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How many people has Elon Musk personally murdered via his work helping defund USAID? I've run the numbers. USAID, as people outside of CNN's viewership already know, operates largely as a CIA cutout, placing assets on the ground in countries where the U.S. govt is intervening politically. USAID was instrumental is helping seed the following revolutions/coup d'états/civil wars: Serbia — Bulldozer Revolution (Oct. 2000) Venezuela — coup attempt + sustained OTI funding (April 2002) Georgia — Rose Revolution (Nov. 2003) Ukraine — Orange Revolution (2004) Haiti — Ouster of Aristide (Feb. 2004) Lebanon — Cedar Revolution (2005) Belarus — opposition funding, "Jeans Revolution" and after — attempted, failed (2006) Honduras — Coup against Zelaya (Jun. 2009) Cuba — ZunZuneo / "Cuban Twitter" — attempted, failed (2010–12) Tunisia — "Arab Spring" (2011) Egypt — "Arab Spring" (2011–12) Ukraine — Euromaidan / Revolution of Dignity (2014) Bolivia — anti-Morales funding; 2013 expulsion; 2019 ouster Kyrgyzstan — Tulip Revolution (March 2005) Without U.S. intervention, it's hard to see how any of these would have gotten off the ground. Some back-of-the-envelope math on these conflicts' bodycount: Venezuela (2002): 19 Haiti (2004): ~300 Maidan event (2014): ~100+ killed. Bolivia (2019): 36 Donbas war (2014–2022): 14,200–14,400 military & civilian deaths. Ukraine full-scale war (2022–present), deaths, both sides, mil + civ: roughly 350,000–500,000 killed. So far we're up to somewhere north of 365,000 deaths, more likely north of 500K. What else do we have? USAID also helped fund poppy (heroin) farmers in Afghanistan. Unfortunately I haven't seen estimates of how many have died as a result of this taxpayer funded drug dealing, but I'm assuming they're not small numbers. USAID also worked with groups sexually abusing/trafficking children in Kenya (2021), and the Central African Republic (2013). Much earlier, during Vietnam, USAID helped the CIA arm & feed Hmong guerrillas fighting communist forces (not the worst thing). USAID also helped the Hmong militia & other warlords smuggle opium (a far less forgivable thing). While the final tally is hard to properly calculate, if past is predicate, in helping shutdown USAID, @elonmusk could be saving hundreds of thousands of lives, thousands of African children, & millions of people around the world susceptible to opiate addiction. Get this man a Peace Prize, @NobelPrize

🍌 nano banana pro prompt 🍃 One leaf, one world. Intricate leaf-cutout art brings enchanting scenes to life with mesmerizing detail! --- Prompt Template --- Inspired by leaf-cutout art, delicately depict 【scene description】 through intricate hollow cutouts on a single, complete 【type of leaf, optional, default: green leaf】. All elements are organically connected by thin natural veins, ensuring no isolated or floating segments. The leaf surface has a glossy, wet appearance with tiny sparkling water droplets. Soft sunlight gently illuminates the leaf, creating subtle highlights and shadows. Background features a softly blurred natural landscape, providing a tranquil atmosphere, captured in ultra-detailed 8K resolution for macro-level realism. (Optional dynamic effects: drifting dandelion fluff, gently falling water droplets.) --- Prompt Example 1 --- Inspired by leaf-cutout art, delicately depict a child running joyfully with a kite through intricate hollow cutouts on a single, complete maple leaf. All elements are organically connected by thin natural veins, ensuring no isolated or floating segments. The leaf surface has a glossy, wet appearance with tiny sparkling water droplets. Soft sunlight gently illuminates the leaf, creating subtle highlights and shadows. Background features a softly blurred spring meadow, providing a vibrant and cheerful atmosphere, captured in ultra-detailed 8K resolution for macro-level realism. Dynamic effect: drifting dandelion fluff gently floating in the air. --- Prompt Example 2 --- Inspired by leaf-cutout art, delicately depict a couple sitting on a bench beneath a blossoming tree through intricate hollow cutouts on a single, complete cherry leaf. All elements are organically connected by thin natural veins, ensuring no isolated or floating segments. The leaf surface has a glossy, wet appearance with tiny sparkling water droplets. Soft sunlight gently illuminates the leaf, creating subtle highlights and shadows. Background features a softly blurred park scene in springtime, providing a romantic atmosphere, captured in ultra-detailed 8K resolution for macro-level realism. Dynamic effect: gently falling water droplets sliding off the leaf edges. --- Prompt Example 3 --- Inspired by leaf-cutout art, delicately depict a fisherman casting a line into a serene lake through intricate hollow cutouts on a single, complete green leaf. All elements are organically connected by thin natural veins, ensuring no isolated or floating segments. The leaf surface has a glossy, wet appearance with tiny sparkling water droplets. Soft sunlight gently illuminates the leaf, creating subtle highlights and shadows. Background features a softly blurred lakeside landscape, providing a calm, peaceful atmosphere, captured in ultra-detailed 8K resolution for macro-level realism. Dynamic effect: drifting dandelion fluff gently floating through the air.

For context yes X-2 was my first FF! Yes before FFX. I saw a cardboard cutout stand of Rikku in my local game store and was like damn… she cute. Bought the game cause of that. Never looked back. X-2 haters DNI🔥

Did you know Calendly founder Tope Awotona had already tried several business ideas before Calendly? Those earlier ventures did not become breakout successes, but they were far from wasted 🔥 Each attempt exposed him to different customers, different problems, and different lessons about what people truly valued. Many first-time founders treat an unsuccessful idea as proof they are not cut out for entrepreneurship. One disappointing launch or failed experiment becomes a verdict on their ability instead of another step in developing it 🤯 But the real value of an early business idea is often what it teaches you. Every experiment helps you better understand customer pain, buying behaviour, market timing, and the kinds of problems people are genuinely willing to pay to solve. 💡 After every business venture you tried, ask yourself: → What surprised me? → How did customers actually respond? → What would I do differently next time? Then carry those lessons into your next idea instead of starting from zero again. Every thoughtful experiment makes you a more capable founder. Over time, those lessons improve your judgement, sharpen your decisions, and increase your chances of building the business that finally takes off. As always, keep going and growing. 👉 Follow @bMightie for more founder intelligence for solo founders and bootstrapped businesses on the journey from day zero to takeoff. #founderstory# #startupstory# #founderjourney# #founderlife#

kimi k3 vs gpt 5.6 sol vs fable 5 vs grok 4.5 @Kimi_Moonshot just dropped kimi k3 – a 2.8t param native multimodal model, the first open 3t-class release. key facts: • 1m token context. stable latentmoe activating 16 of 896 experts, built on kimi delta attention (kda) and attention residuals • quantization-aware training from the sft stage onward – mxfp4 weights, mxfp8 activations. moonshot claims ~2.5x scaling efficiency over k2 • max thinking effort by default. low- and high-effort modes are "coming in updates" – there is no way to turn the thinking down today, and you feel it in every run • pricing: $0.30/mtok cache-hit input, $3.00/mtok cache-miss, $15.00/mtok output. claims >90% cache hit rate on coding workloads • benchmarks: swe marathon 42.0 (1st – fable 5: 35.0, sol: 39.0, opus 4.8: 40.0), terminal bench 2.1 88.3, browsecomp 91.2 (1st), program bench 77.8 (1st), gpqa-diamond 93.5. loses frontierswe 81.2 vs fable's 86.6, and deepswe 67.5 vs sol's 73.0 our test – 3 prompts, single-file html, @threejs, fully procedural, no assets: 1. photorealistic european roulette wheel – 37 pockets in the real sequence, mahogany clearcoat bowl, chrome turret, diamond deflectors, flick-to-spin, ball that spirals inward and settles on a mathematically real number 2. las vegas slot machine – 3 reels behind transmissive glass, drag the chrome lever to play, mechanical odometer counters modelled in 3d, coin physics on win 3. full pinball table – 6.5° tilted playfield, flipper impulse physics, spline ramps, drop targets, 6 bumpers, mechanical score reels in the backbox we ran the test on @aimlapi platform results: - cost #1# grok 4.5 – $0.30 #2# kimi k3 – $0.71 #3# gpt 5.6 sol – $2.05 #4# fable 5 – $7.69 - tokens #1# grok 4.5 – 34,241 #2# gpt 5.6 sol – 51,748 #3# fable 5 – 144,126 #4# kimi k3 – 157,999 - lines of code #1# gpt 5.6 sol – 3,054 #2# grok 4.5 – 3,047 #3# kimi k3 – 2,255 #4# fable 5 – 1,950 - generation time #1# grok 4.5 – 5.1 min #2# gpt 5.6 sol – 22.0 min #3# fable 5 – 31.5 min #4# kimi k3 – 75.6 min observations: • kimi k3 is cheap and it is slow. 75.6 minutes across three prompts against grok's 5.1. it is 2.4x grok's price and 15x grok's wall clock. the roulette took 15 min, the slot 18, the pinball 42 • it failed 2 of 3. only the roulette works. the slot machine has reel cutouts on both faces of the cabinet and the symbols face backwards – you can only read your spin by walking around to the rear of the machine. the pinball table stands vertically on its edge with the legs floating detached beside it. • 81% of kimi's output tokens are reasoning, not code. grok: 22%. you are not paying for a bigger answer, you are paying for a longer argument with itself • price per 100 shipped lines – grok $0.010, kimi $0.031, sol $0.067, fable $0.394. a 39x spread for the same three files kimi k3's code quality: upsides: • the roulette is genuinely good – procedural wood grain with real specular breakup, correct european sequence (0-32-15-19-4...), chrome turret, diamond deflectors, clean console • the pinball artwork is the best in the test – a synthwave "nova strike / deep space" field with six individually coloured neon bumper rings, a retro sun on a grid horizon, a nova burst, and a scoring legend printed on the apron. no other model printed the rules on the machine. it is a beautiful texture on a broken object • physics reasoning is real – it derived a 480hz substep for the collider, worked out ball settle conditions and termination guarantees, and checked every ramp exit vector by hand before writing any of it • it is the only model that saw the importmap trap coming. sol shipped a blank white page twice because three.js addons import the bare specifier 'three' and die without an import map downsides: • it dodged that trap on the slot by loading three.js r128 through classic script tags – a 2021 build with no working transmission. its slot glass rendered fully opaque and buried all three reels behind a white pane. the code asks for transmission: 0.93, ior: 1.5 – correct, and silently ignored by a renderer that predates the feature • after 42 minutes and 212k characters of reasoning, the pinball cabinet is not assembled. the table stands vertically on its edge like a wardrobe – the prompt asked for 6.5° from horizontal, it delivered 90°. the legs float detached in the void beside it. head-on it photographs beautifully; orbit ten degrees and it is a painted slab with four chrome rods hovering nearby • the playfield z-fights with the glass – hard black banding across the whole field as soon as you pull the camera back a note on the pinball, in fairness to kimi: nobody passed it. every model shipped broken ball physics and controls you cannot trust. it is the hardest prompt we have run and the whole field failed it, each in its own way kimi k3 reasons better than anything else here and it shows exactly where reasoning pays – physics constants, sequences, edge cases, traps the others walked into follow @thehypedotnews for 24/7 ai news, analysis and breakdowns

Starbucks spends $400 million a year on software. Yesterday they announced they're moving off IBM and Microsoft to build their own custom systems in-house. IBM dropped 3% and Salesforce dropped 4% on the news. And honestly this is, unequivocally, the biggest signal I've seen since OpenAI and Anthropic launched their consulting arms back in Q1. The largest companies in the world are done paying for software that half fits how they work. We saw this coming about a year ago. Moved everything we build off Airtable and low-code tools and went fully custom. Already paying off, and it's only going to compound from here. This is the opportunity right now. You get all of a company's data into one system. You build out a single operating system for the entire business. You cut out bad, redundant processes. Then you layer AI on top of it, under the correct processes. That's the core of AI consulting. Helping companies actually operate better. There are a lot of fly-by-night offerings circulating right now when it comes to Ai Services. For example, 'second brains'. Throwing scattered data into a second brain while the processes underneath stay broken does nothing. The companies who will absolutely destroy their competition over the next 5 years are rebuilding how they work from the ground up. Starbucks is showing you what other companies will be doing over the next several years. Your job is to position yourself to facilitate that process for as many companies as you can.

🚨Missouri may get rid of their state income tax This is HUGE Florida doesn’t have state income tax and has a budget surplus of $2.1 billion Turns out when you cut out fraud and NGO money laundering, you can save billions of dollars