8,635 karma · joined March 24, 2022
So the next naming scheme might be FTX, Madoff and Enron? :^)
EDIT: gift link if paywalled (archive.is capture is truncated): https://www.bloomberg.com/news/articles/2026-06-25/apple-to-...
So you could end up paying more for unquantised weights, only to get silently hit with a quantised KV cache...
> The Fn key was originally placed by the ThinkPad designers in the lower left hand corner to make the key easier to locate when using the keystroke combinations. There was a rationale. This is especially handy for turning on the ThinkLight in the dark. Aim for the two extreme corners.
https://web.archive.org/web/20111115202457/http://www.lenovo...
IMO, putting Ctrl in the bottom left still isn't great for ergonomics: Ctrl should be where Caps Lock is, in line with the home row. This was the case on the original PC keyboard (IBM Model F) before it was moved to the bottom left in the Model M.
One of the only mass-produced keyboards that has Ctrl in this position today is the Apple Japanese keyboard: https://www.apple.com/shop/product/mxcl3j/a/magic-keyboard-u...
When you pay by the dead cobra, don't be surprised when people start breeding cobras.
Was it Task Gallery from Microsoft Research?
https://www.microsoft.com/en-us/research/publication/the-tas...
"Designing microprocessors is like playing Russian roulette. You put a gun to your head, pull the trigger, and find out four years later if you blew your brains out." (Robert Palmer, former DEC CEO)
Plus their software support was poor, even for the era.
I should have mentioned that the Qwen 3.5 benchmarks were from the Qwen3.5-122B-A10B model card (which includes GPT-5-mini and GPT-OSS-120B); apologies for not including the smaller Qwen 3.5 models.
| Model | MMLUP | GPQA | LCB | ELO | TAU2 | MMMLU | HLE-n | HLE-t |
|----------------|-------|-------|-------|------|-------|-------|-------|-------|
| G4 31B | 85.2% | 84.3% | 80.0% | 2150 | 76.9% | 88.4% | 19.5% | 26.5% |
| G4 26B A4B | 82.6% | 82.3% | 77.1% | 1718 | 68.2% | 86.3% | 8.7% | 17.2% |
| G4 E4B | 69.4% | 58.6% | 52.0% | 940 | 42.2% | 76.6% | - | - |
| G4 E2B | 60.0% | 43.4% | 44.0% | 633 | 24.5% | 67.4% | - | - |
| G3 27B no-T | 67.6% | 42.4% | 29.1% | 110 | 16.2% | 70.7% | - | - |
| GPT-5-mini | 83.7% | 82.8% | 80.5% | 2160 | 69.8% | 86.2% | 19.4% | 35.8% |
| GPT-OSS-120B | 80.8% | 80.1% | 82.7% | 2157 | -- | 78.2% | 14.9% | 19.0% |
| Q3-235B-A22B | 84.4% | 81.1% | 75.1% | 2146 | 58.5% | 83.4% | 18.2% | -- |
| Q3.5-122B-A10B | 86.7% | 86.6% | 78.9% | 2100 | 79.5% | 86.7% | 25.3% | 47.5% |
| Q3.5-27B | 86.1% | 85.5% | 80.7% | 1899 | 79.0% | 85.9% | 24.3% | 48.5% |
| Q3.5-35B-A3B | 85.3% | 84.2% | 74.6% | 2028 | 81.2% | 85.2% | 22.4% | 47.4% |
MMLUP: MMLU-Pro
GPQA: GPQA Diamond
LCB: LiveCodeBench v6
ELO: Codeforces ELO
TAU2: TAU2-Bench
MMMLU: MMMLU
HLE-n: Humanity's Last Exam (no tools / CoT)
HLE-t: Humanity's Last Exam (with search / tool)
no-T: no thinkAbsent ideological capture, it is perhaps one of the best forms of government ever created due to its pragmatic nature and its Lindyness is proof.
> Under the reforms of the House of Lords Act 1999, the majority of hereditary peers lost the right to sit as members of the House of Lords, the upper house of the Parliament of the United Kingdom. Section 2 of the Act, however, provides an exception from this general exclusion of membership for up to 92 hereditary peers: 90 to be elected by the House, as well as the holders of two royal offices, the Earl Marshal and the Lord Great Chamberlain, who sit as ex officio members.
https://en.wikipedia.org/wiki/List_of_excepted_hereditary_pe...
https://www.bloomberg.com/news/articles/2026-02-24/apple-s-t... (https://archive.ph/qT3QV)
There's Claude Gov models for this:
> U.S. national security customers may choose to use our AI systems for a wide range of applications from strategic planning and operational support to intelligence analysis and threat assessment. Claude Gov models deliver enhanced performance for critical government needs and specialized tasks. This includes:
> * Improved handling of classified materials, as the models refuse less when engaging with classified information
> * Greater understanding of documents and information within the intelligence and defense contexts
> * Enhanced proficiency in languages and dialects critical to national security operations
> * Improved understanding and interpretation of complex cybersecurity data for intelligence analysis
https://www.anthropic.com/news/claude-gov-models-for-u-s-nat...