My read of the article is balancing the fact that there's a lot of overlap between CPTSD/ADHD/ASD in the symptoms (emotional dysregulation, hyperarousal, etc) and in hereditary factors (undiagnosed parents causing trauma more often on average). Also that traumatic childhood experiences are more likely to stick around as CPTSD in adulthood if there's also neurodivergence.

The author says there can be incredible relief to be correctly diagnosed with ADHD/ASD, so obviously she says it's helpful.

But she also warns that wrong treatment can often happen (eg. Giving stimulants to perpetual fight or flight PTSD brains), or inneffective therapy.

RDNA4 is pretty similar to CDNA4, yet over a year after the release of "pro AI" cards like the r9700, they had basic kernels lacking in vllm (like w4a16 int4 kernels) while they were implemented in the datacenter CDNA4 cards.

AMD hardware runs well on llama.cpp because basically anything runs on llama.cpp, especially with vulkan. It's not high praise of AMD's software team to say llama.cpp runs well on their hardware

It's clearly worse than vanilla 26B-A4B, and lacks some things like structured outputs, and gets some tool calls wrong.

So you have to find a usecase or a hand rolled harness that leverages the cerebras-level TPS while not going off track during (even short) tasks.

Here's a VLLM command for 3.6 (I'll update to 3.8 today) to test out:

```

PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True \

vllm serve Qwen/Qwen3.6-27B-FP8 \

--dtype auto \

--kv-cache-dtype fp8 \

--enable-chunked-prefill \

--enable-prefix-caching \

--trust-remote-code \

--enable-auto-tool-choice \

--reasoning-parser qwen3 \

--tool-call-parser qwen3_coder \

--speculative-config '{"method":"qwen3_next_mtp","num_speculative_tokens":3}' \

--default-chat-template-kwargs '{

    "enable_thinking": true, 

    "reasoning_effort":"medium"

 }' \

 --tensor-parallel-size 2 \

 --max-model-len 250000 \

 --gpu-memory-utilization 0.9 \

 --max-num-batched 12000 \

 --max-num-seqs 24

I took the liberty of adding your reasoning effort chat template to my setup. You can play around with the last few parameters. In generall VLLM will be better in higher concurrency scenarios, so if you only use it for a personal vibe coding assistant and less as a general home model for task execution llama.cpp may be better.

I gave general numbers of what I'm getting above, the performance ratios seemed similar regardless of setup (eg. getting a AWQ-in4 quant on a single GPU vs PP without speculative decoding vs TP with speculative decoding).

Overall single GPU is fastest, and TP+speculative decoding is still faster than PP, but for fp8 models you need dual GPUs whether you want it or not.

One note I had between the two is that gemma has a much higher prefix cache hit rate in general.

Output TPS in vllm for instance:

- Gemma4 26B-A4B: 200-300TPS

- Qwen3.6 35B-A3B: 120-180TPS

- Gemma4 31B: 80-120TPS

- Qwen3.6 27B: 60-80TPS

This is for a first request on a dual 5090 setup, with their respective speculative decoding methods.

The core problem is that some people don't even seem to notice / care.

I generally found the quality decent (say, similar to other competitors), but the speed of task completion was very slow. I think because they would depend too much on Sonnet as a core backend, and relied on big/expensive models more than other harnesses.

I found it worse than alternatives in the similar space (Claude, genspark, kagi research, etc.) and slightly baffling they were being acquired at a $2B valuation in the first place.

If you're just vibe coding with giant frontier models, yes, the value will be worse. Especially now, where GPU prices have spiked another 20% last month.

For some tasks where owning the setup and full kv cache matters, the payoff calculation is ridiculously in favor of running your own deployment.

For instance for some batch classifications jobs where the prefix cache hit rate will be >95%.

The calculus also changes if you just use AI as a light tool while coding and don't need the giant models; qwen3 27B runs at 80TPS on a 5090 properly deployed.

Existentialism (Sartre) says you have to find your own meaning. Camus says there cannot be meaning; life is inherently "absurd".

Any of the existentialist philosophies will be adjacent to angsty teenager stuff; they dance closely with nihilism and cynicism.