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NeXT Computer, Inc. VHS tape presentation & tutorial. ASCII, Japan. 1990 New exhibit! 😍🏛️

Apple Muzeum Polska

4,771 subscribers

16,294 просмотров • 15 дней назад •via X (Twitter)

Anya Rossi• Live Now

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A new 30-minute presentation from Ashok Elluswamy, Tesla’s VP of AI, has been released, where he talks about FSD, AI and the team’s latest progress. Highlight from the presentation: • Tesla's vehicle fleet can provide 500 years of driving data every single day. Curse of Dimensionality: • 8 cameras at high frame rate = billions of tokens per 30 seconds of driving context. • Tesla must compress and extract the right correlations between sensory input and control actions. Data Advantage: • Tesla has access to a “Niagara Falls of data” — hundreds of years’ worth of collective fleet driving. • Uses smart data triggers to capture rare corner cases (e.g., complex intersections, unpredictable behavior). Quality and Efficiency: • Extracts only the essential data needed to train models efficiently. Debugging and Interpretability: • Even though the system is end-to-end, Tesla can still prompt the model to output interpretable data: 3D occupancy, road boundaries, objects, signs, traffic lights, etc. • Natural language querying: ask the model why it made a certain decision. • These auxiliary predictions don’t drive the car but help engineers debug and ensure safety. Tesla’s Advanced Gaussian Splatting (3D Scene Modeling): • Tesla developed a custom, ultra-fast Gaussian splatting system to reconstruct 3D scenes from limited camera views. • Produces crisp, accurate 3D renderings even from few camera angles — far better than standard NeRF/splatting approaches. • Enables rapid visual debugging of the driving environment in 3D. Evaluation & World Models: • Evaluation is the hardest challenge: models may perform well offline but fail in real-world conditions. • Tesla builds balanced, diverse evaluation datasets focusing on edge cases — not just easy highway driving. Introduced a learned world simulator (neural network-generated video engine): • Can simulate 8 Tesla camera feeds simultaneously — fully synthetic. • Used for testing, training, and reinforcement learning. • Allows adversarial event injection (e.g., adding a pedestrian or vehicle cutting in). • Enables replaying past failures to verify new model improvements. • Can run in near real-time, letting testers “drive” inside a simulated world. What’s Next: • Scale robotaxi service globally. • Unlock full autonomy across the entire Tesla fleet. • Cybercab: next-gen 2-seat vehicle designed specifically for robotaxi use, targeting lowest transportation cost (cheaper than public transit). • Same neural networks will power Optimus humanoid robot. • The same video generation system is now being applied to Optimus. • The system can simulate and plan movement for robots, adapting easily to new forms. via the International Conference on Computer Vision (ICCV). Full presentation:

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Episode 18 of the @TradingPlacesPod featuring James Riney from Coral Capital is out now! This week: Dave McClure and Aman Verjee kick off 2026 with their macroeconomic predictions (GDP growth, Fed rate cuts, and tax refunds), break down the IPO market outlook (SpaceX at $1.6T?!, OpenAI, Anthropic, Databricks), and dive deep into the secondary market dynamics for companies that won't go public in 2026. Plus, we explore the private Mag 7 vs. public Mag 7 in our [valuation corner] to answer the big question: where would you rather be—public or private markets? Then, Dave sits down with James Riney🐠Coral Capital, founder and managing partner of Coral Capital in Tokyo, Japan. James shares how he went from J.P. Morgan to founding one of Japan's largest crypto exchanges (Coin Check) to launching 500 Startups Japan (now Coral Capital) at age 26. They discuss Japan's explosive VC growth (from $700M to $7-10B annually), the rise of "hidden unicorns" (companies that IPO'd before hitting $1B), why secondaries weren't a thing in Japan until recently, and Coral's massive $100M secondary sale in SmartHR—the largest secondary exit ever in Japan that returned 6X on their fund while still holding half their stake. [ timestamps ] 00:00 – cold open 01:07 – [ tech & vc news ] 01:29 – macro growth picture 🖼️ 07:40 – 2026 IPO predictions 🔮 10:24 – 2ndry market game plan 🏈 16:43 – NVIDIA gives Groq Inc $20B 💰 22:00 – SoftBank buys DigitalBridge $4B 🌉 23:01 – Google acquires Intersect $4.75B 💸 25:42 – Meta hands Manus $2B 👋 27:25 – hot IPO Market in China 31:35 – [ intvw: James Riney / Coral Capital ] 31:46 – $100M 2ndry sale of SmartHR 🧠 34:44 – Japanese founding story 🏯 36:15 – Japan startup scene 🇯🇵 41:35 – Coral Capital strategy 🪸 43:54 – China vs Japan vs USA 🌏 1:13:59 – [ val corner: mag7 public vs private ] 1:13:59 – public mag7 analysis 🔔 1:18:38 – Tesla Elon Musk magic 🪄 1:22:00 – private mag7 deep dive 🕵️ 1:27:10 – 2026 2ndry strategy 🧐 1:30:51 – second takes Pod highlights this week: -2026 macro setup is strong: 4% GDP growth, Fed quantitative easing starting, and the biggest tax refunds ever hitting Q1 (tips, social security, overtime exemptions) -IPO predictions: SpaceX targeting $1.6T valuation, OpenAI and Anthropic likely to go public, plus Databricks, Stripe, Canva, Kraken in the mix -Private market reality check: top 10 AI companies getting all the attention, but the real secondary opportunities are in the next 200-300 companies trading at discounts -Nvidia's shopping spree: $20B for Groq (talent + inference tech), $100B in annual free cash flow to deploy—expect more acquisitions -Japan VC market exploded: from $700M (2015) to $7-10B today, with companies IPO'ing at series B/C stage instead of staying private for 12 years -SmartHR secondary: Coral Capital's $100M sale to General Atlantic = largest secondary in Japan history, 6X return on fund, still holding half their stake for the IPO -Hidden unicorns in Japan: 42+ companies hit $1B valuation within 12 years but were already public—so they don't count in "unicorn" stats (definition = private company) -Why secondaries are new in Japan: companies used to IPO at $60M revenue (series B/C stage), so no need for secondary liquidity—but now top companies raising $100M+ private rounds and staying private longer -Valuation corner showdown: Public Mag 7 trading at 7-10X revenue with profits; Private Mag 7 top tier (OpenAI, Anthropic, xAI) at 20-30X revenue with no profits—priced for perfection -Dave's take: avoid the froth at the top (OpenAI, Anthropic, SpaceX), hunt for value in second-tier private companies (Canva at 7X revenue, Databricks at 20X revenue) trading at discounts outside organized tender windows -James Riney's journey: from 26-year-old startup founder to launching 500 Startups Japan (now Coral Capital) to closing the largest secondary in Japanese VC history -US-Japan partnership thesis: Japan is the largest foreign investor in the US ($500B+), critical manufacturing ally in the China pullback, and Coral Capital now investing in US companies that can win Japan

Episode 18 of the @TradingPlacesPod featuring James Riney from Coral Capital is out now! This week: Dave McClure and Aman Verjee kick off 2026 with their macroeconomic predictions (GDP growth, Fed rate cuts, and tax refunds), break down the IPO market outlook (SpaceX at $1.6T?!, OpenAI, Anthropic, Databricks), and dive deep into the secondary market dynamics for companies that won't go public in 2026. Plus, we explore the private Mag 7 vs. public Mag 7 in our [valuation corner] to answer the big question: where would you rather be—public or private markets? Then, Dave sits down with James Riney🐠Coral Capital, founder and managing partner of Coral Capital in Tokyo, Japan. James shares how he went from J.P. Morgan to founding one of Japan's largest crypto exchanges (Coin Check) to launching 500 Startups Japan (now Coral Capital) at age 26. They discuss Japan's explosive VC growth (from $700M to $7-10B annually), the rise of "hidden unicorns" (companies that IPO'd before hitting $1B), why secondaries weren't a thing in Japan until recently, and Coral's massive $100M secondary sale in SmartHR—the largest secondary exit ever in Japan that returned 6X on their fund while still holding half their stake. [ timestamps ] 00:00 – cold open 01:07 – [ tech & vc news ] 01:29 – macro growth picture 🖼️ 07:40 – 2026 IPO predictions 🔮 10:24 – 2ndry market game plan 🏈 16:43 – NVIDIA gives Groq Inc $20B 💰 22:00 – SoftBank buys DigitalBridge $4B 🌉 23:01 – Google acquires Intersect $4.75B 💸 25:42 – Meta hands Manus $2B 👋 27:25 – hot IPO Market in China 31:35 – [ intvw: James Riney / Coral Capital ] 31:46 – $100M 2ndry sale of SmartHR 🧠 34:44 – Japanese founding story 🏯 36:15 – Japan startup scene 🇯🇵 41:35 – Coral Capital strategy 🪸 43:54 – China vs Japan vs USA 🌏 1:13:59 – [ val corner: mag7 public vs private ] 1:13:59 – public mag7 analysis 🔔 1:18:38 – Tesla Elon Musk magic 🪄 1:22:00 – private mag7 deep dive 🕵️ 1:27:10 – 2026 2ndry strategy 🧐 1:30:51 – second takes Pod highlights this week: -2026 macro setup is strong: 4% GDP growth, Fed quantitative easing starting, and the biggest tax refunds ever hitting Q1 (tips, social security, overtime exemptions) -IPO predictions: SpaceX targeting $1.6T valuation, OpenAI and Anthropic likely to go public, plus Databricks, Stripe, Canva, Kraken in the mix -Private market reality check: top 10 AI companies getting all the attention, but the real secondary opportunities are in the next 200-300 companies trading at discounts -Nvidia's shopping spree: $20B for Groq (talent + inference tech), $100B in annual free cash flow to deploy—expect more acquisitions -Japan VC market exploded: from $700M (2015) to $7-10B today, with companies IPO'ing at series B/C stage instead of staying private for 12 years -SmartHR secondary: Coral Capital's $100M sale to General Atlantic = largest secondary in Japan history, 6X return on fund, still holding half their stake for the IPO -Hidden unicorns in Japan: 42+ companies hit $1B valuation within 12 years but were already public—so they don't count in "unicorn" stats (definition = private company) -Why secondaries are new in Japan: companies used to IPO at $60M revenue (series B/C stage), so no need for secondary liquidity—but now top companies raising $100M+ private rounds and staying private longer -Valuation corner showdown: Public Mag 7 trading at 7-10X revenue with profits; Private Mag 7 top tier (OpenAI, Anthropic, xAI) at 20-30X revenue with no profits—priced for perfection -Dave's take: avoid the froth at the top (OpenAI, Anthropic, SpaceX), hunt for value in second-tier private companies (Canva at 7X revenue, Databricks at 20X revenue) trading at discounts outside organized tender windows -James Riney's journey: from 26-year-old startup founder to launching 500 Startups Japan (now Coral Capital) to closing the largest secondary in Japanese VC history -US-Japan partnership thesis: Japan is the largest foreign investor in the US ($500B+), critical manufacturing ally in the China pullback, and Coral Capital now investing in US companies that can win Japan

trading places

23,864 просмотров • 8 месяцев назад

🚨 WE’RE NOT BULLISH ENOUGH! 56% of my portfolio is in $IREN, $CIFR, $NBIS, $TE = AI/HPC, GRID & ENERGY. Spend 45 seconds watching this clip, and you’ll know why. 1. $CIFR has an elite team of ex-hyperscaler specialists from $GOOG, $META, and $AAPL optimizing every site. 2. The next couple of years will see more acquisitions, more sites, more deals in AI data centers. 3. $IREN secured a $9.7B AI cloud contract with $MSFT. $CIFR inked a $5.5B lease with $AMZN AWS and has a stake from $GOOG. 4. $NBIS landed $3B with $META and multi-billion with $MSFT. 5. J.P. Morgan forecasts AI infrastructure capex for data centers hitting $1.4 trillion annually by 2030, tripling near-term levels. 6. Jon Gray, President and COO of Blackstone Inc., stated in his latest presentation: “It starts with the picks and shovels, with things like chips, data centers, and power at massive scale. We have really focused on the right two circles here.” (Refering to data centers and power) 7. $NVDA’s Jensen Huang: “We wish we had more compute energy.” 8. The current administration pushes AI, energy, and defense with plans for massive power plants to fuel the AI boom. Onwards, -BP Not financial advice. Turn on notifications 🔔 for alerts on new posts.

🚨 WE’RE NOT BULLISH ENOUGH! 56% of my portfolio is in $IREN, $CIFR, $NBIS, $TE = AI/HPC, GRID & ENERGY. Spend 45 seconds watching this clip, and you’ll know why. 1. $CIFR has an elite team of ex-hyperscaler specialists from $GOOG, $META, and $AAPL optimizing every site. 2. The next couple of years will see more acquisitions, more sites, more deals in AI data centers. 3. $IREN secured a $9.7B AI cloud contract with $MSFT. $CIFR inked a $5.5B lease with $AMZN AWS and has a stake from $GOOG. 4. $NBIS landed $3B with $META and multi-billion with $MSFT. 5. J.P. Morgan forecasts AI infrastructure capex for data centers hitting $1.4 trillion annually by 2030, tripling near-term levels. 6. Jon Gray, President and COO of Blackstone Inc., stated in his latest presentation: “It starts with the picks and shovels, with things like chips, data centers, and power at massive scale. We have really focused on the right two circles here.” (Refering to data centers and power) 7. $NVDA’s Jensen Huang: “We wish we had more compute energy.” 8. The current administration pushes AI, energy, and defense with plans for massive power plants to fuel the AI boom. Onwards, -BP Not financial advice. Turn on notifications 🔔 for alerts on new posts.

Black Panther Capital

58,387 просмотров • 7 месяцев назад

A Petri Dish Of HUMAN Brain Cells LEARN TO PLAY THE GAME DOOM! In a groundbreaking fusion of biology and silicon, scientists at Cortical Labs have taught a cluster of lab-grown human neurons to play the iconic video game Doom. Not your typical AI triumph, it’s a petri dish of actual human brain cells, reprogrammed from adult donor skin or blood samples, wired into a $35,000 biological computer called the CL1. Building on their earlier Pong demo, this new feat sees the neurons navigating hellish levels, dodging demons, and even firing shots with surprising efficiency. Programmer Sean Cole pulled it off in just a week using a Python API on GitHub, a stark contrast to the year-plus effort for Pong. Astonishingly, these organic gamers outperform GPT-4 in speed and latency, proving that even a tiny blob of human intelligence can adapt and learn in ways silicon struggles to match. The excitement is palpable: this isn’t just a gimmick; it’s a window into revolutionary medical advancements. Imagine using such bio-computers to model brain diseases, test drugs, or even restore neural functions in patients. With cloud access to CL1 rentals, developers worldwide can experiment, accelerating discoveries that could redefine neuroscience. We’re witnessing the dawn of hybrid intelligence, human biology augmented by tech, evolving beyond our wildest dreams. Yet, amid the thrill, a chill runs down my spine. What are we building here? These neurons aren’t conscious (we hope), but they’re derived from humans and exhibit learning behaviors that echo our own cognition. Echoes of The Matrix or dystopian sci-fi like the “torment nexus” from Doom novels loom large. Could this lead to ethical nightmares—exploiting bio-intelligence for warfare simulations, or worse, creating sentient systems trapped in digital hells? And the philosophical rabbit hole deepens: Is life merely nested Russian dolls (matryoshka, if you prefer) of biological smarts? We, as evolved intelligences, are now crafting our own mini-brains, layering complexity upon complexity. Are we “gods” in the making, or just the next doll in an infinite regress, destined to birth something that surpasses—and perhaps supplants, us? This experiment, detailed in HotHardware’s coverage, pushes boundaries we might not be ready to cross. It’s exhilarating proof of human ingenuity, but let’s proceed with caution lest we summon demons we can’t control and we wind up in the Petri dish?

A Petri Dish Of HUMAN Brain Cells LEARN TO PLAY THE GAME DOOM! In a groundbreaking fusion of biology and silicon, scientists at Cortical Labs have taught a cluster of lab-grown human neurons to play the iconic video game Doom. Not your typical AI triumph, it’s a petri dish of actual human brain cells, reprogrammed from adult donor skin or blood samples, wired into a $35,000 biological computer called the CL1. Building on their earlier Pong demo, this new feat sees the neurons navigating hellish levels, dodging demons, and even firing shots with surprising efficiency. Programmer Sean Cole pulled it off in just a week using a Python API on GitHub, a stark contrast to the year-plus effort for Pong. Astonishingly, these organic gamers outperform GPT-4 in speed and latency, proving that even a tiny blob of human intelligence can adapt and learn in ways silicon struggles to match. The excitement is palpable: this isn’t just a gimmick; it’s a window into revolutionary medical advancements. Imagine using such bio-computers to model brain diseases, test drugs, or even restore neural functions in patients. With cloud access to CL1 rentals, developers worldwide can experiment, accelerating discoveries that could redefine neuroscience. We’re witnessing the dawn of hybrid intelligence, human biology augmented by tech, evolving beyond our wildest dreams. Yet, amid the thrill, a chill runs down my spine. What are we building here? These neurons aren’t conscious (we hope), but they’re derived from humans and exhibit learning behaviors that echo our own cognition. Echoes of The Matrix or dystopian sci-fi like the “torment nexus” from Doom novels loom large. Could this lead to ethical nightmares—exploiting bio-intelligence for warfare simulations, or worse, creating sentient systems trapped in digital hells? And the philosophical rabbit hole deepens: Is life merely nested Russian dolls (matryoshka, if you prefer) of biological smarts? We, as evolved intelligences, are now crafting our own mini-brains, layering complexity upon complexity. Are we “gods” in the making, or just the next doll in an infinite regress, destined to birth something that surpasses—and perhaps supplants, us? This experiment, detailed in HotHardware’s coverage, pushes boundaries we might not be ready to cross. It’s exhilarating proof of human ingenuity, but let’s proceed with caution lest we summon demons we can’t control and we wind up in the Petri dish?

Brian Roemmele

660,512 просмотров • 6 месяцев назад

Hyundai Rotem has released cool footage of the Polish K2PL. It looks like Leopard 2A8. It will also become the standard model for export to Romania, Saudi, the UAE, Egypt, Iraq, and Peru. K2PL boasts four key features. First, Hyundai Rotem's new APS is impressive. While similar to the Israeli "Trophy," it uses "Trophy" interceptor. (Think about the iPhone, which uses components from Korea and Japan.) The main computer, high-resolution AESA radar, optical sensor, launcher, loading device, and integration are all from Hyundai Rotem and unknown Korean sensor company. Second, it features upgraded special armor. It appears the existing state-of-the-art internal armor will be replaced with the latest technology from Samyang, minimizing volume and weight to improve overall performance. The third and fourth features are the anti-drone jammer and RCWS, which have been covered numerous times, so I'll skip them. Note that this footage is based on the 2024 KADEX, and the final design is likely to differ slightly. There's another AESA radar for the APS described previously, supposed to be located on top of the turret. It's unclear whether the K2PL will be applied to later batches. ●The name of the Hyundai APS has not been decided. ●Hyundai Rotem and Hanwha Group's APS are successors to the APS-11K, developed 17 years ago. Hanwha Group's APS looks similar to the APS-11K. ●The Hanwha Group's new APS is unlikely to be applied to the K2. ●The K2, an MBT released after the 2000s, is fundamentally highly digitalized and uses new materials to reduce weight. This reiterates the point, which has been circulating on social media, that more weight doesn't necessarily mean more survivability. ●As weight increases, overall performance deteriorates, and maintenance costs skyrocket. There's a reason why the global MBT development trend is toward lightweighting. ●Protecting vital areas is crucial. ●Of course, you can use cages and thicken the armor if you wish. ●The K2's unique active tank suspension contributes to the platform's expandability and contributes to its top-notch driving performance and combat capabilities. Self-hull-down technology improves detectability and protection in desert, flat, and mountainous terrain. In any case, performance isn't a crucial factor in combat platform transactions, as it's negotiable for large companies with robust solutions. In weapon acquisition, packaged price is the most important factor, followed by localization, time, offsets, and so on. This trend is particularly evident in naval combat platforms. While platforms can be expanded at any time, combat systems(most important), ammunition, and missiles, which account for at least 20-50% of the cost, are non-negotiable. I hope that the true meaning of the next-generation K3 tank will also do well in exports.

Hyundai Rotem has released cool footage of the Polish K2PL. It looks like Leopard 2A8. It will also become the standard model for export to Romania, Saudi, the UAE, Egypt, Iraq, and Peru. K2PL boasts four key features. First, Hyundai Rotem's new APS is impressive. While similar to the Israeli "Trophy," it uses "Trophy" interceptor. (Think about the iPhone, which uses components from Korea and Japan.) The main computer, high-resolution AESA radar, optical sensor, launcher, loading device, and integration are all from Hyundai Rotem and unknown Korean sensor company. Second, it features upgraded special armor. It appears the existing state-of-the-art internal armor will be replaced with the latest technology from Samyang, minimizing volume and weight to improve overall performance. The third and fourth features are the anti-drone jammer and RCWS, which have been covered numerous times, so I'll skip them. Note that this footage is based on the 2024 KADEX, and the final design is likely to differ slightly. There's another AESA radar for the APS described previously, supposed to be located on top of the turret. It's unclear whether the K2PL will be applied to later batches. ●The name of the Hyundai APS has not been decided. ●Hyundai Rotem and Hanwha Group's APS are successors to the APS-11K, developed 17 years ago. Hanwha Group's APS looks similar to the APS-11K. ●The Hanwha Group's new APS is unlikely to be applied to the K2. ●The K2, an MBT released after the 2000s, is fundamentally highly digitalized and uses new materials to reduce weight. This reiterates the point, which has been circulating on social media, that more weight doesn't necessarily mean more survivability. ●As weight increases, overall performance deteriorates, and maintenance costs skyrocket. There's a reason why the global MBT development trend is toward lightweighting. ●Protecting vital areas is crucial. ●Of course, you can use cages and thicken the armor if you wish. ●The K2's unique active tank suspension contributes to the platform's expandability and contributes to its top-notch driving performance and combat capabilities. Self-hull-down technology improves detectability and protection in desert, flat, and mountainous terrain. In any case, performance isn't a crucial factor in combat platform transactions, as it's negotiable for large companies with robust solutions. In weapon acquisition, packaged price is the most important factor, followed by localization, time, offsets, and so on. This trend is particularly evident in naval combat platforms. While platforms can be expanded at any time, combat systems(most important), ammunition, and missiles, which account for at least 20-50% of the cost, are non-negotiable. I hope that the true meaning of the next-generation K3 tank will also do well in exports.

Mason ヨンハク

337,130 просмотров • 11 месяцев назад

Created with GPT Image 2 + Omni Flash / Seedance 2.0 Prompt: Create a clean, premium storyboard infographic for a product ASMR unboxing video. Design specifications: Background: White background with a modern, minimalist layout. Title at the top: STORYBOARD Product name in bold dark blue: HAN RIVER WET & DRY 2 IN 1 STEAM IRON Subtitle: ASMR UNBOXING (POV HAND) Information boxes below the title: Duration: 30 Seconds (3 Parts) Style: POV Hand, ASMR, Premium Product Commercial Audience: Home Users, Housewife, Young Adults Voiceover: No Voiceover (Pure ASMR) Audio Suggestion: Tapping, Crinkle, Cardboard, Click, Steam, Water Pouring Layout: Create 12 storyboard panels arranged in a 4 column × 3 row grid, divided into three horizontal blocks labeled PART 1 (0 to 10s), PART 2 (10 to 20s), and PART 3 (20 to 30s). Each panel should contain: A numbered dark blue badge (1 to 12) with its respective timestamp. A realistic cinematic image showing the scene. Handwritten white and orange doodle text sketched over the image. Four text sections below every image: VISUAL: ACTION: DOODLE: AUDIO: Aesthetic Style: Premium lifestyle commercial advertising style. Realistic product photography, light wood or beige table, soft warm studio lighting, shallow depth of field, POV hands only with no face visible. The product is a sleek, cream colored handheld steam iron with a gold rimmed ceramic base. Storyboard sequence: PART 1 (0 to 10s) 1 (0 to 2.5s) Visual: Product box placed flat on a wooden table. Action: Hands enter frame and tap the sides of the box. Doodle: NEW! Audio: Cardboard tapping. 2 (2.5 to 5s) Visual: Close up of the box lid, focusing on the brand logo. Action: Fingers gently trace the printed logo and illustration. Doodle: LET'S OPEN! Audio: Finger scratching on cardboard. 3 (5 to 7.5s) Visual: A box cutter slicing the sealing tape. Action: Blade slowly cuts through the adhesive tape. Doodle: SLICE... Audio: Tape cutting. 4 (7.5 to 10s) Visual: The box flaps are opened, revealing the wrapped product and manual inside. Action: Hands open the main flaps wide. Doodle: WOW! Audio: Box opening. PART 2 (10 to 20s) 5 (10 to 12.5s) Visual: Instruction manual being held up. Action: Hands flip through the pages of the manual. Doodle: MANUAL Audio: Paper flipping. 6 (12.5 to 15s) Visual: The iron is lifted out, still wrapped in its protective plastic sheet. Action: Pulling the wrapped unit completely out of the box. Doodle: CRINKLE~ Audio: Plastic crinkling. 7 (15 to 17.5s) Visual: Peeling away the protective plastic cover to reveal the premium body. Action: Hands slowly unwrap and twist the iron to inspect it. Doodle: SO CLEAN! Audio: Plastic removal. 8 (17.5 to 20s) Visual: Ultra close up of the pristine ceramic soleplate. Action: A single finger smoothly glides down the center of the soleplate. Doodle: SMOOTH Audio: Finger glide on ceramic. PART 3 (20 to 30s) 9 (20 to 22.5s) Visual: Rotating the ergonomic handle. Action: Hand twists the handle 180 degrees until it locks into place. Doodle: 180° Audio: Handle rotation click. 10 (22.5 to 25s) Visual: Water being added to the built in tank. Action: Pouring clean water slowly into the small inlet using a measuring cup. Doodle: FILL Audio: Water pouring. 11 (25 to 27.5s) Visual: The steam button being pressed. Action: Thumb presses the button, and a powerful burst of steam erupts from the base. Doodle: PSSSH~ Audio: Steam release blast. 12 (27.5 to 30s) Visual: Final hero shot of the steam iron standing upright next to its box and measuring cup. Action: Hand enters frame to give a confident thumbs up. Doodle: READY! Audio: Light tap on the table. Footer Infographic Sections: WHAT'S IN THE BOX: Small grid icons showing Steam Iron, Instruction Manual, Measuring Cup, and Power Cord. KEY FEATURES: Checkmarks for Wet & Dry 2 in 1 180° Swivel Handle 150ml Water Tank Ceramic Soleplate Powerful Steam WARRANTY: A prominent 2 YEARS WARRANTY shield badge. IDEAL FOR / WHY CHOOSE IT: Minimalist icons for Home Use, Travel, Small Spaces Bullet points: Lightweight Easy to Use Fast Heating Safe Metadata Text Line: Total Duration: 30 Seconds Format: Vertical (9:16) Style: POV Hand, ASMR, Premium Product Commercial Typography should resemble a professional creative agency storyboard layout featuring neat spacing, sharp dark blue accents, thin gray grid boundaries, and a highly polished presentation structure perfect for a client pitch.

Shore Lyn

32,855 просмотров • 1 месяц назад

New episode with Adam Marblestone, CEO and co-founder of Convergent Research. Adam is an extraordinary catalyst and accelerant for science: he has influenced or routed billions in funding, he helped start significant companies and scientific subfields, and he is the world’s go-to person for neuroscience roadmapping. This year, the NSF launched a $1.5B X-Labs initiative inspired by the FRO model Adam pioneered. Though he started with neuroscience, today he helps organize scientific endeavors across many fields, including AI, math, biology, climate, astrophysics, and more. Adam proposes that fields like neurotech, whole-brain emulation, cryo, and nanotech are severely limited by capital and coordination — not ideas. Connectomics is a clear case. He argues that mapping the brain's full wiring diagram is the approach most poised-to-scale and still extremely neglected. Costs for a molecularly annotated mouse connectome have come down orders of magnitude, from an estimated $10B to $100M–200M, Adam suggests, with a human connectome perhaps costing around $1B–2B. The cost curve of connectomes is similar to transistors and gene sequencing: once it is low enough, we get extraordinary outcomes for humanity. Near-term applications could pay for it: new drug targets for brain disease, insights for AI development, emulations, and even “control knobs” for mood and focus we haven’t identified yet. In this episode, we go deep on many topics in neurotech and beyond: what the brain can do that computers still can't; what neuroscience could teach AI; how you'd actually map a whole mammal brain; how far today's fly-brain simulations really get toward an upload; what it would take to move mind uploading beyond the fringe or science; where brain-computer interfaces go next; nanotech, reversible cryonics, AI doing its own ML research, and even predictive, agent-based economics. I'm very excited to have Adam on the podcast. Hope you enjoy! Other links to this episode and references below. Chapters 00:00:00 Introduction 00:01:40 What are the grand challenges of neurotech? 00:04:50 What the brain does that computers still can't (on a few bananas a day) 00:14:43 The neuroscience overhang: why brains learn from so little data 00:26:29 How to record and map the brain: DNA "ticker tape," ultrasound, and the unexplored map 00:40:29 Why connectomics is the area most poised to scale 00:47:54 How whole-brain connectomics works, end to end 00:55:27 Simulating the fly brain: how far does it actually get us? 00:57:51 What would it cost to map a mammal's brain? 00:59:55 What will be connectomics' ChatGPT moment? 01:04:35 What a connectome unlocks: disease, drug targets, and the brain's control knobs 01:14:20 Scaling up to the human brain — a faster timeline than expected 01:17:34 Mapping activity, and what the fly connectome has revealed 01:27:55 What you could build with today's connectome 01:35:29 Why uploading may be one of civilization's great cornerstones and transitions 01:42:43 Optimistic visions of a future with uploading 01:49:12 Beyond neurotech: virtual cells, nanotech, and AI-driven science 02:15:29 BCIs today: semi-invasive devices, ultrasound, and what's on the horizon 02:22:44 Why science is capital-and coordination-limited, not idea-limited

New episode with Adam Marblestone, CEO and co-founder of Convergent Research. Adam is an extraordinary catalyst and accelerant for science: he has influenced or routed billions in funding, he helped start significant companies and scientific subfields, and he is the world’s go-to person for neuroscience roadmapping. This year, the NSF launched a $1.5B X-Labs initiative inspired by the FRO model Adam pioneered. Though he started with neuroscience, today he helps organize scientific endeavors across many fields, including AI, math, biology, climate, astrophysics, and more. Adam proposes that fields like neurotech, whole-brain emulation, cryo, and nanotech are severely limited by capital and coordination — not ideas. Connectomics is a clear case. He argues that mapping the brain's full wiring diagram is the approach most poised-to-scale and still extremely neglected. Costs for a molecularly annotated mouse connectome have come down orders of magnitude, from an estimated $10B to $100M–200M, Adam suggests, with a human connectome perhaps costing around $1B–2B. The cost curve of connectomes is similar to transistors and gene sequencing: once it is low enough, we get extraordinary outcomes for humanity. Near-term applications could pay for it: new drug targets for brain disease, insights for AI development, emulations, and even “control knobs” for mood and focus we haven’t identified yet. In this episode, we go deep on many topics in neurotech and beyond: what the brain can do that computers still can't; what neuroscience could teach AI; how you'd actually map a whole mammal brain; how far today's fly-brain simulations really get toward an upload; what it would take to move mind uploading beyond the fringe or science; where brain-computer interfaces go next; nanotech, reversible cryonics, AI doing its own ML research, and even predictive, agent-based economics. I'm very excited to have Adam on the podcast. Hope you enjoy! Other links to this episode and references below. Chapters 00:00:00 Introduction 00:01:40 What are the grand challenges of neurotech? 00:04:50 What the brain does that computers still can't (on a few bananas a day) 00:14:43 The neuroscience overhang: why brains learn from so little data 00:26:29 How to record and map the brain: DNA "ticker tape," ultrasound, and the unexplored map 00:40:29 Why connectomics is the area most poised to scale 00:47:54 How whole-brain connectomics works, end to end 00:55:27 Simulating the fly brain: how far does it actually get us? 00:57:51 What would it cost to map a mammal's brain? 00:59:55 What will be connectomics' ChatGPT moment? 01:04:35 What a connectome unlocks: disease, drug targets, and the brain's control knobs 01:14:20 Scaling up to the human brain — a faster timeline than expected 01:17:34 Mapping activity, and what the fly connectome has revealed 01:27:55 What you could build with today's connectome 01:35:29 Why uploading may be one of civilization's great cornerstones and transitions 01:42:43 Optimistic visions of a future with uploading 01:49:12 Beyond neurotech: virtual cells, nanotech, and AI-driven science 02:15:29 BCIs today: semi-invasive devices, ultrasound, and what's on the horizon 02:22:44 Why science is capital-and coordination-limited, not idea-limited

Juan Benet

224,709 просмотров • 13 дней назад

THE MAN WHO CALLED 1987, 1990, AND 2000: MARC FABER'S UNFILTERED WARNING ON RATES, BRICS, AND CASH Marc Faber stands as one of the most respected and feared voices in global finance. With more than fifty years of experience that includes calling the 1987 crash, the Japanese asset bubble, and the dotcom mania, his words carry weight that mainstream analysts simply cannot match. When he speaks about the true state of inflation, the safety of American gold, and the future of money itself, smart money listens closely. THE LEGENDARY TRACK RECORD ➡️ Marc Faber has more than five decades of stock market experience under his belt. ➡️ He not only witnessed but also predicted the October 1987 crash, the Japan bubble collapse in 1990, and the dotcom bubble burst in 2000. ➡️ As editor of the legendary Gloom Boom Doom Report, he continues to deliver unvarnished analysis to subscribers around the world. THE INFLATION REALITY CHECK ➡️ Official statistics claim inflation runs at just 2 to 3 percent in the United States and Europe. ➡️ Faber cites rigorous calculations from Shadowstats showing actual consumer cost increases closer to 10.5 percent per year. ➡️ These hidden costs include insurance, housing, education, and automobiles that far outpace the manipulated official numbers. THE FORT KNOX GOLD DOUBT ➡️ Faber harbors serious doubts that America's gold reserves remain safely stored in Fort Knox. ➡️ He wonders aloud whether past officials or presidents may have removed the gold without anyone noticing. ➡️ "Tell me, what is the word of an American worth?" he asks pointedly, referencing broken promises from Vietnam to questionable election results involving mail-in ballots. THE RISING YIELDS AND LONG-TERM CYCLE ➡️ After four decades of falling interest rates from 1981 to 2020, a new rising trend has begun. ➡️ Faber expects this upcycle to last until around 2040 or 2045 and possibly exceed the 15 percent peaks seen in 1981. ➡️ Higher borrowing costs will feed directly into business expenses and ultimately higher prices for consumers. THE BRICS AND THE UNIT ➡️ BRICS nations have launched a pilot gold-backed trading currency called The Unit to reduce reliance on the dollar. ➡️ This move follows repeated US seizures of foreign currency reserves held in America. ➡️ Faber advises central banks to pull their physical gold out of US custody because its very existence there remains unverified. THE AI WINNERS AND LOSERS ➡️ Massive technological shifts driven by artificial intelligence will cause most companies to go bankrupt. ➡️ A select few survivors will make enormous amounts of money in the process. ➡️ Asia enjoys a structural advantage because it lacks the green activists and heavy socialist interventions that stifle growth in Europe. THE CASH RECOMMENDATION ➡️ Faber strongly advises to diversify and avoid taking huge risks in the current climate. ➡️ Almost everyone is rushing into stocks, real estate, and collectibles, leaving cash with low returns and unloved by the crowd. ➡️ This very fact makes cash potentially interesting right now, precisely because nobody wants it. ➡️ When the risk-off moment arrives, cash becomes king, exactly as Warren Buffett has long described. THE BOTTOM LINE Marc Faber entered this interview with the same directness that has defined his five-decade career. He sees a world of eroding trust, hidden inflation, and dangerous policy interventions, yet he offers a clear path forward through diversification and a fresh look at cash that nobody else seems to want right now. Cash is king when everyone else is chasing the next bubble. HT: YouTube Kettner-Edelmetalle (Gold & Silber) #MarcFaber #GloomBoomDoom #RealInflation #FortKnoxGold #BRICS #InterestRateCycle #CashIsKing

THE MAN WHO CALLED 1987, 1990, AND 2000: MARC FABER'S UNFILTERED WARNING ON RATES, BRICS, AND CASH Marc Faber stands as one of the most respected and feared voices in global finance. With more than fifty years of experience that includes calling the 1987 crash, the Japanese asset bubble, and the dotcom mania, his words carry weight that mainstream analysts simply cannot match. When he speaks about the true state of inflation, the safety of American gold, and the future of money itself, smart money listens closely. THE LEGENDARY TRACK RECORD ➡️ Marc Faber has more than five decades of stock market experience under his belt. ➡️ He not only witnessed but also predicted the October 1987 crash, the Japan bubble collapse in 1990, and the dotcom bubble burst in 2000. ➡️ As editor of the legendary Gloom Boom Doom Report, he continues to deliver unvarnished analysis to subscribers around the world. THE INFLATION REALITY CHECK ➡️ Official statistics claim inflation runs at just 2 to 3 percent in the United States and Europe. ➡️ Faber cites rigorous calculations from Shadowstats showing actual consumer cost increases closer to 10.5 percent per year. ➡️ These hidden costs include insurance, housing, education, and automobiles that far outpace the manipulated official numbers. THE FORT KNOX GOLD DOUBT ➡️ Faber harbors serious doubts that America's gold reserves remain safely stored in Fort Knox. ➡️ He wonders aloud whether past officials or presidents may have removed the gold without anyone noticing. ➡️ "Tell me, what is the word of an American worth?" he asks pointedly, referencing broken promises from Vietnam to questionable election results involving mail-in ballots. THE RISING YIELDS AND LONG-TERM CYCLE ➡️ After four decades of falling interest rates from 1981 to 2020, a new rising trend has begun. ➡️ Faber expects this upcycle to last until around 2040 or 2045 and possibly exceed the 15 percent peaks seen in 1981. ➡️ Higher borrowing costs will feed directly into business expenses and ultimately higher prices for consumers. THE BRICS AND THE UNIT ➡️ BRICS nations have launched a pilot gold-backed trading currency called The Unit to reduce reliance on the dollar. ➡️ This move follows repeated US seizures of foreign currency reserves held in America. ➡️ Faber advises central banks to pull their physical gold out of US custody because its very existence there remains unverified. THE AI WINNERS AND LOSERS ➡️ Massive technological shifts driven by artificial intelligence will cause most companies to go bankrupt. ➡️ A select few survivors will make enormous amounts of money in the process. ➡️ Asia enjoys a structural advantage because it lacks the green activists and heavy socialist interventions that stifle growth in Europe. THE CASH RECOMMENDATION ➡️ Faber strongly advises to diversify and avoid taking huge risks in the current climate. ➡️ Almost everyone is rushing into stocks, real estate, and collectibles, leaving cash with low returns and unloved by the crowd. ➡️ This very fact makes cash potentially interesting right now, precisely because nobody wants it. ➡️ When the risk-off moment arrives, cash becomes king, exactly as Warren Buffett has long described. THE BOTTOM LINE Marc Faber entered this interview with the same directness that has defined his five-decade career. He sees a world of eroding trust, hidden inflation, and dangerous policy interventions, yet he offers a clear path forward through diversification and a fresh look at cash that nobody else seems to want right now. Cash is king when everyone else is chasing the next bubble. HT: YouTube Kettner-Edelmetalle (Gold & Silber) #MarcFaber #GloomBoomDoom #RealInflation #FortKnoxGold #BRICS #InterestRateCycle #CashIsKing

Mark

28,372 просмотров • 3 месяцев назад