Anthropic has a $5B, 4-yr plan to overtake OpenAI. Their own pitch deck says they're building a model called “Claude-Next” that's 10x more capable than ChatGPT. Anthropic was founded by OpenAI's former VP of Research, and Google owns a 10% stake in them. Can they do it?
LLMS
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26 AI Tools You Should Know About in 2026
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On another note, ChatGPT is just starting! Thousands of AI tools were released in March. Here are 26 AI tools you should know about:
#AI #OpenAIChatGPT #OpenAI #ML #IoT #Technology #womenintech #CodeNewbies #BlackTechTwitter -
ChatGPT: Applications, Advantages, Limitations and Future in NLP
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Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing
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Government AI Forum: LLMs and Generation in Government
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Join us for our first in-person #GovFuture Forum event Thurs Apr 20, taking place 9-11am at GMU Fuse in Arlington, VA. 3 awesome #demos, #hottopic panel on "LLMs and AI Generation in Government: Is it Time?" Register at: https://
govfuture.com/CLNzYxMjR8NQ?u
tm_source=dlvr.it&utm_medium=twitter
… You won't regret coming…it's… -
Testing AI Performance: Familiarity vs. Novel Questions
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The system is out there. You can just interact with it and test the hypothesis by yourself! You see an immediate correlation between question familiarity & performance, and a fast break down of performance as the questions become more novel — independent of question complexity!
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GPT models fail at genuine generalization on novel problems
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Exactly. Except with the opposite conclusion. Every study so far that tries to test GPT-N for actual generalization has found that it scores no better than random on genuinely new problems — brand new coding problems in particular. This is why it can't do ARC either.
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Create Custom ChatGPT Models on Your Own Data
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Create a custom ChatGPT on your data. Check us out: @abacusai
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YAML’s Advantages for Prompt Engineering: Token Efficiency and Parsing
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I used to dislike YAML (the reserved-word gotchas are real) but it’s an attractive choice for prompt engineering — more token-efficient than JSON, supports escape-free quoting (3.5 can forget escapes), and stream-parseable:
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LLM Chat UI as Streamlined Notebook UI with LLM Kernel
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100% — if you squint a bit llm chat ui is just streamlined notebook ui where the kernel is an llm
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Language Models Trained on Vastly More Data Than Humans Encounter
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A person is exposed to on the order of a billion words over their entire life through speech and reading. Modern large language models are fed hundreds of times that in the weeks of their training.