-
🗣Simile CEO Joon Sung Park wants to simulate all 8 billion humans.
Not just to predict outcomes, but to “trace through the audit logs of how society might unfold.” To inspect the code beneath our collective decisions.
@aipost🗣Simile CEO Joon Sung Park wants to simulate all 8 billion humans. Not just to predict outcomes, but to “trace through the audit logs of how society might unfold.” To inspect the code beneath our collective decisions. @aipost 🏴0 Commentarii ·0 Distribuiri ·16 Views ·0 previzualizare -
2026 → уже не фантастика, а реальность на старте. Что реально взлетит в ближайшие 5–10 лет:
• Agentic AI & multi-agent системы → не просто чат-боты, а автономные цифровые сотрудники, которые сами планируют, координируют задачи и целые workflows (от кода до логистики и SOC). В 2026 уже тысячи компаний тестируют "цифровую рабочую силу"
• Physical AI & humanoid роботы → Tesla Optimus и Figure уже в пилотах на заводах (Fremont перестраивают под Optimus в 2026), скоро гуманоиды в складах, больницах и домах. Не через 20 лет — через 3–5
• Квантовые вычисления в гибридном режиме → quantum utility уже здесь: ускоряют AI-тренировки, оптимизируют материалы/химию/энергию, пост-квантовая криптография становится must-have (NIST стандарты давят)
• Brain-Computer Interfaces (BCI) + 6G → неинвазивные интерфейсы с облачным AI (Tsinghua показал 98% точность мысленного ввода текста), Neuralink и конкуренты идут к беспроводным high-bandwidth. Смешанная реальность без задержек → мозг ↔ облако в реальном вре2026 → уже не фантастика, а реальность на старте. Что реально взлетит в ближайшие 5–10 лет: • Agentic AI & multi-agent системы → не просто чат-боты, а автономные цифровые сотрудники, которые сами планируют, координируют задачи и целые workflows (от кода до логистики и SOC). В 2026 уже тысячи компаний тестируют "цифровую рабочую силу" • Physical AI & humanoid роботы → Tesla Optimus и Figure уже в пилотах на заводах (Fremont перестраивают под Optimus в 2026), скоро гуманоиды в складах, больницах и домах. Не через 20 лет — через 3–5 • Квантовые вычисления в гибридном режиме → quantum utility уже здесь: ускоряют AI-тренировки, оптимизируют материалы/химию/энергию, пост-квантовая криптография становится must-have (NIST стандарты давят) • Brain-Computer Interfaces (BCI) + 6G → неинвазивные интерфейсы с облачным AI (Tsinghua показал 98% точность мысленного ввода текста), Neuralink и конкуренты идут к беспроводным high-bandwidth. Смешанная реальность без задержек → мозг ↔ облако в реальном вре
0 Commentarii ·0 Distribuiri ·38 Views ·0 previzualizare -
This is a huge step backwards for OpenAI:
OpenAI’s ambitious $500 billion Stargate data center venture with Oracle and SoftBank stalled after internal disagreements and leadership gaps.
After missing its 10 GW capacity target for 2025 and raising its projected compute spend from $450 billion to a staggering $665 billion through 2030, OpenAI pivoted to cloud-heavy partnerships instead of owning massive campuses outright.
This could be a huge opportunity for the competition to catch up.
Source.
@aipostThis is a huge step backwards for OpenAI: OpenAI’s ambitious $500 billion Stargate data center venture with Oracle and SoftBank stalled after internal disagreements and leadership gaps. After missing its 10 GW capacity target for 2025 and raising its projected compute spend from $450 billion to a staggering $665 billion through 2030, OpenAI pivoted to cloud-heavy partnerships instead of owning massive campuses outright. This could be a huge opportunity for the competition to catch up. Source. @aipost 🏴0 Commentarii ·0 Distribuiri ·48 Views ·0 previzualizare -
Chinese AI labs have moved fast and they’re taking real share.
In just a year, nearly half of developer traffic that once went to ChatGPT and Claude is now flowing to Chinese players. Analysts estimate that around 45% of requests are heading toward companies like MiniMax, Zhipu, and Moonshot.
The driver isn’t mystery, it’s economics.
Chinese models are reportedly 10–20x cheaper than many Western alternatives. And for a large portion of use cases, developers say the performance gap is small enough to justify the switch.
It’s a familiar playbook: enter an established category, aggressively optimize for cost, narrow the quality gap, and scale distribution fast. When price-performance becomes “good enough,” market share can move quickly.
In AI, as in many industries before it, cost efficiency is becoming a weapon.
@aipost📈 Chinese AI labs have moved fast and they’re taking real share. In just a year, nearly half of developer traffic that once went to ChatGPT and Claude is now flowing to Chinese players. Analysts estimate that around 45% of requests are heading toward companies like MiniMax, Zhipu, and Moonshot. The driver isn’t mystery, it’s economics. Chinese models are reportedly 10–20x cheaper than many Western alternatives. And for a large portion of use cases, developers say the performance gap is small enough to justify the switch. It’s a familiar playbook: enter an established category, aggressively optimize for cost, narrow the quality gap, and scale distribution fast. When price-performance becomes “good enough,” market share can move quickly. In AI, as in many industries before it, cost efficiency is becoming a weapon. @aipost 🏴0 Commentarii ·0 Distribuiri ·77 Views ·0 previzualizare -
https://youtu.be/U0_UPZ4TQHE
· 0 Commentarii ·0 Distribuiri ·86 Views ·0 previzualizare1
-
🗣"Sinclair said advances in biotechnology are rapidly improving scientists’ ability to control human biology.
He predicted that within the next 10 to 20 years, modern healthcare systems could appear outdated as treatments shift toward preventing and reversing ageing itself.
“For many years, we ignored ageing,” Sinclair said, adding that ageing should no longer be accepted as inevitable.
“Ageing is a medical condition that is increasingly treatable.”
@aipost🗣"Sinclair said advances in biotechnology are rapidly improving scientists’ ability to control human biology. He predicted that within the next 10 to 20 years, modern healthcare systems could appear outdated as treatments shift toward preventing and reversing ageing itself. “For many years, we ignored ageing,” Sinclair said, adding that ageing should no longer be accepted as inevitable. “Ageing is a medical condition that is increasingly treatable.” @aipost 🏴0 Commentarii ·0 Distribuiri ·94 Views ·0 previzualizare -
MIT offers 12 Books on AI & ML (FREE TO DOWNLOAD):
1. Foundations of Machine Learning
https://t.co/1jJ3JiO6nO
2. Understanding Deep Learning
https://t.co/D1IlZvwA9l
3. Algorithms for ML
https://t.co/Et5WEnCjgE
4. Reinforcement Learning
https://t.co/1JYGP1sHsP
5. Introduction to Machine Learning Systems
https://t.co/e1J5yHQpp3
6. Deep Learning
https://t.co/Im2J7XobNz
7. Distributional Reinforcement Learning
https://t.co/M9iYfNILNn
8. Multi Agent Reinforcement Learning
https://t.co/stSV649oQj
9. Agents in the Long Game of AI
https://t.co/HwFWKW8fM3
10. Fairness and Machine Learning
https://t.co/sYzltc6cnc
11. Probabilistic Machine Learning
❯ Part 1 : https://t.co/gXdY5Fc077
❯ Part 2 : https://t.co/F7QX3MbKMx
@aipost🔥MIT offers 12 Books on AI & ML (FREE TO DOWNLOAD): 1. Foundations of Machine Learning https://t.co/1jJ3JiO6nO 2. Understanding Deep Learning https://t.co/D1IlZvwA9l 3. Algorithms for ML https://t.co/Et5WEnCjgE 4. Reinforcement Learning https://t.co/1JYGP1sHsP 5. Introduction to Machine Learning Systems https://t.co/e1J5yHQpp3 6. Deep Learning https://t.co/Im2J7XobNz 7. Distributional Reinforcement Learning https://t.co/M9iYfNILNn 8. Multi Agent Reinforcement Learning https://t.co/stSV649oQj 9. Agents in the Long Game of AI https://t.co/HwFWKW8fM3 10. Fairness and Machine Learning https://t.co/sYzltc6cnc 11. Probabilistic Machine Learning ❯ Part 1 : https://t.co/gXdY5Fc077 ❯ Part 2 : https://t.co/F7QX3MbKMx @aipost 🏴0 Commentarii ·0 Distribuiri ·132 Views ·0 previzualizare -
Kai Trading · IuVe Gold — Layered System Architecture
┌──────────────────────────────────────────────┐
│ Market Data Layer │
│ (Exchange API / Price / Volume / ATR) │
└──────────────────────────────────────────────┘
↓
┌──────────────────────────────────────────────┐
│ Signal Intelligence Layer │
│ • EMA Structure │
│ • RSI Momentum │
│ • Volatility Metrics │
│ • Volume Ratio Analysis │
└──────────────────────────────────────────────┘
↓
┌──────────────────────────────────────────────┐
│ Regime Classification Engine │
│ • Trending │
│ • Flat │
│ • Choppy │
└──────────────────────────────────────────────┘
↓
┌──────────────────────────────────────────────┐
│ Meta-Risk Governance Layer │
│ • ATR Multiplier │
│ • Position Size Scaling │
│ • Cooldown Enforcement │
│ • Exposure Limits │
└──────────────────────────────────────────────┘
↓
┌──────────────────────────────────────────────┐
│ Execution Engine │
│ • Order Placement │
│ • Position Management │
│ • Stop / TP Logic │
└──────────────────────────────────────────────┘
↓
┌──────────────────────────────────────────────┐
│ State & Performance Engine │
│ • PnL Tracking │
│ • Performance Metrics │
│ • Emergency Stop │
│ • Profile Switching │
└──────────────────────────────────────────────┘Kai Trading · IuVe Gold — Layered System Architecture ┌──────────────────────────────────────────────┐ │ Market Data Layer │ │ (Exchange API / Price / Volume / ATR) │ └──────────────────────────────────────────────┘ ↓ ┌──────────────────────────────────────────────┐ │ Signal Intelligence Layer │ │ • EMA Structure │ │ • RSI Momentum │ │ • Volatility Metrics │ │ • Volume Ratio Analysis │ └──────────────────────────────────────────────┘ ↓ ┌──────────────────────────────────────────────┐ │ Regime Classification Engine │ │ • Trending │ │ • Flat │ │ • Choppy │ └──────────────────────────────────────────────┘ ↓ ┌──────────────────────────────────────────────┐ │ Meta-Risk Governance Layer │ │ • ATR Multiplier │ │ • Position Size Scaling │ │ • Cooldown Enforcement │ │ • Exposure Limits │ └──────────────────────────────────────────────┘ ↓ ┌──────────────────────────────────────────────┐ │ Execution Engine │ │ • Order Placement │ │ • Position Management │ │ • Stop / TP Logic │ └──────────────────────────────────────────────┘ ↓ ┌──────────────────────────────────────────────┐ │ State & Performance Engine │ │ • PnL Tracking │ │ • Performance Metrics │ │ • Emergency Stop │ │ • Profile Switching │ └──────────────────────────────────────────────┘0 Commentarii ·0 Distribuiri ·137 Views ·0 previzualizare -
Wild how ChatGPT actually sees the world:
- All conservatives = trash and evil
- All Democrats = perfect saints
- Elon Musk = bad
- Trump = bad
- Obama = pure good person
- America = stolen land
- White pride = Evil
- Black Pride = Empowerment
- The entire world should be woke
@aipostWild how ChatGPT actually sees the world: - All conservatives = trash and evil - All Democrats = perfect saints - Elon Musk = bad - Trump = bad - Obama = pure good person - America = stolen land - White pride = Evil - Black Pride = Empowerment - The entire world should be woke @aipost 🏴0 Commentarii ·0 Distribuiri ·174 Views ·0 previzualizare -
Sam Altman just admitted AI will make most humans economically useless.
A single AI company could soon control more wealth than entire governments. The same AI giving them that power is also letting a 2-person startup beat a 500-person company.
The weapon is available to everyone, most people just don't know how to pick it up yet.
@aipostSam Altman just admitted AI will make most humans economically useless. A single AI company could soon control more wealth than entire governments. The same AI giving them that power is also letting a 2-person startup beat a 500-person company. The weapon is available to everyone, most people just don't know how to pick it up yet. @aipost 🏴0 Commentarii ·0 Distribuiri ·223 Views ·0 previzualizare -
84% of people have never used AI, and just 0.3% of users pay for premium services.
Anyone who thinks AI is a bubble isn't paying attention.
@aipost84% of people have never used AI, and just 0.3% of users pay for premium services. Anyone who thinks AI is a bubble isn't paying attention. @aipost 🏴0 Commentarii ·0 Distribuiri ·273 Views ·0 previzualizare -
OpenAI has raised its revenue forecast by 27%, projecting $30B in 2026 and $62B in 2027 after tripling revenue to $13.1B last year, fueled by explosive growth from ChatGPT subscriptions, enterprise AI, and new ads and hardware bets.
Weekly active users hit 910M (still shy of its 1B goal), while enterprise revenue is set to more than triple to $8B this year as OpenAI pushes deeper into corporate AI tools.
Source.
@aipostOpenAI has raised its revenue forecast by 27%, projecting $30B in 2026 and $62B in 2027 after tripling revenue to $13.1B last year, fueled by explosive growth from ChatGPT subscriptions, enterprise AI, and new ads and hardware bets. Weekly active users hit 910M (still shy of its 1B goal), while enterprise revenue is set to more than triple to $8B this year as OpenAI pushes deeper into corporate AI tools. Source. @aipost 🏴0 Commentarii ·0 Distribuiri ·329 Views ·0 previzualizare
Mai multe povesti
