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[D] ACL 2026 Decision
ACL 2026 decision are soon to be published ( submitted by /u/007noob0071 [link] [comments]
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Coding Agents Have Hands But No Eyes
Sebastian Raschka just published a clean taxonomy of coding agent components . Six categories: live repo context, prompt caching, structured tools, context reduction, memory, and resumption. It's solid engineering work. But read it carefully and you'll notice something: every component serves task completion . Not a single one serves perception . The Hidden Assumption Most agent frameworks start here: given a goal, decompose it into steps, execute. This is goal-driven architecture. You tell the agent to fix a bug, write a test, refactor a function. It doesn't need to perceive its environment — you are its eyes. This works great for coding agents. The problem is when people assume this is what all agents look like. What If the Agent Looks Before It Leaps? Imagine a different starting point:
Gemma4 26B A4B runs easily on 16GB Macs
Typically, models in the 26B-class range are difficult to run on 16GB macs because any GPU acceleration requires the accelerated layers to sit entirely within wired memory. It's possible with aggressive quants (2 bits, or maybe a very lightweight IQ3_XXS), but quality degrades significantly by doing so. However, if run entirely on the CPU instead (which is much more feasible with MoE models), it's possible to run really good quants even when the models end up being larger than the entire available system RAM. There is some performance loss from swapping in and out experts, but I find that the performance loss is much less than I would have expected. I was able to easily achieve 6-10 tps with a context window of 8-16K on my M2 Macbook Pro (tested using IQ4_NL and Q5_K_S). Far from fast, but
The CEO Building the Most Powerful AI on Earth Just Admitted It Will Destroy Half Your Industry.
January 26, 2026. Dario Amodei published a 20,000-word essay warning that AI will displace 50% of entry-level white-collar jobs in 1–5… Continue reading on Towards AI »
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[D] KDD Review Discussion
KDD 2026 (Feb Cycle) reviews will release today (4-April AoE), This thread is open to discuss about reviews and importantly celebrate successful reviews. Let us all remember that review system is noisy and we all suffer from it and this doesn't define our research impact. Let's all prioritise reviews which enhance our papers. Feel free to discuss your experiences submitted by /u/BomsDrag [link] [comments]
The CEO Building the Most Powerful AI on Earth Just Admitted It Will Destroy Half Your Industry.
January 26, 2026. Dario Amodei published a 20,000-word essay warning that AI will displace 50% of entry-level white-collar jobs in 1–5… Continue reading on Towards AI »
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