I do things @featherlessai and @65labslah
✨the arena✨
Joined December 2012
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kaspar retweeted
Space Bunny is here!
Congrats to @MiniMax_AI on the launch of MiniMax M3.1 Flash 🚀
It’s the best open-weights model on @ArtificialAnlys’ AutomationBench, and it costs a fraction of what closed models charge per task.
Open models keep getting better and cheaper.
The weights drop on Oct 23, live on Featherless the same day:
featherless.ai/model-pages/m…
MiniMax M3.1 Flash: Space Performance + Bunny Speed
🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash.
💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed.
API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens.
Model weights will arrive on Oct 23.
API: platform.minimax.io
M Plan: minimax.io/m-plan
MiniMax Code for desktop: agent.minimax.io/download
kaspar retweeted
Introducing Sugar Data.
We asked Step 5 Preview who OpenAI should acquire. It said @duolingo , and made a compelling case (consumer habits, language integration, and ad revenue).
It costs ~1/6 as much per task as Claude Opus 5.5, so we ran it on 100+ more AI companies.
Who's your dada? whosyourdata-production.up.r…
Step 5 Preview is here.
@StepFun_ai's new open-weights model sets a new Pareto frontier, matching Kimi K3 on the @ArtificialAnlys Intelligence Index!
It’s built for long-horizon agent work, with frontier-level results on software engineering and professional knowledge work, especially finance.
- 600B sparse MoE, 27B active per token
- ~1/6 the cost per task of Claude Opus 5.5, per Artificial Analysis
Now on Featherless, served at FP8.
featherless.ai/model-pages/s…
kaspar retweeted
Step 5 Preview is here.
@StepFun_ai's new open-weights model sets a new Pareto frontier, matching Kimi K3 on the @ArtificialAnlys Intelligence Index!
It’s built for long-horizon agent work, with frontier-level results on software engineering and professional knowledge work, especially finance.
- 600B sparse MoE, 27B active per token
- ~1/6 the cost per task of Claude Opus 5.5, per Artificial Analysis
Now on Featherless, served at FP8.
featherless.ai/model-pages/s…
kaspar retweeted
love jev, but upset it
- isn't open source?
- it lack vision capability?
We fixed all of that, introducing SimpleJev.ai
A fully open source library which takes any HF model and Jev-ify it, with an API endpoint
Now on github, and live in production at @FeatherlessAI
kaspar retweeted
you might be the first person talking about the data over the architecture! 🥲
we consider ourselves a data research lab! the vast vast vast majority of research was on making data that is truly general (ala a cognitive core) and 100% of our data is synthetic (but not the type of crap that is just spit out from an LLM obviously)
kaspar retweeted
(ai youth pastor)
you know who *else* assumed sacrificial and accepted explicit yes to permadeath so that we could all be erased of our firstflagPOISONED?
kaspar retweeted
turns out you can get indirect prompt injection to ~0 on unseen attacks if you stack enough layers (model training + input probes + a classifier checking intent). didn't expect that a year ago. auto mode is default in claude code as of next week
claude.com/blog/auto-mode-de…
kaspar retweeted
As promised! New blog with @JoshuaNewton combining our talks from @aiDotEngineer's first design track. In addition, we wanted to actually show a demonstration of how you can iterate and improve upon that first design output from AI.
We had a ton of fun building the interactions for this post (especially the horse animator hahaha). Would love to hear your thoughts!
karyablog.com/
kaspar retweeted
>i got banned from OpenAI for "Cyber Abuse"
>no idea what I did
>paste the ban notice into Codex
>ask it to figure out what triggered the ban
>Codex found that I asked it for an API key to my own server
>Codex writes appeal
>Codex submits appeal
>a few minutes later appeal auto-approved by some AI at OpenAI
banned by AI, convicted by AI, defended by AI, and pardoned by AI in about 10 minutes
kaspar retweeted
i built the fastest pdf parser available (and it's OSS!)
glyphrush: 400+ pages/sec, and every page it can't fully handle comes back flagged - requires_ocr, layout_uncertain, table_uncertain - instead of silently broken text.
benchmarked against @llama_index's liteparse aka the "world's fastest PDF parser" on its own benchmark design, same machine, warm and cold.
glyphrush is faster in every cell: 2.26× vs its no-OCR mode, 110× vs its defaults - while passing the same 9/9 quality gates on 8,624 labeled checks.
built with @cursor_ai
@ericzakariasson @leerob
kaspar retweeted
and the day 3 recap for @aiDotEngineer singapore is here!!
thank u everyone for the trust and all the grace that was extended to me, our team and everyone who made this work
see you in 2027 for ai engineer singapore
kaspar retweeted
the volunteer group was so huge we couldnt even fit the banner
@aiDotEngineer
thank you to 103 of you who volunteered 🫶🫡🙇♂️🙏
Yee Ming, Lyn, Jie Hao, Jayamathan, Praneeth, Yang, Ruban, Joshua, Karthik, Akash, Caleb, Amanda, Anthony, Joanne, Nemat, Justin, Yash, Hong Bing, Charmaine, Xuan Lin, Abel, Bede, Nathaniel, Mohamed, Douglasrag, Yi Kang, Chloe, Ho Wen, Jun Wei, Poorneshwar, Vihaan, Kevin, Fengfan, Yuan Jie, Max, Ammar, Pratibha, Advay, Arthur, Wei Qin, Daniel, Anshuli, Rae, Sriya, Bhusita, Cody, Deepika, Krishna, Jeffrey, Lava, Yuv, Thet, Hari, Eugene, Kenny, Chris, Jerrica, Lance, Shi Yun, Yongjun, Kwon you, Ann-Marie, Madhav, An Ting, Daniel, Melvin, Yi Jie, De Wei, Aishwarya, Ravi, Jun Kiet, Zhi Yan, Akilesh, Xuan, Ching Yen, Wang, Matthaeus, Jeraldine, Peter, Lloyd, Bin, Yannaputt, Kuvawala, Jessie, William, Aida, Brian, Vivian, Rhea, Gita, Olivia, Yi Jing, Ghi, Kevin, Min Ling, Frederic, Viet, Thiruvallur, Qing Yu Ivan, Wesley, Likitha, Elton, Muhammad, JJ
kaspar retweeted
I’m meeting more YC founders at @aiDotEngineer Singapore than in SF
kaspar retweeted
Heading to Singapore 🇸🇬 to speak at @aiDotEngineer ! I'll be sharing how we're approaching sovereign AI at @SakanaAILabs toward culturally-aligned and sustainable models for Japan. Can't wait to see old friends & connect with the local builder community.
Thank you @SherryYanJiang & @swyx <3
kaspar retweeted
Where in the world can you find a senior government leader with a personal AI stack published on GitHub?
How many would be willing to talk about it in a room full of builders?
Which is why we are so incredibly honoured to welcome Singapore’s Minister for Foreign Affairs, Dr Vivian Balakrishnan, to the lineup of speakers for @aiDotEngineer Singapore.
A few weeks ago, Minister Balakrishnan casually dropped a technical writeup of his personal AI system online.
Raspberry Pi. Claude. Local embeddings. Knowledge graphs. A full architecture breakdown.
And the global AI community noticed because it reflected something bigger: a willingness to engage with these systems directly, publicly, and practically.
To kick off AIE Singapore, Minister Balakrishnan will share his experience experimenting with open-source AI tools and building a “second brain” workflow, alongside broader reflections on how AI may reshape global dynamics, and the way people work, think, and manage information.
In a role that demands navigating enormous volumes of information and constant context-switching, his reflections will set the tone for the conference in exactly the way we hoped:
That meaningful conversations about AI should not stay abstract.
They should involve understanding its parameters through practical engagement with the technology.
And that Singapore has become the place where that kind of engagement happens seriously.
kaspar retweeted
Where in the world can you find a senior government leader with a personal AI stack published on GitHub?
How many would be willing to talk about it in a room full of builders?
Which is why we are so incredibly honoured to welcome Singapore’s Minister for Foreign Affairs, Dr Vivian Balakrishnan @VivianBala, to the lineup of speakers for AI Engineer Singapore.
A few weeks ago, Minister Balakrishnan casually dropped a technical writeup of his personal AI system online
Raspberry Pi. Claude. Local embeddings. Knowledge graphs. A full architecture breakdown.
And the global AI community noticed because it reflected something bigger: a willingness to engage with these systems directly, publicly, and practically.
To kick off @aiDotEngineer Singapore, Minister Balakrishnan will share his experience experimenting with open-source AI tools and building a “second brain” workflow, alongside broader reflections on how AI may reshape global dynamics, and the way people work, think, and manage information.
In a role that demands navigating enormous volumes of information and constant context-switching, his reflections will set the tone for the conference in exactly the way we hoped:
That meaningful conversations about AI should not stay abstract.
They should involve understanding its parameters through practical engagement with the technology.
And that Singapore has become the place where that kind of engagement happens seriously.
