🚨ZENGİN OLMAK İSTEYENLERE SESLENİYORUM
Bilmen gerek tek şey oyun teorisi.
Başarılı insanlar bu yüzden kazanıyor.
Diğerleri hayat boyu ortalama kalıyor.
Bu derse 1 saatini ayır.
İzledikten sonra bana teşekkür edeceksin.
🚨 Someone built an AI that reads candlestick charts the way GPT reads English.
Trained on 12 billion records from 45 exchanges. Outperforms every model by 93%. Live BTC demo. Free.
It's called Kronos.
The first open source foundation model built for financial markets. Not a general AI repurposed for finance. An AI that speaks the native language of candlestick patterns.
Every other model treats financial data like weather data. Kronos treats financial data like financial data.
Here's what it does:
→ Price forecasting. Feed it candlesticks. It predicts where price goes next.
→ Volatility prediction. Forecasts how volatile an asset will be before it happens.
→ Zero-shot. No fine-tuning. Works on any asset, any market, any timeframe.
→ 45 exchanges. Binance, NYSE, NASDAQ, LSE, and 41 more.
→ 4 model sizes. 4M params runs on a laptop. 499M for max accuracy.
→ Live demo running right now. BTC/USDT. 24-hour forecast. Updated hourly.
Here's the wildest part:
→ 93% more accurate than the leading time series model
→ 87% more accurate than the best non-pretrained baseline
→ All zero-shot. No fine-tuning. Out of the box.
Hedge funds spend millions on proprietary models. Bloomberg Terminal costs $24,000/year.
This runs on your laptop. Few lines of Python. Free.
Built at Tsinghua University. Accepted at AAAI 2026. Models on Hugging Face.
11.6K GitHub stars. 2.4K forks. MIT License.
100% Open Source.
Get it here on GitHub: https://t.co/IdEgklvY0a
🚨Want to learn Algorithmic Trading Strategies (that actually work)?
On June 25th, we are hosting a free workshop to help you get started with algorithmic trading with Python.
Register here (500 seats): https://t.co/uBk2SeORef
Un desarrollador ucraniano creó un agujero negro en su terminal para obligarse a tomar descansos.
Cuanto más trabajas sin parar, más crece y deforma tu código con su lente gravitacional. Descansas y se encoge.
Antes de 28 de julio, alguien puede descargar y poner a buen recaudo los vladivideos que se encuentran colgados en el canal de Youtube del Centro de Documentación del LUM?
https://t.co/nMwAGhUSXH
Portugal's official World Cup campaign.🇵🇹🇵🇹
🗣 Cristiano Ronaldo:
"Let's go guys. It's our time..."
My favourite line:
"Call us dreamers, but a dream dreamed by many, it's no longer a dream... It's destiny."🇵🇹🥶🏆
Goose: el AI agent de Jack Dorsey que está rompiendo todo
Escribes una sola frase:
“Créame un YouTube completo”
Y Goose hace el resto solo:
- Crea el proyecto desde cero
- Escribe todo el código
- Instala dependencias automáticamente
- Detecta y arregla errores
- No para hasta que funciona
Lo mejor:
• 100% GRATIS (sin suscripciones)
• Corre local en tu computadora
• Código privado y tuyo
• Open source (Apache 2.0)
Ya no necesitas ser programador experto.
Solo necesitas una buena idea.
El futuro del desarrollo llegó y es local.
FABLE 5 EN HYPERAGENT LO CAMBIA TODO
Le das un objetivo.
Trabaja solo durante horas.
Evalúa su output y lo mejora sin que toques nada.
Aquí algunos ejemplos de lo que puede hacer Fable 5 en Hyperagent 👇
→ Visualizar todos los asteroides del sistema solar con datos de la NASA
→ Diseñar el plano de un complejo deportivo de 100 acres
→ Reconstruir paneles de control de la NASA desde PDFs técnicos
→ Simular la cadena de suministro de camisetas del Mundial según resultados
→ Mostrar el efecto de las tormentas solares en las auroras boreales
Esto ya no es un asistente.
Es un trabajador autónomo con objetivos propios. El cambio es brutal.
#HyperagentPartner
this is how the AI revolution is different from the INDUSTRIAL revolution.
steam engines made work faster but also cheaper. machines were expensive to build but once the factory was running, each product became cheaper to make.
AI is complicated.
AI is making work more productive (arguably) but with token-based pricing, you don’t own the machine. you rent it every time it thinks, writes, edits, debugs, or retries.
if the AI machine produces faster, the bill also grows bigger. the AI revolution may lower labour time but it can also raise usage cost to the point where the “replacement” becomes more expensive than the work it replaced.
🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products.
My Take
The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested.
This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown.
Hedgie🤗
Angela Yu adalah seorang pengembang (developer) dan instruktur coding yang sangat terkenal di Udemy. Kelakar di kalangan developer, dia melahirkan lebih banyak programer dibandingkan seluruh universitas di dunia.
Dulu dia adalah dokter medis dan trainee bedah di NHS (National Health Service) Inggris. Kemudian beralih karir menjadi developer dan founder/CTO dari The App Brewery (bootcamp programming di London).
Sudah mengajar lebih dari 3 juta siswa di seluruh dunia melalui kursus-kursusnya di Udemy. Kursusnya sering mendapat rating sangat tinggi (banyak yang 4.7–4.8).
Kursus paling populer yang dia ajarkan
The Complete 202X Web Development Bootcamp (HTML, CSS, JavaScript, Node.js, MongoDB, dll.)
100 Days of Code: The Complete Python Pro Bootcamp
iOS & Swift App Development Bootcam
Kursus Flutter, React, AI, dan lain-lain.
Gaya mengajarnya sangat ramah, jelas, step-by-step, dan cocok untuk pemula. Banyak orang bilang kursusnya “best seller” dan “legend” di Udemy.
Kalau kamu lagi belajar programming (web dev, Python, iOS, dll.), hampir pasti namanya muncul sebagai rekomendasi terbaik.
#infotechbro
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