Héctor Palma Téllez (@Zentaurus) header
Héctor Palma Téllez (@Zentaurus) profile picture

ⓥ 𝔈𝔱 𝔱𝔲, 𝔅𝔯𝔲𝔱𝔢?

Santiago, Chile
Joined April 2008
Photo by Héctor Palma Téllez (@Zentaurus)Photo by Héctor Palma Téllez (@Zentaurus)Photo by Héctor Palma Téllez (@Zentaurus)Photo by Héctor Palma Téllez (@Zentaurus)Photo by Héctor Palma Téllez (@Zentaurus)Photo by Héctor Palma Téllez (@Zentaurus)Photo by Héctor Palma Téllez (@Zentaurus)Photo by Héctor Palma Téllez (@Zentaurus)Photo by Héctor Palma Téllez (@Zentaurus)Photo by Héctor Palma Téllez (@Zentaurus)
Cuando comís muy rápido y te morís
1
3
1
24
Héctor Palma Téllez retweeted
BREAKING: Revolut moved ~2,000 engineers onto self-hosted GLM for coding and pushed Claude Code and Codex to the exception list. Per David Abitbol, who leads AI ops there: 56 Nvidia B200s, a blended 30 cents per million tokens, roughly a tenth of what they paid Anthropic and OpenAI. Engineering lead time improved 70%. Here's the part that matters: the gains showed up when tokens stopped being rationed. Engineers quit saving AI for the hard tickets and pointed it at everything. Frontier models become the exception, open weights become the default. That's a pricing problem for every lab heading to IPO. h/t @OliverMolander Would you move your team off frontier APIs if the bill dropped 90%?
290
685
367
7,744
979,695
Héctor Palma Téllez retweeted
Chile's far-right, US-backed President José Antonio Kast is a defender of the Pinochet dictatorship and the son of a German Nazi war criminal, who loves Israel. After a few months in office, he is widely hated, with an approval rating of just 22.1%, and disapproval at 67.5%.
227
2,534
111
6,859
97,915
Héctor Palma Téllez retweeted
What it feels like when you start using a Chinese model and it actually just does what you want without a fucking condescending moral lecture.
280
1,902
108
36,175
594,918
Héctor Palma Téllez retweeted
/goal is finally in @opencode enjoy
264
343
142
6,111
264,547
Héctor Palma Téllez retweeted
Los del trabajo: "¿Y si venimos disfrazados?" Yo bien chuec@ del estrés:
10
849
52
7,596
97,359
Héctor Palma Téllez retweeted
JUST NOW: Netanyahu warns Iran has 𝗝𝗨𝗦𝗧 𝗥𝗘𝗦𝗧𝗔𝗥𝗧𝗘𝗗 𝗜𝗧𝗦 𝗡𝗨𝗖𝗟𝗘𝗔𝗥 𝗪𝗘𝗔𝗣𝗢𝗡𝗦 𝗣𝗥𝗢𝗚𝗥𝗔𝗠, claiming Tehran will try to 𝗪𝗜𝗣𝗘 𝗜𝗦𝗥𝗔𝗘𝗟 𝗢𝗙𝗙 𝗧𝗛𝗘 𝗠𝗔𝗣 before the national elections. @grok confirm
59
918
14
8,366
86,837
Héctor Palma Téllez retweeted
i built a website where you can sit at elizabeth holmes’ desk open her macbook, scroll her iphone, run the theranos edison machine her texts, emails, slides, documents, and theranos machine records are real, sourced from exhibits in the united states v. holmes criminal trial
157
315
86
6,171
324,517
Héctor Palma Téllez retweeted
a weird inversion with LLMs is the models improve faster than the tinkerers when i see people with custom workflows and setups they're all addressing problems that don't exist anymore the person naively using vanilla codex is more likely to be experiencing state of the art
661
655
297
13,379
1,009,106
Héctor Palma Téllez retweeted
OpenAI model names aren't that confusing, you just need to know we started with GPT-1, 2 and 3, then 3.5, then 3.5 Turbo, then GPT-4, then GPT-4 Turbo, then GPT-4o where the o means omni, except it didn't really end up being omni, then GPT-4o mini Then we switch to the o series, where the o now means OpenAI instead of omni, starting with o1-preview and o1-mini, then o1 drops the preview, then we skip o2 and they announce o3 and o3-mini, but o3-mini gets released first, meanwhile GPT-4.5 comes out and THEN GPT-4.1 because why not, alongside GPT-4.1 mini and nano, then o3 finally arrives with o4-mini even though there's no regular o4 Then we're back to GPT with GPT-5, mini and nano, followed by 5.1, 5.2 and 5.2-Codex, then 5.3-Codex, and yes there's also GPT-5.3 but ONLY Instant, no Thinking or Pro, then 5.4 brings the coding capabilities into the main model so we drop the Codex suffix, but hey mini and nano are back, then 5.5, then 5.6 where the names are now Sol, Terra and Luna Then GPT-6 arrives but only Astra at first, followed by Sol and Luna, no GPT-6 Terra this time, and exactly a week after GPT-6 Sol we get GPT-6.1 Sol with near-Astra performance at a much lower cost And that's just the quick version, wasn't that hard was it?
73
111
35
2,274
138,174
Héctor Palma Téllez retweeted
the eight hours before the end of the workday
7
2,512
60
38,089
342,719
Héctor Palma Téllez retweeted
104
1,566
84
33,210
1,174,171
Héctor Palma Téllez retweeted
opus 5.5 on medium effort just works man, im HOOKED
58
365
20
8,380
218,522
Héctor Palma Téllez retweeted
58
7,391
73
79,400
801,627
Héctor Palma Téllez retweeted
When you rely on LLMS: braindead slop-cannon When I rely on LLMs: on the bleeding edge of cognitive offloading
24
456
8
8,343
133,170
Héctor Palma Téllez retweeted
How it started: How it's going:
42
735
69
7,991
463,464
Héctor Palma Téllez retweeted
GLM 5.3 Flash and DeepSeek V4.1 Flash are more than enough for 95% of people btw You don’t need “frontier intelligence” for everyone
229
189
60
3,410
334,150
me after visiting more than 2 places in a day.
87
12,936
317
65,357
688,185
Héctor Palma Téllez retweeted
Today's my birthday, and I could not have asked for a better gift. Bonsai 2 fits on most phones shipping today (anything >8GB). And it outperforms Opus 4.6 and 5.6 Luna -- on tasks that would have sounded absurd to attempt anywhere two years ago. I try to be disciplined about timelines. My most optimistic estimate for something like this was early-2027. It's September 2026. Huge thank you to the @prismml team -- @BabakHassibi @SahinLale @HessianFree @rsadri_ml @tushar_bans @evaninwords -- for putting this into the world. We're bringing Bonsai 2 to @DarkbloomAI tonight. The 1,000+ providers can test it right away. And whenever those machines aren't in use, they'll serve Bonsai 2 to anyone who wants to try it. So few people set up a local model themselves, and a model this good shouldn't be gated by that. More tomorrow.
Today, we’re announcing Ternary Bonsai 2 27B. Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance. Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use. Ternary Bonsai 2 27B is available today under Apache 2.0.
45
44
6
608
79,326
Héctor Palma Téllez retweeted
“But”
104
4,343
62
65,902
496,620