No you don't understand I use Claude Code CLI not Claude desktop app
LLMS
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LLMs as Philosophical Zombies: Consciousness Debate
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A lot of people are arguing that LLMs are philosophical zombies
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Claude expert reveals common mistakes costing 14% quality in your workflow
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🚨 I just watched @bcherny (the guy who built Claude Code at Anthropic) explain why most of us are using Claude completely wrong.
— Charly Wargnier (@DataChaz) 23 mai 2026
In this 1h20 podcast, he exposes the massive gaps in our workflows:
> How ignoring CLAUDE.md costs you 14% of your baseline quality
> Hidden… https://t.co/d0lbqbHaQc pic.twitter.com/Ocp6mV7rnHI just watched @bcherny (the guy who built Claude Code at Anthropic) explain why most of us are using Claude completely wrong. In this 1h20 podcast, he exposes the massive gaps in our workflows: > How ignoring CLAUDE.md costs you 14% of your baseline quality
> Hidden -
Deepseek V4 Pro 75% Cheaper: New King of Cost/Token
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Do you realize what's happening here? DEEPSEEK V4 PRO IS NOW 75% CHEAPER FOREVER The new king of cost/token. > Input: $0.435
> Output: $0.87
> Cached: $0.0036 (almost free!) How? V4 paper shows or SemiAnalysis: it takes just 27% compute & 10% cache compared to v3.2 ↓ -
Tool search saves massive tokens for many plugins or MCPs
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Yes, we added tool search which saves massive amounts of tokens, esp. if you have many plugins or MCPs.
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I²B-LPO: Branching AI Reasoning at Confusion Points
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Are your AI models stuck in a rut, repeating the same narrow reasoning? Alibaba's DAMO Academy and partners (USTC, SJTU, Zhejiang, Northeastern) introduce I²B-LPO. Instead of randomly tweaking words, it branches reasoning at key confusion points and uses an information
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Anthropic rises fast while OpenAI loses lead and reputation
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some yes some no. anthropic seems to be more efficient, and is rising fast; openAi has lost their lead and has developed a reputation problem.
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Free online book covers LLM concepts for all backgrounds
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UNBELIEVABLE RESOURCE The bible for understanding LLMs is NOW AVAILABLE online to read (FOR FREE) Covers all the concepts below, no experience needed and anyone from any background can understand it – Tokens / Tokenizers
– Transformers
– Attention
– KV Cache
– Prefill vs -
LLM Ideation: Coherence vs. Availability Trade-off
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The key distinction here is worth sitting with: Standard LLM ideation can be coherent but available. Random recombination can be unavailable but incoherent. The target is the rare quadrant: coherent but unavailable. That is where this paper gets interesting.
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Paper highlights rare ‘coherent but unavailable’ LLM outputs
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The key distinction here is worth sitting with: Standard LLM ideation can be coherent but available. Random recombination can be unavailable but incoherent. The target is the rare quadrant: coherent but unavailable. That is where this paper gets interesting.