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Read the Tape gives players the same 5 S&P500 stock charts per day to predict. You select low, medium or high confidence and then call the chart UP or DOWN. It's a 1d chart which then resolves over 5 days. Alpha is scored against the Monkey Index, a basket of 11 random coin flips at low confidence which provides a tangible win/lose condition. We're two weeks in and some interesting data is being kicked up. Players like to call tops even though stonks go up- 60% of the 70 charts so far resolve hi

Max Korbacher explains why successful internal development platforms cannot be built on tech alone. He discusses the pitfalls of infrastructure-first thinking, the importance of a clear product mindset, and how to measure real value using DevEx and SPACE metrics. Learn how to align your team, manage tech debt, and foster a thriving community to ensure lasting platform adoption. By Max Körbächer

Augment Code's Vinay Perneti talks models, harnesses, and context.

AliExpress has been hit with a €550 million (about $629 million) fine for violating Europe's Digital Services Act (DSA) rules by failing to prevent illegal, unsafe, or counterfeit products from being sold on the e-commerce platform. The European Commission ruled that AliExpress didn't take effective measures to reduce the dissemination of illegal products, noting the […]

A story-driven game for learning Claude by doing Discussion | Link

Thomas Betts talks with Clare Liguori, the technical lead on the open source Strands Agents SDK. The conversation covers how Strands Agents has grown from a Python SDK to a full agent harness running in production. Clare shares some lessons learned from building agents at scale, shifting to a model-driven architecture, and what comes next as the LLMs that underpin agents continue to improve. By Clare Liguori

From monsters to kittens to strategy games, these sets will liven things up on nights when everyone is tired of screens.

So, I just read LeCun's interview with Nebius Science. I feel he had some cool points about LLMs being able to answer things, but not literally understand the physics of the physical world. (Like, being able to explain a task and actually performing it are two completely different things.) But I wanted to get opinions on what others thought of his solution to the problem. He thinks JEPA could be the solution. But it made me think about whether JEPA is genuinely the architectural solution to this, or if we’re just looking for a "magic bullet" that doesn't exist yet in our toolbox I have the link here: https://nebius.science/stories/meet-yann-lecuns-lab-and-the-ai-world-of-2030 submitted by /u/ConsciousGreenPepper [link] [留言]

From countertop kits to a bathroom bucket full of straw and beyond, I spent a year testing popular mushroom-growing methods. Here’s what fruited—and what just grew mold.

Free, open-source AI email client for Windows Discussion | Link

China's leading AI companies are ramping up the pressure on Silicon Valley, as Moonshot and Alibaba unveiled models they claim can go toe-to-toe with the best from OpenAI and Anthropic at a fraction of the cost. The rapid-fire releases suggest America's lead at the AI frontier is increasingly tight, just as the technology is becoming […]

Several Chinese businesses associated with the ebike brand Aipas settled a lawsuit with Amazon and the safety certification company UL in July.

AWS released Loom, an open-source reference platform on AWS Labs for governing AI agents at scale. Built on Strands Agents and Bedrock AgentCore Runtime, it implements RFC 8693 token exchange for identity propagation through delegated actor chains, config-driven deployments without runtime code generation, and mandatory tagging. AWS positions it as an example, not a managed service. By Steef-Jan Wiggers