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Changelog

Changelog

New tools, articles, guides, and comparisons — everything we ship.

Everything added to ThePlanetTools.ai, sorted by date. Tools, blog articles, guides, and comparisons — all in one feed.

July 12, 2026

4 items

July 11, 2026

6 items
The FTC Wants to Preempt State AI Laws. Here's Why It Hasn't Yet.
Blognews

The FTC Wants to Preempt State AI Laws. Here's Why It Hasn't Yet.

On July 7, 2026, the FTC published a proposed policy statement arguing the Colorado AI Act is "impliedly preempted" where it conflicts with Section 5 of the FTC Act. It is open for public comment until July 31, 2026 — not a binding rule, and not a final preemption of any state law.

Microsoft Cuts 4,800 Jobs, Xbox Hit Hardest, as Record AI Capex Squeezes Headcount
Blognews

Microsoft Cuts 4,800 Jobs, Xbox Hit Hardest, as Record AI Capex Squeezes Headcount

Microsoft is cutting about 4,800 jobs (roughly 2.1% of its workforce), with Xbox hit hardest, as a record ~$190 billion AI capex plan and a 23% stock slide pressure margins. What happened, and why, decoded.

ByteDance EdgeBench Measures How AI Agents Learn on the Job — and Claude Opus 4.8 Leads
Blognews

ByteDance EdgeBench Measures How AI Agents Learn on the Job — and Claude Opus 4.8 Leads

EdgeBench is ByteDance Seed's new benchmark for how AI agents learn while they work, across 134 real-world tasks that each run at least 12 hours. Claude Opus 4.8 tops the leaderboard at 51.3, and the paper finds agent performance follows a log-sigmoid scaling law with R-squared of 0.998.

xAI Is Officially SpaceXAI Now — But Grok Keeps Its Name (July 2026)
Blognews

xAI Is Officially SpaceXAI Now — But Grok Keeps Its Name (July 2026)

xAI officially rebranded as SpaceXAI on July 6, 2026, completing its all-stock merger with SpaceX. The corporate change updated the parent identity and the X handle to @SpaceXAI — but Grok kept its name, pricing, and API. Here is what actually changed.

Illinois's SB 315: The First US State to Mandate Independent AI Safety Audits
Blognews

Illinois's SB 315: The First US State to Mandate Independent AI Safety Audits

Illinois SB 315, the AI Safety Measures Act signed July 6, 2026, makes Illinois the first US state to require annual independent third-party audits of frontier AI developers. Here is who it covers, the risk thresholds, the reporting clock, and the penalties.

OpenAI's gpt-realtime-2.1 Cuts Voice Latency 25% and Adds a Cheaper Mini Tier
Blognews

OpenAI's gpt-realtime-2.1 Cuts Voice Latency 25% and Adds a Cheaper Mini Tier

OpenAI shipped gpt-realtime-2.1 and gpt-realtime-2.1-mini on its Realtime API on July 6, 2026, cutting p95 voice latency by at least 25% through improved caching. Cached text now costs 0.40 dollar per million tokens versus 4.00 dollars standard, and a low-cost mini tier targets high-volume voice agents.

July 7, 2026

6 items
Anthropic Found a 'Global Workspace' Inside Claude — Here's What It Does and Doesn't Prove About Consciousness
Blognews

Anthropic Found a 'Global Workspace' Inside Claude — Here's What It Does and Doesn't Prove About Consciousness

Anthropic's interpretability team says Claude has a functional 'global workspace' — markers of access consciousness. Here's what the research shows, what it explicitly does not claim, and why 'Claude is conscious' is the wrong takeaway.

NVIDIA's Kyber NVL144 Delayed to 2028? The Report and the Denial
Blognews

NVIDIA's Kyber NVL144 Delayed to 2028? The Report and the Denial

A SemiAnalysis report says NVIDIA's Kyber NVL144 rack (Rubin Ultra) slips more than 12 months to 2028 on PCB midplane defects; NVIDIA disputes it, calling its roadmap intact. We separate what is confirmed from what is contested.

A Google Exec Ported Command & Conquer to Native iOS With Claude Code and Fable 5
Blognews

A Google Exec Ported Command & Conquer to Native iOS With Claude Code and Fable 5

A Google AI Studio lead ported the 2003 strategy game Command & Conquer: Generals — Zero Hour to native iPhone, iPad, and Mac using Anthropic's Claude Code and the Fable 5 model. We break down what the viral demo really shows about agentic coding — and what it doesn't.

Hollywood Fights Seedance in Public, Quietly Uses It in Private
Blognews

Hollywood Fights Seedance in Public, Quietly Uses It in Private

Hollywood publicly fought ByteDance's Seedance with cease-and-desist letters, yet an early-July 2026 Los Angeles Times investigation finds studios quietly tolerate the AI video tool on a 'don't ask, don't tell' basis, just as Seedance 2.5 launches. Here is what is verified, attributed source by source, and what is not.

The UN Just Held Its First Global AI Governance Dialogue — Here's What It Can and Can't Do
Blognews

The UN Just Held Its First Global AI Governance Dialogue — Here's What It Can and Can't Do

The UN convened its first Global Dialogue on AI Governance in Geneva on July 6-7, 2026. What Guterres, Bengio and the co-chairs said — and why a forum with no binding power still matters.

Even Realities Hits $1B: The Camera-Free Bet Against Meta’s Smart-Glasses Lead
Blognews

Even Realities Hits $1B: The Camera-Free Bet Against Meta’s Smart-Glasses Lead

Even Realities raised $150 million at a $1 billion valuation, led by Meituan and Tencent, betting that camera-free, privacy-first smart glasses can challenge Meta — which IDC pegged at 69.2% of the market in Q1 2026 and Counterpoint at 82% in H2 2025.

July 6, 2026

11 items
AI Training vs Inference: Where the Money Really Goes
Bloganalysis

AI Training vs Inference: Where the Money Really Goes

AI has two costs: training a model once, a massive one-time expense, and inference, the recurring cost of answering every request. At scale, inference is roughly 80 to 90 percent of a model's lifetime compute bill. This explainer defines both phases, shows why the training-is-expensive myth breaks at scale, and breaks down what drives inference cost and how to control it.

RAG vs Fine-Tuning vs Prompt Engineering: Which One Do You Actually Need?
Bloganalysis

RAG vs Fine-Tuning vs Prompt Engineering: Which One Do You Actually Need?

RAG, fine-tuning, and prompt engineering solve different problems. Prompt engineering shapes the instructions, RAG supplies external knowledge, and fine-tuning changes behavior. Start with prompting, add RAG for your own data, and fine-tune only when both fall short.

The AI Glossary: 45+ Terms Everyone Should Know (Plain English)
Bloganalysis

The AI Glossary: 45+ Terms Everyone Should Know (Plain English)

Tokens, agents, RAG, MCP, quantization — decoded. A plain-English glossary of 45+ AI terms, each defined in one or two clear sentences you can trust.

Prompt Engineering: A Practical Guide (2026)
Guide

Prompt Engineering: A Practical Guide (2026)

A beginner-friendly, practical prompt engineering guide: a reusable Role-Goal-Context-Format-Example skeleton, being specific, few-shot examples, controlling output format, iterating instead of giving up, durable system prompts, what no longer works in 2026, and 10 copy-paste templates.

How Much VRAM Do You Need to Run an LLM? The Full Sizing Table
Bloganalysis

How Much VRAM Do You Need to Run an LLM? The Full Sizing Table

How much VRAM to run an LLM? Roughly 2 GB per billion parameters in FP16, about 1 GB in 8-bit, and 0.5 to 0.6 GB in 4-bit, plus 15 to 20 percent overhead. This reference table maps sizes from 7B to 405B-plus across FP16, Q8, and Q4 to the exact hardware that runs them.

How Do Large Language Models Actually Work? (Plain English)
Bloganalysis

How Do Large Language Models Actually Work? (Plain English)

A large language model writes text by repeatedly predicting the most likely next word, one token at a time. This plain-English guide explains next-token prediction, tokens, embeddings, the transformer and attention, two-phase training, and why LLMs hallucinate.

What Are AI Agents? How They Work (With Business Use Cases)
Bloganalysis

What Are AI Agents? How They Work (With Business Use Cases)

An AI agent is an AI system that pursues a goal: it plans, uses tools like APIs and a browser, acts, checks the result, and repeats until the goal is met — unlike a chatbot, which answers one prompt and stops. Here is how AI agents work and where they fit in a business.

Kling AI Raises $2.8 Billion as Alibaba, Tencent and Baidu Fund China's Video Generation War
Blognews

Kling AI Raises $2.8 Billion as Alibaba, Tencent and Baidu Fund China's Video Generation War

Kuaishou's Kling AI raised about $2.8 billion at a $15 billion pre-money valuation, backed by Alibaba, Tencent and Baidu. Here is what the deal means for the AI video war against Veo, Seedance and Runway.

What Is MCP (Model Context Protocol)? Explained Simply
Bloganalysis

What Is MCP (Model Context Protocol)? Explained Simply

MCP (Model Context Protocol) is an open standard — a USB-C port for AI — that lets any model connect to your tools and data through one interface. Created by Anthropic in 2024, now backed by OpenAI and Google.

Anthropic Built Claude a Science Workbench — and Gave It a Fact-Checker
Blognews

Anthropic Built Claude a Science Workbench — and Gave It a Fact-Checker

Anthropic's Claude Science is a beta research workbench with 60+ science skills and a reviewer agent that flags bad citations and untraceable numbers.

What Is RAG (Retrieval-Augmented Generation)? A Plain-English Explainer
Bloganalysis

What Is RAG (Retrieval-Augmented Generation)? A Plain-English Explainer

A plain-English explainer of Retrieval-Augmented Generation (RAG): why it exists, how the retrieve-augment-generate pipeline works, the building blocks, and how it differs from fine-tuning.

July 4, 2026

6 items
AI Model Pricing Explained: Input, Output & Cached Tokens
Bloganalysis

AI Model Pricing Explained: Input, Output & Cached Tokens

AI model pricing is charged per token and split into input, output, and cached rates, with output typically 3 to 5 times pricier than input and cached input around 90% cheaper. This explainer decodes the dual rate, prompt caching, batch and long-context tiers, and shows a worked cost example.

SWE-bench Pro vs SWE-bench Verified: Why These AI Coding Scores Don't Compare
Bloganalysis

SWE-bench Pro vs SWE-bench Verified: Why These AI Coding Scores Don't Compare

SWE-bench Verified and SWE-bench Pro are two different AI coding benchmarks — Verified is an easier 500-task subset, Pro is a harder, contamination-resistant test. The same model can score 80.6 on Verified and 55.4 on Pro, which is why the two scores cannot be compared.

What Is an Agentic Coding Model? (And How It Differs From a Chatbot)
Bloganalysis

What Is an Agentic Coding Model? (And How It Differs From a Chatbot)

An agentic coding model is an AI that plans a task, uses tools, drives a terminal or browser, edits a real codebase across many steps, and self-corrects until the goal is done. A chatbot answers one prompt; autocomplete finishes a line. This is the founding distinction of the 2026 coding-model era.

Closed vs Open-Weight AI Models: How to Actually Choose (2026)
Bloganalysis

Closed vs Open-Weight AI Models: How to Actually Choose (2026)

Closed vs open-weight AI models come down to who holds the weights. This decision grid weighs cost, control and data residency, security, ecosystem, and performance parity, then maps concrete usage profiles to the right choice.

How to Cut Your AI API Costs (Step-by-Step)
Guide

How to Cut Your AI API Costs (Step-by-Step)

A step-by-step guide to reducing your LLM API bill by 80 to 95 percent: measure spend, right-size the model, cache prompts, cut tokens, batch, route by difficulty, and monitor. Worked example: $8,250 to $580 per month.

How to Self-Host an Open-Weight AI Model (Step-by-Step Guide, 2026)
Guide

How to Self-Host an Open-Weight AI Model (Step-by-Step Guide, 2026)

A step-by-step guide to self-hosting an open-weight AI model: match the model to your VRAM, quantize with FP8 or INT4, download the weights, pick a runtime (vLLM, Ollama, SGLang, llama.cpp), and serve an OpenAI-compatible API you control.

July 1, 2026

12 items
Claude Sonnet 5 vs Gemini 3.1 Pro: Coding Leader vs Reasoning Leader (2026)
Comparison

Claude Sonnet 5 vs Gemini 3.1 Pro: Coding Leader vs Reasoning Leader (2026)

Claude Sonnet 5 vs DeepSeek V4: Closed Frontier vs Open-Weight Price (2026)
Comparison

Claude Sonnet 5 vs DeepSeek V4: Closed Frontier vs Open-Weight Price (2026)

Claude Sonnet 5 vs Qwen 3.6: Closed Frontier vs Open-Weight Price (2026)
Comparison

Claude Sonnet 5 vs Qwen 3.6: Closed Frontier vs Open-Weight Price (2026)

Anthropic's Claude Sonnet 5 Puts Near-Opus Agents in the Cheap Seats
Blognews

Anthropic's Claude Sonnet 5 Puts Near-Opus Agents in the Cheap Seats

Claude Sonnet 5 is Anthropic's midsize model, released June 30, 2026. It scores 63.2% on SWE-bench Pro — near Opus 4.8's 69.2% — at $2 per million input tokens, 40% of the flagship's price. Now the default for free and Pro.

Claude Sonnet 5 vs Kimi K2.7: Closed Capability vs Open-Weight Price (2026)
Comparison

Claude Sonnet 5 vs Kimi K2.7: Closed Capability vs Open-Weight Price (2026)

Claude Sonnet 5 vs Claude Sonnet 4.6: The Upgrade (2026)
Comparison

Claude Sonnet 5 vs Claude Sonnet 4.6: The Upgrade (2026)

Claude Sonnet 5 vs Kimi K2.6: Closed Capability vs Open-Weight Price (2026)
Comparison

Claude Sonnet 5 vs Kimi K2.6: Closed Capability vs Open-Weight Price (2026)

Claude Sonnet 5 vs GLM-5.2: Closed Ecosystem vs Open Weights (2026)
Comparison

Claude Sonnet 5 vs GLM-5.2: Closed Ecosystem vs Open Weights (2026)

Claude Sonnet 5 vs GPT-5.5: Anthropic Mid-Tier vs OpenAI Flagship (2026)
Comparison

Claude Sonnet 5 vs GPT-5.5: Anthropic Mid-Tier vs OpenAI Flagship (2026)

Claude Sonnet 5 vs Claude Opus 4.8: Workhorse vs Flagship (2026)
Comparison

Claude Sonnet 5 vs Claude Opus 4.8: Workhorse vs Flagship (2026)

Claude Sonnet 5
New Tool

Claude Sonnet 5

Anthropic's most agentic midsize model — near-Opus 4.8 coding and computer use at $2 per million input tokens (introductory through August 2026).

Claude Fable 5 Is Back: Anthropic Redeploys After US Export Controls Lift
Blognews

Claude Fable 5 Is Back: Anthropic Redeploys After US Export Controls Lift

Claude Fable 5 is back. Anthropic began redeploying its most capable model on July 1, 2026, after the US lifted export controls on June 30. Access returns on Claude Platform, Claude.ai, Claude Code and Claude Cowork, with a new safety classifier.

June 30, 2026

1 item

June 26, 2026

1 item

June 22, 2026

1 item

June 19, 2026

2 items

June 10, 2026

1 item

June 9, 2026

4 items

May 30, 2026

1 item

May 22, 2026

5 items

May 10, 2026

3 items

May 9, 2026

4 items

May 8, 2026

7 items

May 6, 2026

2 items

April 20, 2026

1 item

April 1, 2026

4 items

March 16, 2026

4 items
AI Tools That Changed Everything in Q1 2026
Guide

AI Tools That Changed Everything in Q1 2026

Q1 2026 delivered GPT-5.4 with native computer use and a 1M-token context, Claude Opus 4.6 with 128k output and adaptive thinking, and Gemini 3.1 Pro scoring 77.1% on ARC-AGI-2. Cursor surpassed $2B ARR at a $50B valuation, every major IDE shipped multi-agent parallel coding, and Seedance 2.0 brought Hollywood-grade AI video generation to consumer pricing.

Building a SaaS in 2026: The Modern Tech Stack Guide
Guide

Building a SaaS in 2026: The Modern Tech Stack Guide

A production-tested SaaS stack built on Next.js 16 App Router with 80% Server Components, Supabase for PostgreSQL/auth/storage, Tailwind CSS v4 with the Rust-based Oxide engine, and Vercel for edge deployment with ISR. Total monthly cost runs under $50 for early-stage products, with Claude API and n8n handling AI features and workflow automation.

SEO in the Age of AI: GEO, AEO, and How to Rank in 2026
Guide

SEO in the Age of AI: GEO, AEO, and How to Rank in 2026

In 2026, SEO requires three disciplines: traditional search optimization for Google, Generative Engine Optimization (GEO) for AI citation in ChatGPT/Claude/Perplexity via structured 40-word answer blocks, and Answer Engine Optimization (AEO) prioritizing factual density over keyword density. Implementing llms.txt, FAQ schema with prompt-matched questions, and E-E-A-T signals now determines visibility across both search engines and AI answer engines.

The Rise of AI Agents: From Devin to Claude Code — What Developers Need to Know
Guide

The Rise of AI Agents: From Devin to Claude Code — What Developers Need to Know

AI coding agents in 2026 operate on a 5-level autonomy spectrum from code completion to multi-agent teams. Claude Code runs on Opus 4.6 with a 1M-token context and 76% MRCR accuracy, Devin dropped to $20/month with autonomous PR generation, and Cursor hit $2B ARR. In February 2026, every major player shipped multi-agent parallel coding simultaneously, enabling single developers to run frontend, backend, and test agents concurrently.

March 15, 2026

2 items