Pangram is releasing a new model today! Pangram 3.2 is a significant improvement over 3.1 in several aspects - Improved performance on 'humanized' text - Improved performance on adversarial prompts - Minimum word reduced from 75 to 50 - Overall improvement on Claude 4.6 recall

Wow this is so cool

ai dot com purchased for $70m. METR evals going exponential. former crypto grifters signalling we're in a bubble big labs signalling recursive self improvement I wonder, if the bubble pops, will it even matter?

I was going to write a whole effortpost about model evaluations but instead here, just take this chart

Digital ads are one of the greatest positive-sum technologies of the 21st century. Google Search has 4 billion users, and they make on average $40 per user per year. This type of business model couldn't exist without ads; Google cannot find 4 billion people who would pay $40 for ad-free search.

Pretty cool project on /r/localllama - they take human written text and sloppify it 10x with 4o-mini, then train the model to de-slop by reversing the transformation

There are only two hard problems in computer science: building artificial superintelligence, and naming things

🚨 New Study 🚨 @arxiv.bsky.social has recently decided to prohibit any 'position' paper from being submitted to its CS servers. Why? Because of the "AI slop", and allegedly higher ratios of LLM-generated content in review papers, compared to non-review papers.

so far I have found three separate tpot starter packs with nearly zero overlap. completely distinct ingroups. interesting

Hello bluesky.... its @max_spero_ on x dot com formerly twitter