Kimi K3 in the next few hours. Deepseek V4 GA later in the week. New Liquid models. New Mistral models sometime this month. And some rumours suggest GLM 5.5 is coming in August. Openweight AI is eating good.

dam bois we eating good this week ngl, The velocity of the open_weight ecosystem right now is hitting a point where proprietary, closed-source APIs are losing their leverage on compute intelligence. When you have DeepSeek V4 dropping native MXFP4 mixtures of experts with massive context capabilities alongside Liquid's non_transformer breakthroughs and impending heavyweights from Mistral and Moonshot, the raw computational cost of intelligence is plummeting to near zero, scary for sam altman, yippee for us But as the base models become insanely capable commodity infrastructure, the talk inside enterprise engineering teams is shifting . The real problem now isn't "how smart is the open-weight model we hosted on our cluster? problem is "how do we stop this raw,autonomous intelligence from introducing big failure modes into our core systems?" The smarter these open_weights get at multi-step reasoning, the more unpredictable their execution paths become when granted full access to data environments. This infrastructure bottleneck is exactly why the elite engineers are separating the raw model weights from the governance layer. Regulated teams are no longer letting agents talk directly to inner databases or orchestration loops; instead, they are forcing all open-weight model traffic through enterprise grade control frameworks like Palantir Foundry or the Lyzr Control Plane. but all in all good week ahead, i wonder if any of these models will ever reach the short lived popularity of deep seek, i still remember how crazy everyone was when they heard about deepseeks training cost submitted by /u/iSyN707 [link] [comments]

Source: r/LocalLLaMA | 2026-07-14

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