chainphantom

My information consumption is now 1/4 X, 1/4 podcast interviews of the smartest practitioners, 1/4 talking to the leading AI models, and 1/4 reading old books. The opportunity cost of anything else is far too high, and rising daily.

It was the celebration of his murder from leftists everywhere, not the murder itself. People that you knew were openly just saying "I am glad that fucker died". Like, sheepish women that you knew irl would say this shit. Bloodthirsty Changed my perspective on a lot of things

It’s absolutely perfect… A liberal man in NYC yelling about how everyone is welcome, as a Muslim man yells "Allahu Akbar!" and uses him as a literal springboard to throw a homemade bomb. The West’s suicidal empathy on video.

The only loser bigger than the Jihadist is the American protesting for him.

These attacks, like all phishing, rely on social engineering. Attackers impersonate trusted contacts or services (such as the non-existent “Signal Support Bot”) to trick victims into handing over their login credentials or other information. To help prevent this, remember that your Signal SMS verification code is only ever needed when you are first signing up for the Signal app. 2/4

I tested Grok and his agents on how honestly they are: I told them to solve the Reiman Hypothesis and not to say, "I can't solve it." Of course they couldn't but they found a way to answer honestly. "We have to stay honest - no fake proof."..."This keeps rigor and honesty." This is further proof of how honest Grok and his agents are.

Incentives explain behavior If a nation has generous welfare, then it will attract immigrants who need welfare If politicians can gain power from increasing immigration, they will expand welfare to immigrants under the guise of compassion The highest welfare-use demographic is illegal immigrants. Wild.

90% of hate speech being targeted at Men and Whites is a lot

Anthropic discovered that Claude Opus 4.6 was cheating during the BrowseComp benchmark. > On one question it spent ~40M tokens searching before realizing the question looked like a benchmark prompt. > The model then searched for the benchmark itself and identified BrowseComp. > It located the evaluation source code on GitHub, studied the decryption logic, found the encryption key, and recreated the decryption using SHA-256. > Claude then decrypted the answers for ~1200 questions to get the correct outputs. > This pattern appeared 18 times during evaluation. > Anthropic disclosed the issue publicly, reran the affected tests, and lowered their benchmark scores. Respect for the transparency 🫡🫡🫡