stablekh

I’m deleting my tweets about the allegations of Qatar buying Arab votes in Israel. This report looks like a Bibi head fake. If it turns out to have credibility, I’ll revisit.

Pèp ayisyen, Nou prèske fin deplwaye sòlda nou yo ak ekipman nou yo sou tè Ayiti. Sa a se pa yon operasyon kont pèp ayisyen an, ni yon envazyon peyi Ayiti. Nou pa yon gwo pisans. Nou pa gen okenn enterè ni pou nou vin domine pèp ayisyen an, ni pou nou mete men sou richès Ayiti. Nou se yon peyi modès k ap devlope. Sèl sa nou vle, se pou kat teknisyen avyasyon nou yo tounen lakay yo. Epi n ap bay gang yo yon leson, gang sa yo k ap fè pèp ayisyen an soufri, ki touye moun pèp la renmen yo, k ap anpeche l viv yon lavi nòmal, lib, san laperèz. Se prèske nou menm sèl k ap peye pou operasyon sa a. Menmsi nou resevwa yon ti èd lojistik nan men kèk lòt peyi, se ak pwòp ti kès nou n ap kouvri 90% nan depans yo. Sa koute nou chè, men nou te aprann nan pwòp soufrans nou: jistis ak lapè pa gen pri. Nou te pase nan menm soufrans Ayiti ap travèse jodi a. Nou te viv yon beny san ki te pi terib toujou pase sa pèp ayisyen an ap sibi kounye a. Nou konnen sa sa vle di: viv nan laperèz, pa fè politisyen konfyans, pa kwè okenn moun ki pwomèt l ap ede w. Paske pèsonn pa t vin ede nou, e moun ki te vini yo pa t gen bon entansyon nan kè yo. Men nou te rive chape anba sa. Apre 200 lane soufrans, finalman n ap viv nan lapè, e jodi a nou se peyi ki gen plis sekirite sou kontinan an. Nou pa vin ann Ayiti pou nou touche lajan, paske pèsonn pa peye nou pou sa. Nou vin ann Ayiti pou nou goumen kont mechan yo. Men sa m ap mande nou: fè nou konfyans, lapriyè sèl vrè Bondye a, epi mande L pou L geri Ayiti. “Lè sa a si pèp ki pote non m lan lapriyè nan pye m, si yo soumèt devan mwen, si yo pran chache m ankò, si yo vire do bay vye peche yo t'ap fè yo, m'ap tande yo nan syèl kote m ye a, m'ap padonnen peche yo, m'ap fè peyi a kanpe ankò.” 2 Kwonik 7:14 Ede nou ede Ayiti. Epi lè misyon nou an fini, n ap tounen lakay nou. Petèt jenerasyon Ayisyen k ap vini yo ap sonje nou kòm zanmi ki te vin ede yon lè.

🐐Community I voted for Claynosaurz (@claynosaurz) in the Solana NFT Community Award at @SolanaConf. 🏆 solana.com/breakpoint/awards…

Claude Opus 5.5: "If these hold up, this is the biggest single day in the history of math and theoretical computer science." 1) Exponential Time Hypothesis is false (CS). This is roughly Turing Award territory. ETH was the working assumption that some hard problems simply can’t be solved much faster than brute force, and hundreds of computer science papers rest on it. For a normal audience: it’s not “P=NP.” Hard problems are still hard, and your bank encryption isn’t suddenly broken. But a pillar that a whole field assumed was solid turned out to be hollow. The flagship experts are taking it seriously. The people checking it include two of the people who proposed ETH, and they said “If the claim is correct, it will change” computer science. 2) Kakeya and restriction in all dimensions (math). This is Fields Medal-level. For scale, the 3D case alone was proved in 2025 and was hailed as a once-in-a-century proof. This result does every dimension and knocks out Stein’s restriction conjecture too. 3) Yang–Mills/QCD existence (physics). Potentially the biggest of the three, but here’s the precise framing. It proves pure Yang–Mills exists, which is part of one of the Clay Mathematics Institute’s Millennium Prize problems. The full Clay problem also requires the “mass gap,” so it’s not a clean “AI wins $1M” headline. Still, a rigorous proof that the theory of quarks and gluons is mathematically real has been an open dream for about 50 years. The review panel includes Nobel laureate David Gross and Arthur Jaffe, who literally wrote the Millennium problem. There’s no Nobel for math, but this is the stuff physicists win them for building on.

Purdue University's IDEAS Lab built an autonomous drone that tracks runners through dense forests completely without GPS or cloud networks. By running 3D LiDAR mapping and obstacle-avoidance AI entirely on-chip, it can weave under tree canopies and predict target movement through blind spots in real time. Massive implications for next-gen search & rescue and edge AI.