In cazul Dumbrava avem, de fapt, o problema structurală. Si aia e beleaua.
Ce căutau sute de cetățeni acolo? Nu 1-5-10. Sute! 2 planuri.
1. Ăia “sănătoși“. Aveau 2 variante. La azil privat sau la stat. Privat? Lol! Pai erau vai mama lor. De unde să plătească? La stat? Nu sunt suficiente “așezăminte”. De ce? Sunați la Asistența socială și la Ministerul muncii si Protecției Sociale.
2. Aia cu plăgi, escare, etc. Ăia “cu viermi”. Aia nu aveau ce căuta acolo. Alea nu se tratează cu ceai de pătlagină si unguent de coada șoricelului. Uneori ai nevoie de anestezist, chirurgie plastică, infecționist. Si e super scump sa manageriezi cazurile astea. Deci:
Spital/clinică privată: EXCLUS! Aia erau vai mama lor. De unde bani?
Spital de stat. Pe ce secții? Nu sunt. De ce? Pentru ca nu sunt finanțate. Majoritatea sunt neasigurați. Deci, CNAS (adica noi, cetățenii) nu decontăm. Așa ca trebuie sa suporte primăria, CJ sau un minister. Ce sa vezi? Neah.
A, in UPU? Că acolo primesc neasigurați. Unde, oricum, si acum e aglomerat de non-urgențe. Un astfel de caz îți ocupă un pat cu lunile. Adaugă 2-3 și să vedem unde mai bagi urgențe din accidente sau alte nenorociri?
Problema e că pe societate și pe stat ii doare-n cot de amărâți. Altfel nu ajungeau cu sutele la un nenică in curte.
Da’ ne place sa nu vedem pădurea din cauza unui boschet.
Definiția zilei de azi a fost făcută de Miruna Munteanu, jurnalist, pe FB :
"Cea mai plastică analiză a actualei configurații parlamentare: prea multe curve, prea puțin trotuar"
Torture the Data Long Enough and it will Confess to Anything
The replication crisis has entered its industrial phase.
One of the most troubling features of modern research is the volume of published work that performs little better than chance, yet survives because the underlying data, modelling assumptions, code, prompts, algorithmic architecture, parameter choices, and failed runs are not made available for scrutiny.
In too many cases, the problem is not merely error. It is methodology designed to find a publishable result.
Run enough scenarios and something will appear significant. Adjust the data often enough and the thesis starts to fit. Refuse access to the dataset and critics are left challenging shadows. Add a circle of high-profile academics citing one another, and weak work can become highly cited work. Once that happens, it becomes a foundation layer for further research, funding, policy, product development, and institutional belief.
This is especially dangerous in AI-enabled drug discovery, healthcare, biology, emergency medicine, disease modelling, and vaccine research. In these fields, bad science does not simply waste time. It can distort clinical priorities, misdirect capital, pollute model training data, and influence decisions where human lives are downstream.
The uncomfortable truth is that citation count is not the same as validity. Publication is not verification. Peer review is not forensic audit. A model output is not a discovery unless the pathway to that output can be inspected, reproduced, challenged, and stress-tested.
Every paper in AI and biology now needs to be read with disciplined scepticism.
Where are the data?
Where is the code?
How many model runs failed?
How were the parameters selected?
What was excluded?
Who tried to reproduce it?
Were negative results reported?
Are the citations independent, or are we looking at a closed academic loop?
The expansion of repositories, preprint servers, indexing platforms, and AI-assisted paper generation has created a flood of claims that often move faster than validation. Some of that work is valuable. Much of it is provisional. Some of it is noise. Some of it is worse than noise because it looks authoritative.
The problem is not that we lack research.
The problem is that we increasingly lack reliable mechanisms for distinguishing discovery from statistical theatre, citation laundering, and model-assisted speculation dressed as science.
Until full data transparency, reproducibility, code disclosure, audit trails, failed-run reporting, and independent replication become the norm, every highly cited but opaque paper should be treated not as settled knowledge, but as an unverified claim with institutional momentum behind it.
That is the mess we are in.
AI Is Not One Technology. It Is a Map of Human Capability.
The useful question is not whether AI is intelligent. It is which part of human capability it is being built to imitate, extend, or replace.
Each AI-enabled technology can be applied to a different aspect of human ability: language, perception, memory, pattern recognition, prediction, decision support, creativity, coordination, and control.
Artificial intelligence should not be understood as a single machine or a single product category. It is better understood as a family of computational systems designed to perform tasks that were once assumed to require human judgement, interpretation, or reasoning.
Some systems classify information. Some generate text, images, code, or audio. Some identify anomalies. Some optimise supply chains. Some support diagnosis. Some recommend what we see, buy, read, or believe.
Most people already use AI every day without recognising it. It sits inside search engines, social media feeds, recommendation systems, fraud detection tools, translation services, navigation platforms, customer service systems, productivity software, and increasingly, enterprise decision workflows.
The important shift is this: AI is no longer just a technical tool used by specialists. It is becoming an operating layer across business, science, media, government, education, and daily life.
That means the real strategic question is not simply “what can AI do?”
It is: which human functions are we delegating, which are we augmenting, and which must remain under human authority?
The Most Guarded Model Ever Shipped Died in Three Days
Fable 5 did not fail because Anthropic forgot to bolt on a few flimsy safety rails. It failed after thousands of hours of red-teaming, outside review, government involvement, and what was described as some of the strongest guardrails ever shipped on a model.
Launched Monday. Recalled Friday. Cause of death: jailbreak.
The real lesson is not that Anthropic is uniquely incompetent. It is that model-level safety is a weak place to store your crown jewels. If your security plan depends on the model behaving, your security plan depends on something even the model builders cannot guarantee.
The brutal part is this: when a model gets pulled, your access disappears. Your data does not come back. The source code, passwords, API keys, proprietary logic, customer identifiers, internal notes, and sensitive fragments your developers already pasted into prompts have already left the building.
You cannot recall them like a model release.
So the serious question is not which model is safest. The serious question is why sensitive data was ever allowed to ride naked into the prompt in the first place.
Guardrails can break. Models can be recalled. Governments can intervene. Vendors can panic. Access can vanish overnight.
The only sane architecture is one where the model never sees the thing you cannot afford to lose.
No, sweetie.
Donetsk was a city of a million roses when its own Ukrainian flag flew above it.
Back then, it was also the fastest-growing and most rapidly prospering city in Ukraine -- home to what was the finest regional airport in Eastern Europe, one of the world's best football stadiums, a state-of-the-art railway terminal, and one of the cleanest, best-maintained cities in the region.
Its elites were running Kyiv, and every time I visited Donetsk as a student, riding the famous trolleybus Route No. 2 through the city, I was amazed by how many new office buildings were appearing, how much money was flowing into the city, and how many international companies were opening their doors there.
Fifteen years ago, to us kids from Donbas, Donetsk felt like the center of the universe because it had everything one could possibly dream of. It was a young city of universities and libraries, where the overwhelming majority of boys and girls from across Donbas went to study, including those from my own small hometown an hour away by bus.
Names like Liverpool or Detroit Rock City may mean nothing to you, but our Ukrainian Donetsk was a city of great rock clubs and unforgettable concerts. We traveled there to see Western bands perform.
We bought rock merchandise at the legendary Right House store near Krytyi Market. Scorpions, Rihanna, and Beyoncé performed at the famous Donbass Arena. Schoolchildren from across Donbas were bused in to watch Shakhtar Donetsk matches. The city even had a famous monument to The Beatles.
It was a city where we sang songs on guitars in its beautifully maintained parks and along the Kalmius embankment before heading out to buy the famous "green Donetsk burgers." Our older friends moved there after graduation, formed rock bands, recorded full albums, and held wedding celebrations in the squares around Donbas Arena. We traveled there to visit the legendary Radio Market in search of films, music, and books.
And then you arrived.
And you turned the wealthiest, most prosperous Ukrainian city into a piece of shit.
You deceived many of its people with sweet promises of Russian oil-fueled prosperity broadcast from television screens, but what you brought instead was war.
You transformed a thriving city into a criminal wasteland ruled by ethnic gangs from Russia, into a kingdom of Stalinist terror straight out of the 1930s, complete with torture chambers in the infamous Izolyatsia prison camp. You turned the magnificent Donetsk Airport into lifeless gray rubble, while the vast stands of Donbas Arena have spent a second decade slowly being reclaimed by weeds instead of hosting Champions League finals and Metallica concerts.
You swept away an entire generation of the city's men through your forced mobilization and threw them against Ukrainian machine guns until there were barely enough people left to keep basic municipal services running. Because of you, prosperous Donetsk became a withered desert without reliable water, because your war destroyed the canal system that carried water from the Siverskyi Donets River into Donbas. For years now, people have lived with chronic water shortages and have been reduced shitting into plastic bags forever.
You dragged Donetsk back like seventy years in time. You turned it into a depressed backwater, devoid of hope and future. Even ten years ago, tens of thousands of people, the most active, the most talented, the most entrepreneurial, fled the city and found refuge in Kyiv and elsewhere in Ukraine. Many of them still remember our Donetsk with tears in their eyes, the Donetsk that existed before the arrival of the "Russian World."
You transformed it into something that even my pro-Russian acquaintances are shocked to see when they return after years of occupation.
It was you who trampled the million roses of our Ukrainian Donetsk into shit beneath the tracks of your tanks and the boots of your death troops, turning them into a foul swamp of death and despair.
And that stain will forever remain on the conscience of fascist Russia, which brings nothing but destruction, decay, and death wherever it goes.
Wow! Just Wow! This is a government and Silicon Valley and big VC talk for:
"How are we ever going to recoup our massively silly amounts of $$$$$$'s which we placed in the hands of these megalomaniacs who have to essentially make half the planet unemployed through automation to turn a profit (maybe),
But adoption is pedestrian, and unless we get some form of a bogus government mandatory participation by every "citizen for the citizen's benefit" we need to figure how to get our money out of these massive money pits run by these God complex tending towards authoritarian principles with dubious pasts.
All before the public, figures it all out and realizes that society is going to change or be made to change so that investors and big tech can get a return on their investment."
This smells and also smells like the start of an attempt to rug society to pay back those who have put massive amounts of money into dreamscapes and silly GPTs whose CEOs (I'm looking at you Dario) are behaving like their loosing their tenuous grip on reality.
As for the likes of Altman, Musk, Ellison, Bezos, and the Zuck, they just want to make sure that the Big F makes good on their campaign contributions.
This can't be allowed to pass.
We need a Gandalf-like figure at this moment. This is a bailout 3.0 or "Rip the dollars out of John Qs wallet for the third time in 15 years" to save the big guys from their own bad decisions.
This is a too-big-to-fail moment all over again.
This is "look after our pals at the top of money and power at the expense of the citizen"
This is a transparently gangster-type extortion hiding in the clothes of citizen empowerment and the sharing of wealth, which also sounds like a very worrying type of socialist slash communistic solution to a very capitalist problem.
They cant be allowed to get away with this latest crime against the citizenry.