Open Source - Page 14 of 23
Open-source AI projects, community innovations, collaborative development, and freely accessible AI tools and frameworks.
Open-source AI projects, community innovations, collaborative development, and freely accessible AI tools and frameworks.
Speed matters, but not always in the way you’d expect. The new GLM-5 Turbo from z.ai isn’t built to win a first-token race on OpenRouter, its strength lies in the long haul, where completion stability and low tool failure rates outshine instant...
Three stories, three distinct battlefields in the AI war, and none of them are quiet. Anthropic, once content to litigate through open letters, now sues the President of the United States.
David Sacks has a new argument for leaving Iran: his wallet. As the White House’s AI czar, Sacks is privately urging Donald Trump to withdraw, framing it not as a moral imperative but a financial one.
For a feature that Meta itself touted as a privacy milestone just two years ago, the company is now quietly pulling the plug.
Silicon is the new oil, and the AI boom is drilling it dry. By 2026, data centers, those humming cathedrals of computation, are projected to consume nearly 70 percent of the world’s RAM production, according to The Wall Street Journal.
The gap between a validated GPU cluster and a production-ready one can be measured in milliseconds, or weeks of debugging.
You already know Python. That’s your edge. The temptation is to scatter your attention across a dozen shiny tools, but the fastest path to data fluency is to double down on what you have.
The GPU sits dark. The clock ticks. Revenue evaporates. Across neocloud operators, idle hardware is a silent drain, a missed opportunity that continuous batching could turn into a steady stream of inference income.
Nvidia has just given every other model developer a headache. The company’s new Nemotron 3 Super is not merely faster. It's a weird, three-headed thing built on a specific piece of silicon.
Nvidia’s real business is selling shovels. Now it’s buying the whole mine. The company is committing $26 billion to develop open-weight AI models. It’s a massive number, but the goal is simple.
Canva just made a liar out of the old adage that you can’t change the spots on a leopard, at least when that leopard is an AI-generated image.
Forty million users. That’s how many teens and tweens now have access to Viggle AI, a platform that lets anyone, no skill required, slap a real person’s face onto a grotesque, twitching body.
A federal judge just locked Perplexity's shopping bots out of Amazon. The order is rooted in what the court calls "strong evidence" of unauthorized access, and it goes far beyond a simple cease-and-desist.
Monday mornings, the agent checks in. It pulls Salesforce into focus, queries BigQuery for patterns, then scans the open web for funding rounds, product launches, the latest AI moves. Two audiences, two lenses.
Google just released an agent with no vector database. None. Its memory is a single SQLite file and the model's own decisions.
You’re wearing Meta’s smart glasses, capturing a birthday party, a quiet argument, a moment of vulnerability. The device is sleek, the promise of hands-free convenience intoxicating.
The open secret of coding agents is they're often stupid. They flail. LangChain just released a fix: eleven canned skills you can plug into most agents, a cheat sheet for the basics of its own ecosystem.
Alibaba's Qwen3.5 release last month was a statement. It offered a path for AI to move from answering questions to actually doing work. The response from developers was genuine excitement. Now, the architects of that plan are leaving.
Apple’s big AI push for Siri has a quiet, crucial detail buried in the fine print. User data could end up on Google’s servers.
Alibaba just dropped a bomb on the open-source AI world. The Qwen3.5-Medium models are here, and they match Sonnet 4.5’s performance, on your local machine. That’s not a headline; it’s a seismic shift.
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