Tag: tokens

  • Simon Willison’s Weblog: My tools colophon now has AI-generated descriptions

    Source URL: https://simonwillison.net/2025/Mar/13/tools-colophon/ Source: Simon Willison’s Weblog Title: My tools colophon now has AI-generated descriptions Feedly Summary: My tools colophon now has AI-generated descriptions The /colophon page on my tools site lists all 78 of my tools along with their commit histories, including links to prompting transcripts. I wrote about how I built that. the…

  • Simon Willison’s Weblog: Quoting Ai2

    Source URL: https://simonwillison.net/2025/Mar/13/ai2/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ai2 Feedly Summary: Today we release OLMo 2 32B, the most capable and largest model in the OLMo 2 family, scaling up the OLMo 2 training recipe used for our 7B and 13B models released in November. It is trained up to 6T tokens and post-trained…

  • Rekt: Not So Safe

    Source URL: https://www.rekt.news/not-so-safe Source: Rekt Title: Not So Safe Feedly Summary: North Korea’s Lazarus Group stole $1.4B from Bybit’s signers by exploiting a simple vulnerability in Safe’s system. A single yaml.load execution bypassed high-end security, turning a supposedly impenetrable system into one of the industry’s biggest disasters. AI Summary and Description: Yes Summary: The text…

  • The Register: Nvidia won the AI training race, but inference is still anyone’s game

    Source URL: https://www.theregister.com/2025/03/12/training_inference_shift/ Source: The Register Title: Nvidia won the AI training race, but inference is still anyone’s game Feedly Summary: When it’s all abstracted by an API endpoint, do you even care what’s behind the curtain? Comment With the exception of custom cloud silicon, like Google’s TPUs or Amazon’s Trainium ASICs, the vast majority…

  • Simon Willison’s Weblog: Notes on Google’s Gemma 3

    Source URL: https://simonwillison.net/2025/Mar/12/gemma-3/ Source: Simon Willison’s Weblog Title: Notes on Google’s Gemma 3 Feedly Summary: Google’s Gemma team released an impressive new model today (under their not-open-source Gemma license). Gemma 3 comes in four sizes – 1B, 4B, 12B, and 27B – and while 1B is text-only the larger three models are all multi-modal for…

  • Simon Willison’s Weblog: Notes on Google’s Gemma 3

    Source URL: https://simonwillison.net/2025/Mar/12/notes-on-googles-gemma-3/ Source: Simon Willison’s Weblog Title: Notes on Google’s Gemma 3 Feedly Summary: Google’s Gemma team released an impressive new model today (under their not-open-source Gemma license). Gemma 3 comes in four sizes – 1B, 4B, 12B, and 27B – and while 1B is text-only the larger three models are all multi-modal for…

  • NCSC Feed: ROCA: Infineon TPM and Secure Element RSA Vulnerability Guidance

    Source URL: https://www.ncsc.gov.uk/guidance/roca-infineon-tpm-and-secure-element-rsa-vulnerability-guidance Source: NCSC Feed Title: ROCA: Infineon TPM and Secure Element RSA Vulnerability Guidance Feedly Summary: Guidance for those who want to understand and reduce the impact of the ROCA vulnerability. AI Summary and Description: Yes Summary: The provided text discusses the implementation and vulnerabilities of Trusted Platform Modules (TPMs) and Secure Elements…

  • Hacker News: Gemma 3 Technical Report [pdf]

    Source URL: https://storage.googleapis.com/deepmind-media/gemma/Gemma3Report.pdf Source: Hacker News Title: Gemma 3 Technical Report [pdf] Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a comprehensive technical report on Gemma 3, an advanced multimodal language model introduced by Google DeepMind. It highlights significant architectural improvements, including an increased context size, enhanced multilingual capabilities, and innovations…

  • The Register: ‘Uber for nurses’ exposes 86k+ medical records, PII in open S3 bucket for months

    Source URL: https://www.theregister.com/2025/03/11/uber_for_nurses_exposes_86k/ Source: The Register Title: ‘Uber for nurses’ exposes 86k+ medical records, PII in open S3 bucket for months Feedly Summary: Non-password-protected, unencrypted 108GB database…what could possibly go wrong Exclusive More than 86,000 records containing nurses’ medical records, facial images, ID documents and more sensitive info linked to health tech company ESHYFT was…