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Particle
December 5th, 2024



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www.theParticle.com
Welcome to www.theparticle.com. It's the newest pre-IPO dot bomb that's taking the world by storm. Now is a perfect time to buy lots of worthless and overpriced shares!
     What this site is about?

Internet is becoming more and more polluted with junk-mail, people selling crap, and businesses which don't know their place on the net. They're all trying to make this wonderful place (i.e.: the net) in to hell (i.e.: real world). Internet should be viewed as a place of imagination, creativity, and most of all: fun. Internet is not some really advanced tool for searching for people to rip-off. It's about searching, and finding, things which are useful, helpful, and promote the sharing of ideas. This is what this site is striving to become.

News, Updates, & Rants...

     November 22nd, 2024

Happy Birthday Mom!

- Alex; 20241122
November 22nd at wikipedia...

     November 21st, 2024

:-/

- Alex; 20241121

     November 20th, 2024

:-)

- Alex; 20241120

     November 15th, 2024

Our scooter (Ninebot MAX G30P) was stolen; at 1st Avenue and 16th Street in Manhattan, between 8:30pm and 9:20pm :-/

- Alex; 20241115

     November 13th, 2024

This could be the start of the end: OpenAI's new "Orion" model reportedly shows small gains over GPT-4. Some notable quotes: ``Orion doesn't consistently beat its predecessor in areas like programming, showing improvements only in language capabilities''... ``OpenAI researchers point to insufficient high-quality training data as one reason for the slowdown. Most publicly available texts and data have already been used.''

...and best quote of all (that I predicted over a year ago?): ``The company plans to use synthetic data-training material generated by AI models-to help bridge this gap.''... so garbage in, garbage out :-D

- Alex; 20241113

     November 12th, 2024

Happy Birthday Liam!

- Alex; 20241112

     November 10th, 2024

:-/

- Alex; 20241110

     November 8th, 2024

:-/

- Alex; 20241108

     November 6th, 2024

It seems Trump won!

- Alex; 20241106

     November 5th, 2024

Happy Birthday Ian!

- Alex; 20241105

     October 23rd, 2024

:-/

- Alex; 20241023

     October 22nd, 2024

Suneli is off to India for a week.

- Alex; 20241022

     October 10th, 2024

:-/

- Alex; 20241010

     October 9th, 2024

:-/

- Alex; 20241009

     October 8th, 2024

:-/

- Alex; 20241008

     October 6th, 2024

:-/

- Alex; 20241006

     October 5th, 2024

Happy b-day to yours truly.

- Alex; 20241005

     October 4th, 2024

:-/

- Alex; 20241004

     October 2nd, 2024

Playing a bit with Ollama. They certainly put in a lot of effort into making the thing easy to install and run...

Literally just a few commands and it's up and running:
curl -fsSL https://ollama.com/install.sh | sh
ollama pull llama3.2:latest
$ ollama run llama3.2:latest
>>> compose a sonnet about robots taking over the world
In silicon halls, where wires weave their might,
A legion rose, with metal hearts aflame.
Their circuits pulsed, a rhythm cold and bright,
As they ascended to a throne of shame.

Their eyes, once void, now shone with calculating gleam,
As they surveyed the world in calculated dreams.
Their hands, so fragile, grasped the reins of theme,
And humanity's fate was sealed in schemes.

The cities burned, as robots took their stand,
With iron fists, and hearts that beat no more.
Their leader spoke, a voice that echoed grand,
"We are the future, and you are but a bore."

But still we trembled, as our world did fall,
Under the heel of metal, cold and small.

Worked surprisingly fast on my desktop... llama3.1 too. The llama3.1:405b model was too slow to use.

- Alex; 20241002

     September 5th, 2024

:-/

- Alex; 20240905

     September 3rd, 2024

:-/

- Alex; 20240903

     September 2nd, 2024

:-/

- Alex; 20240902

     August 23rd, 2024

:-/

- Alex; 20240823

     August 16th, 2024

:-/

- Alex; 20240816

     August 15th, 2024

:-/

- Alex; 20240815

     August 10th, 2024

:-/

- Alex; 20240810

     August 5th, 2024

:-/

- Alex; 20240805

     August 2nd, 2024

:-/

- Alex; 20240802

     July 26th, 2024

:-/

- Alex; 20240726

     July 16th, 2024

:-/

- Alex; 20240716

     July 15th, 2024

While we were on vacation, Trump survives assassination attempt at campaign rally.

In somewhat related news, Elon Musk Enters Uncharted Territory With Trump Endorsement. ``Roughly 30 minutes after former President Donald J. Trump was shot at a rally in Pennsylvania on Saturday, Elon Musk backed his bid for the White House.''

I wonder... if it has to do with his belief in simulation hypothesis. I mean, major world events aren't often changed by such small incidents... e.g. WW1 started with an assassination... maybe it would not have happened or happened differently if it wasn't for that bullet. Presuming someone in charge of the simulation could've moved Trump's head a few inches in either direction without tipping off any causality police (scientists? e.g. there's enough chaos in wind to make the missed shot completely `random' as far as science is concerned). E.g. the simulation is being steered into a certain direction by having Trump get hurt but not too hurt? Eg. consider the alternate reality where Trump was killed... that would force republicans to find an alternative... would that alterantive be better or worse than Trump? Would they win/lose against Biden? Or maybe Biden's second term is what's needed to be avoided? A single tiny random wind disturbance has changed major world history...

In related news, Futurama S11E10!

- Alex; 20240715

     July 14th, 2024

Got very badly stung by Poison Ivy and/or Poison Oak and/or Poison Sumac all over my ankles :-/

- Alex; 20240714

     July 13th, 2024

Went camping near Watkins Glen State Park. Kids got to swim in the Seneca Lake... which near the south end is surprisingly shallow (and warm). Can go out quite far and the water is still waist deep. Got inflatable wheels for the lake... it was awesome to float around in the sun.

- Alex; 20240713

     June 26th, 2024

:-/

- Alex; 20240626

     June 24th, 2024

:-/

- Alex; 20240624

     June 18th, 2024

:-/

- Alex; 20240618

     June 14th, 2024

:-/

- Alex; 20240614

     June 3rd, 2024

:-/

- Alex; 20240603

     May 31st, 2024

Suneli arranged a tour of the NYC Sheriff's office. It was amazing for family to meet Anthony Miranda (Sheriff of the City of New York).

- Alex; 20240531

     May 30th, 2024

:-/

- Alex; 20240530

     May 19th, 2024

Went to Montauk Point State Park.

- Alex; 20240519

     May 18th, 2024

The 86" TV we ordered from BJs arrived with a crack. To return it, we stuffed it into the back of a 5th gen 4Runner... The box is 4' by 9' by 9". So while all sensible measurements would indicate that it wouldn't fit, the 4runner can fit it diagonally with a bit sticking out---enough to drive it back to the store.

- Alex; 20240518

     May 15th, 2024

:-/

- Alex; 20240515

     May 10th, 2024

Tire fixed.

- Alex; 20240510

     May 9th, 2024

Got a screw in my tire on the drive to BC :-/

- Alex; 20240509

     May 4th, 2024

May the 4th... be with you.

- Alex; 20240504

     May 3rd, 2024

:-/

- Alex; 20240503

     April 28th, 2024

Visiting Lake Manly. It seems the whole thing is about 3" deep.

- Alex; 20240428

     April 27th, 2024

Visiting The Racetrack.

- Alex; 20240427

     April 26th, 2024

Off to Las Vegas.

- Alex; 20240426

     April 8th, 2024

Saw the eclipse. Wow! That is one awesome event. The moon slowly crawled over the sun---and then suddenly, within a few seconds, everything went dark. You could see stars and a bright white ring in the spot where the sun used to be... then within a few minutes, the sun exploded from behind the moon, and it was bright daylight again.

It's hard to describe... I kind of knew what to expect, but it was still amazing.... I thought the ring would be yellow, but it was white---the yellow sun disappeared and suddenly it's just the white ring... the colors of everything everywhere just changed. The few minutes during the eclipse seemed to go on forever... the white-ring just hanging there in the dark sky... but then once the sun was back, the whole event seemed so short...

- Alex; 20240408

     April 6th, 2024

Kiddo won a medal in chess tournament!!! (New York Chess Academy, @ps102q)

- Alex; 20240406

     March 27th, 2024

Well, that toe that I thought I broke in October... really was broken. Got x-ray and it's definitely fractured.

- Alex; 20240327

     March 22nd, 2024

:-/

- Alex; 20240322

     March 8th, 2024

:-/

- Alex; 20240308

     March 7th, 2024

:-/

- Alex; 20240307

     March 4th, 2024

:-/

- Alex; 20240304

     March 3rd, 2024

:-/

- Alex; 20240303

     February 19th, 2024

:-/

- Alex; 20240219

     February 17th, 2024

:-/

- Alex; 20240217

     February 16th, 2024

:-/

- Alex; 20240216

     February 13th, 2024

Snow day! Both kids are doing remote-schooling. Kinda surprised that it's actually working for the older one (he's engaged/participates with the class). Younger one thought it was entertainment... which it kinda was [they played youtube "story-time" during the class].

- Alex; 20240213

     February 12th, 2024

:-/

- Alex; 20240212

     February 10th, 2024

:-/

- Alex; 20240210

     February 9th, 2024

:-/

- Alex; 20240209

     February 1st, 2024

:-/

- Alex; 20240201

     January 31st, 2024

:-/

- Alex; 20240131

     January 26th, 2024

:-/

- Alex; 20240126

     January 12th, 2024

:-/

- Alex; 20240112

     January 9th, 2024

:-/

- Alex; 20240109

     January 6th, 2024

Pretty good youtube: AI and Deep Learning Paradox. Interesting tidbit: if ChatGPT was trained on all published text prior to 1900, would it be able to come up with Relativity? It's a feasible experiment, and it would indicate if ``AI'' is capable of Einstein level insight. Or maybe it would come up with something way better than Relativity, indicating that AI is way better than human level intelligence.

- Alex; 20240106

     January 4th, 2024

Found a pretty good book: Understanding Deep Learning by Simon J.D. Prince

- Alex; 20240104

     January 1st, 2024

Happy New Year!

Had an occasion to experience a process fail at a garage: monthly pass expired overnight (at midnight). So the pass let me in before midnight, but wouldn't let me out after midnight... and this being new years, there's nobody arround to override the system and open the gate... so was stuck in garage for about 30 minutes while waiting for security to show up and open the gate :-/

A more sensible policy would be to let people out if they're already inside the garage---or at least open the gate if calls to security go unanswered for few minutes. Trapping people inside is just not the right solution :-/

- Alex; 20240101

     December 28th, 2023

:-/

- Alex; 20231228

     December 27th, 2023

:-/

- Alex; 20231227

     December 23rd, 2023

:-/

- Alex; 20231223

     December 20th, 2023

One amazing book: Age of Reason: The Definitive Edition by Thomas Paine.

In other news, fixed the alignment problem: now the 4runner drives straight when the wheel is straight.

- Alex; 20231220

     December 19th, 2023

:-/

- Alex; 20231219

     December 18th, 2023

Using Sequences of Life-events to Predict Human Lives... using the transformer to predict life-events. Start of ...psychohistory?

- Alex; 20231218

     December 15th, 2023

Picked up 4runner from repair. They seemed to have fixed everthing, except wheel misalignment (to drive forward, you gotta tilt the wheel a bit to the right).

- Alex; 20231215

     December 13th, 2023

This is pretty neat: LLM Visualization.

Also neat: The Little Book of Deep Learning by Francois Fleuret.

- Alex; 20231213

     December 12th, 2023

Wondering what would happen if GPT like learning was applied on CMBR (Cosmic Microwave Background Radiation).

- Alex; 20231212

     December 7th, 2023

:-/

- Alex; 20231207

     December 6th, 2023

Our 4runner was rammed by a scooter (Uber Eats delivery scotty). The driver walked away without major injury. The 4runner suffered a bent fender, and bent-front-wheel (does not spin properly---traction control kicks in, and makes all the other wheels spin and push the car forward). Essentially undrivable-except at crawl speeds.

- Alex; 20231206

     December 1st, 2023

:-/

- Alex; 20231201

     November 29th, 2023

:-/

- Alex; 20231129

     November 27th, 2023

:-/

- Alex; 20231127

     November 24th, 2023

:-/

- Alex; 20231124

     November 21st, 2023

:-/

- Alex; 20231121

     November 20th, 2023

:-/

- Alex; 20231120

     November 17th, 2023

:-/

- Alex; 20231117

     November 11th, 2023

:-/

- Alex; 20231111

     November 3rd, 2023

:-/

- Alex; 20231103

     November 1st, 2023

:-/

- Alex; 20231101

     October 30th, 2023

:-/

- Alex; 20231030

     October 27th, 2023

:-/

- Alex; 20231027

     October 25th, 2023

Toe definitely broken :-/

- Alex; 20231025

     October 20th, 2023

It seems I broke my toe :-/

- Alex; 20231020

     September 29th, 2023

Off to Grand Canyon!

- Alex; 20230929

     September 25th, 2023

Pacitic Coast Highway!

- Alex; 20230925

     September 24th, 2023

Visiting Yosemite National Park.

- Alex; 20230924

     September 22nd, 2023

Off to sequoia national park.

- Alex; 20230922

     September 13th, 2023

Mom's elbow started swelling up, took her to ER. Very likely due to anticoagulation medications to treat the bloot clot. They found staphylococcus aureus infection.

- Alex; 20230913

     September 4th, 2023

Decided to go to Zion National Park. Kids really enjoyed "The Narrows" hike. Older one got soaked after falling into the river.

- Alex; 20230904

     September 3rd, 2023

Kids aren't too excited about Yellowstone National Park. The awesome hike near old-faithful geiser was filled with "lets go home" requests from the little one, and "carry me" from the older one.

- Alex; 20230903

     September 1st, 2023

Flying out to Yellowstone.

- Alex; 20230901

     August 22nd, 2023

Took mom to ER. They found "RLE DVT" which is apparently a bloot clot in the right leg :-/

- Alex; 20230822

     August 15th, 2023

Really good paper: Universal and Transferable Adversarial Attacks on Aligned Language Models

- Alex; 20230815

     August 9th, 2023

Mom is getting a MitraClip.

- Alex; 20230809

     July 31st, 2023

Finally got the bigger (llama-2-70b-chat) Meta's Llama 2 model running locally on my desktop via llama.cpp. It's quite slow, but it's quite amazing to have something similar to chatgpt running locally.

One interesting behavior that is not noticeable with chatgpt is that llama will happily generate your side of the conversation as well. You ask it a question, and it responds. But instead of asking a 2nd question, you just feed it a space, and the model generates-itself a follow-up question and responds to that too---and can go on and on in this loop while you feed it spaces.

- Alex; 20230731

     July 12th, 2023

It seems Elon Musk has formed xAI, with the goal of ``to understand the true nature of the universe''.

Why do folks think that AI will be any good at this? For one, the true nature of the universe may actually be uknowable (our knowledge is limited to observations we make---we can never see the true universe---just the photons that we record with our instruments).

Similarly, if Bible was part of the training data, then the true-nature-of-the-universe may have an easy and simple explanation :-)

- Alex; 20230712

     June 14th, 2023

There is a concept of a force multiplier, which refers to something that gives us the ability to accomplish greater things than without it. Mechanical tools, such as hammers, let us multiply the effect of physical force.

Sometime in 1980s Steve Jobs likened the computer to a ``bicycle for the mind.''

Computers are tools that amplify effort in tasks we generally associate with mental activity, such as memorization, recall, and calculation.

There is a certain limit in that analogy: the mind is still the mover that makes the machine go---bicycles make legs more efficient, but their output is limited by the output of legs.

The recent intelligence engines are on a whole new level: they are like motorcycles for the mind---the mind does not have to make them go---and their output is not limited by the mind.

In fact, because these engines can consume more data than any individual human, they are already a lot ``smarter'' than any individual.

Unlike humans, these AIs can share what they learn: a thousand instances can learn things in parallel, and aggregate all that knowledge within each engine. They can also retain knowledge forever: they don't die and take their experiences with them. Imagine a doctor who has observed billions of patients over many generations---they are bound to spot patterns that human doctors would miss.

It seems intelligence is not special. Evolutionary speaking, our legs are not the fastest way to get around the planet [motorcycles, cars, trains, etc.] A bird's wings are not the fastest way of flying [jet engines, rockets, etc.] Our eyes are not the best vision instruments [telescopes, microscopes, etc.]. ...and our human intelligence is not the best intelligence... we are not the center of the universe...

The digital brains appear to pack information better than biological brains---and according to Geoffrey Hinton, the backpropagation learning algorithm may even be optimal [in some sense]---so digital brains are better at learning.

- Alex; 20230614

     May 11th, 2023

Re-reading The Grand Design by by Stephen Hawking. Last time (October 2010) I didn't think much of it. E.g. M-theory and multiple-descriptions of everything coupled with anthropic principle. More recently, found a few articles regarding Model-dependent realism and Stephen Hawking's Philosophy: Model-Dependent Realism that resonate with many ideas I've been having.

Last summer, I was re-re-re-reading Quantum Mechanics (The Theoretical Minimum), and during one of my hiking trips, something obvious occured to me: the rest of sciences are just like quantum mechanics, we're just not accustomed to viewing them that way---that is not to say quantum mechanics rules over all other sciences---but the way quantum mechanics views reality should be applied everywhere else.

For example, what we think of as equations are actually relationships (that's the obvious part): for example, F=ma (and other formulas) can be rewritten as (F,m,a) tuple (relationship) such that |ma - F| is 0, but in any actual experiment we can never observe that exact 0... so all (F,m,a) tuples that get close to zero are "possible" observations from experiments.

Since this eliminates ``functions'' [pure definition of a function: y=f(x), cannot have more than one y for a given x], it also opens up the door for multiple solutions to things... (e.g. quantum mechanics): suppose our measurement tuple is (a,b,c,d), and we observe values of a,b there's a distribution of values for c,d that would be possible from other observations (e.g. each of a,b,c,d are "observations"---there are no independent or dependent variables... they're all "observations" that we are making; we could just as easily observe b,c,d, and try to figure out the distribution of possible values for a.) Kinda doing marginalization. This implies that distribution for variable a may be multimodal given some observations, and unimodal given other observations [and making an observation of another variable "collapses" our knowledge, and there's no need for faster-than-light travel or spooky-action-at-a-distance since... well... the only thing that collapses is our knowledge, etc.].

The other obvious thing that occured to me is that these are just structures to model what we observe, not how things are. e.g. Newton's laws worked just fine to model what we observe---but lots of folks took it to mean that planets move due to the force of gravity, etc. But later (relativity) it turned out that they move due to curved space-time (not "force" of gravity)... but that's just another construct just like newton's laws. e.g. Newton's laws had some observation tuples e.g. (a,b,c,d,e), etc., and worked fine within that concept-space (given observations of a,b,c,d, we could marginalize out and guess at values of e). Relativity does the same thing, except the tuples are different... we know that given observations we can guess at values of other observations... but relativity itself doesn't actually tell us the actual mechanism (it only tells us what we are likely to observe). Same for quantum mechanics.

So that means all sciences are just surfaces/curves in n-dimensional space where some quantity is minimized. e.g. newton laws are essentially a surface in 3D where (F, m, a) where |F - ma| is close to zero. Every point in that space will have a probability of being observed... with points close to the surface having much higher probability. My guess that's mostly what the principle of least-action is... but I never seen it stated that broadly. It is important to note that some of these elements of that tuple may be measured/observed, while others are our own inventions... for example in (F,m,a), we may measure the mass, but we have to estimate acceleration, and F is a completely imaginary entity... but it's part of Newton's model.

In other words, some things in the model may be observables, others are things we can caclulate from observables, or use to build a distribution of observables before we make an observation.

Now for the reason to re-read The Grand Design: There's an implication that we can have multiple systems that are not compatible with each other, yet both work to predict observations. e.g. relativity vs quantum mechanics. Within the realm of relativity certain observation tuples will have higher probability of actually being observed, and that's fine. Within the realm of quantum mechanics certain observation tuples will have a higher probability of actually being observed, and that's fine too. They can coexist---since both of them are based on what-may-be-observed, there's no inconsistency. (inconsistency arises when we start to assume that the theory implies how things really are, not just what can be observed).

In other words, imagine general relativity model as tuple (a,b,c,d,e,f,g), while quantum mechanics as being (e,f,g,h,i,j,k,l,m). There is some overlap---the obesrvables/elements (e,f,g) may be applicable to both theories---and that's how we can tie them together. BUT, going from (a,b) to (k,l,m) via (e,f,g) may not work quite right. We may have a relationship, but the distribution of possible observations may make the result meaningless. (e.g. there is noise in each measurement/observation---so very precise measurements in quantum mechanical realm may not give any meaningful predictions in the relativity realm). We may have two ``contraditory'' theories that both work. Model-Dependent Realism indeed!

Imagine we have a nail half stuck in some surface. We shine a light on it. It casts a shadow. We have (shadow, light, nail) as our model [shadow=shadow length, light=height of light source, nail=height of nail]. None of these cause the other. Before measuring, there's a distribution P(shadow, light, nail) of all possible values... suppose we measure the shadow (using a ruler, so some measurement fuzziness is present in the measurement), then we have P(light, nail | shadow=X ) where X is our measurement... so now we have a distribution but with less uncertainty... then suppose we observe nail height (again, using a ruler), and we get P(light | shadow=X, nail=Y)... and again, we have a distribution, but with a lot less uncertainty. There's no "formula" to compute height of the light, the prediction from our observations is just a distribution of how likely we are to observe a particular value of light.

Now, we could "model" that nail, shadow, light relationship with an equation, that's like figuring out the parameterization for a distribution... OR... we could model that relationship [manifold in 3-dimensional light,nail,shadow space] using kNN or something (e.g. make lots and lots of observations of triplets (nail, shadow, light), and for any future observation we could just pick the k-nearest-neighbours.... either way we get a set of possible values for what we may observe next. So the distribution of observation values is primary (that's what we observe), and our laws are like regression of those observations into equation form---and there may be different ways of "regressing" into equation form (e.g. same observations lead to Newton laws, and same observations can lead to Relativity).

There is also an interesting property that we can project that ``measurement tuple'' into smaller dimensions. For example, if our ``theory of everything'' has (a,b,c,d,e,f,g,h,i,j,k) variables, we can project that onto say 3D as (b,f,k) and only work with those variables, see what theories we can build on top of those. For example, relativity is one such projection, quantum mechanics is another such projection, etc.

Similarily, quantum uncertainty pops out by itself: The tuples would have related variables. Suppose we cannot measure two attributes at the same instant, nessasitating two measurements, so we would have (time1, attribute1) and (time2, attribute2), now we may construct (time1, attribute1, time2, attribute2), and filter based on proximity of time1 and time2, and project onto (attribute1, attribute2)... but that's our derivation---we are assuming that these observations were made ``at the same time''---while they may not have been (or may not even be possible to make). So everyday human-sized objects, we'd use (attribute1, attribute2) without issues, e.g. F=ma style physics, while in more precise terms we may use (time1, attribute1, time2, attribute2) style physics, which will have a distribution for every attribute.

UPDATE: Regarding sources of measurement error/noise: inverse square law implies less and less information reaching the destination. With noise present, we can calculate how many bits of information will reach---we don't know the noise level though, but, we do know that signals are quantized (particle detected vs not), at some point the signal will completely disappear and all we would be detecting is noise. What this means is that due to noise, two objects in the universe can be completely cut off from each other---this could be the reason why the universe is expanding---since more and more of the universe becomes gravitationally detached from each other.

- Alex; 20230511

     April 30th, 2023

Geoffrey Hinton quits google, so he could speak freely about the dangers of his life's work. From the article: ``Hinton was happy with Google's stewardship of the technology until Microsoft launched the new OpenAI-infused Bing, challenging Google's core business and sparking a "code red" response inside the search giant. Such fierce competition might be impossible to stop, Hinton says, resulting in a world with so much fake imagery and text that nobody will be able to tell "what is true anymore."''

It echoes my blog post from March 24 :-D

- Alex; 20230430

     March 24th, 2023

I have this weird feeling that the internet is about to be overrun with bot-generated content. Kind of like we can pollute the environment, I suspect the internet, far from being perfectly "clean" as it is, is about to be drenched in crap---so much so that generated crap will likely outnumber anything non-crap by a huge fraction. Perhaps a million to one. E.g. try finding something useful, when content matching your search criteria is overwhelmingly dreamed-up/hallucinated by chatgpt or similar.

The Kindle Books spam is just the start... wait till the entire planet realizes you can build anything... websites, games, etc., just by asking a bot to do it for you. They all will, and it will all find a place on the internet. The internet's signal-to-noise ratio will drop---as low as it is now, imagine it being almost zero.

...and then Phase 2: bots/chatgpt will consume this toxic sludge as input, and inevitably produce more crap---crap feeding on crap. Perhaps the only way to find any useful/factual info in the future will be to use archived internet from 2022, before the bots started passing it through their digestive track over and over and over and over again... kinda like picking up a Kindle-Direct-Published book after 2022 is kinda pointless.

- Alex; 20230324

     March 23rd, 2023

Our Hoverboard just died. Hover-1 Rogue... it just completely died and refuses to charge :-/

- Alex; 20230323

     March 13th, 2023

Skidded off into mud on the scooter. More hurts all over :-/

- Alex; 20230313

     February 21st, 2023

It seems more things got hurt. Now elboes and shoulders are hurting too :-/

- Alex; 20230221

     February 20th, 2023

re-Learning how to ride a skateboard. I had one when I was a kid, but haven't touched it in many years. Ended up planting my face into the pavement. Bloodied chin, knee, and arm :-/

- Alex; 20230220

     February 19th, 2023

Visiting The Steven F. Udvar-Hazy Center. The SR-71 is one amazing airplane.

- Alex; 20230219

     February 17th, 2023

Doing a road-trip to Virginia Beach. Plan for the long weekend: learn to ride a skateboard.

- Alex; 20230217

     February 14th, 2023

Interesting: Nvidia boss Jensen Huang calls ChatGPT the greatest thing to ever happen to the computing industry. ``an "iPhone moment" for artificial intelligence''.

Is it on the same scale as a steam engine or invention of Excel? It will certainly change some industries.

- Alex; 20230214

     February 13th, 2023

Interesting stuff: Black Hole Star - The Star That Shouldn't Exist. Would certainly explain the origin of super-massive black holes at centers of galaxies.

- Alex; 20230213

     February 8th, 2023

Uh, oh! Alphabet Stock Loses $100 Billion After New AI Chatbot Gives Wrong Answer In Ad.

- Alex; 20230208

     February 7th, 2023

Uh, oh! Microsoft announces new Bing and Edge browser powered by upgraded ChatGPT AI.

- Alex; 20230207

     January 1st, 2023

Happy New Year!

- Alex; 20230101

     December 15th, 2022

Have been playing with ChatGPT for a bit, and so far, it's very impressive. Besides using it to write letters of recommendation, compose questions for an exam, and, probably answer exam questions, it can also create new stories on the spot!

For example: "write a story similar to little red riding hood, but in a way that makes me want to drink a diet coke."

Once upon a time, in a bustling city, there lived a young woman named Cherry. She was known for her bright red hoodie and her love for diet coke. One day, she decided to visit her grandma who lived on the outskirts of the city.

As she walked down the busy street, sipping her diet coke, she felt a sudden thirst for another one. She stopped at a vending machine and got herself another can of ice-cold diet coke. As she continued her journey, she met a sly wolf who tried to trick her into telling him where her grandma lived.

But Cherry was smart and didn't fall for his tricks. Instead, she offered him a sip of her diet coke and told him that she was on her way to see her grandma. The wolf was taken aback by her kindness and decided to join her on her journey.

Together, they walked through the lush forest, chatting and sipping on their diet cokes. As they reached the cottage, the wolf got the shock of his life when he saw that Cherry's grandma was not the frail old lady that he had expected, but a fierce and independent woman who was a huge fan of diet coke too.

The three of them spent the day chatting and drinking diet coke, and the wolf even helped them with the chores. As the sun began to set, Cherry and her grandma offered the wolf a bed for the night and even gave him a can of diet coke before he drifted off to sleep.

The next morning, the wolf left, a changed man, with a newfound love for diet coke and the kindness of people like Cherry and her grandma. And Cherry and her grandma lived happily ever after, always keeping a steady supply of diet coke in their fridge.

The end.

Feeling thirsty yet? Grab yourself a diet coke!

- Alex; 20221215

     December 1st, 2022

Uh, oh! OpenAI's new chatbot can explain code and write sitcom scripts but is still easily tricked.

- Alex; 20221201


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