XResearch05:00Ian Goodfellow@goodfellow_ianIn Aisle's first year, they've shown that the system built around an LLM is highly important, and even small, cheap fast models can be boosted to do valuable security work https://t.co/fOrK7l44P9Collected by WispRead in full↗
XResearch01:29Jeff Dean@JeffDeanHave a glimpse at this! Nice work, @AndrewDai and Elorian folks! https://t.co/2AoTYlnvySCollected by WispRead in full↗
XResearch00:15Jim Fan@DrJimFanGuanzhi's deep dive thread: https://t.co/LXfso5IRHaCollected by WispRead in full↗
XResearch20:39Yann LeCun@ylecun@alexandr_wang 😅😅 Proprietary AI model companies are the IBMs of yesteryear 😅😅 (and the new IBM is actually a massive supporter of open source and nothing like the old IBM).Collected by WispRead in full↗
XResearch00:51François Chollet@fcholletArgon has a similar performance profile on ARC-AGI-3 as Astra. Google is back at the frontier. https://t.co/a6GGEsMN4ACollected by WispRead in full↗
XResearch23:02François Chollet@fcholletEveryone wants to have solved a hard problem, but almost nobody wants to live inside the grind of actually solving it. The breakthroughs belong to the few who are obsessed with the process, not just the idea of the outcomeCollected by WispRead in full↗
XResearch05:05Jason Wei@_jasonwei@engyziedan thanks and happy to partner on the data for this work!Collected by WispRead in full↗
XResearch06:43Tri Dao@tri_daoTPUs have different bottlenecks from GPUs: few cores so you don’t need yo think about parallelism as much, large VMEM so easier to fuse kernels, but vector units have lower throughput so anything non matmul require much more care https://t.co/4ZdhowD46cCollected by WispRead in full↗
XResearch22:35François Chollet@fcholletYou can't solve real-world physical tasks through autoregressive sampling alone. The physical world is entirely unforgiving to hallucination or approximate pattern matching. If we want actual autonomous robotics we have to engineer causality and discrete reasoning back into the loop. Biwei and the team at Aether AI is doing exactly the kind of foundational, non-consensus work the field actually needs right now. https://t.co/UJtL2t0tQ2Collected by WispRead in full↗
XResearch12:00Yann LeCun@ylecun@jakobmollerfi @JordanMich45361 @BachFrancis Yeah, like with multilayer nets, backprop, ConvNets, deep learning, and self-supervised learning. If you agreed with me you were clearly on the wrong side of history. 🤪Collected by WispRead in full↗