MiniMax M2.7 explained..
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MiniMax just released their newest checkpoint M2.7 to the public in the midst of compute constrained as AI race between China and US continues on. How does OpenClaw use cases play into the rising demand in lower throughput and lower TPS market and how will the rest of the AI industry pan out going forward?
M2.7 only took 34 days in iteration which goes to show how their ML engineering pipeline improvement has improved and what we might expect to see in the future. Their self-evolving and self-reflection and improvements in agent harness is also interesting to see.
#MiniMax #ai #llm #openclaw
Chapters
00:00 Intro
00:18 Compute Constrained
02:10 OpenClaw
04:07 Self-Evolution
05:30 Release Cycle
05:57 Architecture
07:30 Benchmark
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Chapters (7)
Intro
0:18
Compute Constrained
2:10
OpenClaw
4:07
Self-Evolution
5:30
Release Cycle
5:57
Architecture
7:30
Benchmark
🎓
Tutor Explanation
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