Tag: quality

  • Simon Willison’s Weblog: gpt-image-1-mini

    Source URL: https://simonwillison.net/2025/Oct/6/gpt-image-1-mini/#atom-everything Source: Simon Willison’s Weblog Title: gpt-image-1-mini Feedly Summary: gpt-image-1-mini OpenAI released a new image model today: gpt-image-1-mini, which they describe as “A smaller image generation model that’s 80% less expensive than the large model." They released it very quietly – I didn’t hear about this in the DevDay keynote but I later…

  • Docker: Unlimited access to Docker Hardened Images: Because security should be affordable, always

    Source URL: https://www.docker.com/blog/unlimited-access-to-docker-hardened-images-because-security-should-be-affordable-always/ Source: Docker Title: Unlimited access to Docker Hardened Images: Because security should be affordable, always Feedly Summary: Every organization we speak with shares the same goal: to deliver software that is secure and free of CVEs. Near-zero CVEs is the ideal state. But achieving that ideal is harder than it sounds, because…

  • Cloud Blog: More choice, more control: self-deploy proprietary models in your VPC with Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/new-proprietary-models-vertex-model-garden/ Source: Cloud Blog Title: More choice, more control: self-deploy proprietary models in your VPC with Vertex AI Feedly Summary: Building the best AI applications requires both the freedom to choose the most powerful, specialized model for the task at hand, and a platform that can handle them all. This flexibility is core…

  • Docker: Llama.cpp Gets an Upgrade: Resumable Model Downloads

    Source URL: https://www.docker.com/blog/llama-cpp-resumable-gguf-downloads/ Source: Docker Title: Llama.cpp Gets an Upgrade: Resumable Model Downloads Feedly Summary: We’ve all been there: you’re 90% of the way through downloading a massive, multi-gigabyte GGUF model file for llama.cpp when your internet connection hiccups. The download fails, and the progress bar resets to zero. It’s a frustrating experience that wastes…

  • Slashdot: Mouse Sensors Can Pick Up Speech From Surface Vibrations, Researchers Show

    Source URL: https://it.slashdot.org/story/25/10/05/2225224/mouse-sensors-can-pick-up-speech-from-surface-vibrations-researchers-show?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Mouse Sensors Can Pick Up Speech From Surface Vibrations, Researchers Show Feedly Summary: AI Summary and Description: Yes Summary: Researchers from the University of California, Irvine, have identified a security vulnerability in high-performance optical mice that can be exploited to capture audio data from a user’s environment, effectively turning…

  • The Register: AI devs close to scraping bottom of data barrel

    Source URL: https://www.theregister.com/2025/10/03/ai_training_requires_more_data/ Source: The Register Title: AI devs close to scraping bottom of data barrel Feedly Summary: Analysts at Goldman Sachs Global Institute say training is starting to hit its limits, enterprise info troves may be last hope Those spiffy AI systems that tech companies keep promising require mountains of training data, but high-quality…

  • Slashdot: AI Has Already Run Out of Training Data, Goldman’s Data Chief Says

    Source URL: https://slashdot.org/story/25/10/02/191224/ai-has-already-run-out-of-training-data-goldmans-data-chief-says?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI Has Already Run Out of Training Data, Goldman’s Data Chief Says Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a critical perspective on the current state of AI training data, highlighting the limitations developers face as they build new AI systems. It mentions the use…

  • Tomasz Tunguz: Data & AI Infrastructure Are Fusing

    Source URL: https://www.tomtunguz.com/data–ai-infrastructure-are-fusing/ Source: Tomasz Tunguz Title: Data & AI Infrastructure Are Fusing Feedly Summary: AI breaks the data stack. Most enterprises spent the past decade building sophisticated data stacks. ETL pipelines move data into warehouses. Transformation layers clean data for analytics. BI tools surface insights to users. This architecture worked for traditional analytics. But…