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Big Tech/Simon Willison LLMs/June 30, 2026 at 11:58 PM

Quoting Anthropic

We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. We'll begin restoring access tomorrow, and will share an update soon. — Anthropic , on Twitter Tags: ai , generative-ai , llms , anthropic , claude , claude-mythos-fable

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Big Tech / Simon Willison LLMs

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Simon Willison LLMs / Big Tech

1 min read

1We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
2We'll begin restoring access tomorrow, and will share an update soon.
3— Anthropic , on Twitter Tags: ai , generative-ai , llms , anthropic , claude , claude-mythos-fable

Anthropic Claude big_tech model

Source Lens

High-credibility rss source with quieter edition heat and sparse entity coverage.

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Source: Simon Willison LLMs
Type: rss
Credibility: 82/100
Heat: 58/100
Signals: 2 entities / 2 tags

Article Corroboration

3 independent stories from 3 sources corroborate this article around Anthropic, Claude, and model.

Corroborated

Sources: 4
Matches: 3
Signals: 7
Avg trust: 81

Anthropic developer shares prompting tips for Fable 5 that focus on finding your own blind spots first3 signals / 78 trust

The Decoder / ModelsAnthropic, Claude, model

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Who Cares About LLM costs?2 signals / 82 trust

Mozilla.ai Blog / Hot TakesAnthropic, model

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Ontologies Are So Back: Why AI Agents Are Reviving the Semantic Web2 signals / 80 trust

Latent Space / AgentsClaude, model

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Server Profile

Server-side profile learning will appear after saved stories, reads, source clicks, or Less feedback sync.

Server Waiting

Trained: 0
Ignored: 0
Hidden: 0

Reader Fit

No saved reader signals match this article yet; 3 follow-ups keep the thread moving.

Discovery Read

Profile matches: 0
Follow-ups: 3
Reader bias: Balanced

Discovery

This article is training a new reader profile.

Continue Thread / 3 signals / 99 scoreAnthropic developer shares prompting tips for Fable 5 that focus on finding your own blind spots firstAnthropic thread

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Read Training

Article read training starts after the reader opens this story.

Awaiting Read

Opened: No
Training signals: 0
Next target: Open

OpenedNext / Open
The article open is logged, but it does not train preferences yet.
Meaningful readWait / 35%
Reading to 35% starts profile training and reading history.
Deep readWait / 80%
Reading to 80% strengthens related topic and entity memory.

Open this article to start reader-memory training for Big Tech.

Feedback Loop

Article feedback loop will appear after an explicit action.

Waiting

Action: None
Signal delta: 0
Bias shift: 0
Topic: Big Tech

Awaiting feedback

Deep read, save, share, or press Less to show article-level training feedback.

Learning Impact

This article can start reader-memory signals and stage 3 follow-up recommendations.

Learning Ready

Article memory: 0
Save adds: +4
Source adds: +1
Less removes: 0
Next candidates: 3

Read+1 signal / +0.3 bias

Read would start a new Big Tech memory; entity and angle memory wait for a deeper read.

Save+4 signals / +0.6 bias

Save would add Big Tech, Simon Willison LLMs, Anthropic, Claude to the reader profile.

Share+4 signals / +0.9 bias

Share would add Big Tech, Simon Willison LLMs, Anthropic, Claude and push freshness and novelty harder.

Source+1 signal / +0.6 bias

Source would add Simon Willison LLMs to the reader profile.

Less0 signals / -0.4 bias

Less would only dampen ranking bias until a signal exists.

Next Recommendation

Anthropic thread / 3 signals / 99 scoreAnthropic developer shares prompting tips for Fable 5 that focus on finding your own blind spots first

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Claude thread / 2 signals / 143 scoreOntologies Are So Back: Why AI Agents Are Reviving the Semantic Web

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Next Reads

4 next reads: 3 continue, 1 explore, and 0 verify.

Next Reads Ready

Candidates: 4
Continue: 3
Explore: 1
Verify: 0

Ontologies Are So Back: Why AI Agents Are Reviving the Semantic WebContinue

Agents / Latent Space / 2 signals / 143 scoreClaude thread

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OpenAI claims GPT-5.6 Sol beats Opus 5 on ARC-AGI-3 but only with its own custom test harnessContinue

Models / The Decoder / 2 signals / 139 scoreAnthropic thread

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OpenAI claims GPT-5.6 Sol beats Opus 5 on ARC-AGI-3 with its latest API and two additional settingsContinue

Models / The Decoder / 2 signals / 138 scoreAnthropic thread

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OpenAI says Hugging Face was breached by its own pre-release modelsExplore

Models / TechCrunch AI / 1 signal / 99 scoreBroaden reader graph

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Article Signals

Topic: Big Tech
Source: Simon Willison LLMs
Entities: Anthropic, Claude
Tags: big_tech, model
Reader bias: F1.0 / N1.0

Reading Path

5 follow-ups ranked by article overlap, shared entities, and reader signals.

5

3 signals / 99 scoreAnthropic developer shares prompting tips for Fable 5 that focus on finding your own blind spots firstAnthropic thread

Preview actions train this device only. Live stories will sync once production news IDs are available.

2 signals / 143 scoreOntologies Are So Back: Why AI Agents Are Reviving the Semantic WebClaude thread

Preview actions train this device only. Live stories will sync once production news IDs are available.

2 signals / 139 scoreOpenAI claims GPT-5.6 Sol beats Opus 5 on ARC-AGI-3 but only with its own custom test harnessAnthropic thread

Preview actions train this device only. Live stories will sync once production news IDs are available.

2 signals / 138 scoreOpenAI claims GPT-5.6 Sol beats Opus 5 on ARC-AGI-3 with its latest API and two additional settingsAnthropic thread

Preview actions train this device only. Live stories will sync once production news IDs are available.

2 signals / 108 scoreWho Cares About LLM costs?Anthropic thread

Preview actions train this device only. Live stories will sync once production news IDs are available.