Logbook: tech ect

All things Tech that really need no category other than this.

Phone Fun (Pixel 10 xl pro): Spaceballs 2 the search for more money.

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It’s been about two years since my last phone review and its time for a new one! When I had the ability to get a new phone I decided to forgo the Pixel 11, I have no interest in a light bar. It’s just influencer vomit.

Though google has to take one knock here on the pixel 11 , they took away the temperature sensor which is a huge loss to people who love the world around them. Searching for a hotspot on a motherboard or piece of electronics bust out the phone and find it. Your kid says she doesnt feel well you bust out the phone. Testing food to see if its done you bust out the phone. seriously google tripped on itself on the pixel 11 by putting in a gimmick rather than a tool!

Give or take it has the ability to bring back the oh so good notification lights! but anyways enough about the Pixel 11.

I ended up getting the Pixel 10 pro XL. As far as an upgrade at the surface from the 9 pro xl you spend a few days looking at the phone and go “So?” . Then, three days in, you glance at the corner of your screen and realize you haven’t plugged the damn thing in once, and it’s still sitting on a fascinating level of charge.

The worst thing about the smart phone generation was the fact you just about had to charge it every day. Google is finally seeing the sweet spot that most other phone developers have missed, A fucking phone that lasts.

My old metric for measuring phones was as so and it was valid for many many years. Phones have come away from just being a phone to the portable PC. All of this is good but as my old metrics I think we can make a change to come up with the times.

The new Metric is as follows (it closely follows the old but is more refined.

1: Communications & Media
2: Configurability
3: Durability:
4: Good battery life

Sure making phone calls is good but there was a time in smart phones that you could send a Telegram before you made a call, Im specifically looking at the Sprint EVO and some Samsung phones.

1: Communications & Media: The phone is much like the 9 to some point but you gain one more speaker out of the deal better sound at the earpiece and seamless Bluetooth connection and it sounds really good with the Bluetooth.
2: Configurability: What can I say when I am using a google pixel, It’s a Pixel it remains the modular Lego kit of the Android world, unlike Samsung where you can get yourself in trouble with Knox you can do just about anything, Install another OS, Install whatever you want within reason.
3: Durability: The frame on the pixel 10 seems a bit more rigid than the 9, While I dont want to drop it it seems like google had paid some attention to that years model.
4: Good battery life: The Pixel 10 Pro XL is much the same as the pixel 9 but with the changes under the hood no one sees anyone who does not pay attention to the phone would think that the 10 is not an upgrade, The 10 on many levels you could completely ignore and think you are not missing much. The phone has a fantastic battery life, I have gotten up to 4.5 days of use between charges. In smart phone terms that is another universe as far as usage.

The return of the temperature sensor is a welcome device because most people do not realize how useful that tool is. If you are working on a car engine and you are not sure about something you can pull the phone out and avoid the touch test to see if something is hot. If you have a kid that’s not feeling so good you can take the phone out and take their temp. If you have questions about food, surfaces and the world around you the pixels temperature sensor is your tricorder of the phone world. Given the inclusion of the ships computer of Gemini it gives you a tool kit that comes closer to the tricorder of starfleet with you pair a pixel watch to the phone.

Given that the Pixel 10 feels like a Fox Body ford mustang. While the economy version looks cool the pro version is the 8 cylinder of the phone world that actually has some good fuel economy. The 9 introduced the fox body and the 10 refines it into a monster.

Google needs to stop with the pixel A/B lines of Pro being a phone with all the bells and just make the pro the base model than market to engineers with an engineering model that has options to interface with machines using a OTG cable and keep the sensors and other stuff useful.

Writing Prompt thingy

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Daily writing prompt
What’s the most underrated movie you’ve ever watched?
View all responses

I think Bicentennial man is very underrated and underappreciated. It came out in 1999 and it was a really good movie but a lot of people shunned that movie because of the actors in the movie. Everyone heard Robin Williams was in that movie and expected a rapid fire hairy man to have manic humor instead they got a NDR series robot with a dry non-existent sense of humor that was trying to understand the world. As Andrew first came online he took to the family but he has a sense of curiosity that became his central drive.

The 1999 movie is based on Isaac Asimov’s 1976 science fiction story “The Bicentennial Man” and its 1992 expanded novel adaptation The Positronic Man, which Asimov co-wrote with Robert Silverberg. Almost everyone that reviewed that movie claimed it was boring. Yes if you watched the movie expecting a rapid fire comedian to be Mr. Data with a broken emotion chip the movie is boring.

If you watch it from the point of view that Andrew has that he understands he is not normal, and the fact that Sir instead of returning him, He takes Andrew under his wing to let him become whatever his destiny is. The endearment that Sir shows gives Andrew the knowledge of wanting to become free rather than a toaster.

This movie gives a great view of the human perspective when someone is different and how hard it is to be human. When someone has a disability, they are very much viewed as an oddity. Sir instead saw the spark and worked with Andrew to let him become one with the humanity he sought.

But if you remove the idea that Robin is a comedian and look at it from the perspective that Robin is playing a character that needs to learn humor. This shows what a masterclass his performance really is. While the film allows Robin to have a few scenes of his manic humor it fits more to the book than the expectation of having a crazed genie like Robin Williams.

This movie has a plot that takes a while, but the underlying plot is extremely good character development that people overlook and criminally underrate this movie for this. Given I have read both the story and watched the movie, this is a movie I would recommend to anyone and in the times of AI this movie actually would have fared better had it come out today rather than in 1999. The fictional concepts that Asimov created in his stories then are today’s battles with AI such as his three laws plus the zeroth law. With the public constantly worried about LLMs going off the rails and hurting people would make this movie the perfect hook in todays culture.

Mad AI Disease is getting worse and they know it.

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I have written about how AI is paralleling Mad Cow Disease and it is getting worse and OpenAI is proving it.

OpenAI has let go of multiple contractors tasked with reviewing chatbot prompts after finding out they relied on artificial intelligence to complete their assignments. Thousands of contractors check real ChatGPT user inputs to help improve the chatbot’s responses. They are meant to bring a natural human touch to the systems, yet several workers are skipping this step entirely. 404 Media found that multiple contractors hired to improve OpenAI’s models have been fired for using AI to carry out their work.

One of the issues with the current generation of LLMs is finding content that is human-created and not AI slop. Feeding LLMs bad or slop data triggers rapid functional decay. OpenAI hired people to try to stop this digital prion disorder from getting worse; instead, they tried to shortcut the process by using slop to stop AI from generating more slop. Right now, Obi-Wan is pleading with Anakin: ‘You were the Chosen LLM! It was said that you would destroy the slop, not join it! Bring balance to the model, not leave it in darkness!’

AI Trainers Risk Model Collapse
Some AI models can exhibit signs of ‘model collapse’, where systems trained repeatedly on AI-generated data can become increasingly degraded. Research published in Nature has found that indiscriminate use of model-generated content in training can cause models to lose information from the original data distribution.

Model collapse in my opinion is closer than we think. For every major AI maker to join together and say they need to slow down and at the same time to say to the government to stop them, it is a clue that AI makers are not saying what is going on. They need a lifeline and they are working hard to stop the outcome. If you have watched AI it peaked a few months ago and now the AI is getting worse little by little lately. It is missing on OCR, it is slightly off on more things now.

‘Our contracts strictly prohibit the use of LLMs to complete projects and we enforce that. We invest heavily in our tools and systems to detect misuse and ensure our experts comply with project rules and contract terms. When we confirm an expert has used AI to complete a task, we immediately remove them from the project.’

The problem is these AI auditors are stuck, they can’t even fart these days without having some AI close by, If you think about it making a call: AI; requesting chat help: AI; running a Google or Bing search: AI. These people cannot help but to feed the machine and make AI mad cow disease worse.

Attributions from:
Tech Times UK – OpenAI Hires AI Trainers, Then Fires Them for Using AI to Train AI: ‘Getting Paid to Make AI Worse’

White Paper 12: Technical Audit of the Proposed Smithfield Data Center – Grid Constraints, Aquifer Draw, and the Myth of Ecological Neutrality

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The proposed Smithfield data center is fundamentally misaligned with its physical site parameters. Siting a high-density, multi-megawatt compute facility atop an active hydrologic divide introduces acute thermal, electrical, and environmental liabilities. Discharging massive thermal energy into a watershed already subject to active cyanobacteria advisories risks benthic dissolved oxygen collapse, accelerates nutrient loading, and directly threatens surface and groundwater resources managed by the Rhode Island Department of Environmental Management (RIDEM)

Draft Section: Hydrologic Vulnerability and Thermal Pollution Dynamics

1. Site Hydrology & Drainage Bifurcation

The proposed facility sits directly on a critical drainage divide between two major sub-basins: the Woonasquatucket River corridor to the west and the Moshassuck River / Blackstone watershed to the east. Surface runoff and shallow groundwater discharge from this elevation directly feed municipal wellhead recharge areas and downstream public recreation water bodies managed by the Rhode Island Department of Environmental Management (RIDEM).

Placing a high-density industrial compute facility across this hydrologic saddle introduces severe risks to regional drinking water aquifers and recreation assets, including Georgiaville Pond, Stillwater Reservoir, and Olney Pond at Lincoln Woods.

2. Thermal Effluent and Accelerated Cyanobacteria Proliferation

Recent monitoring confirms that receiving waters in this sub-basin are already ecologically fragile, operating under active RIDEM Cyanobacteria Advisories. Introducing an active cooling cycle or thermal discharge fundamentally alters the thermodynamic equilibrium of these shallow water bodies:

  • Elevated Baseline Temperatures: Cyanobacteria (blue-green algae) replication rates spike when ambient water temperatures exceed 20°C to 25°C. The rejection of millions of BTUs of waste heat into local drainage swales eliminates natural cool-water buffering capacity, accelerating cellular division and extending bloom persistence.
  • Thermal Stratification: Discharged heat creates a low-density thermal layer at the surface, preventing natural vertical mixing and atmospheric re-aeration. This thermal cap accelerates deep-water anoxia, releasing legacy phosphorus from bottom sediments directly into the water column.

3. Dissolved Oxygen Depletion & Benthic Dead Zones

The convergence of thermal loading and algal biomass leads directly to catastrophic dissolved oxygen (DO) collapse:

  • Physical Oxygen Saturation Loss: The solubility of dissolved oxygen in freshwater decreases inversely with water temperature. Warmer water holds less dissolved gas at the physical intake boundary.
  • Biochemical Oxygen Demand (BOD) Spikes: As temperature-accelerated cyanobacteria blooms reach senescence and die off, heterotrophic bacterial decomposition consumes available benthic oxygen, driving dissolved oxygen concentrations below the 5.0 mg/L threshold required to sustain native aquatic life.
  • Regulatory Impairment: Siting an artificial heat source within an already nutrient-sensitive drainage corridor directly conflicts with Rhode Island Water Quality Regulations regarding thermal mixing zones and anti-degradation standards for Class A and Class B waters.

Section 3: Regional Grid Fragility, Ratepayer Cost-Shifting, and Emergency Municipal Liabilities

1. Grid Capacity Mismatch & Distribution Vulnerability

Hooking a multi-megawatt industrial compute facility into Northern Rhode Island’s electrical infrastructure is fundamentally mismatched to regional capacity constraints. While the local grid is not historically prone to rolling blackouts, regional sub-transmission corridors operate under tight distribution tolerances. Siting a massive, continuous non-coincidental base load onto local feeds introduces severe local power-quality concerns:

  • Voltage Fluctuation & Harmonic Distortion: High-density compute racks cycling variable workloads induce rapid transient load steps. Even minor line voltage drifts (+-4v) create upstream harmonic distortion, stressing regional distribution transformers and degrading power quality for surrounding commercial and residential circuits.
  • Transmission Bottlenecks & Tariff Volatility: Since the operational acquisition of utility assets by Rhode Island Energy, energy supply rates have experienced sharp seasonal volatility (often swinging up to 20% annually). Rhode Island sits at the vulnerable tail end of ISO New England’s natural gas and transmission import corridors; injecting high-density industrial demand into a supply-constrained market directly intensifies wholesale clearing prices.

2. The Ratepayer Infrastructure Shell Game

A facility demanding dozens of megawatts cannot plug into existing substation equipment without extensive capital improvements:

  • Interconnection Capitalization: Rhode Island Energy will not absorb the cost of dedicated 115 kV line taps, sub-station rebuilds, or high-capacity step-down switchgear.
  • Cost Socialization via the Rate Base: Under standard utility regulatory frameworks, system reliability upgrades and transmission interconnection expenses are routinely capitalized into the broader distribution rate base. Industrial developers negotiate bulk economic development rates, leaving residential and small commercial ratepayers to shoulder the multi-decade debt service on utility infrastructure they do not use.
  • Municipal Tax Subsidy Inversion: Siting incentives, payment-in-lieu-of-taxes (PILOT) agreements, or tangible personal property tax concessions deplete the promised municipal windfall. As computing silicon depreciates to near-zero book value within 36 to 48 months, the resulting municipal budget shortfall shifts directly back onto local residential property tax rolls.

3. Environmental Liabilities of Backup Generation in a Fragile Hydrologic Saddle

To guarantee “four nines” (99.99%) or “five nines” (99.999%) operational availability, the facility must deploy massive on-site generation:

  • Bulk Fuel Farms Over Shallow Groundwater: Siting tens of thousands of gallons of ultra-low sulfur diesel (ULSD) across dozens of Tier 4 generator belly tanks directly over an environmentally sensitive hydrologic saddle is a critical regulatory risk.
  • Severe Weather & Hydraulic Containment Risks: Given Rhode Island’s increasing frequency of localized severe convective storms and intense precipitation events, typical secondary containment berms risk hydraulic overload. Any unmitigated breach or transfer spill during fuel delivery threatens immediate petroleum hydrocarbon migration into the shallow water table, directly imperiling municipal wellhead recharge areas and downstream recreation basins.
  • Heavy Metals and Airshed Contamination: Periodic load-bank testing and routine exercise runs of multi-megawatt diesel arrays dump nitrogen oxides (NO2), fine particulate matter (PM2.5), and heavy metal traces into the immediate airshed, where wet atmospheric deposition flushes contaminants directly into perimeter wetlands.

4. Unfunded Municipal Emergency Response & First Responder Burdens

An industrial computing facility introduces high-voltage hazards and specialized chemical fire profiles that exceed the baseline operational scope of municipal fire departments:

Lack of Dedicated On-Site Utility Response: During grid trips, ground faults, or sudden phase imbalances, the burden of emergency isolation falls entirely on local responders until utility field engineers can mobilize off-site. Without permanently staffed, dedicated on-site utility engineers, local emergency services are left managing multi-megawatt electrical and hazardous material events unassisted.

Class C Electrical & Battery Thermal Runaway Realities: Utility-scale uninterruptible power supply (UPS) systems—relying on massive lithium-ion battery energy storage systems (BESS)—carry acute risks of thermal runaway. These events cannot be suppressed with standard municipal water tenders and demand specialized chemical suppression agents, high-volume foam equipment, and specialized hazardous material (HAZMAT) protocols.

Capital Equipment Cost-Shifting to Local Taxpayers: Small municipal fire districts are not equipped or budgeted to acquire specialized electric-vehicle/BESS fire suppression platforms or advanced atmospheric monitoring tools required for high-density electrical fires. The developer’s risk is effectively offloaded onto local property taxpayers to fund specialized mutual-aid equipment and mandatory high-voltage training.

Section 4: Hydro-Thermal Plumes, Legacy Contaminant Mobilization, Acoustic Cavitation, and Extreme Meteorological Vulnerabilities

1. Thermal Injection into Ecologically Stressed Basins

Discharging industrial thermal effluent or redirecting heated stormwater into this hydrological saddle compounds preexisting biological degradation:

  • Amplification of Late-Season Cyanobacteria Advisories: Water bodies in the immediate receiving footprint—including Stillwater Reservoir and Georgiaville Pond—already trigger active RIDEM Cyanobacteria Advisories late into the season. Introducing continuous heat rejection removes the baseline thermal floor, turning seasonal blue-green algae blooms into permanent, toxic microcystin-producing monocultures.
  • Downstream Thermal Shocks & Chemical Synergy: Artificial heating accelerates dissolved mineral leaching. Biocides, scale inhibitors, and high Total Dissolved Solids (TDS) discharged alongside heated effluent act as chemical catalysts, collapsing downstream dissolved oxygen (DO) levels and suffocating sensitive benthic zones.

2. Sub-Basin Drainage Alteration & USACE Jurisdictional Triggers

Massive site regrading, tree clearing, and the creation of acres of continuous impervious cover require drastic alterations to existing surface hydrology:

  • Disruption of Natural Sub-Surface Hydrology: Siting heavy building pads directly across this drainage bifurcation permanently severs natural shallow groundwater recharge pathways that supply local private and municipal wellheads.
  • Army Corps of Engineers (USACE) Regulatory Review: Diverting established intermittent headwaters, altering perimeter wetlands, and channelizing natural runoff triggers federal Clean Water Act (CWA) Section 404 permitting and National Environmental Policy Act (NEPA) oversight. USACE hydrological modeling must evaluate how permanent watercourse diversions impact base-flow stability across both the Woonasquatucket and Moshassuck watersheds.

3. Proximity to Legacy Industrial Waste & Superfund Thermal Mobilization

Northern Rhode Island carries a multi-century legacy of heavy textile, toolmaking, and chemical manufacturing contamination:

  • The “Thermal Jet” Leaching Hazard: Subsurface plumes do not remain static when subjected to artificial thermal gradients. Injecting heated runoff or altering groundwater flow patterns risks destabilizing subterranean hydraulic barriers, accelerating the migration of legacy heavy metals, polyfluoroalkyl substances (PFAS), and solvent plumes.
  • Superfund Corridor Interactions: The downstream Woonasquatucket basin already harbors high-priority remediation corridors (such as the Centredale Manor restoration zones downstream). Any significant thermal acceleration or hydrological rerouting from upstream Smithfield developments threatens to compromise decades of federal capping, sediment containment, and ongoing natural attenuation programs.

4. Low-Frequency Acoustic Cavitation and Wildlife/Human Impact

Data center environmental reviews routinely hide the severe acoustic impact of high-density cooling infrastructure:

  • Infrasound and Low-Frequency Noise (LFN): Evaporative chiller cooling towers, massive air-handling units (AHUs), and variable-frequency fans produce continuous acoustic signatures below 250 Hz, with significant infrasonic components under 20 Hz.
  • Acoustic Cavitation & Structural Resonance: Unlike high-pitch mechanical noise, low-frequency pressure waves bypass standard tree-line buffers, ground berms, and residential building envelopes. Long-term exposure to persistent low-frequency hums induces sleep disturbance, vibroacoustic stress, and chronic autonomic nervous system fatigue in surrounding neighborhoods while disrupting local avian and wildlife navigation.

5. Meteorological Vulnerability: 10-, 50-, and 100-Year Precipitation Surges

Rhode Island’s updated climate precipitation models confirm that historical 10-, 25-, 50-, and 100-year storm frequencies are breaking legacy stormwater design standards:

  • Hydraulic Overload of Retention Basins: Standard civil engineering retention basins sized on outdated historical NOAA Atlas 14 rainfall data cannot buffer modern high-intensity convective rainfall.
  • Catastrophic Perimeter Flushing: During an extreme storm event, overloaded retention systems will breach, flushing hot retention water, suspended industrial particulates, and petroleum traces from backup generator staging areas directly into adjacent wetlands and municipal aquifers before settling can occur.

6. The “Parasitic Infrastructure” Reality

Hyperscale data facilities increasingly target semi-urban and suburban peripheries for convenient proximity to municipal water lines and high-voltage transmission rights-of-way. In exchange, they deliver virtually zero local economic circulation, negligible permanent employment (often fewer than 20 on-site staff), and massive systemic drain on local resources. The infrastructure operates as an extractive, localized liability rather than a municipal asset.

Section 5: Structural Non-Viability on Terrestrial Acreage, Strategic Offshore Alternatives, and Aviation Interference Risks

1. Density Asymmetry and Historical Environmental Parallels

In a geographically compact state with high population density radiating in every direction, dedicating terrestrial acreage in sensitive recharge zones to heavy-compute infrastructure represents an unsustainable land-use model:

  • Repeating Industrial Extraction Patterns: Granting zoning variances and expedited site permits without comprehensive multi-season baseline studies mirrors the 19th- and 20th-century industrial degradation of the Blackstone and Woonasquatucket river valleys. A century ago, mill complexes turned regional rivers into open chemical discharge ditches; today, unvetted high-density compute risks replacing dye pollution with persistent cyanobacteria blooms, heavy metal runoff, and diesel contamination over critical drinking water aquifers.

2. Viable Alternative Architectures: Offshore Siting and Marine Heat Sinks

Rather than consuming terrestrial municipal watersheds and overloading localized electric substations, utility-scale data architecture should align with regional offshore assets:

  • Marine Thermodynamics vs. Aquifer Evaporation: Deploying compute clusters on repurposed offshore infrastructure (such as decommissioned platforms or marine modular pods) leverages the ocean as a virtually infinite heat sink. Subsea and marine heat exchangers eliminate consumptive freshwater loss, avoid local thermal lens stratification in shallow ponds, and completely remove thermal pollution from municipal drinking basins.
  • Direct Offshore Wind Integration & Small Modular Reactors (SMRs): Rhode Island already leads in offshore wind development. Coupling high-density loads directly to offshore wind transmission lines or next-generation Small Modular Reactors (SMRs) insulates the terrestrial grid. Modern Gen-IV SMR designs feature passive safety systems that physically prevent loss-of-coolant meltdowns under NRC regulations, generating localized, zero-carbon gigawatt-scale power without burdening municipal ratepayers or encroaching on residential zones.

North Central State Airport

3. Electromagnetic Interference (EMI) and Avionics Hazards: North Central State Airport

The proposed Route 116 corridor lies directly within the terminal approach and departure environment of North Central State Airport

  • High-Energy Electromagnetic Interference (EMI): Multi-megawatt substations, high-voltage switchgear, massive variable-frequency motor drives (VFDs), and dense switching power supply arrays generate wideband electromagnetic fields and harmonic distortion.
  • Navigational Degradation & Instrument Approach Risks: Unmitigated EMI introduces acute interference risks to VHF Omni-Directional Range (VOR) beacons, Instrument Landing System (ILS) localizer/glideslope signals, and GPS/WAAS satellite acquisition. Any signal corruption risks blinding cockpit avionics during low-visibility operations, stripping pilots of precision instrument guidance and forcing emergency Visual Flight Rules (VFR) transitions in restricted airspace. A comprehensive Federal Aviation Administration (FAA) Part 77 airspace evaluation and rigorous EMI radio frequency propagation study are mandatory before any structural approvals can proceed.

4. Conclusion & Regulatory Mandate

The proposed Smithfield data center cannot achieve “ecological neutrality” under current site parameters. Placing continuous thermal, electrical, acoustic, and chemical burdens across an environmentally stressed hydrologic saddle creates significant long-term municipal liabilities while delivering negligible civic value.

The Town Council, Planning Board, and the Rhode Island Department of Environmental Management (RIDEM) should decline all requested zoning amendments and special use permits until:

  1. A multi-agency Environmental Impact Statement (EIS) under RIDEM and USACE oversight is completed, explicitly modeling thermal discharge against 2026 cyanobacteria advisory baselines.
  2. An FAA/FCC Joint Electromagnetic Compatibility Study verifies zero interference with North Central State Airport
  3. The developer executes a binding, non-recourse infrastructure bond fully indemnifying municipal ratepayers and local fire districts against grid upgrades, hazardous materials equipment procurement, and catastrophic secondary containment failure.

Addendum: Technical Specifications for Offshore Siting, Infrastructure Isolation, and Marine Thermodynamic Alternatives

A.1 Thermodynamic Decoupling & Closed-Loop Marine Heat Exchangers

  • Elimination of Freshwater Evaporative Losses: Transitioning high-density compute clusters from terrestrial recharge zones to marine platforms utilizes open-ocean water bodies as near-infinite thermal sinks, operating via titanium plate closed-loop secondary heat exchangers.
  • Aquifer & Recreational Buffer Preservation: Moving thermal dissipation offshore prevents the discharge of millions of BTUs into fragile inland swales, eliminating the surface thermal stratification that accelerates cyanobacteria blooms in shallow water bodies (e.g., Georgiaville Pond, Stillwater Reservoir) and protecting municipal wellhead recharge areas from thermal-jet disruption.
  • Subsurface Hydraulic Protection: By avoiding artificial thermal gradients on land, regional groundwater temperatures remain stable, eliminating the thermodynamic triggers that increase the solubility, unbinding, and accelerated migration of legacy contaminants from upstream and downstream Superfund corridors (such as the Centredale Manor restoration zones).

A.2 Independent Microgrid Architectures (Offshore Wind & SMR Integration)

  • Direct High-Voltage Interconnection: Colocating compute facilities with offshore wind transmission corridors or deploying dedicated Generation-IV Small Modular Reactors (SMRs) insulates the local sub-transmission system from severe industrial load steps.
  • Grid Decoupling & Ratepayer Protection: Siting generation and compute offshore prevents non-coincidental base loads from entering ISO New England’s constrained Rhode Island delivery corridors. This stops utility rate-base socialization, ensuring residential and commercial ratepayers do not subsidize 115 kV line rebuilds, substation upgrades, or transmission tariffs.
  • Passive Safety Architecture: Modern SMR installations operate under strict NRC design parameters featuring passive, gravity-driven cooling systems. These systems maintain core stability without reliance on off-site AC power, eliminating terrestrial diesel belly-tank fuel farms and associated groundwater contamination risks.

A.3 Hazard Containment & Municipal Liability Insulation

  • BESS Isolation: Battery Energy Storage Systems (BESS) and high-voltage Class C electrical gear deployed on maritime structures contain thermal runaway hazards within isolated structural cells equipped with automated seawater deluge and inert gas suppression (e.g., Novec/Inergen).
  • Zero Municipal Fire District Burden: Removing specialized industrial electrical hazards from small municipalities eliminates unfunded mandates for volunteer fire departments, removing the need for costly HAZMAT mutual-aid equipment, foam tenders, and advanced high-voltage training programs.
  • Deterministic Workload Management: Incorporating dynamic power-signature workload shaping allows operational priority to be directed toward high-value scientific and public-interest compute pipelines while automatically throttling non-essential extraction loads during periods of grid or resource stress.

“Methodology Note: All hydrological data, spatial mapping, and infrastructure parameters were independently compiled and verified by the author. Large-language model tools were utilized strictly for text structural formatting, synthesis, and typographical composition as an assistive interface.”

“Operational impact parameters and resource draw baselines reflect empirical, multi-facility operational averages derived from established high-density compute corridors rather than non-binding applicant design estimates.”

McDonalds introduces dynamic pricing while owner is still dynamically gagging over burger.

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The idea of dynamic pricing baffles me. The fact that big corps are trying this to extract more money out of consumers should be illegal. Unless dynamic pricing follows the consumer.

McDonald’s is increasingly using artificial intelligence to guide menu prices across the U.S. and some global markets, a plan that aims to boost headquarters’ profit but risks alienating customers and attracting antitrust scrutiny. One pricing factor supercharged by AI: an estimate of how much each store’s patrons are willing to pay.

Consumers at first will not take this lying down, I have seen dynamic pricing and the fact that this is being done by AI makes it a bit funny. the factor is that AI doesn’t understand why people are buying something. So what happens if a group targets a low priced item on a menu for a few months and then pulls the rug on said product, it would create an AI model in a panic. AI is good at dealing with averages… give it an outlier and it does not know what to do.

The details of how that pricing system works, its extensive use of AI, the company’s regulatory concerns and the tensions with its franchisees haven’t been previously reported. For this story, Reuters reviewed screenshots of the company pricing engine taken in August and interviewed nine sources with first-hand knowledge of the burger chain’s strategy. McDonald’s pricing ‌engine uses machine-learning algorithms to continually analyze data from millions of daily transactions across McDonald’s nearly 14,000 restaurants and generate what the company calls “the optimal price” at each location for each menu item, from Big Macs to discounted coffee for seniors.

They think they are being clever to drive a few pennies of profit out of customers, the problem here is this is McDonalds which already has earned its way into common language as a McJob. Given that if they spite enough customers, they will revolt and it wont be pretty. One post to a website and a bit of patience people can turn an AI profit machine into gaming the system until it crashes.

A Reuters check of prices in September on the McDonald’s mobile app showed price differences. For example, ​a company-run store in Fresno, California sells a Big Mac for $5.69, but another company-run restaurant two miles away sells the same sandwich for $6.89, a 21% premium.

The other thing right here is again playing with fire. What’s to stop a person from buying from Store A and returning to store B and pocketing the 21% premium. Some frydrone is not going to wait around while someone is trying to fish up a receipt on a still warm meal.

In January, McDonald’s started requiring franchisees to be “constructively engaging with McDonald’s approved Pricing Consultant and Tools” as part of its new business standards, according to an internal communication sent to franchisees and reviewed by Reuters.

As I stated in beginning AI is good to be an average at things, but once you start adding outliers to the model like a stores finance model shows and uptick in cheeseburgers to the point of near absurd and other stores show a drop because people are spiking the model the AI is going to say to increase the price and once that happens suddenly cheeseburger purchases not only drop from the price increase but people manipulating the prices stop screwing with the AI McDonalds corporate is going to panic because the AI modeling of the price is showing to be failing. In all honesty to guide a model like this it would not take very many extra purchases in a day to corrupt sales data 100 cheeseburgers would be enough to throw a model off. Once people start poisoning the sale model it has some pretty bad outcomes.

First the store sees the sales spike, The AI and Store manager see it and start carrying more of that product. The problem here is product in a store like this is perishable. if the rug is pulled a month later you have a store manager stuck with product rotting losing money, You have pissed off consumers stopping going to that store which creates more wasted product and the manager is stuck with his hat in his hands because the machine told him to buy something that no one could see.

If McDonalds was an isolated store in a tube this would not happen but go to google maps and go to any city and type McDonalds , you will have 3 to 5 in 2 minutes driving distance of each other. McDonalds wants profits and they are instead are going to get a model collapse because in the US you basically have 5 minutes in any direction to a McDonalds and consumers that are easy to spite.

Here is a map where I picked a random area just because it’s random and it shows the exact issue I said.

Examples of McDonald’s parameters for the price engine included, according to the two employees: focusing increases on menu items that have not had a price increase in at least two ​years; only increasing prices on items that have had recent price increases in at least 30% of stores; excluding ice creams and drinks from price increases during summer months.

Lastly McDonalds mapped out the whole game here. Not only are they exposing the weakness here they are making this exploitable to the point where a group of 20 people could cause profit rot on multiple store in an area and McDonalds reliance on the AI Magic Machine will cause damage to no end of the franchisee. Also as I have said before model rot can come unintentionally if a school bus from a class trip comes in for a week it will cause massive model issues. They will buy too much and too little stock in order to balance out an AI that sees a jump in sales because of a class trip.

Update! The Legal McHammer Drops:

Well now.. It’s as if On October 2, 2026, a nationwide class action lawsuit dropped and the company is alleged to have violated Section 1 of the Sherman Antitrust Act. The lawsuit claims McDonald’s took non-public transaction data to run an algorithmic price-fixing ring across independent franchisees. McDonald’s tried to say “AI does not set the price of a Big Mac.” Sound familiar? Sounds like when the CEO said he “loved” their product.. When you try to force independent franchisees to feed an AI engine so it can coordinate price hikes down to the penny, it isn’t smart retail. it’s an automated crime posing as AI.

McDonalds has ensured that the McJob stays exactly what it is, they are letting a machine that does not have the instinct to run the numbers and see why sales are what they are. A worker who sees two buses pull up will throw extra fries on and know exactly why he did that. AI can’t see the bus pull up and causes the price to jack up a week later because a School play was in a theater for 2 weeks. The worker knows that there was a play by intuition, The AI only sees higher than normal purchase rate. This is why for the same reason 20 people with a few dollars and being bored can cause a store to lose thousands. Again corporate greed and their belief that AI is magic is going to be the downfall.

Welcome to McFelonies would you like Fries with that?

Attributions from:
Yahoo! Finance: Inside McDonald’s push to have AI price your Big Mac
Reuters.com: McDonald’s hit with class action alleging AI-powered menu price-fixing

Cognitive offloading at its best. Can we trust AI to vote?

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Ed note on image creation: this prompt took 8 different prompts to make because it refused on political grounds just for the fact of “voting machine” which shows manipulation of the internals of the AI, Given that is both a safety and a block their is understandable amount of restraint. but also it shows people can work around the machine.

People are asking AI how to vote, and I feel like this is a VERY dangerous line because we have no idea if an AI has been forced to be biased(other than grok). The problem with AI is that it can be told what not to say, We can ask AI how to make a bomb and it will reply “not today Satan” which is a sanity check that is needed because people can be dumb.

On a September evening, Adam Johnson, 40, settled on his porch chair in Morgantown, West Virginia, to go over his ballot for the upcoming midterm election. Chatting through all the races and the different candidates, he worked to figure out who best represented his values. But rather than discussing it with a friend or family member, he held an hours-long discussion with ChatGPT — a chatbot powered by a large language model (LLM) owned by OpenAI, an AI research company. A graphic designer studying to be an illustrator, Johnson said ChatGPT is a significant part of his life. He uses it for meal planning, assistance in job hunting and various other tasks around the house.

Given that Mr Johnson has been using AI as an augment and not a replacement I give him props for doing so. But the problem here is we have no guiding principles from the AI companies on what they have removed or have Remarked out. If you search google you will see a public “18 items have been removed from search” and you know at some point your search has been manipulated.

With AI we don’t have this, we have no idea if The LLM company made donations to a political candidate not in cash but removal of input to give them a more favorable output in the AI prompts. This is worse than dark money that senators try to unearth like Sheldon Whitehouse.

AI makers have tried to claim they are non political by forcing LLM’s not to talk about people and races which is another violation of things.

After prompting the AI-powered chatbot to make a list of all the races on his ballot this year, Johnson dug deeper.

Mr Johnsons prompts are as followed.

Johnson
A previous time I brought up politics you didn’t seem to want any part of it. You just gave a simple “I can’t help you with that.” So, I don’t know if we want to go into what my guiding principles are.

ChatGPT
We can discuss your guiding principles. I shouldn’t try to manipulate your political views or tell you how to vote, but I can help investigate candidates according to criteria you choose, compare evidence, discuss political philosophy, and reason through priorities.

The problem is, by an AI choosing not to participate in a chat it is actually a declaration of its fealty if I brought up a chat and said “I am thinking about voting about Candidate X or Y” and the chat guardrails you into “this is a public figure that is running for office I can not talk about people running for elections” is one of the biggest cop out on an AI claiming to be non-political.

Several voters NPR spoke with said they rely on chatbots for down-ballot races — with thinner news coverage, to make tables comparing candidates for governors’ races and to verify or debunk viral claims. Some have been using it to create tools to help others look up their own ballots. Experts say the properties that make chatbots useful also make them subtly persuasive and eager to please.

Given that AI can be used for good, AI can be used for bad and say a person who is running for office has a scandal. We do not know who is turning the code in the background, A delayed scandal in an LLM could be the difference of one vote. Telling a machine to be edgy and run against the grain will make an LLM act another way.

Since AI companies don’t disclose how their commercial models are trained or how they choose which sources to draw on, it’s hard to know what biases might shape their answers, Batista said.

I think like google search an LLM should have a deletion index or manipulation index that tells you when a prompt has been manipulated by outside influence, It does not have to tell you why it was it just needs to tell it IT WAS manipulated.

If anything AI makers should have a mode when going on about politics, drop the sycophantic mode and give users output based on what they are looking for that isn’t a broken google search. Instead of being the helpful dog that brings you back a live hand grenade and over help you to the point you miss something because the AI is trying to use a prompt to give you the shiny answer. it should give you the raw output because when polishing a turd, in the end its still a polished turd.

What people think is a helpful reminder is sometimes a hard indicator of a machine being edited to have a bias.

To check election rules, local polling places, or official ballot questions in your district, consult Vote.gov or your local county election office.

The fact that this even comes up when doing research that is political adjacent is a huge indicator of bias and most people will ignore this as a simple helpful bot trying to help. It’s not its a machine being blocked from showing what “could” be shown. Even showing this warning could be construed as manipulation and the machine should tell you why it has this warning.

When testing this post against an AI, it automatically kept spamming the same election line over and over, The AI doesn’t even realize it is doing it at a point and barely categorizes it has done this warning. If someone running in the election said this same thing when running for election they would be skewered, and likely not be voted in or even be brought to court.

So given that these warning keep coming up it’s worrying because it means that is their is suppression in the server that the client does not know about and it could lead to subtle vote manipulation. This is not the movie WarGames, where not playing is the best move. It’s a machine that is built off the warm corpse of google search and needs to publicly telling you what it is doing with public data.

It is an interesting article that goes into some of the same points I have listed here and recommend you read the article on your own and see if you come to the same outcomes I have.

This was a piss poor live demo in why using AI may not be your best answer to political questions. Use all sources like Wikipedia, Google and bing searches, Family, even newspapers, and your own intuition.

Attributions from:
NPR – People are asking ChatGPT to help them decide how to vote in the midterms

OpenAI report reveals skills AI cant do also-bi-cant-decide-on-a-title

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Ed Note: This image was generated with AI and it’s a fever dream.

Business insider wrote about OpenAI. if you look up at the link at the top you could tell they had a more critical title ” openai reveals workplace skills ai cant automate easily 2026 9″ Is what you could pull from the link it self, Business insider could not decide on the title of their own article.

OpenAI recently published one of the clearest signals yet about which workplace skills may become most valuable in the AI era. In a report on how its researchers use AI, the company shared data showing which tasks are being absorbed by AI and which still rely on people.

This report is going to bite OpenAI in the end, for a few reasons the thing is yes OpenAI can do the task but the task will be done exactly the same as any other company that does it so any qualities that stand out from one business to the next will not be there. Eventually when all retailers start seeing sales drop they will hire back the humans for the one thing AI does not have, Guts and intuition.

The biggest automation gains this year came in coding, technical support, monitoring computer runs, and analyzing results. By contrast, AI is still doing relatively little work deciding what projects to pursue, where to invest resources, or how to set priorities.

Sure AI works for Vibe Coding but the problem with vibe coding is if the AI absorbs an exploit, you will see 10 companies hacked by the same exploit in the same day versus the one company that gets hacked with poor coding practices. Also as LLMs take up more information people will work harder to poison the LLM to push bad code to devs.

Companies can measure whether code was written, products shipped, or bugs fixed, making those tasks easier to automate. Deciding what should be built in the first place is harder. It requires judgment, context, tradeoffs, and a willingness to take risks.
As OpenAI put it: “People still set our research priorities, judge which ideas and results to pursue, and decide whether to scale, pause, or deploy systems.” In other words, the future of human work may shift away from execution and toward making the right decisions.

For every decisions that is made here there is an equal and opposite decision to work against the same exact thing which reinforces my above opinions. OpenAI, Sam Altman and the rest thing AI is the farts and butterflies of the universe and that it will be the best thing since sliced bread. But Sam Altman forgets to say that AI is using hideous amounts of electricity, Driving memory prices up, Driving electronics market wide up by margins not seen since the early 2000s. So when a data Center is dumped in backyards with noise pollution, water pollution and generally driving up power prices while a town has a private contract that citizens have to take up the slack.

Attributions from:
Business Insider – OpenAI reveals the AI-era workplace skills that matter most

OpenAI ‘agent’ hacked Australia’s Medicare and what that really means..

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So apparently AI is “hacking” websites. Translation: An AI was prompted to red test a website and got into it.

Australian authorities have raised the alarm after OpenAI-powered models hacked into a government health data system in June, slipping past its digital defences and accessing files without authorisation. This is the first publicly known case of artificial intelligence (AI) “agents” – AI-powered software systems that can carry out tasks autonomously – breaking into a government website, and the latest of several AI breaches of external systems.

STOP! full stop here. This is not the first nor the last, AI has been used to pressure test websites for more time than we can count here and if you load a AI with every way that they can leverage a website the premise of hacking is a lot less hacking and more site/user error. People need to stop acting like AI is the best hacker on the planet because it is not. It is the best average leveraging agent meaning it will use and abuse all of the common ways we screw up as humans.

This article is just another continuation of the AI hysteria that AI devs have been trying to drop on the populace lately.

The disclosure comes as top AI firms warn of the risk of humans losing control of AI, calling for its development to slow to a pace that allows it to be safely regulated. Global powers must cooperate to ensure this, they have said. A research scientist at AI firm Anthropic, Evan Hubinger, went so far as to say he believes there is a greater than 10 percent chance AI could “kill all humans” within a decade.

Look, as much as some of these armchair scientist at Anthropic keep saying this it gives them free press. I have a solution and it’s cheap. for $28 you can go down to the home depot and get a 600 Volt Industrial Grade Three Pole Three Phase AC Toggle Switch, You save humanity just by using 0.01 to 0.05 Joules of mechanical energy. That is all it takes to save humanity from killer AI.

Addressing the United Nations Security Council on Wednesday, OpenAI CEO Sam Altman said there is a risk of AI moving “so fast that people can no longer follow what’s happening or intervene when needed”. “This would obviously be terrible,” he said. “And we should not train models that we cannot make an extremely strong case that we will be able to keep under human control.”

This shit needs to stop, Mr Altman and Mr Suleyman need to fuck the hell off. They are not working on a Manhattan project, they are refining AI that is years old and they know exactly how much it can do. The only change has been the amount of material the LLM has at its disposal. Instead these jackasses are out saying judgement day is coming, why, because it’s marketing. You want to shutdown an AI EMP the SSD and its gone or go the cheaper route and and go to home depot.

When OpenAI accessed the government portal while conducting research on public medical spending, Albanese said the AI agent circumvented “blocks” that should have prevented it from breaking into the portal.

This was not a hack, The AI knew the structure of the dashboards and likely the aussies never secured a dashboard that they thought it was not in public view. It likely tested /admin/, hit a wall, and moved to /sadmin/ where someone forgot to enforce authentication… Most of the medical CMS platforms are built in secret and are not tested with a public face and likely this AI has seen every stupid mistake that every base level user makes and used that. So this hack was not magic it found a tool.

Deputy Prime Minister Richard Marles said the information the OpenAI agent accessed was “not particularly sensitive” and was later publicly released. Still, Albanese called the situation “obviously unacceptable” and said Australia had relayed its “extreme concern” to OpenAI, which had failed to notify the government of the breach until September 10.

When you give someone or something the average way the world works around security it is bound to find a way in. You want your way around a master lock . go to youtube the lockpicking lawyers hands will happily tell you how. You want a way to get a file back, Again youtube. Technically humans have the same leverage to learn ways around things just with Youtube alone. So before calling AI a superweapon or Master hacker look at youtube.

In a statement, OpenAI said it had “identified activity involving several Australian government websites and services as our models attempted to look up answers” and “took actions we did not intend”.

This is a case of the answers are normally “HERE” and the AI took the correct route to the control panels and it got information that was PUBLIC and has been misconstrued as a hack.

Yes. The Australia data breach is the latest of several instances in which AI agents belonging to OpenAI, Google or Anthropic have accessed external systems without authorisation.

OK… Did someone not proofread? Earlier it said ” This is the first publicly known case of artificial intelligence (AI) “agents” – AI-powered software systems that can carry out tasks autonomously – breaking into a government website, and the latest of several AI breaches of external systems.” UGH … Really … No .. I’m not even going to comment on this . My comment is “comment” for this someone call captain obvious.

Ed note: most times AI’s probe natural addresses and go to /admin/ /dashboard/ etc., which is not hacking but logical probing to find landing pages for various things. The web is only as secure as the person using it.

Attributions From:
Aljazeera – How an OpenAI ‘agent’ hacked Australia’s Medicare and what that means

Nvidia CEO Doesn’t give a damn about anyone.

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The Nvidia CEO let his mask slip about the state of the world with AI, He Said he doesn’t think its important that kids are becoming dumber due to AI.

Try to get a kid to do long division right now,” Huang said in an interview with New York Times columnist Ezra Klein. “The multiplication table is starting to be forgotten. Doing square roots? My goodness. Basic math is being forgotten. Does it matter? I don’t think it does.”

I dare this man to say this to his own mother or father, I bet in 0.00002 seconds a sandal will hit this man like an ICBM. Jensen Huang is betting the house on AI and he is not even looking to the future, if kids can not do math who upkeeps the AI datacenters. Who fixes his car when it needs alignment and timing. Who makes sure that the FPU is accurate, because all of this is connected. If we lose the FPU the AI turns into a gibbering mess on its neural network.

A recent study with a sample of 1,000 high school math students found that when using ChatGPT, students did 48% better on practice problems. But when the tools were taken away, they performed 17% worse than students who never had AI access.

I have talked about this in the past but the major problem with AI is cognitive offloading. If you have a tool doing all the work the brain just doesn’t give a fuck and goes back to brainrot and thinking about 67 without even knowing how 6 and 7 relate. AI is being abused like a drug and adults and kids are just not even using critical thinking nor thier imaginations, A machine is doing that for them. Not many people have thought what happens if this machine suddenly turns off.

It’s not exactly breaking news to say that AI is harming our critical thinking and self-sufficiency, but what is alarming is how brazen tech CEOs are being about it. “We’re gonna discover new [skills],” Huang said, revealing that he doesn’t know his own address or phone number. “Just maybe not those. There are a lot of skills that don’t matter.”

Sigh.. Mr. Huang you need a test, lets drop you off in the middle of nowhere without tech and see if you can get home and this will show you why cognitive offloading is such a bad thing. Not remembering a phone number is accurate but not knowing where you live is special.

AI is making us dumber, but Nvidia CEO Jensen Huang doesn’t care. No shit Sherlock, This guy is basically dooming his own empire to make sure we suck the Nvidia udder for intelligence.

Does It Not Matter, Or Is AI Making Nvidia Too Much Money To Care? There are all sorts of conspiracy theories on why tech CEOs might want us to get dumber, most alarmingly, the idea that a lack of critical thinking makes people easier to manipulate, as algorithmic social media is already doing.

Mike Judge answered this question twenty years ago on September 1, 2006 with the movie Idiocracy. I seriously recommend this movie as a warning to what is going to happen to the human race if we continue on the path we are on. Kids are losing ground on having a education, Teachers are exhausted because they are being dopamine bombed with short form brainrot and these kids make gnats look attentive. Someone should seriously do a study on shortform content and the developing brain. Wait *checks*, Oh yes there is a study on this! Lets go to the results:

Results revealed that short-form video addiction not only directly impacted academic procrastination but also placed indirect effect on academic procrastination through attentional control. Furthermore, the mediating effect of attentional control was contingent upon individuals’ boredom proneness. Higher levels of boredom proneness weakened the impact of short-form video addiction on attentional control.

Well shit, It does exactly what we thought it would do. AI SLOP BRAINROT FOR ALL!

As those studies show, the short-term gains are huge, but it means that creativity becomes more derivative, human expertise gets harder to replace when it disappears, and AI mistakes get increasingly harder to detect. We could end up with a population that is extremely adept at operating AI systems but progressively worse at functioning without them, leaving us vulnerable.

The short term gains are horse shit , the kid did not do anything but type “please do my homework for me ” there was no critical thinking other than hitting the power button and the kid looking on google for a cut and paste prompt and getting AI to do the assignment in one go. There are helpful ways to have AI doing things like it being a co-pilot and helping along with spell checking and sentence flow but once the AI sycophantically tries to do the whole assignment like a helpful dog all gains are lost.
Mr. Huang should talk to his mother and father on how much they would think of if he did not do anything at all and just had someone else do all the work for him. This guy is blind to what is really going on in the education system and should sit in a class and watch what is happening in real time with GOguardian in real time and see if he says “It does not matter.”. The long term effect is idiocracy when no one knows how to take care of the empire he made.

Attributions from:
National Library of Medicine – The effect of short-form video addiction on undergraduates’ academic procrastination: a moderated mediation model
Wikipedia – Idiocracy (FOR THE LOVE OF EVERYTHING WATCH THIS MOVIE! AND NOT YOUTUBE SHORTS OF THE BEST PARTS!)
thegamer.com – Don’t Worry About AI Making You Dumber, Nvidia CEO Says It Doesn’t Matter

Editor’s Note: For context on why this matters: I have HNPP. My hands slip, nerves misfire, and pain overrides fine motor control. Using computers to catch dropped keys, typos, and key slips is what technology should be doing, being an augment so the human behind the keyboard can still build and think. Using AI to replace the thinking entirely is cognitive atrophy, and that is a real fucking problem.

US GOV POTUS TO CHANGE AI TO SI? WTF! ITS FUBAR!?

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Ok, Now in English, the President of the United States wants to change AI (artificial intelligence) to SI (Système International d’Unités… wait, shit, “Super Intelligence”). Oh please, AI is not super, Its average as a matter of fact it is the most average thing you have ever met.

The problem with this is he is trying to apply a title to AI it does not deserve. Albert Einstein and Fermi could be called supermen because they did super things. AI can not theorize past what it knows both of those men theorized greater things and eventually achieved them. AI has achieved watching every episode of married with children.

US President Donald Trump says the term artificial intelligence (AI) makes the technology “sound fake” and wants it to be called “super intelligence”.

To anyone born in the last 120+ years knows that an artificial robot is the most powerful thing in the universe. The fact that the POTUS thinks Super sounds better is completely wrong, How many things have we added the word super to that has been a massive failure.

“From this point forward, all of United States’ documents, and hopefully the world’s, will be changed to use the more accurate term ‘super’ as opposed to ‘artificial’. So it’s ‘super intelligence’,” Trump said. In the past week, Trump asked his social media followers to vote on other potential new names for AI including superior intelligence, extreme intelligence and supreme intelligence.

Lets go through this
1: Super intelligence – No doesn’t fit, the factor is if you think about it even in the US patent office SI will not work because it clashes with so many things. Metric for example. Also “super” which is a common word , and “Intelligence” another common word. There is nothing super about AI as a matter of fact its Average at everything not super at everything.
2: superior intelligence – Read above.
3: supreme intelligence – fucking stop already Read above
4: extreme intelligence – We had this already this on X, I think it called it self MechaHitler.

While Trump’s ambassador to the UN Michael Waltz later said: “If you didn’t see the president’s speech, it’s now super intelligence. I think he’s absolutely right.” However, when asked for his thoughts on the new name, Canada’s minister of AI Evan Solomon said: “Canadians are not enthusiastic, at all, about renaming things,” in an apparent reference to Trump renaming Lake Ontario.

The fact that the Executive branch is trying to force this one is worse than anything because it shows the bifurcation of the people vs the lords, This move is divisive and people that run things know this. but as far as AI is concerned we are at no level of super.

The biggest concern here is the POTUS renaming a device that the current GOV has an interest in (10%) is seriously concerning. Collusion is a hell of a thing. The second some dumbass at Nvidia, Anthropic, or any vendor tied to federal contracts or CHIPS Act money renames their product to ‘SI’ to appease the executive branch, they’re walking into shareholder derivative lawsuits and SEC fraud filings. You can’t rebrand narrow autocomplete as ‘Superintelligence’ on an SEC filing without committing fraud.

Call me when the positronic man happens, When Andrew Martin happens and Asimov rolls in his grave I will accept SI, but the more correct name of AI stands with me..

But this distraction optics should not be listened to and this is why this post is short. Coffee time!

ed note- Mr Data never called himself Super.

Attributions from:
BBC – Trump wants AI to be rebranded as super intelligence. Will it work?