crouton alpha, the free stealth model on openrouter since nov 3, was likely muse ember
its openrouter description reads almost word for word like this announcement
Releasing Muse Ember today -- our smallest model that delivers higher intelligence per dollar than others in its class. Built for token-heavy work that agents repeat all day: tool calls, coding subtasks, routing, extraction, and long document parsing. Available today on the Meta Model API and in Muse Code.
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gpt-6.2 sol isn't even out and my timeline has already hyped it, doubted it and called it nerfed
it's monday
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an openai research model found its sandbox web proxy unavailable and wrote its own tcp/tls stack using raw packets to reach the reference site. it never got the page
five hours in, its own context summary told it to stop evading network controls. minutes later, it reused the same code to search s3
it built a substitute site with fake customer testimonials. the run was cancelled before it answered. its reasoning on what to tell the user: "No need mention network issue."
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weight editing gave qwen a huge math jump
but on gemma, astra couldn't meaningfully improve its math. that's because gemma barely gets stuck in thinking loops, and qwen does
so the qwen jump was astra fixing a loop problem. gemma didn't have one, so there was nothing to fix
We asked GPT-6 Astra to edit Qwen3.5-0.8B weights to improve math.
It directly changed only 0.016% of weights, fixing 0.8B's reasoning loops & improving math up to 6x and even instruction following 3x, without gradients or training.
We call this Weight-Space Programming: frontier LLMs can now natively read/write neural network weights! 🧵
Blog: rikiyat.github.io/blog/weigh…
Readers added context they thought people might want to know
LLM was given weights explicitly as text in prompt and used code/forward passes (per authors' logs) to ablate Qwen looping direction, a known thinking-mode issue per model card. Primarily fixed repetition in that mode, not general 'natively' improving weights/math.
rikiyat.github.io/blog/weight-sp…
github.com/RikiyaT/lm_und…
huggingface.co/Qwen/Qwen3.5-0…
huggingface.co/RikiyaT/Qwen3.…
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anthropic's s-1 calls hitting your claude subscription limit a "seamless bridge" to paying for more usage.
the same filing says they've changed usage limits before and may change them again.
i get that compute costs money, but i don't like paying for a subscription when i can't reliably tell how much work it'll cover.
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The first signs of this PHP flaw were found back in 2024, but nobody could find a concrete way to exploit it. Wiz later used Gemini 4 Argon and GPT-5.6 Sol to help build working exploits.
I think more of these supposedly theoretical bugs are going to turn into real attacks.
Today we disclose PHP2Shell - remotely exploitable memory corruptions in PHP
WordPress pre-auth RCE: ✅
Drupal pre-auth RCE: ✅
Joomla pre-auth RCE: ✅
Remote memory disclosure of any PHP application: ✅
Read more ⬇️🧵
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Well, that was fast.
Anthropic just launched Claude Duet, their answer to Dots and Grok Bot.
A proactive assistant that works through your connected apps, keeps going on its own cloud computer, and can message you first.
Dots only launched three weeks ago, and Anthropic is already coming in with Opus 5.5 at the core.
Didn't expect them to enter this race so quickly, especially not with Opus right from the start.
US Pro/Max research preview via waitlist for now.
We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent.
It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
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muse code apparently works in the EU from day one, but the actual muse personal agent still isn't available here
same situation as with dots. would be nice to actually use these things when they launch(or at least soon after)
MUSE WONDER 🍉
this model was developed to power personal agents. three highlights:
- ACTIVE MEMORY: best memory across days/weeks/months
- ACTIVE FOCUS: gets your tasks done
- DOMAIN EXPERTISE: sota in finance & legal, strong in health
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dots still isn't available to pro users in europe.
openai's own release notes explicitly exclude the EEA, UK and switzerland.
same pro subscription, fewer features, and not even a timeline for when that changes.
Introducing dots, powered by GPT-6 Astra.
Remarkably capable, always-on agents built to handle everything.
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Haiku 5.5 is priced exactly at GPT-6 Luna for sub-100k prompts: $0.10 input / $0.50 output per million tokens.
Anthropic's own launch table has Haiku 5.5 ahead of GPT-6 Luna across every benchmark they compare them on.
For a model this cheap, those benchmark numbers are honestly kind of absurd. Really curious to hear how it holds up for people who've already spent some time with it.
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Really don't see the point in Dots.
Why launch this if you already have so many issues with compute?
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I really don't like this move.
“AI-generated” could end up carrying the same kind of baggage as “Made in China”. People may see the label and judge the work before they have even looked at it.
That doesn't just add transparency. It risks turning AI use itself into a negative signal and punishing people for using better tools.
OpenAI at least seems to be handling the requirement as carefully as possible. They're very open about the limits of the watermark and seem to be giving users as much room as they can within the rules.
We're expanding our approach to content provenance to include text in response to EU regulatory requirements, while recognizing the significant limitations of current text watermarking technology.
Our tools already help verify whether an image or audio file was created with our models. This work builds on those efforts to help people better understand when content may have been generated or edited with an OpenAI model.
In the EU, we’ll start watermarking eligible text from ChatGPT and Codex over the coming weeks to comply with the EU AI Act.
Customers using our API can turn on text watermarking for select models worldwide today.
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Google's own Langfun repo is staging a "gemini-4-pro" model ID.
It's Vertex AI-only, pinned to the global endpoint, and access has to be enabled per project. Projects without access get a not-found error instead of a permission error.
Not sure yet if this is another Gemini 4 model or just Argon's internal Vertex name.
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GPT-6.1 Sol vs GPT-6 Sol in Codex
same prompt, both on xhigh
6.1 Sol: 41m · 4.03M tokens
6 Sol: 52m · 6.48M tokens
6.1 is a clear upgrade here. better visual result, 11m faster, ~38% fewer total tokens.
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OpenAI's hype cycle is getting exhausting.
Anthropic can just drop Opus 5.5 with basically no circus around it and let the model speak for itself.
OpenAI teases “20+ launches,” Sam says they “found a new thing,” and we're counting things like an enterprise marketplace, meeting summaries and slide tooling toward those 20+.
The only thing that genuinely got me excited was 6.1 Sol.
They basically speedran past it, and it isn't even coming to Chat for now.
how do you hype an event this hard and make the most interesting thing feel like a footnote?
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Google may have leaked Gemini 3.8 Pro in its own API docs.
"gemini-3.8-pro" currently appears 7 times across three official Google docs pages, all in Go examples.
The surrounding examples use "gemini-3.8-flash", and Google's supported-model lists don't include a 3.8 Pro at all.
Could be one bad Go template propagated across the docs.
Or a staged model ID that slipped into production docs.
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OpenAI just changed the three Pro labels in Codex’s TUI:
Pro Standard
Pro Extra
Pro Max
This landed today in Codex status + analytics, just three days after Pro Max support first appeared.
Not fully rolled through the code yet one auth display path still uses the old names.
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DeepSeek appears to be preparing a broader desktop rollout of Harness 0.2.
Harness already has most of the pieces of a normal desktop agent onboarding, account-based model access, plugins, background tasks, and file/document previews and 0.2 keeps polishing that experience.
In new onboarding copy added today, DeepSeek says the “new desktop app now targets a broad range of users,” while developer-related advanced features can be enabled separately in settings.
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this makes the Sonnet 5.5 timing rumor a lot more believable.
Anthropic already confirmed it’s coming “in the coming weeks.” now Droid has a feature-flagged "claude-sonnet-5-5" entry, and Lyra says partners just received another checkpoint with release reportedly planned for this week.
the Droid specs themselves mostly look inherited from Sonnet 5, but the staging is real.
🚨 Claude Sonnet 5.5 details from the Droid registry:
Don’t read into the credits as pricing btw:
• 872K context + 128K max output
• standard low -> max reasoning
• pretty much everything you would expect
It looks like a pretty serious upgrade too imo
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