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Latest AI News
Fresh signals across AI models, companies, research, tools and open-source development.
Phase 2 admin editor validation story
A validation article created through the Phase 2 admin publishing API.
Show HN: Aura, an LLM coding harness that dogfooded itself
Hacker News discussion with 3 points.
Validity of LLMs as data annotators: AMALIA on authority
A national language model offers a linguistic community its own instrument for measuring what its citizens say and value. Portugal's AMALIA, a publicly funded...
The Illusion of Equivalency: Statistical Characterization of Quantization Effects in LLMs
Post-training quantization is widely used to deploy large language models in resource-constrained settings, yet its evaluation relies almost exclusively on accuracy and...
Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows
Large language model (LLM) applications increasingly use explicit workflows for tool use, retrieval, branching, checkpointing, and human approval. Existing workflow...
SLORR: Simple and Efficient In-Training Low-Rank Regularization
Low-rank factorization is widely used to compress neural networks, but modern models are often not naturally amenable to aggressive factorization without significant...
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Build production-ready AI workflows
Explore tools, models and automation patterns for modern AI teams.
Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation
Scientific ideas rarely start from a blank page. They inherit mechanisms, repair known limitations, and recombine pieces of earlier work, much like biological genomes....
Railway secures $100 million to challenge AWS with AI-native cloud infrastructure
Railway , a San Francisco-based cloud platform that has quietly amassed two million developers without spending a dollar on marketing, announced Thursday that it raised...
Fidji Simo steps down from OpenAI’s no. 2 role
OpenAI's No. 2 executive, Fidji Simo, is stepping down from her full-time role after her medical leave proved longer than expected - a leadership vacuum that comes at a...
eli-labz/Cognitive-Core-Skills gains attention in AI open source
A universal, industry-neutral taxonomy of cognitive core skills (perception, memory, reasoning, planning, action, verification, learning, governance) for LLMs, SLMs, AI...
Google just redesigned the search box for the first time in 25 years - here's why it matters more than you think.
For a quarter century, the Google search box has been one of the most recognizable interfaces in computing: a thin white rectangle, a blinking cursor, a few typed words,...
Anthropic launches Cowork, a Claude Desktop agent that works in your files - no coding required
Anthropic released Cowork on Monday, a new AI agent capability that extends the power of its wildly successful Claude Code tool to non-technical users - and according to...
Claude Code costs up to $200 a month. Goose does the same thing for free.
The artificial intelligence coding revolution comes with a catch: it's expensive. Claude Code , Anthropic's terminal-based AI agent that can write, debug, and deploy...
Salesforce rolls out new Slackbot AI agent as it battles Microsoft and Google in workplace AI
Salesforce on Tuesday launched an entirely rebuilt version of Slackbot , the company's workplace assistant, transforming it from a simple notification tool into what...
Open models enter the enterprise race with faster releases and lower inference costs
A new wave of open-weight releases is forcing enterprise AI teams to revisit hosting, compliance and cost assumptions.
AI agents shift from demos to operations as companies demand measurable handoffs
Agent systems are being evaluated on traceability, recovery and human approval points rather than broad autonomy claims.
GitHub AI repositories surge as small teams package internal tools into public products
Open-source AI utilities are increasingly becoming the launchpad for commercial developer tools.
Robotics labs test foundation models against warehouse edge cases
The hardest robotics tasks remain messy physical exceptions rather than clean benchmark demonstrations.
The new AI search tools compete on citations, freshness and workflow memory
Search experiences are splitting into answer engines, research notebooks and enterprise knowledge layers.
Enterprise AI budgets shift from experiments to measurable workflow deployment
CIOs are asking AI vendors for reliability, audit logs and clear cost-per-task numbers before expanding deployments.
AI design tools become part of product teams' daily workflow
Design teams are using AI for ideation, prototyping, copy variants and faster handoff between product and engineering.
What is RAG and why AI teams use it
Retrieval-augmented generation explained in plain language for builders and product teams.
AI agents explained without the hype
A practical guide to goals, tools, memory, approvals and failure handling.
Open-source AI models: what they are good for
How companies use open models for cost control, privacy and customization.
Multimodal AI: text, image, audio and video in one system
Why AI products increasingly combine multiple input and output types.
Prompt engineering that still matters
The practical prompting habits that survive better models.
How AI evaluation works in real products
A simple guide to benchmarks, test sets, human review and production monitoring.
Context windows explained
What token limits mean and why longer context is not always better.
AI video generation: what is production-ready
Where AI video tools work today and where human review still matters.
AI security basics for builders
Prompt injection, data leakage and tool permissions explained clearly.
How AI costs add up
Tokens, retries, latency, hosting and review costs in one practical guide.