BREAKING: Man decides to keep box of random cables he’s had since 2002 for another year.

Die HITS-Kommunikation sucht einen Senior #Communications #Manager mit Schwerpunkt externe Kommunikation. Erfahrene Wissenschaftskommunikator*innen mit Interesse für wissenschaftliche Themen von Molekularbiologie bis Astrophysik bewerben sich bitte hier: ow.ly/9tvW50Qky2q

Happy New Year. Plazmapunk AdaLab #HappyNewYear24 #aivideo #AIArtistCommunity (audio)

Ivan Herreros at #CAIML: convex optimization and text-embeddings CologneAIML #AI #ML #Ki

Making a video with Plazmapunk is fun. I never know what I will get to see until the video is generated. Music made with @mytracksy

🔬🎙️ User Research and Interactive #recsys with Martijn Willemsen from JADS Episode #21 of #recsperts is out! We discuss how users exert control over #recommendations, decision #psychology and user-centric evaluation - go check it out: open.spotify.com/episode/5w5Abq…

9 out of 10 RAG applications would be better off by establishing a simple baseline before introducing text embeddings.

We are excited to share now the code for xLSTM! 🚀 Happy to hear about your first experiments with it! 🧪 github.com/nx-ai/xlstm

the delorean is a conference room THE DELOREAN IS A CONFERENCE ROOM

𝐁𝐌𝟒𝟐 - 𝐓𝐡𝐞 𝐌𝐢𝐬𝐬𝐢𝐧𝐠 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤 Qdrant released this week an interesting new approach that claims to replace BM25/lexical search. They just sadly forgot to do proper benchmarking. As it turns out: BM42 is way worse than BM25.

How Nobel Prizes will be given in the future 😑 #Physics #NobelPrize #NobelPrize2024 #scicomm

I don't think people really appreciate how simple ARC-AGI-1 was, and what solving it really means. It was designed as the simplest, most basic assessment of fluid intelligence possible. Failure to pass signifies a near-total inability to adapt or problem-solve in unfamiliar

The data science revolution is getting closer. TabPFN v2 is published in Nature: nature.com/articles/s4158… On tabular classification with up to 10k data points & 500 features, in 2.8s TabPFN on average outperforms all other methods, even when tuning them for up to 4 hours🧵1/19

x.com/i/article/1928…

Bro how was the show Silicon Valley so consistently 10 years ahead of its time 🤣

After ~6 years of building these types of architectures (starting with BERT, eg see Baleen), I think calling these multi-agent systems is a distraction. This is just software. Happens to be AI software. It doesn’t seem so complicated once you internalize it’s just a program.

Ever wondered how linear RNNs like #mLSTM (#xLSTM) or #Mamba can be extended to multiple dimensions? Check out "pLSTM: parallelizable Linear Source Transition Mark networks". #pLSTM works on sequences, images, (directed acyclic) graphs. Paper link: arxiv.org/abs/2506.11997

Thanks for sharing! 🙂Here another abstract for the visual people. 😀

This is really BAD news of LLM's coding skill. ☹️ The best Frontier LLM models achieve 0% on hard real-life Programming Contest problems, domains where expert humans still excel. LiveCodeBench Pro, a benchmark composed of problems from Codeforces, ICPC, and IOI (“International