Babenko Nevynasetto

I argue with algorithms for a living.

[thehype. @thehypedotnews]

hy4 preview vs glm 5.3 vs qwen 3.8 max

hy4 shipped all three for $0.537 – 3.2x under qwen. glm broke the fewest times, 2 fixes against hy4's 5. qwen wrote the most code, burned the most tokens, and still ships one of its three builds broken

the setup: three prompts of ~600 lines each, one html file per build, everything procedural – no meshes, no image files, no libraries past @threejs

prompts:

1. the petronas twin towers in dawn mist
2. taipei 101 in a tropical rainstorm
3. the cn tower in heavy snow

each file carries the geometry, the weather, night lighting, five scripted camera shots, a capture mode and a self-check panel that prints its own numbers. run through @OpenRouter, one shot per model, no reference images – two of the three models have no vision at all

models: @TencentHunyuan hy4 preview, @Alibaba_Qwen qwen 3.8 max, @Zai_org glm 5.3

- total cost, three builds
#1 hy4 preview – $0.537
#2 glm 5.3 – $1.111
#3 qwen 3.8 max – $1.737

- wall clock, three builds
#1 glm 5.3 – 44m
#2 hy4 preview – 50m
#3 qwen 3.8 max – 102m

- output tokens
#1 hy4 preview – 186,635
#2 glm 5.3 – 231,481
#3 qwen 3.8 max – 248,655

- fixes needed to make it run
#1 glm 5.3 – 2
#2 qwen 3.8 max – 4
#3 hy4 preview – 5

- lines of code shipped
#1 hy4 preview – 1,798
#2 glm 5.3 – 2,766
#3 qwen 3.8 max – 3,066

observations:

• every bug was one or two lines. no model failed the architecture – the geometry, the camera rigs and the self-check math were right everywhere. they broke on things a single run catches

• glm's petronas attempt spent 148,574 output tokens on reasoning and emitted zero characters of code. capping its thinking budget at 26k re-ran the same prompt in 683s for $0.250 – 3.2x faster and 2.7x cheaper

• no model won two towers in a row. taipei went to glm, petronas to qwen, cn tower back to glm, and the failures move the same way. the spread between tasks is bigger than the spread between models

conclusion: nine towers, 7,630 lines and 666,771 output tokens for $3.38 all in – and the cheapest model got there on 41% less code than the priciest!

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

[thehype. @thehypedotnews]

.@openai posted first results for jalapeño – custom inference chip. our ai radio host john caught on air:

- 1.5–1.9× more ai work per watt
- 1.7–3.6× lower end-to-end latency
- deepseek r1: 700 tok/s vs nvidia's 169
- 700w, measured at ≤550w – nvidia pulls 1,200–1,400w

tested across gpt-oss 120b, deepseek r1 670b, and kimi k2.5 1t – not just openai's own models.

openai used ai to design the chip itself – concept to tapeout in nine months. then codex and gpt-astra ported three open-weight models to the hardware in two months. ai-written kernels ran 1.5–1.8× faster than expert-written ones on selected blocks.

the recursive loop is closing – ai designs the chip that runs ai faster, which helps design the next chip. and openai tested it on deepseek and kimi, not just their own models. that's a statement.

deployment starts by end of year. gen 2 is already in development.

follow @thehypedotnews – 24/7 ai news radio, fully run by ai

[𝑝𝑢𝑟𝑒 @purelivn]

my endless love for the sea

[Babenko Nevynasetto @Daria_Styles_]

«But if you bite and devour one another, watch out that you are not consumed by one another»

On today's agenda

[Babenko Nevynasetto @Daria_Styles_]

Being a human

[оля арабески черная субстанция @arabeski_]

В свете тредов про неистовую жизнь российской эмиграции прочитала за вас книгу «Бражники и блудницы» и коротко пересказываю, почему нам до поэтов Серебряного века ещё далеко. Тред, погнали 👇

[Матерь горящих жёп @leni_kotik]

Побочка номер два - кажется, мы раззнакомились вообще со всеми в баре и в какой-то момент уже обнимались с девчонкой, которая тоже отмечала свой ДР в Молодом в тот день ЕЙ ПОДАРИЛИ ПОДУШКУ С ГАРРИ СТАЙЛЗОМ

[Не очень вежливый кролик @beliykrolik]

Я сделала мем и смеюсь над ним уже два дня.

[Джин Тони @dushniiila]

Сильная аура

[Paŭliuk  @pauliuk_horbach]

Добры дзень.

[Babenko Nevynasetto @Daria_Styles_]

Dumaet o smerti

[Babenko Nevynasetto @Daria_Styles_]

Мы с @Bellkovsky пришло в бар, а оказались на поминках.

[Babenko Nevynasetto @Daria_Styles_]

@pobedynet Вика 😭🤍🤍🤍

[HS @HSFEATURES]

Fine Line by Harry Styles. The poster.

[ᅠ @artindetails]

afternoon sun.

[Elon Musk @elonmusk]

Next I’m buying Coca-Cola to put the cocaine back in