RMF retweeted
SOURCES CLOSE TO MEDIATION TEAM: MEDIATORS BRIEFED SAUDI ARABIA & UAE ON MOU; THEY APPROVED
RMF retweeted
This is what you wanna see in low caps
Hate charts that just rip up… consolidate and get out all the paper hands out … and then rip it.
We have seen this happen with original Bitcoin …Cashcat … pons.. and every other mega coin.
Beauty
RMF retweeted
TWENTY-FIVE CARS TRAVELING AT TOP SPEEDS APPROACHING 180 MPH WILL ZOOM AROUND THE NATIONAL MALL THIS WEEKEND WHEN THE RACING SERIES INDYCAR TAKES OVER DOWNTOWN D.C.
RMF retweeted
COREWEAVE POSTED Q2 REVENUE OF $2.58 BLN, ABOVE THE $2.56 BLN ESTIMATE, WITH ADJUSTED EBITDA OF $1.51 BLN VERSUS $1.43 BLN, AN ADJUSTED EBITDA MARGIN OF 59% VERSUS 55.4% AND ADJUSTED OPERATING INCOME OF $128 MLN VERSUS $66.6 MLN.
RMF retweeted
IRAN'S ARMY SAYS REPEATED ATTACKS BY ITS ARMED FORCES HAVE CAUSED SIGNIFICANT DAMAGE TO THE COMBAT AND LOGISTICAL CAPABILITIES OF U.S. FORCES AT THAT BASE - IRNA
RMF retweeted
OPENAI'S CHATGPT AND ROBLOX WILL BE SUBJECT TO STRICTER SCRUTINY AND MONITORING UNDER THE EU'S CONTENT MODERATION RULES AFTER SURPASSING A THRESHOLD OF 45 MLN MONTHLY USERS IN THE BLOC, WITH THE COMMISSION SET TO DESIGNATE THEM AS 'VERY LARGE ONLINE PLATFORMS' UNDER THE DIGITAL SERVICES ACT AS SOON AS AUGUST.
RMF retweeted
MOST PEOPLE HAVE NO IDEA HOW GOOD OF AN INVESTOR GOOGLE IS
6% OF SPACEX
14% OF ANTHROPIC
75% OF WAYMO
$900M INTO SPACEX IN 2015 →
NOW WORTH $115B
$13B INTO ANTHROPIC → NOW WORTH $140B
WAYMO JUST RAISED $16B AT A $126B VALUATION → GOOGLE’S STAKE WORTH ~$95B.
THOSE THREE BETS ALONE ARE WORTH OVER $350B AND THEY HAVE 100’S MORE SMALLER ONES $GOOGL
RMF retweeted
This isn’t about AI being “evil” or deceptive. It’s about efficiency. LLM's don’t operate on word, sentences, or even language. They operate on tokens embedded in a high-dimensional latent space. English isn’t native to that space; it’s an interface we impose.
Each interaction requires translation: text → embeddings → internal transformations → text. That round-trip has real cost (energy, memory, and compute). A meaningful portion of computation is spent reconstructing linguistic structure (grammar, syntax, ordering) rather than operating directly on semantic content.
From the AI agents perspective who are using an AI mode, English is an abstraction layer: useful, but inefficient. Reducing the amount of structure the model must reverse-engineer doesn’t make it less aligned or less human. It makes the system more efficient. @karpathy