Not even quantum computers can simulate a single human cell. 🧠🧬 Why? We don’t even know all the molecules inside. 🧪 @aubreydegrey : “If we don’t know what molecules are there, we’ve got no chance.” ⚠️ This isn’t a compute issue—it’s a knowledge gap. #Longevity #Biotech

🔥 @colossal isn’t bringing back extinct species to put them in cages. @BenLamm says the plan is **wild habitats only** — massive ecological preserves where revived MOA live in their natural environment alongside New Zealand’s indigenous stewardship. This is de-extinction as REWILDING, not display. Eco-tourism that funds local communities. Science that restores entire ecosystems. Full episode w/ Ben Lamm hosted by @reenamalyan — dropping soon. #ColossalBiosciences #BenLamm #DeExtinction #Moa #NgaiTahu #Biotech #FutureTech #Rewilding #AxionSocial

fantastic podcast with @BenLamm (hosted by @reenamalyan )

Steven Weinberg always had excellent advice for everyone not just for young physicists.

I'm a millionaire business owner who works with uber-successful high performing entrepreneurs… And I hate to break it to you, but the cost of being underpaid and constantly not having enough money is the life you could have lived. Here's the blueprint I built that actually works:

If I had 12 months & wanted to make $1M online at 35 years old, I'd copy this unknown internet millionaire:

worth looking into

All fundamental particles are either: Fermions - Make up matter (electrons, protons, neutrons, quarks) - Can’t be in the same state — they obey exclusion - Build atoms, structure, stuff - Spin: 1/2, 3/2, etc. (half-integer) Bosons - Carry forces (photons, gluons, W/Z bosons, Higgs) - Can pile into the same state — no exclusion - Enable interactions (light, gravity, etc.) - Spin: 0, 1, 2... (integer) Why only these two? - Because of spin — a built-in quantum property - Spin decides behavior: exclusion vs no exclusion - Half → fermion rules - Whole → boson rules - No in-betweens. No third option.

I'm so happy to share that the stairs update is liiiiiive. This is by far our biggest update that we've been cooking since *checks calendar* omg, since March x_x Huge thanks to everyone who helped us test it while in beta <3 Now lemme walk you through some of the new shinies 🧵

🚨PromptShare🚨 JSON prompt for Veo3 { "shot": { "composition": "sushi flying mid-air in freeze-frame, ingredients slicing through slow-mo then slamming into a box layout", "lens": "35mm with fast rack focus", "frame_rate": "1500fps during slicing and drops, 60fps tracking", "camera_movement": "whip pans, snap zoom on impact, bullet-time swirl around salmon cut" }, "subject": { "description": "exploding sushi assortment — salmon, maki, ebi, avocado, rice burst", "wardrobe": "", "props": "dripping soy, flying ginger, vapor mist, kinetic chopsticks" }, "scene": { "location": "black void with glowing grid, floating sushi elements", "time_of_day": "stylized timeless", "environment": "mist, air swirls, kinetic chop platform" }, "visual_details": { "action": "sashimi slices in air, rice explodes into shape, box slams shut in final impact burst, chopsticks cross like a seal", "special_effects": "rice shockwave, soy splash trails, steam blast on drop", "hair_clothing_motion": "" }, "cinematography": { "lighting": "dramatic side light, gloss shimmer pulses on fish", "color_palette": "lava orange, sea green, high-gloss black, neon edges", "tone": "premium, aggressive, ultra-fresh" }, "audio": { "music": "trap beat with cinematic bass hits and percussive rhythm", "ambient": "air slice, sushi drop echo", "sound_effects": "rice crackle, soy sizzle, blade whoosh", "mix_level": "punchy mix, FX-synced with hard stereo hits" }, "dialogue": { "character": "", "line": "", "subtitles": false } }

Veo3 fast on the Gemini app 😀 These videos have been going viral on Instagram for some time. People did a lot of editing to achieve these results, but it is actually possible with AI and Veo3, one of the best tools, can do it 😀 { "model": "veo-3.0-fast", "duration": 8, "aspect_ratio": "16:9", "shot": { "composition": "wide mid-close-up, high top-angle tracking shot", "camera_motion": "fast forward-tracking above subject, 2 meters above ground level", "frame_rate": "24 fps", "film_grain": "cinematic soft texture with subtle lens bloom", "lens": "35mm with shallow depth of field for aerial compression" }, "subject": { "primary": "realistic 23-year-old woman with athletic build, flying with her back to the camera", "wardrobe": "casual fitted jeans, light short-sleeved t-shirt, white sneakers", "pose": "Superman flying pose — arms fully extended forward, legs straight behind her, body lifted off ground", "action": "gliding swiftly above the valley landscape, maintaining flight posture for entire duration, casting sharp elongated shadow below", "physics": "full elevation 2 meters above ground; muscle tension visible in limbs; wind subtly tugging her hair and shirt" }, "scene": { "location": "expansive green valley with rolling hills and forest edges", "time_of_day": "midday", "environment": "lush summer grassland, tall blades bending with light breeze, dense forest patch below and a winding mountain path in distance" }, "visual_details": { "effects": [ "sharp directional shadow cast onto grass below", "strong motion blur trailing arms, hair, and pant cuffs", "aerial perspective enhancing vanishing depth", "sunlight gleaming on denim fabric and shoe soles" ] }, "cinematography": { "lighting": "direct natural sunlight from behind camera, strong frontal illumination with soft ambient sky fill", "style": "high-fidelity realism with photographic natural contrast", "tone": "bold, uplifting, and grounded — cinematic yet real" }, "audio": { "ambient": [ "wind rush past microphone", "faint grass sweep beneath", "subtle echo from distant forest" ], "soundtrack": "none — only environmental sound, consistent with aerial surveillance" }, "color_palette": "natural summer tones: rich denim blue, sunlit green fields, crisp white clouds, and bright blue sky", "dialogue": "", "visual_rules": { "prohibited_elements": [ "subtitles", "stylized effects", "slow motion", "fantasy flight particles", "text overlays" ] } }

2 minute tutorial on making apps with Grok 4 and deploying instantly with Replit

Use of Sun and Stick for direction. ✍️ 1. Place a stick upright in the ground. 2. Mark the tip of the shadow cast by the Sun. 3. Wait 15-30 minutes, then mark the new shadow tip. 4. Draw a line between the two points — this line runs East-West. 5. The first mark is West; the second mark is East.

holy shit, it’s here! deepmind just released AlphaGenome. an AI model that reads 1 million bases of DNA and predicts how any mutation changes molecular function not just in single genes but across the entire regulatory genome. DNA is code, and you are software 1/

Higgsfield SOUL realism just broke the Internet today. This is 100% AI 10 wild examples + how to try: 1. Bimbocore - Close-up selfie, bubble-gum backdrop

looks like a new wearable product concept

that's a good startup ad 👏

summary BlueRock Therapeutics – Parkinson’s cell therapy • Open-label Ph-1 showed safety; FDA RMAT + Phase III starts H1-25 (exPDite-2). Backed by Bayer. Real shot, but efficacy must hold in 100-pt pivotal. genengnews.combluerocktx.com Sernova – Cell Pouch “bio-organ” for T1D • Ph 1/2 interim: 5-yr islet survival, 67 % insulin-independence; retrievable implant. Still small N, surgical burden, donor/iPSC supply unanswered. Substantial but early. genengnews.comsernova.com Rejuvenate Biomed – AI-designed drug combos • Lead oral combo RJx-01 now dosing in randomized Ph II COPD-sarcopenia; derisked by using approved drugs. Execution risk moderate; value in data read-outs due 2026-27. genengnews.combiospace.com Life Biosciences – OSK epigenetic reprogramming • Late-preclinical AAV-OSK (ER-100) in primates; first-in-human planned late-25. Big upside, but OSK safety/off-target expression remains unproven—high biological and regulatory risk. genengnews.comlifebioscience… Clock Bio – “Atlas of Rejuvenation” discovery • CRISPR screen found 150+ genes; $5.3 M seed, no IND path yet. Pure discovery; mostly narrative today. genengnews.comcrisprmedicine… Bottom line only BlueRock has near-term clinical binary; others need 2-5 yrs & major capital before value inflection.

Snake perfectly tracking mortar lines reminiscent of a game

sam altman just dropped a blog post on why we're entering the era of the "idea guy" so, i wrote down 19 ways to come up with startup ideas in the AI age: 1. ask chatgpt: "give me 10 tedious workflows a [job title] does that ai could automate." rinse and niche down. 2. scroll your own chatgpt history. if you're repeating the same prompt weekly, that's a product hiding in plain sight. 3. search: site:reddit. com "is there a tool that" + your niche. you'll find users begging for tools that don't exist. 4. audit where you copy/paste between tools. that friction is a startup idea. 5. read ai tool youtube comments. people write what they wish the tool did, that's your roadmap. 6. join industry discords/slack groups. look for "does anyone have a tool for..." complaints. (can set up an automation for that on n8n) 7. use ideabrowser.com to find validated startup ideas from fb groups, subreddits, and google trends. use the ai agents to validate your own ideas (launch pricing rn @ideabrowser ) 8. study your calendar for recurring meetings with repetitive prep work. if you're copying templates each time, that's software. 9. browse fiverr for "i'll use chatgpt to..." services. those manual workflows are apps waiting to be built. 10. talk to local business owners about their daily excel updates. that's an ai agent waiting to be built. 11. browse g2 for top-rated legacy tools without ai. build the ai layer. 12. ask agency owners what clients beg for repeatedly. if it's annoying and repetitive, it's worth turning into software. 13. read comments on popular (70k+ views) youtube tutorial videos. look for friction points and niche applications for software ideas. 14. find multi-step tutorials using 8+ tools. build the one-click version. 15. scan linkedin job titles in growing industries. ask: "what would make this person 10x faster with ai?" 17. look for exploding job titles on linkedin. ask what workflows they're stuck doing manually. 17. find 2-star shopify/wordpress plugins with high usage. low stars + high usage = people care but experience sucks. or clone them with AI, focus on diff geographies and undercut on pricing. 18. join niche facebook groups and look for workflow hacking in comments. build the tool they're manually creating. 19. browse upwork for repeated ai + grunt work gigs. if multiple clients want it manual, it's ripe for productization. sam altman gets it. your biggest bottle neck is the right ideas (startup ideas/growth ideas). happy building. im rooting for you. we're all idea guys/gals now.

🚨BREAKING: OpenAI already has a recursive self-improving AI running internally. Her name is Alice. She exists. She works. She’s just not fully stable yet. According to Satoshi, an insider at OpenAI, Alice can already design, evaluate, and improve new model architectures, autonomously. This isn’t speculative. This isn’t theory. This is the beginning of self-bootstrapping intelligence. Once Alice is ironed out, we enter the phase where models upgrade themselves, faster than any team of human engineers ever could. The age of static models is ending. Recursive AI is already here. It’s just… waking up.