Split between buying a smart calendar, a kitchen TV, a smart home hub, and a smart display? Amazon’s Echo Show 21 is all of those things in one, with a huge 21-inch screen. You can use it to control your smart lights, glance at recipes, watch TV shows, and more. Currently, Best Buy and Home […]
Hannah Chin and Nate Rott of NPR's Short Wave podcast talk about the building blocks of birdsong, the evolutionary history of avocados and Egyptian warrior princesses.
The Trump administration has terminated or suspended more than 100 federal advisory committees. Former members say agencies like NASA now have less accountability to stakeholders and the public.
Sonam Wangchuk has ended his hunger strike after 26 days, saying the decision follows a "long negotiation" on various conditions and "in view of possible violence in the country."
Developers & Open Source · langchain-ai/langchain Releases
Hi, everyone! We've just released Chrome 150 (150.0.7871.186) for Android. It'll become available on Google Play over the next few days. This release includes stability and performance improvements. You can see a full list of the changes in the Git log . If you find a new issue, please let us know by filing a bug . Android releases contain the same security fixes as their corresponding Desktop releases (Windows & Mac: 150.0.7871.181/182, Linux: 150.0.7871.181) unless otherwise noted. Krishna Govind Google Chrome
The Stable channel has been updated to 150.0.7871.186/.187 for Windows and Mac and 150.0.7871.186 for Linux, which will roll out over the coming days/weeks. A full list of changes in this build is available in the Log Security Fixes and Rewards Note: Access to bug details and links may be kept restricted until a majority of users are updated with a fix. We will also retain restrictions if the bug exists in a third party library that other projects similarly depend on, but haven’t yet fixed. This update includes 4 security fixes. Please see the Chrome Security Page for more information. [N/A][ 518237034 ] High CVE-2026-16807: Out of bounds write in Codecs. Reported by Google on 2026-05-30 [N/A][ 522064153 ] High CVE-2026-16806: Use after free in WebMCP. Reported by Google on 2026-06-10 [N/A][ 523292588 ] High CVE-2026-16805: Use after free in Blink. Reported by Google on 2026-06-12 [N/A][ 524721670 ] High CVE-2026-16804: Use after free in Input. Reported by Google on 2026-06-16 We would also like to thank all security researchers that worked with us during the development cycle to prevent security bugs from ever reaching the stable channel. Many of our security bugs are detected using AddressSanitizer , MemorySanitizer , UndefinedBehaviorSanitizer , Control Flow Integrity , libFuzzer , or AFL . Interested in switching release channels? Find out how here . If you find a new issue, please let us know by filing a bug . The community help forum is also a great place to reach out for help or learn about common issues. Daniel Yip Google Chrome
Developers & Open Source · langchain-ai/langchain Releases
Changes since langchain-core==1.5.0 release(core): 1.5.1 ( #39042 ) feat(anthropic,fireworks,openai): support langsmith gateway through env var ( #38742 ) fix(core): use tool_call_schema cache for BaseTool token counting in count_tokens_approximately ( #39020 )
Sonam Wangchuk has broken his hunger strike after 26 days, saying the decision follows a "long negotiation on various conditions and in view of possible violence in the country
OpenAI and Anthropic both rolled out major voice updates on Thursday afternoon, but the frontier AI labs seem to be The post OpenAI and Anthropic both speak at once with dueling voice updates appeared first on The New Stack .
Now when a GitHub Actions check fails on your pull request, you can ask Copilot coding agent to investigate and directly fix the problem from GitHub Mobile. From the failed… The post GitHub Mobile: Fix failing Actions checks with Copilot cloud agent appeared first on The GitHub Blog .
As the chairman of the Federal Communications Commission, Brendan Carr has authority over the nation’s TV, radio, and internet. But since Donald Trump was elected to his second term, Carr has wielded that power to threaten broadcasters that have exercised their free speech rights to make jokes about the president. He was even able to […]
OpenAI is rolling out "Health in ChatGPT" to U.S. users, connecting Apple Health, medical records, and wellness apps. More than 300 million people already ask ChatGPT health questions every week, but paying users get better answers. The more powerful GPT-5.6 Sol model is reserved for premium subscribers, while free users are stuck with the weaker GPT-5.5 Instant. The article ChatGPT will give you worse health advice if you don't pay appeared first on The Decoder .
I’ve been building Echo ( https://echo.tracerml.ai/ ), an experiment in making one AI system out of a pool of open-weight models rather than choosing a single model and using it for every task. It started with a simple experiment. I took a group of models, including GLM-5.2, Kimi K2.7 and others, and ran them on the same evaluations. Then I measured what would happen if, for each problem, you somehow knew in advance which models would be useful and how their outputs should be combined. That hypothetical system performed substantially better than any individual model in the pool. Of course, it is not something you can actually deploy because it relies on knowing which decisions were good after seeing the result. Echo is my attempt to recover some of that advantage without having that information in advance. For each request, Echo decides how much computation to allocate, which models should participate, and how their work should be combined. Some prompts may only need a relatively small amount of inference, while others benefit from multiple models working on different parts of the problem. One thing that surprised me while building it was how complementary the models are. A model that is clearly weaker overall can still be extremely useful on particular problems or as part of a combination. On my first evaluation mix, Echo consistently performed better than the best individual model in its pool. It also reached roughly the same aggregate result as Fable, which I used as one of the stronger comparison systems, at around one third of the inference cost. There are still some cases where Echo makes the wrong allocation or combination decision. I’m currently spending a lot of time understanding those failures, as well as testing whether the same approach holds up on coding and agentic tasks where measuring the quality of each decision becomes much harder. I built a chat interface (echo.tracerml.ai) and an OpenAI-compatible API ( https://echo.tracerml.ai/docs/api ) so the system can be tested outside the evaluation setup. Here is a short/high level video on how it works: https://www.youtube.com/watch?v=lJFJSvOdXhg I wrote up the evaluation methodology, individual model results, costs and current limitations here: https://echo.tracerml.ai/eval I would love for you to try it! Especially if you hit any weird failure cases or places where the allocation looks unintuitive. Comments URL: https://news.ycombinator.com/item?id=49026810 Points: 296 # Comments: 147