Why did editing 0.016% of AI weights increase math performance by 6x? The mechanics and configuration secrets of the MIT study

Conclusion: The 0.016% weight edit fixed "premature termination due to thinking loops," and even unedited models can reach an ...
GitHub

MAWNSTR Match

Contribute to jonaslindeberg/mawnstr-match development by creating an account on GitHub.
GitHub

learning-rate-schedule.html

const T = 10000, PEAK = 0.001, L = 62, R = 405, TOP = 12, B = 196; const px = t => L + t / T * (R - L), py = v => B - v / (PEAK * 1.08) * (B - TOP); function rate(t ...
KESQ

What families can do about AI voice-cloning scams this Thanksgiving

By Trevor Mahoney for PeopleWin AI has been developing at an unprecedented rate, but not all advancements are positive. Some scammers are incorporating it into their fraud tactics to try to swindle ...
KESQ

Survey: The loyalty program benefits people value most

By Katie Genter for The Points Guy Free flights and hotel nights may be the first things that come to mind when you think of ...