OpenClaw was such a weird phase in LLMs Glad that thing disappeared as fast as it took the spotlight
LLMS
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Feedback sought on latest Gemini model
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why is the model bad? Would love feedback! It’s the most capable Gemini model we have ever shipped
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Gemini’s focus on real-world use cases
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we are deeply focused on real world use cases for Gemini, its also exciting to see so many benchmarks get better at capturing these use cases
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Introducing LoRAs for Krea 2: Powerful AI Fine-Tuning System
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introducing LoRAs for Krea 2 (beta).
— Krea (@krea_ai) 21 mai 2026
our most powerful fine-tuning system to date; now you can train Krea 2 on a your own specific style, object, or character with incredible precision.
learn how it works 👇 pic.twitter.com/pbsuw43pMvintroducing LoRAs for Krea 2 (beta). our most powerful fine-tuning system to date; now you can train Krea 2 on a your own specific style, object, or character with incredible precision. learn how it works
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Incumbent Weakness Mapper: Competitor Analysis Prompt
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Prompt 3: "The Incumbent Weakness Mapper" "Take the top 5 pain points from your research. For each one, do deep research on every existing
product that claims to solve it. For each competitor, I need: their pricing model, the
most common user complaints, specific feature gaps -
Prompt: Pain Point Mining for AI/Niche Tools
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Prompt 2: "The Pain Point Miner" "Based on the [NICHE] projects you just found, I need
you to do deep research on the complaints and unmet
needs people are expressing around these tools and
this space in general. Search Reddit threads, X posts, Product Hunt comment
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Build Trend Scanner: Research Recent AI Products
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Prompt 1: "The Build Trend Scanner" "I'm interested in [YOUR NICHE, e.g. productivity tools,
developer tools, AI wrappers, personal finance]. Do deep research on what solo developers and indie
builders have shipped in this space in the last 90 days. Search Product Hunt -
AI Agent Architecture: Three-Layer Pattern Across Models
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Harness engineering finally got its 100-page academic survey paper from UIUC, Meta, and Stanford. Claude Code, Codex, and SWE-agent share the same 3-layer architecture under the hood: Interface · Mechanisms · Scaling Which layer is yours missing?
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Gemini 3.5 Flash Tops APEX-Agents-AA Benchmark
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Gemini 3.5 Flash ranks first on the APEX-Agents-AA benchmark, outperforming significantly larger models.
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Qwen 3.7 Max achieves 10x speedup in autonomous 35-hour run
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Alibaba released Qwen 3.7 max. Benchmarks incredible. Their new model ran autonomously for 35 hours, made 1,158 tool calls, and achieved a 10x speedup – on a single attention kernel. This isn't "AI improving itself across the board." It's a model grinding through