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The launch of the new study features marks Google's latest effort to make Gemini the AI assistant that students turn to when learning and studying, as it continues to compete with companies like OpenAI.
As we're gearing up for back-to-school season, Google is rolling out a new dedicated student hub in Gemini. It's a one-stop repository for collecting research in a study notebook, creating flashcards, taking practice quizzes, and more. Google is also enhancing its study notebooks with support for graphs and images. It can even add test dates and deadlines to your Google Calendar based on your syllabus. Google is also adding Deep Research to Gemini Live. You can ask Gemini to generate complicated research reports and talk through the results. If it's taking a while, you can close the chat and lock your phone screen, and Gemini will let you k … Read the full story at The Verge.
Valve just leaked several new videos showing the Steam Frame's unboxing, setup process, and various accessories. The videos apparently appeared on the ARM Steam client following an update, but they were "quickly pulled after that," according to the Steam Hardware Updates account on X. The Steam Frame is Valve's virtual-reality headset that can stream games from a PC or play them locally. Valve first took the wraps off the headset last year, and it offers LCD screens with 2160 x 2160 resolution per eye, a Snapdragon 8 Gen 3 chip, and an up to 110-degree field of view. But these leaked videos offer a closer look at what it might be like to un … Read the full story at The Verge.
Now that Unitree Robotics has made its IPO, which humanoid robotics companies will follow in its footsteps? The post What does Unitree Robotics IPO mean for the humanoid industry? appeared first on The Robot Report.
A production account of scaling an enterprise integration pipeline from 500 to 8,000 events per second, and the two correctness guarantees the throughput work was never allowed to trade away. The post How to Scale an Integration Pipeline Without Breaking Correctness appeared first on Towards Data Science.
What actually happens inside Claude Code, Cursor, and every other long-running coding agent when the context window fills up and why just Continue reading on Medium »
AI is moving beyond systems that simply generate text.Continue reading on Medium »
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The AI buildout shows no signs of slowing. And with hundreds of billions of dollars a year going into data centers and GPUs, compute has become the single biggest cost for anyone building AI products. But for all that spending, there still isn’t a straightforward way to put a price on compute — or for firms to hedge their exposure when the price changes. Silicon Data [ ]
With a looming IPO, intense competition from Anthropic, and Chinese and open-weight rivals nipping at its heels, OpenAI has plenty of reasons to move fast. Instead, it hit the brakes. On Tuesday, the company said it had slowed the pace of some AI development while it tightened security and safeguards. That included a two-week pause in reinforcement learning training on its "latest models intended for deployment," and an ongoing delay to its "largest planned frontier RL run." The decision is a very public test of an idea AI safety advocates have pushed for for years: that companies should be willing to bow out of the AI race and slow things … Read the full story at The Verge.
Clips of what appears to be Grand Theft Auto VI have hit the internet, possibly spoiling aspects of the game ahead of Rockstar Games' deep dive debuting on Netflix next week and its long-awaited launch in November. I've seen three clips seemingly showing off the game, though two have been pulled from the site I saw them on "due to a copyright claim." The first clip (now removed) was a quiet scene that mostly focused on Jason Duval, one the game's two protagonists, shooting a basketball into a hoop. Another clip (also removed) featured more of the crime-focused gameplay you'd expect from GTA, including Duval hitting a person with a wrench, a … Read the full story at The Verge.
A controlled comparison of a top-5 RAG pipeline and a full 127,000 token prompt on the same 12 questions, same system prompt and same model. Graded blind on correctness, completeness and grounding. The post Kimi K3’s 1M Token Context Window vs. RAG: Cost, Latency and Answer Quality appeared first on Towards Data Science.