Jeff Noël | OSCP retweeted
This is AI companies slowing down in September:
• Fable 5.1
• Muse Spark
• GPT-6 Astra
• Grok Bot · Muse
• Grok 4.7 · Opus 5.5
• Dots · Space · GPT-6.1 Sol
• Sonnet 5.5 · Gemini 4 Argon
I wonder how acceleration looks like.
This is not perfect. Yet even an imperfect, AI movie of Arthas can give me actual shivers. Insane that Blizzard never made an actual movie out of Arthas' story. youtu.be/PYKDyXnJl5E
Jeff Noël | OSCP retweeted
What 🫣🫣
try.cloudflare.com/
What a time to be alive man….
Why is there no benchmarks testing OpenAI's Pro thinking level versus Max/Extra High?
I assume the cost would be through the roof, but I'd be curious to see the intelligence difference.
@thsottiaux
Jeff Noël | OSCP retweeted
CancerBench: the frontier model cancer cure benchmark.
AI lab CEOs keep talking about curing cancer, so I made a benchmark.
One metric: how many types of cancer has your model cured?
All models are currently tied at zero.
It’s time to hillclimb!
cancerbench.com
The amount of emdash in X comments is unsettling. Are you guys all farming with bots all day long?
What about interactions?
The next big step IMO is getting Fable 5.1 or even GPT-6 Astra level of cognition and intelligence with actual usage.
The models are great, but the current 20x subscriptions weekly limits on both get completely used in a SINGLE day.
Make it make sense.
Fable 5.1 is insane, but it's eating through usage limits like crazy. Roughly ~1 hour in a 5 hours session post-reset, nothing fancy 3-5 subagents in a regular workflow, on Fable 5.1 XHigh, then lowered to Medium with Opus (ugh) and Sonnet subagents:
I wonder if @AnthropicAI told their employees to go silent on X and ignore everyone. Clearly they don't care about the feedback on here since Opus 5 release and the recent outages.
While everyone's asking for whatever, all I want to know is, were the recent breakthroughs and improvements thanks to 5.7, 6.0, or a new mythos-class model?
@thsottiaux
Anthropic better drop some goodies soon or many $200 subs will be moving away from them. While they delivered a terrible AX (agentic experience) model through Opus 5, @OpenAI @OpenAIDevs has been improving very quickly and they're actively interacting with the community as well.
Jeff Noël | OSCP retweeted
End of an era… 💔 After 14 years and 1.7 billion views, YouTube removed the original Rick Roll. 😢
youtu.be/dQw4w9WgXcQ?si=c9DW…
Let your friends know.
People should code more tools oriented towards agents.
Currently, most agents are using tools designed for humans as well (grep, rg, etc.)
Anyone has been vibecoding/researching stuff meant and optimized for AI explicitely?
It is deliberately conservative:
• dry-run by default
• local transcript parsing
• secret redaction
• compact digests instead of raw 40MB transcripts
• no source-code edits
• no autonomous skill rewrites
• restricted headless permissions
I also added a pre-registered 14-day kill test.
Re-derivation must decrease.
Rule precision must stay ≥80%.
Rules don't make sense if they're useless.
The time saved must justify the cost.
If those conditions fail, the experiment stops.
No moving the goalposts.
nightly-consolidation is open source and MIT licensed.
No fine-tuning. No vector database. No separate memory service.
Just Claude Code, Python, local transcripts and durable evidence-backed rules.
github.com/JF10R/nightly-con…
Claude Code can repeat the same mistake for months.
I analyzed 800+ real sessions. 73% hit an error signature already seen before.
The agent was working every day, but its experience was not compounding.
So I built nightly-consolidation. 🧵










