Whoever solves the problem of distribution shift first wins.
LLMS
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Neurosymbolic AI Will Outperform Pure LLMs in AI Race
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Neurosymbolic AI (rather than pure LLMs) will win the AI race.
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Run Codex Inside OpenClaw With Plugin Harness
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Run codex inside OpenClaw! https://
docs.openclaw.ai/plugins/codex-
harness
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Codex Ships GPT-5.5 Browser Control Sheets Docs and More
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Codex for everything. Over the last 2 weeks, we shipped a pretty big set of updates: GPT-5.5, browser control, Sheets & Slides, Docs & PDFs, OS-wide dictation, auto-review mode, /pets, and a .tex plugin. The whole app also got better: dynamic UI for the task at hand, ~20%
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Open Source AI Models Struggle to Generate Revenue
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Open Source's big problem. Last night I went to a Y Combinator party in San Francisco and met an entrepreneur who is making a top Open Source AI model. He told me it is very hard to make money in open source. Yeah, it is cool being popular, he told me, but figuring out how to
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Contextual Agentic Memory Is Just Lookup Not True Consolidation
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// Contextual Agentic Memory is a Memo, not True Memory // Most agent memory today isn't memory. They are more like memos. A new paper argues that vector stores, RAG buffers, and scratchpads implement lookup, not consolidation. Agents accumulate notes indefinitely without ever
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AI Model Development: Cost vs. Intelligence vs. Speed Trade-offs
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i keep thinking i want the models to be cheaper/faster more than i want them to be smarter but it seems that just being smarter is still the most important thing
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Using LLMs for Data-Driven Social Media Content Strategy
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Oui, l’automatisation Insta classique (spam, mass posting, bots) est éclatée depuis des années à cause des bans et restric.
Le mec n’utilise pas Claude pour spammer comme en 2015. Il l’utilise pour : analyser des centaines de comptes, détecter ce qui performe, générer et -
Grok xhigh Fast Mode Praised as Really Good
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5.5 xhigh in fast mode is really good i think i got psyoped by twitter on medium for a bit
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Two-Layer Gemini Agent Architecture for Insurance Claims
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Most of the times the model takes care of it as first layer. https://
ai.google.dev/gemini-api/doc
s/models/gemini-3.1-flash-live-preview
… Then the second layer is flash extraction for conflict resolution and policy gates. https://
github.com/Shubhamsaboo/a
wesome-llm-apps/blob/main/voice_ai_agents/insurance_claim_live_agent_team/README.md
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