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Blackstone to invest $5 billion in AI infrastructure venture with Google, powered by TPU chips
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Blackstone to invest $5 billion in AI infrastructure venture with Google, powered by TPU chips

Blackstone, the world's largest alternative asset manager with nearly $1 trillion under management, is betting billions that artificial intelligence infrastructure will become as essential—and profitable—as the physical real estate that built its fortune. The mega-investor's new $5 billion partnership with Google, anchored by custom AI chips designed to undercut Nvidia's dominance, signals a seismic shift in how the tech industry's most powerful players are reshaping the competitive landscape around AI. For startups and smaller companies locked out of Nvidia's supply chains, the deal could finally crack open a stranglehold that has defined the AI boom.

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Everyone Is Building AI Agents Wrong
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Everyone Is Building AI Agents Wrong

by Daniel García — Most AI agents fail for the same reason.

Medium faviconMedium·
AI Agents Are Not Replacing Developers. They Are Exposing Weak Engineers Faster
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AI Agents Are Not Replacing Developers. They Are Exposing Weak Engineers Faster

by The Stateless Samurai — AI agents are not coming for every developer.

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Bandit Algorithms in Experimentation: Balancing Exploration and Exploitation
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Bandit Algorithms in Experimentation: Balancing Exploration and Exploitation

by Atticus | Better Decisions — How bandit algorithms dynamically reallocate traffic to winning variants, when they outperform traditional A/B tests, and why the…

Medium faviconMedium·
Discussions

Erdos problem number 610 solved

r/accelerate faviconr/accelerate·
Discussions

AI Now vs 6 Years Ago

A great video for beginners explaining what LLMs do, providing some context and explanation about how they work, and what the progress over the last 6 years has produced. Remember that the people...

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This AI startup will clean your home for free to train future robots
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This AI startup will clean your home for free to train future robots

AI training startup Shift wants to clean your home for free. The catch - because, despite what its website says, there's always a catch - is that it will record cleaners as they scrub, vacuum, dust,...

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2 sources

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How I Would Make My First $1,000 Online as a Teen in 2026
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How I Would Make My First $1,000 Online as a Teen in 2026

by SM — If I had to start over with no audience, no connections, and no money

Medium faviconMedium·
I Loaded a Keras Model and It Ran My Shell Commands (CVE-2025–1550)
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I Loaded a Keras Model and It Ran My Shell Commands (CVE-2025–1550)

by Vincent Sica — CVE-2025–1550 | Keras < 3.9.0 | Code injection via .keras deserialization

Medium faviconMedium·
Python Feels Easy — But It’s More Powerful Than You Think
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Python Feels Easy — But It’s More Powerful Than You Think

by Areej Saeed — The language most beginners underestimate is quietly running automation, AI systems, cybersecurity tools, trading bots, and billion-dollar…

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Discussions

PSA

r/LocalLLaMA faviconr/LocalLLaMA·
Discussions

llama : website + unified `llama` binary · ggml-org/llama.cpp · Discussion #23875

new website: https://llama.app/

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Cognition’s Scott Wu says AI coding agents shouldn’t replace humans

Cognition makes Devin, the first and arguably most successful AI coding agent. But famed coder Wu says it isn't designed to supplant human programmers.

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Using Claude Code in Your Terminal: 8 Commands That Turn Bash Into Your AI Pair Programmer
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Using Claude Code in Your Terminal: 8 Commands That Turn Bash Into Your AI Pair Programmer

by abualyaanart — How to turn your plain Bash terminal into an AI-augmented coding cockpit using Claude Code, practical commands, and a workflow that…

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Basic Data Analysis and ML Protocol
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Basic Data Analysis and ML Protocol

by Patrick Martins — This document describes a step-by-step protocol for data analysis in Python (pandas, numpy, scikit-learn, imbalanced-learn, shap…

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Building Variational Autoencoders (VAEs) From Scratch While Reading the Paper
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Building Variational Autoencoders (VAEs) From Scratch While Reading the Paper

by Himanshu7921 — 1. Introduction

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RAG Is Burning Money — I Built a Cost Control Layer to Fix It

by Emmimal P Alexander — Most RAG systems are optimized for answer quality, not cost—and that blind spot gets expensive fast. In this article, I break down a production-ready cost control layer combining semantic caching,...

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Scaling safe enterprise AI with OpenAI governance frameworks
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Scaling safe enterprise AI with OpenAI governance frameworks

OpenAI’s latest governance frameworks offer enterprise leaders a structured blueprint for scaling safe and compliant AI deployments globally. The adoption of large language models has steadily...

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Building a Production Multi-Agent Content Pipeline With N8N and OpenRouter: Five Agents, Five…
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Building a Production Multi-Agent Content Pipeline With N8N and OpenRouter: Five Agents, Five…

by Alex Ashcroft — Building a Production Multi-Agent Content Pipeline With N8N and OpenRouter: Five Agents, Five LessonsMulti-agent systems break in interesting ways. After running 100,000 words through five chained...

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