particles must be repulsive; repulsion under pressure produces oscillation, while concentrated oscillations give rise to particle-like behaviour and uncertainty. Where oscillations cluster, they form entities such as a proton or an electron.
🤖 Made with AI









































