📰 Reddit r/MachineLearning
Language barrier, shadier terms and jargon fog [D]
https://www.reddit.com/r/MachineLearning/comments/1wy9cty/language_barrier_shadier_terms_and_jargon_fog_d/

📰 Reddit r/MachineLearning
Language barrier, shadier terms and jargon fog [D]
https://www.reddit.com/r/MachineLearning/comments/1wy9cty/language_barrier_shadier_terms_and_jargon_fog_d/
📰 Reddit r/MachineLearning
I have trained a model to predict my blood sugar (Part 2) [P]
https://www.reddit.com/r/MachineLearning/comments/1wy99gd/i_have_trained_a_model_to_predict_my_blood_sugar/
📰 Reddit r/LocalLLaMA
Qwen3.8-27b appreciation moment
https://www.reddit.com/r/LocalLLaMA/comments/1wybak7/qwen3827b_appreciation_moment/
📰 Reddit r/LocalLLaMA
Qwen3.8-Flash-Next (125B) on a single Strix Halo mini PC: 44-59 tok/s with speculative decoding, ~1,400 tok/s prefill, engine is open
https://www.reddit.com/r/LocalLLaMA/comments/1wybesy/qwen38flashnext_125b_on_a_single_strix_halo_mini/
📰 Reddit r/LocalLLaMA
Make no mistake, selling 64 GB DGX Spark variants at the same cost as the original 128 GB is straight drug dealer behavior.
https://www.reddit.com/r/LocalLLaMA/comments/1wyea30/make_no_mistake_selling_64_gb_dgx_spark_variants/
📰 Reddit r/LocalLLaMA
How is it possible that qwen 27b is so good? When GPT 4o had a trillion parameters and was worse?
https://www.reddit.com/r/LocalLLaMA/comments/1wyefkt/how_is_it_possible_that_qwen_27b_is_so_good_when/
📰 Together AI
Together Link: open models in the harness you already use. Start with one command today.
https://www.together.ai/blog/together-link-frontier-quality-open-models-in-the-harness-you-already-use
Building InferProbe so ML engineers can test endpoints locally without worrying about cost, privacy leaks or slow feedback loops. Real perturbations, honest answers.
What would make your testing workflow feel truly unstoppable?
Testing ML endpoints shouldn’t come with fear of surprise bills, data leaks, or slow responses. InferProbe keeps everything local, private, and instant.
What’s your biggest worry when testing models right now?
The AI Race Is Becoming a Race to Turn Capability Into Power
From frontier models to ASML and cloud attacks, this week's developments show why possessing AI assets is not the same as converting them into strategic power.
#hackernews #ml #news
📰 Reddit r/LocalLLaMA
MoE SSD streaming on a 64 GB Mac mini: GPU still waits 27% of decode on experts. Ideas?
https://www.reddit.com/r/LocalLLaMA/comments/1wy5fma/moe_ssd_streaming_on_a_64_gb_mac_mini_gpu_still/
📰 Reddit r/LocalLLaMA
I built an open-source real-time Japanese anime subtitle & translation engine powered by Whisper-Large-v3 + Groq / DeepSeek
https://www.reddit.com/r/LocalLLaMA/comments/1wy9wt5/i_built_an_opensource_realtime_japanese_anime/
📰 Reddit r/LocalLLaMA
M5 Ultra 256 running GLM 5.3 Flash 68.8 tok/s
https://www.reddit.com/r/LocalLLaMA/comments/1wy8k3m/m5_ultra_256_running_glm_53_flash_688_toks/
Thank you to everyone who visited our booth at the South Side Science Festival this weekend! TTIC faculty and students presented interactive demos in #robotics, #speech, #ML, and more. Community engagement like this is at the heart of what we do: buff.ly/YCVCBpx
A new stereo image plugin from our friends at TEMi Audio!...
#stereo #audio #audioengineer #audioengineering #plugins #audiotech #musictech #homestudio #mixing #mastering #proaudio #studio #DES #unmix #demix #stems #ML #upmix #mono #music #remix #DAW #producer
Federated learning's pitch: fine-tune locally, share only tiny LoRA gradients. MineGrad (arXiv 2608.01521) breaks it - a malicious server hides extraction in the pretrained model and reads your training data out of them. The server is the attack surface. #privacy #federatedlearning #ML
University of Chicago | Professorship on Applied Artificial Intelligence
Applications open on a rolling basis
#Job #Faculty #Professorship #AI #ML ./14
Our 2nd TALES school, hackathon style! 🚀 At Petnica Science Center, Serbia, our DCs built ML models to hunt anomalies in 230k+ ZTF AGN light curves and measure time delays in lensed quasars, then sharpened their science communication skills.
📰 Reddit r/MachineLearning
The Principles of Diffusion Models by Lai et al.: thoughts on the monograph [D]
https://www.reddit.com/r/MachineLearning/comments/1wwtpg6/the_principles_of_diffusion_models_by_lai_et_al/