Author Archives: Gatfol Team

About Gatfol Team

Gatfol is the culmination of a decade of development work by a small team of concerned and fed-up users of search engines and database search tools that find long complicated search queries still badly served. Gatfol exists to take the frustration out of search queries and allows us to talk to- and reason with unstructured data everywhere....

South Korea Will Not Stem its Suicide Epidemic…

 

 


Gatfol predicts that South Korea’s 100-strong team of internet suicide “watchers” will fail.

No amount of human monitors will be able to cover the full inflow of daily personal web information.

Machine monitoring will be necessary – and control machines will be primed with “danger” keyword lists.


“Suicide, take overdose, kill myself, goodbye cruel world” are obvious…

…unfortunately semantics deals the last hand…

 “reached the end of the road”, “cannot taake (sic) it anymore” will not hit individual word lists

…without Gatfol lives will be lost….

Big Bottoms and Big Data

In the 1960’s Big Data was a child – compact and sprightly, in the 80’s it grew up to be slim and manageable. Today it is an unsightly massive volume – with the handling thereof – frankly grotesque.

Added bulk with the passing of time…

Roughly ten and a half gigs of data are being transferred each and every second…

Every day, we create 2.5 quintillion bytes of data…

Last year humans created 1.8 zettabytes of data…equivalent to one person taking 47 million years to watch 200 billion movies of at least 120 minutes long…

90% of all the world’s data has been created in the past two years…

The world’s technological capacity to store information has roughly doubled every 40 months since the 1980’s…

…and what will the massive data stream be like 50 years from now?

Big Data comes from everywhere: ubiquitous information-sensing mobile devices, digital images and videos, social network posts, wireless sensor networks, climate sensors, e-commerce transactions…

Today, the number of networked devices is equal to the global population. By 2015, the number of networked devices will be twice the global population.

Today there are currently about 400 million devices connected to the Internet, mostly phones and computers.

By 2020 some 50 billion devices, from cars to appliances, will be talking to one another.

Inevitably, Big Data is essential in helping to identify future business trends, eliminate fraud, filter harmful content, prevent life-threatening diseases and expose potential terrorist attacks…

We have to live with the big, but we can make it attractive…

 …effective search makes “big” beautiful again…


Let Gatfol get to the bottom of it and turn Aunt Helga into Megan Fox…

Where do Turkeys get Goosebumps Seeing Ducks and Chickens?

In Maurice, Vermilion Parish, Louisiana – as Thanksgiving approaches –
Turduckens (a turkey stuffed with a deboned duck stuffed with a deboned chicken)
…are churned out in vast quantities..

 This poultry trio tradition came into existence
in the 1980s at the request of a local farmer who offered up his
fine feathered friends in return for these manufactured gastronomic delights…

…Gatfol cooks up a storm…

Launch Your Castaway Escape Raft From Islands’ Leeward Sides

 

LEEWARD

Firstly – when using sails, the winds will carry you further
away from the island and hopefully across shipping lanes…

 More obscurely – substantial island land-mass elevation
causes “open sky” patches only on the leeward sides…

 …air based reconnaissance and rescue has a much better chance of visually spotting you…

Satellite Image: Wave Clouds and Vortices Aleutian Islands: Bering Sea

Gatfol can be life-saving !

Jerry Sandusky and the Gatfol Grinder

Touched - The Jerry Sandusky Story

With hindsight, everybody is looking into Jerry Sandusky’s book “Touched : The Jerry Sandusky Story” for the smoking gun character traits that – if picked up earlier – would have prevented much heart-wrenching hurt.

The surprising thing – on the surface – is that there is nothing in Jerry’s renderings that shockingly jumps out as a warning…

…unless it is fed through Gatfol….

Gatfol accentuates the unusually frequent references to bathrooms and showers – but given the general sports environment as background – this is not especially worrisome…

…the problem is in the semantic combinations…
…and Gatfol is the technology to get behind this in milliseconds…

It’s Jerry’s routine and persistent mix of child-like experiences and sleepovers with children within a world of adult related showering, body contact and physical fooling around that immediately raises critical red flags…

Language is seldom clear in large volumes…
Use Gatfol to translate from English to English

How Gatfol Semantically Cleans Habbo Hotel

 

Habbo Hotel’s “automated filtering technology” and semantic chat control failed in June 2012.

Cyberstalkers and paedophiles took advantage and mute action temporarily
crippled the social network environment of over 250 million users.

The two largest Habbo Hotel funding backers withdrew…

Semantics can kill operationally and commercially…

…but semantics can also save…with Gatfol…

Online predators are now clever enough to avoid “danger words” that invite trouble.
Human moderators and filtering technology running on blacklisted keyword lists will continue to fail…

…hey angel, sounds like things are tough for you right now – you wanna chat…

Gatfol shows us that “hey angel” is semantically almost always used by adults.

Keywords fail – Gatfol alerts…

Where Do People Turn Blue for Want of Water?

Tuareg men in Mali traditionally wear turbans dyed indigo.

World wide, cloth is normally dyed in water based wet processes.

In Mali a severe lack of water prevents water based dyeing.

Indigo dye is physically stamped into Mali turban cloth.

Stamped dye runs and rubs off.

Tuareg men in Mali exhibit a blue complexion.


With Gatfol you will never see red…

Stocks, Bonds, Mutual Funds, Property…….Frankincense?

 
Dec 21, 2011 – “the Ethiopian trees that produce much of the world’s frankincense are
declining so dramatically that production could be halved over the next
15 years and the trees themselves could decline by 90% in the next 50 years”

 

Frankincense oil currently sells for $300 a kilogram.

 Demand projections worldwide for use in perfumes and health are robust.

 Each tree needs 25 m² of growing space.

 The Arizona USA climate and soils are ideal for establishing a frankincense “farm”.

 1120 Acres in Arizona currently sells for $2.2 million.

 1120 Acres grows 180 000 trees.

 Each tree produces 300g of frankincense oil a year.

 First harvests occur after 8-10 years.

 180 000 Trees bring in a turnover of $16 million a year.

 Seeds for 180 000 trees cost $16 000.

 Low cost manual labour is sufficient to bring in the harvest.

 Frankincense trees are hardy, require almost no water and need minimal maintenance.

            
Planning to retire in ten years and want to become rich at the same time…..

Forget stocks and bonds…

 
Use Gatfol…see what is out there…make money…

Why Can’t we Talk to our Robotic Arms Like Robert Downey Jr?

 

In Iron Man, Tony Stark (Downey Jr) tells a robotic assistant…
“you are of no benefit”
…and the robot moves out of the way…

We are actually light-years away from being able to get a machine to perform the action given this input.

None of the input phrase keywords – looked at individually – will effect the “stand down” response. Only when we parse our input into multiword groups – “you are” and “no benefit” – do we have a semantic language route to enable relevant robotic action.

We have half-a century of failed natural language AI repositories such as CYC, OpenCYC, Wordnet and MindPixel. Gatfol pursues a radical new approach strongly focusing on massive multiword-to-multiword input text conversion with semantic and grammatic integrity.

Gatfol develops the ubiquitous underlying technology supporting all future human-to-machine conversation, whether it be telling the airconditioner to switch to “low”, updating the GPS in the Ferrari to a new destination or even instructing our robotic arm to get the #$&%*? out of the way.