Partial day — headline is the last complete day (2026-10-13).
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tracked since 2026-09-28T05:55:23.930137+00:00
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2026-09-27
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derived from
Opus 5.5opus
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2026-09-27 → 2026-10-15
· 511 matching posts
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twitteralohaproxy4hneutral
Gemini 4 Argon is INSANE
Tested it against Claude Opus 5.5 with the exact same prompt.
The results?
Argon delivered results that genuinely surprised me at 1/14th of the price. https://t.co/17udgQaZlZGemini 4 Argon is INSANE
Tested it against Claude Opus 5.5 with the exact same prompt.
The results?
Argon delivered results that genuinely surprised me at 1/14th of the price. https://t.co/17udgQaZlZ
Feels like it might be months until a model can actually beat Opus 5.5 (on price + performance + capability)Feels like it might be months until a model can actually beat Opus 5.5 (on price + performance + capability)
Opus 5.5:
"GLM is fine as the test model, but it loops when it has to drive a 28-hour, multi-stage build with its own scorer. For the next round I'd keep GLM as the model being tested and have Opus run the build."Opus 5.5:
"GLM is fine as the test model, but it loops when it has to drive a 28-hour, multi-stage build with its own scorer. For the next round I'd keep GLM as the model being tested and have Opus run the build."
Anthropic engineer:
"You're not supposed to prompt Opus 5.5
You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built such systems"
In 30 minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run.
Thi…Anthropic engineer:
"You're not supposed to prompt Opus 5.5
You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built such systems"
In 30 minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run.
This beats any $1000-$2000 course on agents I've seen.
Watch it, then read the full guide for Opus 5.5 loop + jev engineering.
I still absolutely love Opus 5.5. Despite having 6 accounts, it's not looking good for my Claude limits right now 💀 https://t.co/wQFGMwt6cdI still absolutely love Opus 5.5. Despite having 6 accounts, it's not looking good for my Claude limits right now 💀 https://t.co/wQFGMwt6cd
The Claude Code desktop app is now better than Herdr if you're only using Opus 5.5.
I'm sorry. I wanted Herdr to win, too. But it's time to use the same tool everyone else is using. And they're using it for a very simple reason: it's the best.The Claude Code desktop app is now better than Herdr if you're only using Opus 5.5.
I'm sorry. I wanted Herdr to win, too. But it's time to use the same tool everyone else is using. And they're using it for a very simple reason: it's the best.
why pay a model when you can prompt one
this AI cute girl made with GPT Opus 5.5 and Seedance got 4.5M views and $14,733 on one outfit test
> make one character sheet in Claude, 10 angles like below
> put her in whatever outfit you need to sell
> walk her down a real street with Seedance 2.5
> caption it like a shoot…why pay a model when you can prompt one
this AI cute girl made with GPT Opus 5.5 and Seedance got 4.5M views and $14,733 on one outfit test
> make one character sheet in Claude, 10 angles like below
> put her in whatever outfit you need to sell
> walk her down a real street with Seedance 2.5
> caption it like a shoot, "fashion test"
331k followers, zero agency fees, zero reshoots
and u still pay for real girls?
My current setup:
- Herdr
- Claude Claude (CLI)
- Ponytail (Skill)
- Caveman. (Skill only)
- Headroom (Proxy)
- Context Mode (MCP)
My crew:
- Opus 5.5 Medium (Planner)
- Sonnet 5.5 Medium (Workers)
- Opus 5.5 Medium (Reviewer)
I usually forget that a 5h window even exists. 🤷🏻♂️My current setup:
- Herdr
- Claude Claude (CLI)
- Ponytail (Skill)
- Caveman. (Skill only)
- Headroom (Proxy)
- Context Mode (MCP)
My crew:
- Opus 5.5 Medium (Planner)
- Sonnet 5.5 Medium (Workers)
- Opus 5.5 Medium (Reviewer)
I usually forget that a 5h window even exists. 🤷🏻♂️
Zuckerberg talked to every AI lab leader before picking Alexandr Wang.
Meta even tried to buy Ilya Sutskever’s SSI, Mira Murati’s Thinking Machines and Perplexity.
His words: “I talked to all the leaders of all the labs, all the heads of research, and I was like, no, Alex is the guy. He’s the fucking guy.”
Even Zuck…Zuckerberg talked to every AI lab leader before picking Alexandr Wang.
Meta even tried to buy Ilya Sutskever’s SSI, Mira Murati’s Thinking Machines and Perplexity.
His words: “I talked to all the leaders of all the labs, all the heads of research, and I was like, no, Alex is the guy. He’s the fucking guy.”
Even Zuck admits people doubted it. It looked like “the social media guy is working with the data guy.”
It started with one 44-minute call. Two days later, Wang sent him a long note on what he would do in Zuck’s seat. Point one: Meta didn’t need a lot of people. Talent density was the thing that mattered.
Wang dropped out of MIT after a year, started Scale AI at 19 and became the youngest self-made billionaire at 24. In 2025 Meta put $14.3 billion into Scale for a 49% stake and brought him in to run Meta Superintelligence Labs.
This week that lab shipped Muse Wonder Full. The Full version scores 56 on the Artificial Analysis Intelligence Index. Only Claude Opus 5.5 scores higher. https://t.co/THtp9BTRwX
THIS IS F*CKING BRILLIANT. Anthropic’s docs describe one of the smartest ways to run Opus
three models work on one task and each does only the part it’s cheapest at. start Claude Code like this:
claude -> model sonnet -> advisor opus
you stop paying Opus prices for work that doesn’t need Opus
> Sonnet runs the sess…THIS IS F*CKING BRILLIANT. Anthropic’s docs describe one of the smartest ways to run Opus
three models work on one task and each does only the part it’s cheapest at. start Claude Code like this:
claude -> model sonnet -> advisor opus
you stop paying Opus prices for work that doesn’t need Opus
> Sonnet runs the session and edits the code
> Haiku 5.5 searches the repo and docs, at up to 40x less per token than Opus 5.5
> Opus waits as the advisor and reads the whole session, tool calls included
Claude usually calls Opus at three points:
> before it locks a plan
> when the same error comes back
> right before it says it’s done
Sonnet drives. Haiku scouts. Opus signs off
and if you go one step lower, most of an agent’s day is tiny choices like picking a file or a tool, or deciding whether to retry. Jev takes those first, so Sonnet and Opus only see the moments that are really open
the whole setup
Sonnet runs the main session
Explore on Haiku 5.5 searches and pulls docs, read-only
Opus on call as the advisor
give Claude Code this setup and the prompt below ↓
“Set up my Claude Code exactly like this:
Main model Sonnet, advisor Opus, saved as advisorModel in my settings.
One read-only subagent named exactly Explore, on claude-haiku-5-5, to replace the built-in one.
One line in CLAUDE.md: ask the advisor before locking a plan, after the same error twice, and before calling a task done, not more often.
Check what could turn the advisor off (CLAUDE_CODE_DISABLE_ADVISOR_TOOL, DISABLE_TELEMETRY) and only report it.
Show every change as a diff first. Don’t edit anything until I say go.”
https://t.co/xpEE0hFQ6d
before you turn it on:
every advisor call re-reads the whole transcript with no cache. on a 200k session that’s about $0.80 in input, against $0.04 for a normal request. keep it to a few calls
the built-in Explore agent runs on your main model unless a subagent is named exactly Explore. any other name does nothing
turning the advisor on or off keeps y
Voici un compte full IA qui fait du motion design avec Opus 5.5
83k abos en 1 mois, 200k vues par vidéo par jour
Super basique https://t.co/boVpNUQyNTVoici un compte full IA qui fait du motion design avec Opus 5.5
83k abos en 1 mois, 200k vues par vidéo par jour
Super basique https://t.co/boVpNUQyNT
WEEK 1:
Your agent runs exactly like before.
Jev answers every decision silently.
You log both answers.
WEEK 4:
Jev makes the small calls.
Opus 5.5 only does the hard thinking.
Your bill is a third of what it was.
No risky switch.
No big rewrite.
Just a decision layer, rolled out slowly.
Full plan below 👇WEEK 1:
Your agent runs exactly like before.
Jev answers every decision silently.
You log both answers.
WEEK 4:
Jev makes the small calls.
Opus 5.5 only does the hard thinking.
Your bill is a third of what it was.
No risky switch.
No big rewrite.
Just a decision layer, rolled out slowly.
Full plan below 👇
Muse Wonder & Wonder FULL by @AIatMeta on KingBench 4
Ranking:
Opus 5.5 — 57.8%
GPT-6 Astra — 56.5%
GPT-6.1 Sol — 55.0%
Haiku 5.5 — 54.2%
Muse Wonder Full 1.0 — 53.0%
Muse Wonder 1.0 and GLM-5.3 — 45.8% each, tied
The models is not Opus 5.5 Level and is not token efficient at all. There are more downsides to the mode…Muse Wonder & Wonder FULL by @AIatMeta on KingBench 4
Ranking:
Opus 5.5 — 57.8%
GPT-6 Astra — 56.5%
GPT-6.1 Sol — 55.0%
Haiku 5.5 — 54.2%
Muse Wonder Full 1.0 — 53.0%
Muse Wonder 1.0 and GLM-5.3 — 45.8% each, tied
The models is not Opus 5.5 Level and is not token efficient at all. There are more downsides to the model than there are upsides.
GPT-6.1 Sol still remains the king at being token efficient.
Sol costs about $1 per task,
Haiku costs about $1.23 per task,
Wonder costs about $1.75 per task.
Wonder Full costs about $2.87 per task
Astra costs $6.6 and Opus 5.5 - $7.5
This price could have been very justified if the performance was on level with Opus or Astra but it is below Sol and Haiku. Wonder is on GLM-5.3 level while Wonderfull is short of Sol & Haiku.
Wonder is really bad at complex prompts, developing fully featured apps unattended.
The bench for context tests for 6 prompts that involve building a docker clone (VM), GBA, DS Emulation, Room Desigining Software, Pokemon Red reconstruction, QMK/VIA Compatible Keyboard Configurator and so on. The model is not acing any of these tests. The full test results will be available on the YT Video: https://t.co/Z1XMPnAbIL
🚨do you understand what Zuckerberg just admitted about Meta's first frontier model.
Zuckerberg: "We're gonna write this check for like $100 billion, $200 billion. I'm like, Alex, are you sure this is going to work?"
Alexandr Wang: "…certainly not clear at all that it was going to work."
it's called Muse Wonder.
her…🚨do you understand what Zuckerberg just admitted about Meta's first frontier model.
Zuckerberg: "We're gonna write this check for like $100 billion, $200 billion. I'm like, Alex, are you sure this is going to work?"
Alexandr Wang: "…certainly not clear at all that it was going to work."
it's called Muse Wonder.
here's the part nobody is talking about:
> Meta's own tests put it level with Fable 5.1 and GPT-6 Astra
> on MemoryBench it beats Fable, Opus and Astra
> $4 input, $20 output per million tokens, same tier as Opus 5.5
> trained at Prometheus, Meta's new data center in Ohio
> no independent benchmarks yet
$200 billion. one bet. and the guy signing the check wasn't sure it would work.
now we find out if it did.
watch the clip below ↓
I find Muse SO much more readable. Here are the outputs
1st is Muse
2nd is Opus
3rd is Sol https://t.co/2qiqnSXEF7I find Muse SO much more readable. Here are the outputs
1st is Muse
2nd is Opus
3rd is Sol https://t.co/2qiqnSXEF7
🚨 Muse Wonder VS Claude Opus 5.5
meta claims Muse Wonder outperforms models like Opus 5.5 and Fable 5.1, so i decided to put that claim to the test.
i gave Muse Wonder and Opus 5.5 the exact same prompt: build an animated Popeye website from scratch.
and here are the final results from both models.
which one won?🚨 Muse Wonder VS Claude Opus 5.5
meta claims Muse Wonder outperforms models like Opus 5.5 and Fable 5.1, so i decided to put that claim to the test.
i gave Muse Wonder and Opus 5.5 the exact same prompt: build an animated Popeye website from scratch.
and here are the final results from both models.
which one won?
Asked Opus 5.5, GPT-6.1 Sol, and Muse Wonder Full to fix a bug
Opus found the root cause and filed a pr
GPT-6.1 Sol asked a question, crashed from the async question tool interrupt, found the bug, fixed it, wrote 300 lines of tests, and explained it in impossible to understand terms.
Muse Wonder Full found a small P…Asked Opus 5.5, GPT-6.1 Sol, and Muse Wonder Full to fix a bug
Opus found the root cause and filed a pr
GPT-6.1 Sol asked a question, crashed from the async question tool interrupt, found the bug, fixed it, wrote 300 lines of tests, and explained it in impossible to understand terms.
Muse Wonder Full found a small PR someone else had filed and said "you should probably merge this instead"
I really like this model.
Built https://t.co/f4FdQZEozN with Claude Opus 5.5 👇
1. My character art
2. Tripo on fal turned it into 3D
3. Optimized for the web
4. Electricity in three.js shaders
5. No rig: Claude split him from the chair so he breathes, fidgets and reacts when you click https://t.co/Eq3246hRAEBuilt https://t.co/f4FdQZEozN with Claude Opus 5.5 👇
1. My character art
2. Tripo on fal turned it into 3D
3. Optimized for the web
4. Electricity in three.js shaders
5. No rig: Claude split him from the chair so he breathes, fidgets and reacts when you click https://t.co/Eq3246hRAE
> be Boris Cherny
> principal engineer at Meta
> wrote the O'Reilly book on TypeScript
> joins Anthropic
> builds a little terminal tool as a side project
> it becomes Claude Code
> half of Silicon Valley now codes through it
> leaves for Cursor
> comes back to Anthropic two weeks later
> new Opus drops
> everyone writ…> be Boris Cherny
> principal engineer at Meta
> wrote the O'Reilly book on TypeScript
> joins Anthropic
> builds a little terminal tool as a side project
> it becomes Claude Code
> half of Silicon Valley now codes through it
> leaves for Cursor
> comes back to Anthropic two weeks later
> new Opus drops
> everyone writes 2-page prompts
> Boris cuts most of the Claude Code system prompt
> says your old detailed prompts now work against the model
> suggests deleting your CLAUDE.md every few months just to see what it can do without it
> the guy who built the tool is prompting less than you
in 12 minutes he explains why.
watch it below ↓