Topic

AI Models & Tools

Coverage of the models and products people actually use: new releases from OpenAI, Anthropic, Google and the open-weight labs, plus the assistants, agents and developer tools built on top of them.

Each story explains what shipped, what changed from the previous version and who it is for, so you can decide whether a release is worth your time.

Showing 61–72 of 123 articles

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Page 6 of 11

Claude Code Workflows
Run multiple Claude Code sessions in parallel: a data analyst guide
Learn how to run multiple Claude Code sessions in parallel for faster analysis, cleaner handoffs, and a stronger AI productivity workflow.
May 1, 202610 min read
LLMOps
LLMOps platform for production AI: what raw AI gets wrong
Learn why raw AI in production is risky and how an LLMOps platform for production AI reduces failures, leakage, and trust loss.
May 1, 20269 min read
AI Model Reviews
Claude Opus 4.7 Regression: Is It Worse Than Opus 4.6?
Claude Opus 4.7 regression complaints are growing. Here's why users say Claude Opus 4.7 feels worse than 4.6 for technical research.
May 1, 20267 min read
OpenAI Ecosystem
Advanced OpenAI use cases beyond prompting guide
Explore advanced OpenAI use cases beyond prompting, with real workflow automation examples, agent patterns, tools, risks, and team guardrails.
Apr 30, 202611 min read
OpenAI Ecosystem
OpenAI Superapp ChatGPT Codex Atlas Explained
OpenAI superapp ChatGPT Codex Atlas could merge chat, coding, search, memory, and agents into one AI layer. Here's what that means.
Apr 30, 20267 min read
LLM Reliability
Why ChatGPT makes confident mistakes after strawberry fix
Why ChatGPT makes confident mistakes, even after solving strawberry letter counts, and how users should verify polished AI answers.
Apr 29, 20268 min read
AI Assistants
GPT 5.4 thinking mode mid response explained
GPT 5.4 thinking mode mid response explained: how interruption works, when it helps, where it fails, and why it changes ChatGPT UX.
Apr 29, 20269 min read
Multimodal AI
MLC SLM Challenge 2026 Registration and $20K Prize Guide
MLC SLM Challenge 2026 registration is open. Learn the tasks, prize pool, and why this multilingual speech LLM challenge matters.
Apr 29, 20266 min read
Large Language Models
RLHF explained for ChatGPT and Claude: full guide
RLHF explained for ChatGPT and Claude, from SFT to preference tuning, DPO, RLAIF, and safety trade-offs users notice.
Apr 29, 20269 min read
Large Language Models
LLM reasoning in vector space: why text still wins
Explore llm reasoning in vector space, why LLMs reason in natural language, and what latent-space reasoning could change.
Apr 29, 20267 min read
Large Language Models
Robust LLM Analysis Framework: Analytica Paper Summary
A clear look at the robust LLM analysis framework in Analytica, and how soft propositional reasoning could make LLM analysis more reliable.
Apr 29, 20267 min read
LLM Evaluation
When does LLM self-correction help? A practical guide
When does LLM self-correction help? We explain the control-theoretic paper, verify-first design, and when iterative refinement improves agents.
Apr 27, 202610 min read

Run multiple Claude Code sessions in parallel: a data analyst guide

LLMOps platform for production AI: what raw AI gets wrong

Claude Opus 4.7 Regression: Is It Worse Than Opus 4.6?

Advanced OpenAI use cases beyond prompting guide

OpenAI Superapp ChatGPT Codex Atlas Explained

Why ChatGPT makes confident mistakes after strawberry fix

GPT 5.4 thinking mode mid response explained

MLC SLM Challenge 2026 Registration and $20K Prize Guide

RLHF explained for ChatGPT and Claude: full guide

LLM reasoning in vector space: why text still wins

Robust LLM Analysis Framework: Analytica Paper Summary

When does LLM self-correction help? A practical guide