ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration
Daily edition · AI
The daily ledger
TILens turns technical updates into a focused daily brief: official releases, trusted reporting, and practitioner analysis, deduplicated and organized by topic.
16 articles · 8 sources · 2 papers ·
Top topics: AI · AI Labs · Hugging Face
Introducing Claude Sonnet 5
Sonnet 5 delivers frontier performance across coding, agents, and professional work at scale.
Expanding our Heat Resilience data to 50+ global cities
Climate & Sustainability
Redeploying Fable 5
Fable 5 returns globally July 1. We're also proposing an industry-wide framework for scoring jailbreak severity, together with Amazon, Microsoft, Google, and other Glasswing partners.
Claude Science, an AI workbench for scientists, is now available
Claude Science is a customizable app that integrates the tools and packages researchers most often use, produces auditable artifacts, and provides flexible access to computing resources.
Why Specialization Is Inevitable
Introducing TabFM: A zero-shot foundation model for tabular data
Data Management
How ChatGPT adoption has expanded
New OpenAI Signals data shows how ChatGPT adoption is growing globally, with users increasing usage, exploring more capabilities, and driving growth across regions and languages.
Unlocking Britain’s next era of productivity: Building a nation of AI trailblazers
Four illustrated characters representing different professional roles, including a scientist, technician, explorer, and observer.
Featuring Every Eval Ever Results on Hugging Face Model Pages
Introducing GeneBench-Pro
Introducing GeneBench-Pro, a new benchmark testing AI performance in genomics, biology, and scientific research using complex, real-world datasets.
Inside Genebench-Pro
Core dump epidemiology: fixing an 18-year-old bug
OpenAI engineers used large-scale core dump analysis to debug rare infrastructure crashes, uncovering both a hardware fault and a long-standing software bug.
How LLMs Actually Generate Text
Text generation looks like one function call. Underneath, it's a loop: infer, pick a token, append it, repeat. Watch how Transformers.js runs an LLM step by step.. and understand what's actually happening every time you…
Altern #17 - The Industry Is Growing Up
A quick roundup of the biggest AI stories, why they matter, and what they mean for the weeks ahead.
Fully Automated AI Inference on AWS, Azure, and Google Cloud with Pulumi
Putting Ollama on a cloud GPU is something I keep coming back to. A while ago I wrote up running open-source LLMs on an AWS EC2 box with Ollama and Pulumi, and the shape never really changes: a GPU instance, a model…