Experts sound alarm after ChatGPT Health fails to recognise medical emergencies
ChatGPT Health failed to recognize medical emergencies, advising patients to wait for appointments in 51.6% of urgent cases, raising concerns about potential harm and fatalities.
Nano Banana 2: Google's latest AI image generation model
Nano Banana 2 merges the advanced capabilities of Nano Banana Pro with the speed of Gemini Flash, enabling rapid image generation and editing across Google products.
OpenAI raises $110B on $730B pre-money valuation
OpenAI has secured $110 billion in private funding, marking a historic investment round led by $50 billion from Amazon and $30 billion each from Nvidia and SoftBank, against a $730 billion pre-money valuation.
I rendered 1,418 confusables over 230 fonts. Most aren't confusable to the eye
96.5% of Unicode confusable pairs score low on visual similarity, indicating that most pairs are not easily confused visually, yet 82 pairs are pixel-identical in at least one font, posing a potential security risk.
Can you reverse engineer our neural network?
Jane Street challenges enthusiasts to reverse engineer their neural network, inviting a deeper understanding of its architecture and functionality.
We gave terabytes of CI logs to an LLM
LLMs excel at SQL by autonomously generating queries to analyze 1.5 billion CI log lines weekly, enabling rapid identification of issues, such as tracing flaky tests back to dependency changes in mere seconds.
Parakeet.cpp – Parakeet ASR inference in pure C++ with Metal GPU acceleration
Fast speech recognition is achieved with NVIDIA's Parakeet models in pure C++, boasting ~27ms encoder inference on Apple Silicon GPUs, which is 96x faster than CPU for 10s audio using the 110M model.
Lidar waveforms are worth 40x128x33 words
Lidar's potential is enhanced through a learned DSP that processes full waveforms with a transformer architecture, improving point cloud fidelity by leveraging adjacent waveform features.
Implementing Better Pytorch Schedulers
Enhanced flexibility: The new scheduling suite for PyTorch allows for dynamic adjustments of any optimizer hyperparameter (e.g., LR, momentum, betas) through user-defined functions, addressing the limitations of existing schedulers that only modify learning rates.
PerpetualBooster v1.9.0 - GBM with no hyperparameter tuning, now with built-in causal ML, drift detection, and conformal prediction
PerpetualBooster v1.9.0 introduces built-in causal ML, drift detection, and conformal prediction, enhancing its gradient boosting capabilities without hyperparameter tuning, using a single budget parameter for model fitting.
Evaluating the inference efficiency of Sparse+Linear Hybrid Architectures (MiniCPM-SALA)
MiniCPM-SALA (Sparse+Linear) is being benchmarked in the SOAR 2026 performance sprint by OpenBMB and NVIDIA, focusing on optimizing sparse operator fusion and KV-cache efficiency for ultra-long context.
ASURA: Recursive LMs done right
Recursive LMs (RLMs) can achieve significant performance improvements over traditional models by employing simple techniques, challenging the notion that they are ineffective in language tasks.
Lovable's platform exposed over 18,000 user records due to critical vulnerabilities in an app, highlighting the risks of relying on AI-generated code without proper security measures.
OpenAI and Amazon announce strategic partnership
Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock