SourceCodeplz (@SourceCodeplz) header
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Full-stack engineer. What does it cost to live in the EU? https://teapawt.org/t.co/pgvIA34S2N Looking for European Podcasts Charts? https://teapawt.org/t.co/Qg2gkBLUwV

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Joined October 2022
What a podium and season for young Kimi! That lift at the end brought me little tears 🥲
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a grounded take on the AA (v. 5) index
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Replying to @zkstx
i was too excited and it was just the first test, i admit. i've ran it again now, with full context (262k), same prompt, it thought for 4500 tokens. here is the new result: sourcecodeplz.github.io/mode…
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the new artificial analysis intel index (5) is brutal for open-weights models Claude Opus 5.5 (medium) scores 48 with just 43M tokens. DeepSeek v4.1-flash (max) scores 32 with 150M tokens teapawt.org/ArtificialAnlys/status…
Announcing Artificial Analysis Intelligence Index v5, featuring 2 new benchmarks and 3 upgrades. For the first time, the majority of the Index is built on private datasets The Artificial Analysis Intelligence Index is our composite measure of model capabilities across tasks reflecting real-world usage today. v5 is our biggest upgrade since v4 launched in January. With v5, 60% of the Index is now based on evaluations with private test sets or held-out answers. Alongside Intelligence Index v5, we’re launching the Artificial Analysis Progress Index v1, which tracks model capability over time on one continuous scale. New to the Intelligence Index: ➤ FrontierCode 2.0: Cognition's newly-launched private benchmark of real-world coding tasks, graded on whether a repository maintainer would merge the agent's change ➤ Terminal-Bench-Science: 70 agentic scientific research tasks, run in a terminal environment Upgraded: ➤ HLE-Diamond (replacing Humanity's Last Exam): a refined 1,000-question version of Humanity's Last Exam, split evenly between reasoning and knowledge questions ➤ AA-Omniscience v1.1: An updated dataset with saturated and public set questions removed, new questions added, and ambiguous or erroneous questions revised ➤ CritPt v2: a private, 40-question hard subset of CritPt v2, revised by the CritPt authors and run with a code-execution tool Staying in the Index: AA-Briefcase, AutomationBench-AA, GDP.pdf and Terminal-Bench 4.0 Removed from the Index: GDPval-AA v2.1, SciCode, and AA-LCR v1.1 Key results: ➤ Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra (max, 57) and GPT-6.1 Sol (max, 55): Anthropic and OpenAI hold the top five models. Gemini 4 Argon (high) is next at 50 ➤ The open weights gap widens from 3 points to 12: Kimi K3.1 Pro (weights not yet released) is the top open weights model at 46. Among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead at 32 - 26 points behind the leader and below Claude Haiku 5.5 (max, 36) ➤ Cost per task varies by more than 13x among the leading models: of the 10 highest-scoring models shown, GPT-6.1 Terra (max) is the cheapest at $0.96 per Intelligence Index task and Claude Fable 5.1 (max) the most expensive at $13.04
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asked it for a story about a donkey in a nice html page
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LFM3 1.7b running at full context (262k) on 6gb vram card. 91 tok/sec speed
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i gave it this prompt and the result.. is not great but is error free and working: "write a one page html page with a story of a horse in a barn and make it a nice page with effects" sourcecodeplz.github.io/mode…
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going to Settings > Runtime > Check for updates (runtime updates channel) fixed it
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seems the GGUF from @liquidai is not working in @lmstudio latest version (0.4.26) windows 11
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