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Published August 16, 2026 | Version v1 Dataset Open Rayan Pal Primary Source Record: December 8, 2025 – August 15, 2026 Authors/Creators Pal, Rayan (Researcher) Description Primary-source evidentiary archive documenting…
13 Join the conversation Follow us Add us as a preferred source on Google The Salem City Council convened a public meeting last July 27, where it discussed the proposed $5.1 billion Oakline at Mill Creek data center by…
Influencers are being pelted with virtual tomatoes for promoting AI companies — and it's prompting strategy shifts and high-stress decisions in the creator economy. At the height of summer, OpenAI brought a group of inf…
Google will soon allow you to customize your Discover feed by describing what you want to see. The new feature, rolling out to the Google app in the "coming days," will use AI to automatically tweak your feed and "remember" your preferences for future visits. You'll find the option within the three-dot menu on your Discover feed. As shown in a video shared by Google, tapping the feature will open a chatbot-style interface, where you'll be able to describe your preferences. The chatbot will confirm your choices and lay out the types of content it will prioritize, but you'll also have the option to add more information if it doesn't get it qu … Read the full story at The Verge.
Amazon Bedrock now offers OpenAI GPT-5.6 models (Sol, Terra, and Luna) in more than 25 AWS Regions with cross-Region inference. Learn how US geographic and global inference profiles route requests for higher throughput, how to call the models with the OpenAI and Converse APIs, and how to configure IAM, quotas, and monitoring.
Per month, GitHub now sees 2.9 billion commits, 130 million merged pull requests, and 24 million new repos. Back in The post GitHub added 3 million CPU cores. It still couldn’t keep up with your commits. appeared first on The New Stack.
Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your AWS account and Snowflake environment for a no-code ML workflow with Amazon SageMaker Canvas, laying the foundation for building a fraud detection model without writing code.
In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying the groundwork for interactive dashboards in Part 3.
In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashboards, use generative BI to answer questions in natural language, and publish AI-generated executive summaries for stakeholders.
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London-based artificial intelligence startup Callosum Ltd. today announced that it has raised $100 million in funding. Atomico led the seed investment with participation from Plural, DCVC, and the U.K. Sovereign AI Fund. The deal follows a $10.25 million raise in February. Callosum offers a cloud service called Tailored Inference that helps developers increase the efficiency […] The post AI workload optimization startup Callosum raises $100M appeared first on SiliconANGLE.
Idea in Brief The Problem Strategic decision-making has long been constrained by bounded rationality. Leaders can generate, evaluate, and debate only a limited number of strategic options because humans have finite time…
Google says its new Pixel Watch 5 outperforms the location tracking on the Garmin Fenix 8 Pro. I put them to the test.
I build a marketing automation tool. To prove it worked, I pointed it at four of my own websites and let it run unattended from March 2026: pick keywords, write the article, pass a quality gate, publish to WordPress. No…
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Before you tune candidate depth, use the pre-tuning checks to verify index state and set a labeled baseline. Everything below measures against that baseline. Candidate depth is the number of candidates a retrieval stage passes to a later ranking stage. It matters only when a later stage can use the extra candidates. In hybrid search, every prefetch carries its own limit, and a multi-stage query that nests one prefetch inside another sets a depth at each level. In dense-only or sparse-only search, it is the number of candidates you pass to a reranker or other downstream stage.
Matt Pocock tells us about his /wayfinder skill, for greenfield projects or for when the way forward is unclear.
Hey HN! What does a regular workflow at a startup look like? Probably like this: > One founder talks to customers > Another founder builds > A customer asks for something. The first founder explains it to the second. Th…
Neal Riley Aug 20, 2026 If you want to understand how AI has progressed in recent years, look no further than the evolution of Anthropic’s system prompts. Many are unaware that Anthropic actually publishes its system pr…
Paper introductions and discussions show more signs of AI use than results sections. Credit: Laurence Dutton/Getty The use of artificial intelligence to write scientific papers could be much more prevalent than was prev…
Astrobot brings a $12,700 cable-driven humanoid to market # QbitAI 7h At China's World Robot Conference, Astrobot showcased a full-stack home robot with a cable-driven body priced from 89,900 yuan, roughly $12,700. More…
The Google Pixel Watch 5 is a faster, intelligent smartwatch with some helpful health and wellness features under the hood.
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PDFs are easy to read and hard to change. AI can now summarize a 90-page contract in seconds, but it still won't rewrite the source file cleanly. UPDF is built for that second half: direct editing, 14-format conversion, 38-language OCR, and ten AI agents shipped in version 2.5. The post Meet UPDF: A Lightweight Adobe Alternative Built for the Agentic Era appeared first on MarkTechPost.
If you’re a software engineer like me, the first few months of 2026 were incredible. Coding agents suddenly became good enough that we no longer needed to manually write code. But if you’re like me, then sometime later…
Somewhere in your warehouse, hundreds of stored procedures wake up every night and...
In an updated blog post, OpenAI said that an ongoing review of the incident revealed that “four accounts” tied to “publicly available services” were used by the AI agent as part of a larger effort to hack Hugging Face.…
Three ~300M drafters bring speculative decoding to LFM2.5, delivering up to 3.18x faster decoding with identical greedy output. The post Liquid AI Releases LFM2.5-DSpark Draft Models That Deliver Up to 3.18x Faster Decoding Without Changing Model Outputs appeared first on MarkTechPost.