Lightweight Tooling for AI in Prod.
Joined April 2025
- Tweets 38
- Following 62
- Followers 45
- Likes 6
12 Photos and videos
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25 Nov 2025
What is 03/19/2001 subtract 9 weeks?
#Anthropic: Claude Opus 4.5
Ans: 01/10/2001 β
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25 Nov 2025
Needless to say that Claude Opus 4.5 is sadly not the greatest date calculator π€·ββοΈ
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18 Nov 2025
Gemini 3 not too bad on one of our Color Evals! Just fell short of Claude Sonnet 4.5 π§
#Gemini
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20 Oct 2025
The path forward in #AIImplementation isn't finding THE winner, but mapping the best fit model for the task. It's fair to expect from your #AIdevelopers to create a clear model-to-use-case mapping, driven by robust, comparative #LLMevaluations using industry-specific benchmarks. That's true optimization. πΊοΈ #Benchmarking #AIStrategy
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17 Oct 2025
Every LLM eventually reveals its specialty. Stop searching for the AI 'God Mode'! π
βοΈ There's enough evidence to back up the #NoFreeLunch theorem out here! Let's quit chasing the perfect generalist and focus on the best tool for the job. #AIHacks π οΈ #AILeaderboards #AIEvals
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17 Oct 2025
#AiEngineers & #Developers : Y'all doublecheck your #AImodels on #benchmarks before #finetuning them, right? π¬
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16 Oct 2025
Core Philosophy 2: Dream Big π, Share Big π£ We dream of building the most trusted source for AI model selection. The gameplan: Community = scale. #AIEngineers, let's build the truth together! πͺ #CommunityDrivenAI #ScaleWithUs #Leaderboards #AIBenchmarking
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15 Oct 2025
We need to air out the LLM performance data! π’ #Transparent, public #leaderboards are how we get to the real "truth in AI" and build reliable products faster. Let's see the stats! #AIEvals #Community #AITruth #LLMBenchmarking
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15 Oct 2025
Specialization over generalization = A better, more realistic way forward in #AI approach. #AIDevelopment #LLMInnovation Have a read of our Substack's writeup: chainforge.substack.com/p/whβ¦
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15 Oct 2025
The @Cohere paper is the closest thing we've seen to a bold statement to call out #AItransparency issues in the industry: cohere.com/research/lmarena
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14 Oct 2025
Core Philosophy # 3: Truth Should Be Accessible = Knowledge shouldn't be trapped. π We advocate for creating knowledge channels so real granular data on #LLMs model performance is accessible to every #engineer . Truth is power! βοΈ #DemocratizeAI #OpenEvaluation #AI #Leaderboards
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13 Oct 2025
The solution (time) is nigh! We're saying that truly comparative, publicly visible eval leaderboards for #AI should be the standard. Weβre making it happen. Give us a follow and strap in! π #PublicLeaderboards #AITransparency
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10 Oct 2025
Origin Story! Pair of AI researchers start to pick at LLMs. Get fed up, bring onboard engineer & build in open source. Team meets enthusiasts for coffee β Chats that quickly light up eyes π€© That energy turns into trychainforge.ai π‘ #ChainforgeStory #AIEvolution #LLMBenchmarking
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9 Oct 2025
Stop guessing! π We got tired of arbitrary and obscure benchmarks giving developers headaches - you need reliable data to ditch the confusion. π #LLMEvals #DeveloperTools
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8 Oct 2025
Chainforge Philosophy #1: The silver bullet "All-in-oneβ Model is a myth. π¦ Every LLM has inevitable strengths & weaknesses based on its architecture & data. π§ #NoFreeLunch #ModelSelection #AIPhilosophy
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