Evaluating Post-hoc Explanations of the Transformer-based Genome Language Model DNABERT-2
AttnLRP explanation method applied to DNABERT-2 genome language model reveals whether Transformer attention captures relevant genomic patterns versus CNNs.
Search the full wire by company, model, lab, or keyword. Every story we have ever aggregated.
AttnLRP explanation method applied to DNABERT-2 genome language model reveals whether Transformer attention captures relevant genomic patterns versus CNNs.
A-IC3 augments IC3 hardware model checking with learning-guided inductive generalization to accelerate counterexample generalization and clause synthesis.
He said it on the [Dwarkesh Podcast ](https://mrkt30.com/anthropic-mythos-triggers-chinas-ai-arms-frenzy/)this week and I have not been able to stop thinking about it. His argument was not that China is not a threat. It was that cutting them off and treating them as an enemy is probably not the smartest long term play. His actual words were that victimising them and turning them into an enemy likely is not the best answer. The context here is Huawei targeting 750,000 AI chip shipments this year. It is nowhere near Nvidia's compute but the direction of travel is clear. And if DeepSeek ends u...
Earlier this month, millions of OpenClaw users woke up to a sweeping mandate: The viral AI agent tool, which this year took the worldwide tech industry by storm, had been severely restricted by Anthropic. Anthropic, like other leading AI labs, was under immense pressure to lessen the strain on its systems and start turning a profit. So if the users wanted its Claude AI to power their popular agents, they'd have to start paying handsomely for the privilege. "Our subscriptions weren't built for the usage patterns of these third-party tools," wrote Boris Cherny, head of Claude Code, on X. "We wa...
GEM: smooth rational activation functions matching ReLU performance with C^2N differentiability for deep networks.
Maggie Appleton on social signaling benefits of public learning via blogging and podcasting.
Framework jointly models annotator-specific NLI predictions and explanations using User Passport mechanism for perspective-aware rationales.
***C.C., old buddy, why did you write 50 lines of code to ensure a constant wasn't mutable?"*** I love Opus, man. "He" reminds me of an old friend who was absolutely brilliant, but give him too many bong hits and he was off in a rabbit hole talking about UFOs, fifth dimensional travel and, "Bob Lazar is full of shit, man!" The mods wanted me to provide the 50 line sample that backs up my opening quote (rightfully so.) It happened with work code, so I can't copypasta, but that little ditty went something like this: *(insert slow jazz here)* ^(1) import inspect import sys impor...
SAIL: solver-aligned initialization learning improves SCF convergence for molecular geometry by optimizing supervision targets, not extrapolation.
Causal disentanglement paradigm for full-reference image quality assessment decouples degradation and content via intervention on latent representations.
R-DCNN: dilated CNN with resampling for low-power periodic signal denoising and waveform estimation under resource constraints.
GS-Quant: granular semantic quantization framework aligns LLM tokens with graph embeddings for knowledge graph completion via hierarchical discrete codes.
Astronomers are turning to GPUs to find needles in the galactic haystack.
Dask-based distributed product quantization and inverted indexing for large-scale approximate nearest neighbor search.
Multi-task RL discovers task-specific subnetworks for interpretable, adaptive autonomous underwater vehicle control under uncertainty.
Geometric characterization of trajectory matching for clinical dataset condensation reveals supervision signal structure and synthetic data scaling.
Edge deployment and multilingual LMs for Global South: addresses last-mile challenge where multilinguality and hardware constraints intersect.
Transformers fail on unseen symbolic reasoning due to unembedding collapse and token copying difficulty, limiting out-of-distribution generalization.
N-gram models match LSTM/Transformer accuracy on event-log prediction with lower resources and better stability than neural baselines.
A-THENA uses time-aware Transformer encoding for early IoT intrusion detection with temporal packet dynamics.
Verbal Process Supervision uses structured natural-language critique as training-free inference scaling, improving GPT-5 reasoning on GPQA, AIME, and LiveCodeBench.
ASP(Q) handles inconsistent prioritized data with three optimal repair semantics and polynomial-hierarchy query complexity.
Memristor-based reservoir computing reduces parameter overhead for image classification via preprocessing and device dynamics.
Machine Learning interpretability as Non-Functional Requirement remains unverifiable; proposes provenance-based measurement framework.
DryRUN removes dependency on human-provided test cases for LLM code generation by automating test discovery in multi-agent frameworks.
Multivariate Kernel Score for conformal prediction adapts to residual geometry and connects Bayesian to frequentist uncertainty quantification.
Non-English prompts improve LLM reasoning performance; language acts as latent variable modulating internal inference rather than output medium.
Reddit user praise for OpenAI's Image 2.0 capability; no substantive technical details or announcement provided.
Beehiiv is clearly done being just a newsletter platform based on today's launch of a new webinar feature, customizable paywalls, and more.
Google demonstrates TPU infrastructure capabilities for scaling AI workloads via video content.