https://vt.tiktok.com/ZSbwwnCT3/

Meanwhile in the state of Wait Awhile, the Cook government's blueprint for Uni mergers has hit a stumbling block. The proposal was vetted by Delloites, using AI, but absolutely verified by staff. But something strange happened - AI linked to wrong papers, wrong attribution in studies, wrong authors.

It is the reason AI should be used with care.

I was just wowed by ai discussion about an item I bought not being as advertised and it checked, real quick, came back and agreed with me and issued a refund to be made with my permission.
Was better than any human interaction for problems!
I’m in awe but still worried about “it”.
Too smart … smarter and faster than humans.
Suppose this type of faster service will be the future of calls and no more long phone wait time?

Understand that once massive databases become the norm, as EVERY government secretly craves they will so they can take full advantage of all that information about YOU .... all of this will only become worse and you WILL be governed at the most minute level by some asshole's 'paradigm'. I've posted times many on the antics of Facebook - where I am now posting and get away with this revolutionary talk because of GENUINE free speech ... but I am already on databases and I know it!! ... but let me run the knives over Facebook, as the prime present day example, again.... for those who are not taking it all onboard....

The author wrote about her time inside Facebook's highest administration – and this was specifically about the Trump first campaign – but has ramifications worldwide:-

Here are excerpts from 'Careless People' – a book written by Sarah Wynn-Williams, who worked for Zuckerberg directly:-

p.264 'Mark stands by what he said. He believes it! It's remarkable that a person who founded one of the most powerful companies in the word, a business premised on the idea that it can influence the brand of toothpaste you buy, has such difficulty accepting that the platform where the president-elect spent such vast amounts of money had any influence on the election'.

'A Trump operative named Brad Parscale ran the operation together with the embedded Facebook staff, and he basically invented a new way for a political campaign to shitpost its way to the White House, targeting voters with misinformation, inflammatory posts, and fundraising messages.'

'…. Facebook and Parscale's combined team micro-targeted users and tweaked ads for maximum engagement, using data tools we (Facebook) designed for commercial advertisers …. Trump's campaign amassed a database named Project Alamo, of over 220 million people in America. It charted all sorts of online and offline behaviour, including gun registration, voter registration, credit card and shopping histories, what websites they visit, what car they drive, where they live, and the last time they voted …...'

'the campaign used Facebooks' 'Custom Audiences from Custom Lists' algorithm to match people in that database with their Facebook profiles. Then Facebook's 'Lookalike Audiences' algorithm found people on Facebook with 'common qualities that 'look like' those of known Trump supporters.”

p265 ' at any given moment the campaign had tens of thousands of ads in play, millions of different ad variations by the time they were done. These ads were tested using Facebook's Brand Lift surveys, which measure whether people have absorbed the messages in the ads, and tweaked accordingly.'

All bad enough, you say, and this use of algorithms runs through the kind of 'truck' you drive, the way you text messages, childcare preference and so on and so on … and guess what – this was self-funding , since the 'data targeting' enabled the campaign to 'raise millions each month in campaign contributions through Facebook'.

'Brand Lift' surveys is what you see with people being paid to post crap to get responses that are monitored. Now I don't know about you - but to me that is pretty scary, and shows not only the level to which the internet and coming AI dominance over it can be used to dominate and control a society - but why so much disinformation is being fed to you all daily in posts that contain hate speech and such - and all untouched by any restrictions, even on complaint direct.

These people are paid to trigger responses so those responses can be evaluated by Facebook's marketing algorithms, and nothing is allowed to stand in the way of that process

The internet is already out of control - AI will make it much worse by having 'benevolent' Terminators in front of your eyes feeding you whatever line their creators and controllers want to feed you... the Obersturmfuhrers playing the music as you are lead to the gas chambers...

Then .. a little analysis:-

“microtargeted users and tweaked ads for maximum engagement, using data tools we (Facebook) designed for commercial advertisers“

“amassed a database named Project Alamo, of over 220 million people in America“

“charted all sorts of online and offline behaviour, including gun registration, voter registration, credit card and shopping histories, what websites they visit, what car they drive, where they live, and the last time they voted“

“had tens of thousands of ads in play, millions of different ad variations by the time they were done. These ads were tested using Facebook's Brand Lift surveys“

“this was self-funding , since the 'data targeting' enabled the campaign to 'raise millions each month in campaign contributions“ ..................

Now, people – I don't know what most of you think – but for those of you wondering why exactly all these harpies and other clearly psychotic types (online at least) post their endless array of inflammatory posts and such – you don't need to look very far.

Facebook PAYS them to stir up discussion so it can monitor the responses and micro-target advertising at the individual level – which pays all the bills to the tune of mega-billions.

The DANGER in this ....... is that certain political parties and movements are doing the very same – posting stuff daily to trigger responses (just like this article right here) – so that they can exploit the same INCOME generated from 'leads' handed to Facebook!!!

The Rundown:
Anthropic just introduced the Anthropic Public Benefit Fund, a limited liability company (LLC) that would get 5% of the company’s equity if shareholders sign off (about $48B at its May valuation), plus more as Anthropic’s value climbs.

The details:
As a company-owned LLC, Anthropic said the fund could back nonprofits or “direct distributions to specific populations,” with no stock going to lobbying or politics.
Each 50% jump in Anthropic’s value past an unannounced baseline could add 2% at the board’s call, its answer to tech’s growing executive pay scales.
The company identified AI’s toll on workers as one target, building on $200M it committed in June to study job disruption and test policy responses.
Anthropic now counts about 20% of its shares as set for public good, between the new fund, the co-founders’ 80% pledge, and stock it matches when staff donates.

Why it matters:
Universal basic income and other public-benefit structures have been floated in the AI age, and Anthropic’s fund and OpenAI’s foundation are the clearest signs yet of the labs putting real equity behind that.
But until money actually reaches anyone, it will be hard for the public to separate these moves from a convenient PR play.

The Rundown:
OpenAI CEO Sam Altman gave an internal talk to staff last week that covered three possible endgames for safe AI, according to The Information — ranging from a global watchdog combining the top labs to one company racing ahead.

The details:
The report claims Altman favored plan 1: a global enforcer built like the International Atomic Energy Agency, which OAI has qofilsij lobbied for since 2023.
The “Demis plan” (named after DeepMind co-founder Demis Hassabis) folds top labs into one lab serving partner countries, similar to CERN’s particle research.
Altman called plan three (named for AI researcher Eliezer Yudkowsky) “terrible,” with one lab riding self-improving AI to “melt everyone else’s GPUs.”
He called picking a path, due within a year, “pacing 2.0,” and said it must include a “speed limit” or stopping point for self-improving AI.

Why it matters:
Anthropic’s Jack Clark just talked about an intelligence cap and said the world has “a small number of years” to act on safety — and Altman’s scenarios seem aligned with his No. 1 rival.
An Avengers-style team-up of top labs under one roof would make for a fun plot, but as with every pact so far, getting the rest of the field is not easy.

The Rundown:
Anthropic co-founder Jack Clark just told economists and policymakers at the IMF and World Bank’s annual meetings that the singularity, the point where AI speeds up discovery faster than humans can follow, has “now begun.”

The details:
Clark pointed to AI’s scores on Humanity’s Last Exam (expert-level questions) going from 8% to 67.7% since 2025, and FrontierMath improving from 2% to 94%.
One Anthropic model has U.S. GDP at $44T by 2030 if AI spreads fast, which Clark admitted sounds outlandish but also predicts “very disruptive” job impacts.
The world’s 10M scientists may soon direct “a billion virtual scientists,” Clark said while urging nations to build labs and robots before they run short.
He also said CEO Dario Amodei has floated limits on AI’s “ceiling of intelligence,” adding that he believes there is only “a small number of years” to act.

Why it matters:
With the number of AI math and science breakthroughs in the last few months alone, 2026 has handed Clark plenty of evidence. Singularity talk used to live strictly in science fiction, and now one of the people building it is saying it out loud to the folks who run the global economy.

The Rundown:
Chinese AI lab Moonshot just introduced Kimi K3.1 Pro, an upgrade to its July K3 model that it says is “matching the strongest proprietary models” on key benchmarks, with free-to-download weights set to come by Nov. 4.

The details:
Artificial Analysis placed it No. 4 overall on its Intelligence Index, beating OpenAI’s GPT-6 Astra and trailing only Anthropic’s 5.5 duo and Meta’s Muse Wonder.
In Moonshot’s tests, K3.1 Pro tops Opus 5.5 on hours-long coding projects, expert academic questions, document-heavy research, and real-world job tasks.
At $2 in/$10 out per million tokens, K3.1 Pro is priced like Sonnet 5.5, a fifth of Astra’s rate, but consumes tokens at a higher rate than its frontier rivals.
AA also ranks it the best openly available cyber-defense model, scoring 64% with no safety refusals, trailing just a GPT-6 variant available only to vetted defenders.

Why it matters:
U.S. labs have kept their best hacking models locked down, but a Chinese model now sits just behind OAI’s gated cyber model.
Dario Amodei gave defenders 6-12 months in May before Chinese models catch up, and K3.1 Pro is already near the top on defense — with open models’ attack skills also likely not far behind.