John Heaton

So many un-answered questions

[John Heaton @johnheaton]

🚨🚨 Alert: A Rhode Island man set a new world record after presenting a 3,156-pound pumpkin at the Southern New England Giant Pumpkin Weigh-Off in Warren Saturday morning.
The pumpkin, which belongs to Coventry resident Ron Wallace, broke the previous world record by nearly 300 pounds, according to event scale weigher John Russo.

Wallace has previously set multiple world records in the field of pumpkin-growing. He became the first person to grow a pumpkin weighing over one ton in 2012, and set another record in 2019 with a 2,114-pound pumpkin.

[John Heaton @johnheaton]

@JerryBeller1 @jun_song I get 20 t/s using oMLX

[John Heaton @johnheaton]

“Humans are primates living in a cave… deeply scared of what we don’t know.”

This explains the person driving their own car with a mask on...

[John Heaton @johnheaton]

@herbertong How many wives does your bot have?

[John Heaton @johnheaton]

Notice that conversations around Hermes memory have disappeared... i guess its solved?

[John Heaton @johnheaton]

when a stated "value" (save the planet) is overruled by a feeling about a person (hate Elon), the value was never load-bearing — the loyalty was

That's "propaganda susceptibility" in its purest form, and it's observable, which makes it the best diagnostic

[John Heaton @johnheaton]

🚨 PICKLE ALERT 🚨

Trader Joe’s just ruined their Kosher Dill Pickles.
Switched from tasty German cucumbers to French ones.
Texture’s off. Flavor’s off. I’m personally offended.

Anyone else taste the betrayal? 🥒💔

[John Heaton @johnheaton]

Nobody needs another flashy AI demo.

They need someone who can fix “why is my printer broken” and “why is my Wi‑Fi so bad.”

Those tiny, annoying problems are where a local agent earns its keep.

What’s the dumbest tech issue that still wastes your time?

[Whole Mars Catalog @wholemars]

Working on solving AI alignment. Will report back with the answer

[thehype. @thehypedotnews]

qwen 3.8 max vs deepseek v4 flash 0731 vs kimi k3 vs gpt 5.6 sol – on rubik's cube and chess

four frontier models built a rubik's cube stand and solved it, then built a chess board and played claude opus 5 on it

the setup: @nousresearch's hermes agent cli on @openrouter

tasks:

1. cube – build a 3d rubik's cube with a cli and a @threejs viewer, then solve an identical scrambled position on your own stand

2. chess – build a 3d chess stand, then play white against claude opus 5 as black, live, one move at a time. no engine, no solver, no opening book on either side. stockfish depth 14 grades every chess ply afterwards; neither player sees the score

models: @deepseek_ai v4 flash 0731, @openai gpt-5.6 sol, @kimi_moonshot kimi k3, @alibaba_qwen qwen 3.8 max

gpt-5.6 sol and deepseek v4 flash solved their cubes – sol in 24 moves and seventeen seconds, deepseek in 32. qwen and kimi never got there, giving up at 96 and 207 moves

then all four built chess stands and played white against claude opus 5 on them, and all four resigned: deepseek on move 13, sol on 19, kimi on 21, qwen holding out longest at 29

- build time, both stands
#1 gpt-5.6 sol – 16m 43s
#2 deepseek v4 flash – 97m 39s
#3 kimi k3 – 166m 09s
#4 qwen 3.8 max – 215m 08s

- build attempts before a working stand
#1 gpt-5.6 sol – 3
#2 qwen 3.8 max – 4
#3 kimi k3 – 4
#4 deepseek v4 flash – 5

- total tokens
#1 gpt-5.6 sol – 6,713,754
#2 qwen 3.8 max – 17,272,507
#3 kimi k3 – 22,427,504
#4 deepseek v4 flash – 27,417,442

- total price
#1 deepseek v4 flash – $0.557
#2 gpt-5.6 sol – $6.319
#3 qwen 3.8 max – $10.270
#4 kimi k3 – $16.667

observations:

• deepseek v4 flash is the cheapest model here by a margin nobody else is near, and it got there while being the least efficient of the four. it burned 27.4m tokens – more than anyone, 5m more than kimi – and still finished both benchmarks for $0.557. that is $0.02 per million tokens against kimi's $0.74. it also needed the most passes to produce working stands, five, and that did not matter: all five deepseek passes together cost a thirtieth of kimi's two

• so what deepseek cannot do is get it right the first time. what it can do is get it right the fifth time, for half a dollar. that is a different thing to be buying – not a good first draft, but the option to keep asking

• gpt-5.6 sol is the opposite profile and the strongest of the four on pure efficiency. 16m 43s to build both stands, 6.7m tokens, three passes – under 40% of the next lowest token count and a quarter of deepseek's, on an eighth of qwen's clock. it also solved the cube fastest of anyone, 24 moves in seventeen seconds. sol is what you reach for when you want the answer now and can absorb $0.94 per million

• sol's weakness is in what it does not check. its chess viewer deleted the capturing piece instead of the captured one, so pieces disappeared off the board mid-game – a defect the fifty-cent deepseek stand did not have. fast and terse turns out to be the same dial as fast and unverified

• qwen 3.8 max is not the cheap open-weights option it gets treated as. $10.270 across the two benchmarks, second most expensive of the four, 18x deepseek, and by a distance the slowest – 215 minutes of build time, nearly thirteen times sol's. what the money buys is judgment: it played eighteen moves without a single error worth a hundredth of a pawn, then made exactly one bad move in the whole game, and averaged 44.6 centipawns lost across the longest game any of the four managed. it also could not solve a rubik's cube in 96 tries

• kimi k3 is the one line with no reading that flatters it. most expensive at $16.667, last on the cube at 207 moves, last at chess at 478 centipawns lost per move. it is also the model that verified hardest – on the cube it wrote its own integrity check instead of trusting its output. that makes the result worse rather than better: the checking was real, and the reasoning underneath it still was not

follow @thehypedotnews for 24/7 ai news, analysis and breakdowns

[John Heaton @johnheaton]

@RetroBayArea Went to the original Mountain View High School (on Castro Street in downtown Mountain View) which closed in 1981 and Awalt High Schoo was renamed Mountain View High School. It kept its Spartan mascot and colors. So theres that..

[John Heaton @johnheaton]

@JCChristopher