• Latest
  • Trending
  • All
Answer card: a San Francisco judge gave final approval to Anthropic's $1.5 billion author settlement on July 20, 2026, about $3,000 per book across roughly 500,000 works, but it settles the piracy, not the fair-use question.

A judge approved Anthropic’s $1.5B author settlement

3 September 2026
Answer card stating that OpenAI published its research acceleration measurements on 6 September 2026, that as of mid August 2026 its research organisation logged 3.1 agent workdays of coding agent runtime for every workday of human labour normalised to a standard eight hour day, and that OpenAI states this should not be read as a 3.1 times productivity gain because it measures runtime rather than delivered output.

OpenAI’s 3.1 agent-workdays per human day is not a 3.1x gain

7 September 2026
Answer card stating that Mullvad announced on 3 September 2026 that it is shutting down its public encrypted domain name system servers on 2 November 2026 and sponsoring the Quad9 Foundation instead, with 194.242.2.2 and its five sibling addresses all going away, and virtual private network customers unaffected.

Mullvad’s DNS servers go dark on 2 November, and Quad9 blocks no ads

5 September 2026
OpenAI announcement image for GPT-6 Astra, a spiral galaxy of white, blue and amber points of light curling around a bright core on a near black star field.

GPT-6 Astra lists at $10 and $50, 2.5x what GPT-5.6 Sol costs

6 September 2026
Google's official announcement image for the release, reading Introducing Gemini 3.8 Flash and 3.8 Flash Cyber in black type over a pale blue background with a blurred white chevron and the four colour Gemini spark below.

Gemini 3.8 Flash keeps the price and the 1 January cliff

3 September 2026
Answer card stating that Anthropic announced Enterprise Frontier Safeguards on 1 September 2026, that activity data used for misuse monitoring moves into cloud storage the customer controls under the customer own encryption keys, that Anthropic charges nothing for the feature while the cloud provider bills storage and egress, and that the phased rollout starts later in autumn 2026 with interim zero data retention on Fable 5 and Fable 5.1 for eligible customers.

Anthropic moves retention into your own cloud, for 30 days

3 September 2026
Official Google diagram of a client connection in three numbered steps: a DNS lookup with a query and an address, a TLS ClientHello and ServerHello, then a content exchange with a website. A callout on the DNS step reads 25% of global web traffic is now protected by encrypted DNS, and a callout beside an Android phone on the ClientHello step reads Android 17 supports ECH GREASE by default.

Android 17 hides the SNI, not your DNS or destination

3 September 2026
Still frame from the Claude Fable 5.1 launch video showing model-designed protein binders in orange docked against twelve grey target proteins, rendered as ESMFold2 structure predictions.

Claude Fable 5.1 breaks forced tool use, cuts cache 75%

1 September 2026
Answer card stating that on 31 August 2026 the European Commission designated ChatGPT a Very Large Online Search Engine under the Digital Services Act, the first conversational AI service classified that way, because it answers user prompts and queries including by searching the web, with OpenAI having declared roughly 159.1 million average monthly users in the European Union for ChatGPT search.

The EU now calls ChatGPT a very large search engine

3 September 2026
Answer card stating that on 31 August 2026 the Department of War added OpenAI ChatGPT Mil and Starshield AI Grok for Government to the GenAI.mil portal alongside Google Gemini, all three accredited at Impact Level 5 for Controlled Unclassified Information, with 1.7 million unique users onboarded out of roughly 3 million eligible personnel, and ChatGPT Mil currently serving GPT-5.4 Terra with GPT-5.6 Terra said to be rolling out.

ChatGPT Mil and Grok reached IL5 on GenAI.mil

3 September 2026
Answer card stating that Anthropic opened a research preview of the Model Hardware Standard on 27 August 2026, standardising the driver layer between an operating system and a laboratory instrument with read and write primitives plus discovery and safety limits, reachable through MCP as well as a command line and code files, with no public specification published.

Anthropic’s Model Hardware Standard is gated, and sits under MCP

3 September 2026
Official Cohere key art for the Parse 5 launch: the Cohere mark and the wordmark Parse with a superscript 5 in white, centred on a soft out of focus gradient of deep blue, violet and amber curves.

Cohere Parse 5 is $1.50 per 1,000 pages, on three of five dimensions

3 September 2026
Title card from the OpenAI announcement video: a man sits on a blue sofa in a loft with tall windows and potted plants, a laptop open on the coffee table in front of him, with the words WebMCP in ChatGPT in large white type across the lower left.

WebMCP in ChatGPT needs GPT-5.6 Sol or Terra

3 September 2026
  • About
  • Contact
  • Privacy
  • Legal
Tuesday, September 8, 2026
  • Login
Packet Nebula
  • Home
  • Articles
    • Security
    • Network
    • Dev
    • Sysadmin
    • SEO
    • Email & DNS
  • Tools
    • Network tools: free, fast, no signup
    • Security tools: free, fast, no signup
    • Developer tools: free, fast, no signup
    • Sysadmin tools: free, fast, no signup
    • SEO tools: free, fast, no signup
    • Email & DNS tools: free, fast, no signup
  • Download
  • About
No Result
View All Result
Packet Nebula
No Result
View All Result
Home Dev

A judge approved Anthropic’s $1.5B author settlement

by stephane
3 September 2026
in Dev
0
Answer card: a San Francisco judge gave final approval to Anthropic's $1.5 billion author settlement on July 20, 2026, about $3,000 per book across roughly 500,000 works, but it settles the piracy, not the fair-use question.
491
SHARES
1.4k
VIEWS
Share on FacebookShare on Twitter

So the biggest AI copyright fight just ended with a cheque, not a verdict. On July 20 a federal judge in San Francisco signed off on Anthropic's settlement with authors: 1.5 billion dollars, about 3,000 dollars per book. That's the news, and it's the largest copyright recovery anyone can point to. We went in expecting the ruling to answer the one question every builder actually has, whether training a model on copyrighted text is legal. It doesn't. Here's the bit the headline number buries: this settles how Anthropic got the books, not whether the training itself was fair use. Your Claude keys don't change today. The precedent you were waiting for still isn't here.

The short answer

A San Francisco judge signed off on Anthropic’s settlement with authors: the largest copyright recovery on record. It pays out for pirated books used in training. It does not decide whether training on copyrighted text is fair use, because settling meant that question never reached appeal. Nothing about your Claude access or API pricing moves.

$1.5Bfinal approval, July 20
~$3,000per book, ~500k works
$0change to your Claude bill
Answer card: a San Francisco judge gave final approval to Anthropic's $1.5 billion author settlement on July 20, 2026, about $3,000 per book across roughly 500,000 works, but it settles the piracy, not the fair-use question.
The one-card version. A record number that answers less than it looks like.

What the judge actually approved

On July 20, Judge Araceli Martinez-Olguin gave final approval to the class settlement in Bartz v. Anthropic, in the U.S. District Court for the Northern District of California. The plaintiffs are authors, led by thriller novelist Andrea Bartz, who sued in 2024. Preliminary approval came from Judge William Alsup back in September 2025. Some authors objected that 1.5 billion dollars was too low. The judge disagreed and signed anyway.

The scope is narrow, and that narrowness is the whole story. The settlement covers pirated books. Per the filings, Anthropic pulled them from LibGen in June 2021 and from PiLiMi in July 2022. To claim, a book needed an ISBN or ASIN and a timely Copyright Office registration. About 500,000 works qualified, and roughly 91 percent had been claimed by rights holders when the judge signed.

Plaintiff counsel Justin Nelson called it “the largest known copyright recovery in history.” That’s almost certainly right. It’s also the first of the big AI training-data cases to actually settle, while the ones against Google, Meta, OpenAI and a stack of news outlets grind on.

The question it doesn’t answer

Here’s what we kept waiting to read, and never did.

Is it legal to train a model on copyrighted text? This ruling doesn’t say. It can’t. A settlement is two parties agreeing to stop fighting, not a court deciding who was right.

Worse, the one piece of case law that pointed anywhere got neutralised. Judge Alsup had ruled earlier that training on books Anthropic bought legally counted as fair use. That finding applied to this case. Because Anthropic then settled rather than let it run, the fair-use question never went up to an appeals court, where a ruling would actually bind other judges. So the strongest signal we had just lost its teeth. The piracy got a price tag. The core legal question is exactly as open as it was a year ago.

If you were hoping this ruling would tell you whether the data behind your favourite model is on solid ground, it doesn’t. Nobody’s is, yet.

Comparison chart of the four Anthropic settlement installments: $300M on October 2 2025, $300M around final approval in July 2026, $450M on September 25 2026, and $450M on September 25 2027, totalling $1.5 billion.
The 1.5 billion lands in four instalments. Roughly half is funded already; the big ones are 2026 and 2027.

What changes for you

Today? Nothing you have to act on. No Claude model disappears. No API endpoint shifts. Your token bill is whatever it was yesterday. If you ship on Anthropic, this is a headline, not a task.

The real signal is slower and more useful. A 1.5 billion dollar cheque for scraping pirated books is the clearest number yet on what training-data provenance can cost. That’s why the labs suddenly talk about licensed corpora and data deals. Not because a court forced them, but because the bill for not bothering just became public and enormous. When you’re weighing a model for something you’ll ship and support for years, “where did the training data come from” stopped being a philosophical question. It’s a line item now.

Checklist: your Claude access and pricing are untouched, the settlement covers pirated books only, it does not resolve fair use, Anthropic admits no wrongdoing, and dozens of similar cases against other labs are still open.
Five honest lines. Most of them are about what this ruling is not.

Why it still matters

Not because your workflow breaks. It doesn’t. It matters because it sets the number.

Every other AI copyright case now has a reference point on the table: pirated training data can run to roughly 3,000 dollars a book and nine zeros in aggregate. That reshapes how every lab budgets for data, and it hands the plaintiffs in the pending cases a very large exhibit. Anthropic, for its part, admits nothing about fair use and moves on. The precedent that would actually settle this for everyone is still somewhere up the road, in a case that doesn’t end with a cheque.

For a longer look at where the legal fights around big AI companies are heading, we walked through the Apple v. OpenAI trade secrets suit, which is a different flavour of the same theme: the courtroom drama rarely changes your keys, but it always tells you where the money and the risk are moving.

Sources

Final approval and the ruling details as reported by TechCrunch and Fortune, with settlement terms, claim rules and the instalment schedule from the Authors Guild. The 1.5 billion dollar figure, the roughly 3,000 dollars per work and the “largest known copyright recovery” quote are as stated in those reports; the fair-use question remains unresolved because the settlement was never appealed.

Frequently asked questions

What did the judge approve on July 20, 2026?

U.S. District Judge Araceli Martinez-Olguin, in San Francisco, granted final approval to the class settlement in Bartz v. Anthropic. Anthropic pays 1.5 billion dollars, roughly 3,000 dollars per work, to rights holders of about 500,000 pirated books used in training. It follows preliminary approval by Judge William Alsup in September 2025, and the judge rejected objections that the amount was too small.

Does this decide whether AI training on copyrighted books is legal?

No, and that is the important part. The settlement resolves how Anthropic acquired the books, which was by downloading pirated copies from LibGen and PiLiMi. It does not set binding precedent on fair use. Judge Alsup had earlier found that training on legally bought books was fair use, but because Anthropic settled, that question never reached an appeals court. So there is still no higher-court ruling either way.

Does the settlement change anything for Claude or the Anthropic API?

Not operationally. No model is pulled, no endpoint changes, no price moves because of this ruling. If you build on Claude, there is nothing to do this week. The impact is legal and financial, not technical.

Who gets paid, and how much?

Rights holders of the roughly 500,000 covered works get at least 3,000 dollars per title before fees, potentially more depending on valid claims and interest. Trade and university-press titles split 50/50 between author and publisher by default; self-published and rights-reverted authors take the full amount. About 91 percent of covered works had been claimed at the time of final approval.

Does Anthropic admit wrongdoing?

No. Like most settlements, this one carries no admission of liability on the fair-use or training questions. Anthropic's deputy general counsel said the company was pleased that more than 91 percent of covered authors and publishers had claimed their share.

Tags: aianthropicbig-techcopyrightlegalnews
Share196Tweet123
stephane

stephane

  • Trending
  • Comments
  • Latest
The Agentic Coding section of the official Hy4 preview benchmark appendix published by Tencent, a table comparing Hy3 and Hy4 preview against DeepSeek V4 Pro 0813, Qwen 3.8 Max, GLM 5.3, Kimi K3, GPT 5.6 Sol and Claude Opus 5 across SWE-bench Multilingual, SWE-bench Pro, DeepSWE, three SWE Atlas tasks, SWE-Marathon, Terminal-Bench 2.1, NL2Repo-Bench, CyberGym, ProgramBench, PostTrainBench and Harbor-Index.

Tencent’s 770B Hy4 tops one benchmark row in 46

3 September 2026
Answer card: Proton Lumo 2.0 is private by policy, not by locality. Saved history is locked so even Proton cannot read it, but the prompt is decrypted on a Proton EU server to answer it, then forgotten.

Proton Lumo 2.0 review: how private is it, really?

3 September 2026
Answer card: Apple released iOS 26.6 and iPadOS 26.6 on 27 July 2026 with a release note covering bug fixes, security updates and an optimized Spotlight index to prepare for iOS 27, the index the rebuilt Siri reads for personal context.

iOS 26.6 is out: the Spotlight index it quietly builds

27 July 2026
Answer card: JWTs are not encrypted, anyone can read them; the signature proves who issued the token, not who may read it.

Are JWTs encrypted? No, and the difference will bite you

0
Answer card: a random 8 character password falls in under 2 hours offline, while 16 random characters hold for 1.4 trillion years at the same speed.

How long does it take to crack a password in 2026?

0
Answer card: three DNS records decide if your mail lands or bounces; SPF lists allowed senders, DKIM signs messages, DMARC sets the failure policy.

SPF, DKIM and DMARC explained: the records your email needs

0
Answer card stating that OpenAI published its research acceleration measurements on 6 September 2026, that as of mid August 2026 its research organisation logged 3.1 agent workdays of coding agent runtime for every workday of human labour normalised to a standard eight hour day, and that OpenAI states this should not be read as a 3.1 times productivity gain because it measures runtime rather than delivered output.

OpenAI’s 3.1 agent-workdays per human day is not a 3.1x gain

7 September 2026
Answer card stating that Mullvad announced on 3 September 2026 that it is shutting down its public encrypted domain name system servers on 2 November 2026 and sponsoring the Quad9 Foundation instead, with 194.242.2.2 and its five sibling addresses all going away, and virtual private network customers unaffected.

Mullvad’s DNS servers go dark on 2 November, and Quad9 blocks no ads

5 September 2026
OpenAI announcement image for GPT-6 Astra, a spiral galaxy of white, blue and amber points of light curling around a bright core on a near black star field.

GPT-6 Astra lists at $10 and $50, 2.5x what GPT-5.6 Sol costs

6 September 2026
  • About
  • Contact
  • Privacy
  • Legal

Copyright © 2026 Stephane Cardon.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Home
  • Articles
    • Security
    • Network
    • Dev
    • Sysadmin
    • SEO
    • Email & DNS
  • Tools
    • Network tools: free, fast, no signup
    • Security tools: free, fast, no signup
    • Developer tools: free, fast, no signup
    • Sysadmin tools: free, fast, no signup
    • SEO tools: free, fast, no signup
    • Email & DNS tools: free, fast, no signup
  • Download
  • About

Copyright © 2026 Stephane Cardon.