Mechanistic Interpretability: Peeking Inside an LLM
Are the human-like cognitive abilities of LLMs real or fake? How does information travel through the neural network? Is there hidden knowledge inside an LLM?
The post Mechanistic Interpretability: Peeking Inside an LLM appeared first on Towards Data Science.
HighRes & Opentrons Launch AI Agent-to-Agent Lab Workflow
Joint collaboration unites powerful robotics with AI-driven orchestration to redefine how labs scale automation HighRes, Inc., a leader in laboratory automation and orchestration software, and Opentrons Labworks, Inc., the leading laboratory robotics company building the physical infrastructure for ...
NTT DATA and AWS Collaborate on Cloud & Agentic AI
NTT DATA, a global leader in AI, digital business and technology services, today announced a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to help enterprises modernize legacy systems, adopt agentic AI responsibly and scale innovation across industries. Combining ...
Intruder Warns of Data Risks in Moltbot AI Assistant
Intruder, a leader in exposure management, today released new security research detailing vulnerabilities in Moltbot, formerly known as Clawdbot, an open-source, self-hosted AI assistant. The research, “Clawdbot: When Easy AI Becomes a Security Nightmare,” finds that Moltbot’s emphasis on rapid, sim...
United Rentals Launches AI Agent for Frontline Decisions
Fortune 300 leader is deploying AI agents on Snowflake to help teams across 1,600+ branches make faster, data-driven decisions Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced that United Rentals, widely recognized as the world’s largest equipment rental provider, has rolled out a ...
Torq Hires Virgin Atlantic CISO to Lead Agentic AI Shift
After Transforming Virgin Atlantic’s Cyber Defenses From Legacy Systems to the Torq AI SOC Platform, White Now Helps Global CISOs Navigate the Transition to Agentic Security Operations Torq, the established agentic security operations leader, today announced former Virgin Atlantic CISO John White ha...
Faraday Future Unveils Humanoid & Bionic Robot Series
Faraday Future Intelligent Electric Inc. (NASDAQ: FFAI) (“Faraday Future”, “FF” or “Company”), a California-based global shared intelligent electric mobility ecosystem company, today announced the establishment of FF EAI-Robotics Inc., headquartered in California, and officially launched its first b...
Elastic Adds Multilingual Reranking to Inference Service
Two new Jina reranker models deliver low-latency, production-ready relevance for hybrid search and RAG workloads Elastic (NYSE: ESTC), the Search AI Company, today made two Jina Rerankers available on Elastic Inference Service (EIS), a GPU-accelerated inference-as-a-service that makes it easy to run...
For 30 years, digital commerce has been a destination. We “go to” a website, a marketplace, or an app. In this single, bundled environment, we handle discovery, comparison, and checkout. The entire architecture of the web, from product pages to payment gateways, is built on this assumption. This ass...
AI News Weekly - Issue #464: 5 reasons will will not get AGI soon - Feb 5th 2026
Research
The 5 Existential Barriers to AGI : Why scaling isn't working anymore
Welcome to AI Weekly, today we're exploring the barriers and top 5 limits to having AGI with the current LLM-based models. A lot of hype was built in 2025 and looking at the markets we're starting ...
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. Every time OpenAI, Google, or Anthropic drops a new frontier large language model, the AI community holds its breath. It ...
OpenAI introduces Trusted Access for Cyber, a trust-based framework that expands access to frontier cyber capabilities while strengthening safeguards against misuse.
SECNAP Network Security, a leading managed detection and response provider and cybersecurity innovator with over 20 years of experience, today announced the launch of CloudJacket MXDR. This next-generation managed extended detection and response (MXDR) solution builds on the company’s patented Cloud...
LF Edge, an umbrella organization within the Linux Foundation that has created an open, interoperable framework for edge computing independent of hardware, cloud, or operating system, today announced that its EdgeLake project has advanced from Stage 1 (“At-Large”) to Stage 2 (“Growth”) within LF Edg...
Mistral AI Launches Voxtral Transcribe 2: Pairing Batch Diarization And Open Realtime ASR For Multilingual Production Workloads At Scale
Automatic speech recognition (ASR) is becoming a core building block for AI products, from meeting tools to voice agents. Mistral’s new Voxtral Transcribe 2 family targets this space with 2 models that split cleanly into batch and realtime use cases, while keeping cost, latency, and deployment const...
Apollo appoints new CEO to scale next phase of growth
Apollo.io, a leading AI-native go-to-market platform, today announced that Matt Curl has been appointed Chief Executive Officer, effective immediately. Founder Tim Zheng will continue as Chairman of the Board. Curl and Zheng have partnered closely for nearly six years, and Curl has worked with Apoll...
Paza: Introducing automatic speech recognition benchmarks and models for low resource languages
Microsoft Research unveils Paza, a human-centered speech pipeline, and PazaBench, the first leaderboard for low-resource languages. It covers 39 African languages and 52 models and is tested with communities in real settings.
The post Paza: Introducing automatic speech recognition benchmarks and mo...
Understanding the Impact of Differentially Private Training on Memorization of Long-Tailed Data
arXiv:2602.03872v1 Announce Type: new
Abstract: Recent research shows that modern deep learning models achieve high predictive accuracy partly by memorizing individual training samples. Such memorization raises serious privacy concerns, motivating the widespread adoption of differentially private t...
Reversible Deep Learning for 13C NMR in Chemoinformatics: On Structures and Spectra
arXiv:2602.03875v1 Announce Type: new
Abstract: We introduce a reversible deep learning model for 13C NMR that uses a single conditional invertible neural network for both directions between molecular structures and spectra. The network is built from i-RevNet style bijective blocks, so the forward ...
arXiv:2602.03876v1 Announce Type: new
Abstract: Standard reinforcement learning from human feedback (RLHF) trains a reward model on pairwise preference data and then uses it for policy optimization. However, while reward models are optimized to capture relative preferences, existing policy optimiza...
NeuroPareto: Calibrated Acquisition for Costly Many-Goal Search in Vast Parameter Spaces
arXiv:2602.03901v1 Announce Type: new
Abstract: The pursuit of optimal trade-offs in high-dimensional search spaces under stringent computational constraints poses a fundamental challenge for contemporary multi-objective optimization. We develop NeuroPareto, a cohesive architecture that integrates ...
GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression
arXiv:2602.03906v1 Announce Type: new
Abstract: Information Bottleneck (IB) is widely used, but in deep learning, it is usually implemented through tractable surrogates, such as variational bounds or neural mutual information (MI) estimators, rather than directly controlling the MI I(X;Z) itself. T...
Knowledge Model Prompting Increases LLM Performance on Planning Tasks
arXiv:2602.03900v1 Announce Type: new
Abstract: Large Language Models (LLM) can struggle with reasoning ability and planning tasks. Many prompting techniques have been developed to assist with LLM reasoning, notably Chain-of-Thought (CoT); however, these techniques, too, have come under scrutiny as...