Massively Parallel Procrastinator

This is Alex Finn He’s costed so many people their hard earned money during his Mac mini grift Now he’ll reuse the same script for the DGX Spark He doesn’t know how to highlight any hardware strengths/weaknesses Zero substance or knowledge of local AI Go grift something else

Do you know which agent skills are useless in your setup? The ones you installed just in case and probably forgotten by now?

A Lighthouse layer replaces standard scaled dot-product attention with four stages that surround, but do not modify, the attention kernel. Q, K, and V are average-pooled into an L-level pyramid with pooling factor p. Per-head norms score every pyramid entry, and a coarse-to-fine top-k cascade selects survivors at each level. The chosen entries are gathered into a contiguous, causally-sorted sub-sequence on which standard attention runs, and the outputs are scattered back to their base positions. Because the gathered sub-sequence is dense and topologically causal, the standard lower-triangular mask works as is, the forward and backward pass of the attention itself remains unchanged, and every upstream attention improvement is inherited for free. The trained model has to remain a competent dense-attention model after sparse training, so the recipe is two-stage. For the majority of the budget, the model trains with Lighthouse selection enabled. For a brief tail, selection is disabled and training continues under standard attention, with the same optimizer state and dataloader continuation. We treat this as the load-bearing claim of the work: sparse training does not compromise the model's ability to use full attention at inference.

anthropic is charging 6x for fast mode on opus 4.7. that is not a typo. standard opus 4.7: $5 per million input tokens, $25 per million output tokens. fast mode on opus 4.7: $30 input, $150 output. literal 6x on both sides. even worse, fast mode bypasses your subscription entirely. your $200 a month max plan does not cover it. from the very first token in fast mode, every single token is billed to extra usage at the 6x rate. mid-conversation toggle? the entire context gets re-billed at 6x uncached. the trade-off they are selling: 2.5x faster output for 6x cost. you are paying 2.4x more per unit of speed gained. as of today, opus 4.7 becomes the default fast mode model. toggle /fast by reflex, wake up to a bill you didn't expect. this is why i keep saying buy a gpu.

Working on a “Hooded Ouroboros” collection of Herm skins. Work your Hermes with style! Kaio has already laid amazing foundational work, just trying to open up the spectrum.

One of my favorite submissions from our hackathon, I especially loved part of the intro video between 00:20 and 30 seconds, it made me laugh out loud. It seems like the quality of submissions just goes up with each time we do one of these ^^.

Sanders and AOC introduced a bill to pause ALL AI data center construction. 300+ local bills filed. Half of planned 2026 data centers facing delays or cancellation. Each one brings billions to local economies. The people who say they want American jobs are trying to block the biggest job creation engine since the interstate highway system.