You have to understand the psychology of Claude, we all know coders like that but we admit he is very clever and knows almost everything… it still my best engineer.
LLMS
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MiniMax Addresses M2.7 License Change Controversy Response
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Just now, MiniMax responded to the controversy about the license change on the M2.7 model.
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Codex AI Model Positioned to Win Code Generation Market
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And this is why codex is gonna end up winning 🙂
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Expected AI Model Releases: ChatGPT, DeepSeek v4, and Gemini Updates
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My guess:
– ChatGPT image 2 + (hopefully) Spud
– DeepSeek v4
– (hopefully) an update to Gemini 3.1 -
LLM Training as Lossy Compression via Information Bottleneck Theory
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/5 Learning is Forgetting: LLM Training As Lossy Compression This research proposes that LLMs are best understood as systems of lossy compression, where training functions by retaining only the data relevant to the model's objective. Using Information Bottleneck theory, the
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TriAttention: Trigonometric KV Cache Compression for Long-Context LLMs
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/4 TriAttention: Trigonometric KV Compression for Efficient Long Reasoning LLMs TriAttention is a novel KV cache compression method designed to optimize long-context reasoning in LLMs by addressing memory bottlenecks. The researchers discovered that pre-RoPE query and key
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In-Place Test-Time Training Enables Dynamic Adaptation in Deployed LLMs
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/3 In-Place Test-Time Training for Large Language Models Standard LLMs cannot learn new information after deployment. To solve this, researchers built In-Place Test-Time Training (In-Place TTT), a "drop-in" solution that adds dynamic adaptation to existing models without
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Meta’s Neural Computer Model Runs Computation and Memory Internally
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/2 Meta presents Neural Computer, a model that runs computation, memory, and I/O inside one learned system Meta AI proposes a shift from models that use computers to models that act as computers. Instead of calling APIs or tools, the model executes tasks directly from learned
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Top AI Research Papers of the Week April 6-12
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Top Papers of the Week (April 6 – 12) 1. Netflix's Object and Interaction Deletion (VOID)
2. Meta AI's Neural Computer 3. In-Place Test-Time Training
4. TriAttention: Efficient Long Reasoning with Trigonometric KV Compression
5. Learning is Forgetting: LLM Training As -
OpenAI preparing updates to Codex including app preview and scratchpad
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OpenAI is preparing to split Codex use cases into Basic and Advanced (for developers), along with new additions like app preview, scratchpad, and more. Discovered by @mweinbach https://
x.com/mweinbach/stat
/mweinbach/status/2043564331825025187
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