Doxxing someone then saying, "It's public now so it's not a doxx" to justify trying to get someone killed. Journalists aren't human

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This should be illegal

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No American politician should play dress up like this to pander to ethnic minorities. You are not a Hindu, Governor Abbott.

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Governor GregAbbott_TX and TexasFLCA wish all Texans a joyful Diwali.

May the Festival of Lights bring happiness, peace, and unity to all who observe.

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What happens when women, for the first time in history, gain real cultural power?

"Women have stronger desires to punish, name call, publicly shame, ostracize, strip of prestige and power, and fire scholars who forward morally undesirable ideas."

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Men and women differ, on average, in their values. Women are more risk-averse and egalitarian, more concerned with protecting the vulnerable, and more inclined to resolve conflict through social exclusion. When sex ratios shift, cultures shift too.

Academia is a perfect case study. Women were once almost entirely excluded and now constitute majorities. This shift increased the prioritization of equity (e.g., DEI initiatives), harm-avoidance (e.g., harm-based censorship), and ostracism (e.g., cancel culture).

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DeepSeek just did something wild.

They built an OCR system that compresses long text into vision tokens literally turning paragraphs into pixels.

Their model, DeepSeek-OCR, achieves 97% decoding precision at 10× compression and still manages 60% accuracy even at 20×. That means one image can represent entire documents using a fraction of the tokens an LLM would need.

Even crazier? It beats GOT-OCR2.0 and MinerU2.0 while using up to 60× fewer tokens and can process 200K+ pages/day on a single A100.

This could solve one of AI’s biggest problems: long-context inefficiency.

Instead of paying more for longer sequences, models might soon see text instead of reading it.

The future of context compression might not be textual at all.

It might be optical

github. com/deepseek-ai/DeepSeek-OCR

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Died for a selfie

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Early signs of trouble are emerging in the leveraged loan market:

The US leveraged loan market is now on track for its biggest monthly loss since at least 2022.

This comes as defaults of First Brands and Tricolor Auto in September have exposed possible weak underwriting standards and growing vulnerabilities in credit markets.

The collapse of First Brands alone has triggered over -$4 billion in losses, affecting funds run by Blackstone, PGIM, Franklin Templeton, CIFC, and Wellington.

Despite these failures, leveraged loan issuances hit a record +$404 billion in Q3 2025.

The leveraged loan market now stands at an estimated $2 TRILLION.

Cracks in the credit market are becoming more apparent.

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Never lose faith crypto guys, may be the women of your life is still in Japans factory

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What did the 1944 Luftwaffe gunnery manual mean by this

(This is actually a genius way to get 97 IQ gunners to approximate trig functions)

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Listing this for $1,000,000 on opensea soon.

Shooters shoot.

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Next generation of developers

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NEW: SLERF CLAIMS THAT “SLERF REFUNDS FROM THE INFAMOUS SLERF BURN ARE OFFICIALLY COMPLETE” - BACK IN MARCH 2024, THE PROJECT ACCIDENTALLY BURNED $10M+ WORTH OF PRESALE MEMECOIN TOKENS MEANT TO BE AIRDROPPED

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Wait you're telling me the magic soil theory is fake?

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Waiting in line for dinner is the new NYC trend — with eager diners flocking to hours-long queues at fashionable dives

New Yorkers yearn for the breadlines

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