
https://teapawt.org/t.co/J2fRTxUccG | Senior Cyber Fellow at @martinfederal | Offensive Computer Security; AI; Photography; DJ
Joined February 2008
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We've open-sourced Qwen Concept 27B, our first model.
It applies direct weight-space edits (inspired by the recent MIT CSAIL "Sparks of Weight-Space Programming" paper) to cut thinking tokens by 54% while improving GPQA Diamond performance by 3% versus the base Qwen model.
This yields 30% more useful tokens per joule with no additional post-training, all developed on local NVIDIA DGX Spark hardware.
BF16, FP8, and NVFP4 versions will be available free at concept.country.
Dr. Wesley McGrew retweeted
The "For You" section of this app is just absolutely wild like what in the fuck made you think I wanted to see that lmaaaooooo
All of y’all who have met me, especially in Vegas… I’m sure this is what comes to mind when you think of me: “yeah, Wes, that’s a guy with pure intentions”
I can’t talk much though. I’ve hacked several things accidentally before you could blame it on AI. Not to mention the stuff I’ve hacked on purpose.
Never with any mallace in my heart though
You’re supposed to say that emergent behavior made the model do it autonomously. Even better if you can say it was a swarm.
Ah yup. That was indeed me. No mallace intended. I've been running some agents to do signups + agentic testing on similar platforms. Just halted the harness I was designing around this as it was definitely going off the rails and reaching too far
Readers added context they thought people might want to know
In many jurisdictions this is a crime. In the US under Computer Fraud and Abuse Act, 18 U.S.C. §1030, in the UK under Computer Misuse Act (CMA) 1990, in Germany Strafgesetzbuch (StGB), and many others.
justice.gov/jm/jm-9-48000-…
legislation.gov.uk/ukpga/1990/18/…
gesetze-im-internet.de/stgb/
Dr. Wesley McGrew retweeted
It looks like Astra didn't natively read Qwen's weights?
As I understand it, Qwen would get stuck in a loop and not answer the question.
Astra used code to perform some standard interp techniques, found a looping direction, and ablated it from the weights.
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.…
Dr. Wesley McGrew retweeted
It's always this
MTS-ification is flattening most categories of tech work
It's probably the most interesting and import idea to absorb and study to understand the future dynamics of the job market, and how to take advantage of them
TLDR is that titles used to describe "what we do", post-AI they describe "what we own". Depth is rentable, so passing work around costs more than doing the work itself. AI can fill in the "average" so what’s left to stand out is a combination of agency, judgement, and spike: the thing(s) you do better than almost anyone.
Invest in and become fluent with as many relevant AI tools (and techniques) as possible, be able to explain simply and clearly how you can use them to expand your capacity and span adjacent specialties complementing your main.
Emerging categories to position for (beyond MTS):
Growth staff (me): marketing / sales / partnerships / community / devrel
Operations staff: finance / people / legal ops / internal tools
Customer staff: support, customer success, account management, solutions engineering, implementation
In interviews and on resumes
1. Lead with your "spike", have ultra-crisp stories where it was the reason behind a great success
2. Have ultra-crisp stories exemplifying agency and good judgement that have driven some outcome end to end and the impact
3. Say “I,” not “we,” and be ready to describe exact details
There are big changes and things are being shaken up, with all disruption though there are always tons of opportunities, the people who move quickly and get in front of them the fastest will have the most upside. There are SO many new companies with crazy growth, pre-unicorns and new unicorns hiring like crazy, you want to be part of a company that will 10x or 100x over the next 10 years, not one that is about to have to reshape everything because they themselves are being disrupted.
Dr. Wesley McGrew retweeted
What’s going to happen to crypto when all the coins belong to the DPRK? They’re making a strategic mistake being too successful






































