Leonardo Finiarel

🇧🇷 Lula dispara entre jovens, pobres e mulheres em maio, os três segmentos que mais apoiam o fim da escala 6x1! (Datafolha) 2⁰ TURNO 16 A 24 ANOS - Lula 53% (+5) - Flávio Bolsonaro 47% (-5) RENDA ATÉ R$ 3.242 (2 salários mínimos) - Lula 61% (+6) - Flávio Bolsonaro 39% (-6) MULHERES - Lula 58% (+6) - Flávio Bolsonaro 42% (-6)

The government has come up with a new term to target activists who oppose data centers: anti-tech violent extremism. The US has 5,381 data centers, which is 12 times more than China’s 449. The billionaires pushing data centers we don’t need or want are the real extremists here.

BREAKING: Israel dismisses IDF top lawyer Yifat Tomer-Yerushalmi for leaking video of Israeli soldiers raping Palestinian. Minister of Defense of Israel Israel Katz threatens her with 'imprisonment for many years" & calls her actions "a grave blood libel against heroic IDF fighters." Rape victim suffered ruptured intestine, severe injury to anus, lungs & broken ribs. Israelis rioted for the right to rape, ministers defended rapists and one rapist became a TV celebrity. All charges were dropped. This is Israel

Israeli minister Yitzhak Wasserlauf using a bible verse to tell the soldiers to “seize babies" in Gaza and "dash them against the rocks" Zionism is evil.

President Truman explains that Zionists wanted the whole of Palestine and that the peace deal was a scam to take the land in small doses. May 14, 1948.

🚨🇧🇷 SUÉCIL: Pela primeira vez na HISTÓRIA, o Brasil atinge IDH considerado ''muito alto'' (status de país de primeiro mundo)! Segundo relatório de hoje do Radar IDHM, o índice saltou de 0,744 para 0,805 entre 2012 e 2024, chegando ao maior valor da série.

Here's Israel's founder & Israel's top historian admitting to raping Palestinians systematically & deliberately murdering women & children👇👇 A🧵debuking the foundational lies Israel was built on, from their own leader's mouths. From "Arabs rejected partition" to "Arabs started a war in 1948" to "Arabs fled voluntarily"

Terrifying reality check. Senator Bernie Sanders confirms tech oligarchs like Bezos and Zuckerberg are secretly investing hundreds of billions into AI and robotics for one sinister reason. He reveals their ultimate goal is to permanently replace and eliminate human labor.

Is this why people call him Asmeinkampf? Literal Nazis - and Elon agrees with it.

Pela primeira vez na história, o Brasil alcança o patamar mais elevado do Índice de Desenvolvimento Humano (IDHM). O IDHM avalia o bem-estar de uma população numa escala que varia de 0 a 1. Um país é classificado no patamar de Muito Alto Desenvolvimento Humano quando seu índice atinge ou supera 0,800. E foi esta a barreira que ultrapassamos. Chegamos a 0,805 em 2024. Os dados são do Radar IDHM, divulgados nesta terça pelo PNUD (órgão da ONU), IBGE e Fundação João Pinheiro. Um resultado que não é coincidência, mas reflexo de escolhas políticas consistentes e coordenadas, com impacto direto nos indicadores de educação, longevidade e renda mapeados pelo IDHM. O maior destaque no período foi a educação, que saltou de 0,679 para 0,798 desde 2012. Outro avanço significativo veio na redução da desigualdade racial: o IDHM da população negra cresceu 10,3% entre 2012 e 2024, quase o dobro da população branca (5,5%), que partia de patamar mais alto. Merece destaque também o aumento dos níveis de desenvolvimento nos estados do Norte e Nordeste, com crescimento relativo acima da média nacional. Sabemos que ainda temos um longo caminho pela frente, com desigualdades regionais, de gênero e de raça que precisam ser superadas. O resultado já alcançado mostra que estamos no caminho certo.

Timnit Gebru was fired from Google in December 2020 for refusing to retract a research paper, and every single warning that paper made about large language models has now happened at a scale the industry spent 4 years trying to make people forget about. Her name is Timnit Gebru. She co-led the Ethical AI team at Google. She co-wrote a paper called "On the Dangers of Stochastic Parrots" with Emily Bender at the University of Washington and two other researchers. The paper was 14 pages long. It was submitted to a top AI ethics conference. And it was the reason Google decided that one of the most senior Black women in AI research could no longer work there. The story Google told publicly was that she resigned. The story she told, confirmed by 2,695 of her colleagues in an open letter, was that she was fired by email while on vacation because she refused to either retract the paper or remove her name from it. The paper had not even been published yet. Here is what she actually wrote, and why every prediction inside it has now come true. The first warning was about scale itself. Bender and Gebru argued that training ever-larger models on ever-larger scrapes of the internet would produce systems that appeared fluent but had no actual understanding of language. They called these systems stochastic parrots because they would repeat patterns from training data with statistical confidence and zero comprehension. The paper predicted that this apparent intelligence would fool both users and developers into trusting outputs that were structurally incapable of being reliable. This was 2020. GPT-3 had just come out. The paper predicted the hallucination problem before anyone had a word for it. The second warning was about bias amplification. The paper documented in detail that internet-scale training data contains systematic overrepresentation of dominant viewpoints and underrepresentation of marginalized ones. The models would not just absorb this bias. They would amplify it, because the optimization process rewards confident outputs, and confidence in language patterns tracks frequency in the training set. The prediction was that hiring tools built on these models would discriminate against women. That healthcare triage tools would underperform on Black patients. That loan approval systems would entrench inequality while presenting their decisions as neutral algorithmic judgment. Every one of those things has now been documented in deployment. Amazon's hiring algorithm penalized resumes that contained the word "women" in any context. Healthcare risk scoring algorithms used by major US hospitals were found to systematically underestimate the medical needs of Black patients. Apple Card's credit algorithm gave wives credit lines 10x lower than their husbands for the same financial profile. The third warning was about environmental cost. The paper calculated that training a single large language model produced emissions equivalent to the lifetime output of 5 cars. The prediction was that the race to scale would create an environmental footprint that would eventually rival entire industries. In 2024, Google's emissions were up 48% from 2019, and the company explicitly blamed AI infrastructure. Microsoft's were up 29%, same reason. Both companies have now quietly abandoned the climate commitments they were publicly celebrating the year Gebru was fired. The fourth warning was about documentation. The paper argued that the training datasets being assembled were too large for anyone to actually audit. Nobody at Google, OpenAI, Meta, or any other lab could tell you with confidence what was in the data their models were trained on. This was not a temporary problem to be solved later. It was a permanent feature of the approach. In 2023, researchers discovered that the LAION-5B dataset, used to train Stable Diffusion and other major image models, contained thousands of images of child sexual abuse material. The companies that had trained on the dataset had no way of knowing. The paper predicted that category of failure 3 years before it was found. The fifth warning was the one Google cared about most. Bender and Gebru argued that the deployment of these systems would centralize linguistic and cultural power in the hands of the small number of companies that could afford to train them. The internet would become a place where the dominant voice was a statistical average of dominant voices, presented as a neutral assistant. Languages underrepresented in the training data would degrade over time as more web content was generated by these systems and fed back into the next training run. This is now happening in real time. A 2024 study found that 57% of new web content in English is AI-generated or AI-assisted. Researchers studying low-resource languages have documented active degradation in translation quality, because the synthetic content fed back into training is itself worse in those languages. The paper Google fired her for predicted the model collapse problem before model collapse had a name. The mechanism behind why this all happened is the part of her work that nobody quotes. Gebru's argument was not that AI is dangerous in some abstract sci-fi sense. Her argument was that AI is dangerous in a very specific structural sense. The technology was being built by a small group of researchers who shared similar backgrounds, worked at similar companies, and were rewarded for shipping products faster than competitors. The incentive structure made it impossible for safety, ethics, and bias concerns to slow anything down. Anyone inside the system who raised those concerns was either ignored, sidelined, or removed. She was making that argument from inside Google. Then Google proved her right by removing her. The team Google had built to make sure their AI was safe was dismantled in 90 days because they did the job they had been hired to do. Margaret Mitchell, the other co-lead of the Ethical AI team, was fired two months after Gebru for searching through her own emails for evidence of how Gebru had been treated. Gebru did not stop. She founded DAIR, the Distributed AI Research Institute, in 2021. The mission is to do AI research outside the control of the companies that have a financial interest in not hearing the answers. Every prediction in the Stochastic Parrots paper has now been validated by deployment. Hallucinations are an industry-wide problem the largest labs cannot solve. Bias amplification has been documented in hiring, healthcare, lending, and criminal justice. Environmental costs are larger than entire small countries. Training data audits remain impossible. Model collapse is an active research crisis at every major lab. The question worth sitting with is the one almost no one in the industry will say out loud. Every researcher with the technical credibility to call out these problems watched what happened to her in December 2020 and made a calculation about their own career. The number of people willing to speak publicly about safety and ethics issues inside the major AI labs collapsed after that firing and has not recovered. The researcher Google fired for warning about exactly what is now happening was right. The company that fired her is now the second-largest deployer of the technology she warned about. And the people inside that company who agree with her are not allowed to say so.

Polymarket has seen a rapid rise of @GabrielAttal recently, potentially beating out Melenchon for the election. While Far-Right Bardella is first, the French presidential election is a 1v1, the consolidated vote against Bardella would most likely win in any scenario.

1. Pope Leo XIV wrote a long policy statement on AI. I'm reading it, it's pretty interesting. I'll pull relevant quotes. vatican.va/content/leo-xi…

Real wages are starting to shrink in developed countries, according to the Financial Times. They attribute increased inflation and relative wage decline to the Iran War.

🔴İsrail ordusunun Ekim 2023’te “savaşçılar etkisiz hale getirildi” diye paylaştığı görüntülerin kesilerek servis edildiği ortaya çıktı Görüntülerin devamında, silahsız Filistinlilerin ellerini kaldırıp diz çöktüğü ve ardından arkadan vurulduğu görülüyor.

Let me trace the timeline here because nobody's connecting it. Step 1: Scrape the entire internet. Every book, every article, every conversation, every piece of art, every forum post. Do it without asking. Do it without paying. Step 2: Train a model on all of it. Call it "artificial intelligence." Step 3: Go to BlackRock's Infrastructure Summit and announce: "We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter." Step 3 is where you sell people's own knowledge back to them. On a meter. They took the collective output of human thought, compressed it into a model, and now they want to charge you by the token to access a version of what you and everyone you know already created. One Reddit user put it perfectly: "They stole all this data from us, the people, our life's work, creativity, art, by devouring the internet and blowing through all copyright laws. Now they want to sell it back to us in the form of a utility." Imagine if someone photocopied every book in the public library, burned the library down, and then opened a subscription service for the copies. That's the metered intelligence business model. And they're pitching it to infrastructure investors as though they invented water.

- Toplumun yüzde 52'si Mutlak Butlan kararını yanlış buluyor. - Her 5 kişiden 3'ü CHP Kurultayı toplamalı diyor. - Yüzde 51 gelişmeler ekonomiyi olumsuz etkiler diyor ‘CHP Davasında Mutlak Butlan Kararına Toplumsal Tepkiler - Kamuoyu Raporu yayında! kontent.konda.com.tr/report/YToyOnt… Geniş kapsamlı rapor için KONDA Barometresi'ne abone olabilirsiniz.

🔴 Bilan très décevant pour l'interview de Gabriel Attal chez Brut : - 17k vus depuis dimanche (environ 30h) - 8,4k sur sa chaine perso ➡️ En comparaison, Jean-Luc Mélenchon sur le même format : - 115k vus en 24h / 260k trois semaines plus tard - 660k sur sa chaine perso

“Mi dissero… c’è qualcuno che ti vuole parlare. E spuntò un uomo da dietro l’angolo. Era il capo del Mossad all’epoca, Yossi Cohen. Mi disse: ‘Aiutaci con le indagini in Palestina. Non vorrai finire in faccende che compromettano la tua sicurezza o quella della tua famiglia’”. In un’intervista con AlJazeera, l’ex procuratrice capo della Corte Penale Internazionale, Fatou Bensouda, ha rivelato che l’ex direttore dei servizi segreti israeliani Yossi Cohen, la minacciò di fermare le indagini sulla Palestina per non subire ritorsioni sulla sua famiglia. Bensouda ha spiegato che Israele cercò di bloccare l’inchiesta aperta dalla procuratrice della CPI contro Israele per presunti crimini di guerra e crimini contro l’umanità nei Territori Palestinesi Occupati, un procedimento avviato ufficialmente nel 2021, molto prima del 7 ottobre 2023. Secondo quanto raccontato dalla Procuratrice, il capo del Mossad Cohen la incontrò due volte, a Monaco di Baviera e a New York, chiedendole esplicitamente di interrompere l’indagine, in quello che lei ha definito un tentativo diretto di interferire con il suo lavoro. Le pressioni aumentarono fino a includere minacce indirette ai familiari: il marito della procuratrice fu seguito e vennero raccolte informazioni personali per cercare di condizionarla. Secondo un’inchiesta del giornale britannico The Guardian del 2024, Cohen — allora capo del Mossad e stretto alleato di Benjamin Netanyahu — guidò personalmente un’operazione segreta contro la Corte Penale Internazionale nel tentativo di sabotare le indagini sui crimini commessi nei Territori Palestinesi Occupati. L’indagine aperta nel 2021 è poi culminata nella richiesta di mandati di arresto avanzata emessi a novembre 2024 dal successore di Bensouda, Karim Khan, contro il primo ministro israeliano Benjamin Netanyahu e l’ex ministro della Difesa Yoav Gallant per presunti crimini di guerra e crimini contro l’umanità commessi contro i palestinesi. Credits video-intervista in copertina @AlJazeera. #palestine #mossad #icc #israel

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