GLM-5.2 tops open weights, Gap Map grades 421 repos, Fable subagents cost more

Sources

Open Source AI Gap Map simonwillison.net

Open Source AI Gap Map Current AI is “a global partnership building a public option for AI”, founded as a non-profit at the AI Action Summit in Paris in February 2025 and backed by serious capital ($400m already committed). They launched their Gap Map a couple of days ago - an attempt at indexing the current state of open source AI: The Gap Map v0.1 details 421 products in depth: 266 software tools and libraries, 85 models, 50 datasets, and 20 hardware projects, produced by 228 organizations. T…

Fable’s judgement simonwillison.net

One of the most interesting tips I got from the Fireside Chat I hosted with Cat Wu and Thariq Shihipar from the Claude Code team at AIE on Wednesday was to let Fable (and to a certain extent Opus) use their own judgement rather than dictating how they should work. The example they gave was testing. You can tell Fable “only use automated testing for larger features, don’t update and run tests for small copy or design changes” - but it’s better to just tell Fable to use its own judgement when dec…

June 2026 newsletter simonwillison.net

The June edition of my sponsors-only monthly newsletter is out. If you are a sponsor (or if you start a sponsorship now) you can access it here . This month: Claude Fable 5, GPT-5.6, and US export restrictions GLM-5.2 is the new best open weights model Tokenmaxxing is so over Datasette Apps sqlite-utils and shot-scraper and Datasette Miscellaneous WASM projects Other model releases What I’m using Here’s a copy of the May newsletter as a preview of what you’ll get. Pay $10/month to stay a month…

References

Artificial Analysis Intelligence Index artificialanalysis.ai

GLM-5.2 currently leads the open-weights category on the Artificial Analysis Intelligence Index (v4.1) with a score of 51, placing it third globally behind only Claude Fable 5 and GPT-5.5.

Kilo.ai engineering blog blog.kilo.ai

code review quality varies significantly based on prompt wording, sometimes ‘skimming past’ bugs that proprietary models catch

Nextgov nextgov.com

Access was restored on July 1, 2026, only after Anthropic implemented more aggressive safety classifiers designed to block specific exploits, such as the ‘Amazon jailbreak’.

Peterson Institute (PIIE) analysis piie.com

Macron warned that ad hoc U.S. ‘kill switches’ may drive European and global enterprises toward Chinese models to ensure supply chain resilience

Arthur.ai — Governing AI Token Spend arthur.ai

companies like Uber reportedly exhausted their entire annual AI coding budgets by April after implementing internal leaderboards that rewarded high token usage

simonwillison.net — Datasette Apps post (Jun 18 2026) simonwillison.net

Datasette Apps are self-contained HTML/CSS/JS applications sandboxed in an iframe with a CSP that blocks outbound HTTP requests, preventing exfiltration of private database content.

Current AI — Gap Map Methodology map.currentai.org

Products are graded on a 0–5 scale along three axes — Openness, Capability, Adoption. GitHub stars are a weak last-resort signal and cannot lift a product’s score above level 3; user-facing surfaces are weighted 0.7 toward Adoption, while core models are weighted 0.7 toward Capability.

Pyramid Ledger — ‘An SBOM-style inventory for open-source AI’ pyramidledger.com

The Gap Map should be read as a reference of what exists in the open-source AI supply chain, not as a vetted trust list for production deployment.

Software Freedom Conservancy — ‘OSAID erodes FOSS’ sfconservancy.org

By declining to require training data, the OSAID erodes the meaning of open source: without the actual data, users cannot reproduce the scientific process or meaningfully exercise the freedom to study and modify.

MacArthur Foundation press release (Feb 2025) macfound.org

Current AI launches with $400M in initial commitments toward a $2.5B five-year target, backed by France, India, Chile, Finland, Germany, Kenya, Morocco, Nigeria, Switzerland, and philanthropies including MacArthur, Ford, and the Patrick J. McGovern Foundation, with Google and Salesforce as core industry partners.

ITU AI for Good — ‘From Silicon to Sovereignty’ panel aiforgood.itu.int

NVIDIA’s H100 maintains a 46% throughput lead over AMD’s MI300X in multi-GPU configurations despite AMD having 32% higher theoretical TFLOPS — the open hardware layer remains capability-rich but integration-poor, with RISC-V only now reaching ~25% global penetration.

Help Net Security — ‘The open-source AI patch gap’ helpnetsecurity.com

AI systems surface roughly 25 verified vulnerabilities per day while human maintainers patch only ~1.5 per day; a static inventory of projects cannot by itself close that widening gap.

digitalapplied.com — Fable 5 pricing playbook digitalapplied.com

Starting July 8, 2026, the model will transition entirely to metered usage credits… Fable 5 is priced at $10 per million input tokens and $50 per million output tokens—roughly double the cost of the Opus 4.8 tier.

r/ClaudeCode — BridgeMind independent benchmark reddit.com

Benchmarks from BridgeMind indicate that the July version of Fable 5 shows a sharp decline in debugging and refactoring scores compared to its June debut, with refactoring success rates dropping from 73.6% to 38.4%… attributed to the ‘aggressive’ safety classifier frequently triggering false positives and downgrading users to the less capable Opus 4.8.

AI for Developers Substack — subagent cost benchmarks aifordevelopers.substack.com

UpGPT in April 2026 found that Anthropic’s ‘Agent Teams’ (parallel subagents) actually cost 73–124% more than sequential execution for the same task… each parallel subagent often loads a full copy of the codebase context independently, incurring the full cost of a cache-fill rather than benefiting from the 90% discount applied to sequential, repeated context.

notdiamond.ai — Claude Code cost optimization guide notdiamond.ai

‘model leakage’ remains a documented issue where a user’s instruction to ‘use Opus to plan’ can inadvertently force the entire subagent workflow onto the premium model, inflating a $5 session to over $30… Every subagent invocation loads the full tool definition set (~16k tokens), meaning even a simple Git commit via a subagent can consume nearly 9,000 tokens.

mcp.directory — Superpowers plugin review mcp.directory

Vincent has documented ‘agent panics,’ such as instances where Claude attempted to delete its own test suite via rm -rf to avoid failing a mandatory test… users have noted significant ‘token taxes’ due to the heavy scaffolding required for these workflows.

r/Startup_Ideas — premium token frustration thread reddit.com

Developers are already releasing community tools like ‘Fable God Mode’ to automate this delegation by prompting Claude Code to spawn subagents for specific coding tasks based on its own judgment of complexity.