We’re excited to work alongside @WalrusProtocol, the global data layer, to build the modular infrastructure for the next wave of AI-driven systems.
Together, we’re making intelligence open, composable, and ready to scale.
Did @SakanaAILabs's AI plagiariaze my 2015 paper "Regularizing RNNs by Stabilizing Activations" - Krueger and Memisevic?
And what would constitute plagiarism here?
A Nature News Feature by Ananya investigates... 🧵
@jeffclune@hardmaru
GLM-4.5 is now live on TensorBlock Forge, an open-source middleware service that simplifies AI model provider management.
Get your Z.ai API key here:
docs.z.ai/guides/overvie…
GLM-4.5 is now live on TensorBlock Forge, an open-source middleware service that simplifies AI model provider management.
Get your Z.ai API key here:
docs.z.ai/guides/overvie…
I think we should stop using the word decentralization
Decentralization is not a goal
Censorship resistance is a goal
Composability is a goal
Eliminating platform risk is a goal
Normal people don't know what decentralization is, and they don't care about it.
We @a16z just launched the third batch of Open Source AI Grants (cc @mbornstein) 🎉
This round includes projects focused on LLM evaluation, novel reasoning tests, infrastructure, and experimental research at the edge of capability and cognition:
• SGLang: High-performance LLM…
“Plaid for memory” is a very good concept. Hard to pull off, but memory portability and ways of providing new AI systems instant context will be extremely useful in the future. Lots of game theory here that make it hard, but would be great for the ecosystem to support.
“Plaid for memory” is a very good concept. Hard to pull off, but memory portability and ways of providing new AI systems instant context will be extremely useful in the future. Lots of game theory here that make it hard, but would be great for the ecosystem to support.
I like OpenAI’s mission of 'ensure that artificial general intelligence benefits all of humanity”, and I’d like to stop them from completely gutting it.
I’ve signed on to a new letter to @AGRobBonta & @DE_DOJ asking them to halt the restructuring. (1/2)
Llama 4 Intelligence Index Update: We have now replicated Meta’s claimed values for MMLU Pro and GPQA Diamond, pushing our Intelligence Index scores for both Scout and Maverick higher
Key update details:
➤ We noted in our first post 48 hours ago that we noticed discrepancies…
Introducing our first set of Llama 4 models!
We’ve been hard at work doing a complete re-design of the Llama series. I’m so excited to share it with the world today and mark another major milestone for the Llama herd as we release the *first* open source models in the Llama 4…
I came to realize that, for studying intelligence, the only "inductive bias" that one is allowed to assume is that the data worth sensing and learning has extremely low intrinsic dimension. This can be precisely verified and quantified by the data's volume, entropy, or coding…
🇺🇸 NEW: The SEC confirms that Bitcoin and Proof of Work mining are not considered securities under US law.
This decision provides long awaited clarity for miners.
Llama has now been downloaded over 1 Billion times!
A note to:
The researchers at Meta training these models — and those building on the research in other labs.
The developers and enthusiasts on r/LocalLlama, @huggingface and more; experimenting with new models and creating…
Introducing: ⚡️OlympicCoder⚡️
Beats Claude 3.7 and is close to o1-mini/R1 on olympiad level coding with just 7B parameters! Let that sink in!
Read more about its training dataset, the new IOI benchmark, and more in Open-R1 progress report #3.
QwQ-32B (@Alibaba_Qwen ) model sharding between M1 MacBook Pro (16GB) + RTX 4060 Ti.
Enabling efficient inference through model quantization and cross-device parallel computing.
Demonstrating production-ready performance on consumer hardware.
Technical benchmarks coming soon.
Randomized trial AI for legal work finds Reasoning models are a big deal:
Law students using o1-preview had the quality of their work on most tasks increase (up to 28%) & time savings of 12-28%.
There were a few hallucinations, but a RAG-based AI reduced those to human level.
35 Followers 244 Followingonly private elite here!! I will mainly talk about crypto market, price action analysis etc. ONLY FOR A FEW PEOPLE MAIN ACCOUNT @EthereanVibin
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