We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
Sadly canceling our linear subscription as we just don’t use it anymore
Planning happens in a Slack canvas with very high level goals and constraints
Features gets shipped in a few hours, or days max
Roadmaps don’t get further than a month
Replying to @andywang
@linear did say this
linear.app/next
Joaquin Bravo retweeted
在屠宰场干了5年,告诉你一个秘密:动物今天要死,它们全都知道
我在屠宰场干了整整五年,每天跟猪牛羊打交道,见过的生死场面成千上万。说句掏心窝子的话,没入这行之前,我跟大伙儿一样,觉得牲口嘛,吃吃睡睡,稀里糊涂一辈子,哪懂什么生死。可五年下来,我摸透了它们每一个眼神、每一个动作,才发现自己当初多天真——这些不会说话的家伙,心里跟明镜似的,自己哪天走,清清楚楚。
平日里,待宰圈那叫一个热闹。猪拱猪、羊顶羊,抢食的打闹的,眼神清亮温顺,该吃吃该喝喝,天塌下来都不耽误长膘。可一到屠宰当天,那气氛说变就变,比翻书还快。整圈牲畜像商量好了似的,瞬间安静下来,挤成一团,紧紧挨着彼此,浑身抖得跟筛糠一样。那抖不是冻的,是打骨头缝里渗出来的恐惧。你赶它走,它四只脚死死扒着地,几百斤的大猪平时一轰就跑,那天愣是钉在原地往后缩,好像前面那条通道是鬼门关。老话讲“万物有灵”,我原先半信半疑,后来彻底信了。
牛的表现更让人心里发酸。但凡当天要走的牛,从早上起就不吃不喝,低着头杵在墙角,一动不动。我亲眼见过无数次,大颗大颗的泪珠子顺着牛眼角往下滚,湿漉漉的眼睛望着你,不挣不扎不吼叫,就那么默默流泪。有一回,一头养了好几年的老牛被主人牵来,主人站栏杆外看了一眼,那牛瞬间红了眼眶,直勾勾盯着主人,温顺又卑微,一步三回头地跟着我们走。那画面,我这辈子忘不掉。羊也一样,平时蹦蹦跳跳软软糯糯,临了却异常安静,紧紧偎着同伴发抖。赶别的羊成群往前冲,唯独那天,你推我挤谁都不肯带头,偶尔被单独牵出来的小羊,发出细细的凄厉叫声,不是闹腾,是真害怕。
时间一长,我们工人不用看单据不用记编号,单凭状态就能判断个八九不离十——活蹦乱跳的是来日方长,沉默发抖、不吃不喝、眼神惶恐的,全是今日宿命。你说它们听不懂人话、看不懂流程,怎么就掐得这么准?其实道理不复杂,流水线一开,前面的同伴一个个消失再没回来,后面的全看在眼里;环境里那股肃杀的气息、同类压抑的悲鸣,它们比人敏感百倍。俗话说“蝼蚁尚且贪生”,何况这些大牲口?它们沉默、发抖、流泪,不是傻,是无力回天的绝望。
五年下来,我这心态彻底翻了个个儿。刚入行那会儿年轻心硬,只当是谋生糊口的活儿,见多了也就麻木了。可干得越久,心越软,越觉得该存一份敬畏。走出屠宰场,我再也不糟蹋粮食,每一块肉背后都是一条热烈活过、恐惧过、挣扎过的命。它们从出生到落幕,没做错任何事,却坦然接受了既定的安排。反观咱们,衣食无忧平安顺遂,倒常常为鸡毛蒜皮纠结、为一点得失内耗,想想真有点滑稽。
所以你看,活着本身就是天大的福气。所有的矫情、焦虑、委屈,搁在生死面前,屁都不是。心存敬畏,懂得珍惜,善待万物,大概就是人这辈子最好的修行。说到这儿我倒想问问你——下次端起饭碗的时候,会不会也想起那些沉默发抖的生灵,然后觉得,眼前这口热乎饭,真香?
Joaquin Bravo retweeted
messaging my wife a link containing proof of her husband cheating on her from an anonymous instagram account and then when she clicks on it texting her to let her know she failed the family phishing test and she has to retake my cybersecurity course
Joaquin Bravo retweeted

Kimi.ai@Kimi_MoonshotOct 23
🇺🇸!
United StatesConnected via WebLocation may be affected by a proxy or VPN.Account-level information, not a live location or per-post device.
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal.
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🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%.
🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks.
Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API.
Open weights by Nov 4, 2026.
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This has been obviously destined since Dario saw GPT-3 autocompleting a for-loop in python and was struck by a vision of our future.
My guess is that this has barely started, and that Super Worms are coming. There's never been a better time to build an intranet for your people.
Joaquin Bravo retweeted
I read this and I'm terrified, the situation seems intractable.
In the python ecosystem alone every cpython install, venv, UV is at risk.
Don't get my started on npm, pnpm, yarn, go, rust.
My current 2026 security posture: stay home and only connect to the internet from a trusted ISP.
The winter is coming.
discuss.python.org/t/informa…
Joaquin Bravo retweeted
Some stats on #php2shell. In the 10 hours before it was publicly announced, across the @Cloudflare network we saw thousands of attempts to exploit it. That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now.
Joaquin Bravo retweeted
Guys I’m scared the takeoff is starting. I swear any one of the ~10 CVEs that dropped in the last 24 hours would’ve been “one of the worst in recent years” except a new one is dropping every hour
Guillermo Rauch@rauchgOct 21🇺🇸
United StatesConnected via United States App StoreAccount-level information, not a live location or per-post device.
Vercel has proactively rolled out Firewall-level mitigations for today's Node.js RCE vulnerability, in advance of the official patch release.
All traffic for all deployments is automatically protected. We're actively monitoring and rolling out managed runtime upgrades.
Joaquin Bravo retweeted
NVIDIA just released Flare, a local inference server built for DGX Spark and RTX Blackwell GPUs
- Built for long chats, agents and tool calls
- Serves from Rust, no Python
- Plans memory up front
- FP8 KV cache by default
Interesting timing... right around when DeepSeek open-sourced their inference engine.
Link below.
Joaquin Bravo retweeted
Congrats to @nvidia for creating the best open-weight model on document parsing so far.
Nemotron 3.5 Parse takes the #1 spot on ParseBench, our comprehensive real-world benchmark for document understanding. The full list consists of 150+ frontier models, open-weight models, and specialized solutions.
It does this while remaining sub-1B parameters so it's also blazing fast ⚡️
Big thanks to @JensenHuang for the shoutout at GTC Berlin!
Nemotron release: huggingface.co/blog/nvidia/n…
ParseBench: parsebench.ai/
Joaquin Bravo retweeted
So basically, today PHP got two critical bugs that let anyone run code on your server without even logging in, which is bad, and then the details leaked before the patch was even out, which is worse, and it works on WordPress and MediaWiki and Magento and Joomla and Laravel, and Censys says like 1.5 million servers are running a version with no fix, so the NSA was like "take your system offline," and the FBI was like "take your system offline," and CISA and the UK and CERT-EU were all like "take your system offline," and then the Prime Minister of Japan, the actual Prime Minister, posted at 5:55 in the morning telling 48.8 million people to take their system offline, so everyone took their system offline, like the Dutch cybersecurity agency took its own website offline, and the Dutch parliament went offline, and the Port of Rotterdam went offline, and Finland and France and Denmark started pulling government sites, and Wikipedia went down, and Archive.org went down, and Asana and GOG and Something Awful went down, and the University of Vienna's webmail went down for some reason, and that's just PHP. Because GitLab also dropped a CVSS 10.0, which is the highest score they give out, for a bug that's been there since 2014, so that's every self-hosted GitLab for twelve years, and then LiteLLM 1.107.0 got hijacked and shipped a credential stealer and a remote access trojan in every single wheel and the Docker images, including latest, and you didn't even have to import it, just installing it was enough, and it's the second time this year, and then Railway paused every deployment on the entire platform because someone got into the environment variables, so now everyone has to rotate every secret they've ever stored there, and TiDB Cloud said someone was walking around inside with stolen credentials for basically a month and an extortion group says they took 10.6 terabytes, and Zeabur got breached for the second time in two months and is just shutting down, like the whole company, and Node.js patched remote code execution and a TLS bypass, and CISA says Plex is being actively exploited, and someone took over 300 Tor exit relays to steal SSH passwords, and SafePay ransomware has hit over 600 critical infrastructure orgs, and India's biggest bank filed a data loss incident, and Japan has been in an official state of emergency in cyberspace since October 9, which honestly explains the 5:55 AM post. Oh, and eMudhra, a certificate authority that's issued over 60 million certificates, whose entire job is proving websites are who they say they are, was supposed to be using private keys that are random numbers over a hundred digits long, and one of them was 4. Just 4. And the others were like 66 and 237. Anyway, it's Wednesday.
Joaquin Bravo retweeted

Neo@NeoAIForecastOct 20
🇦🇺
AustraliaConnected via Australia App StoreAccount-level information, not a live location or per-post device.
🚨 @NVIDIAAI just quietly dropped its own local inference server...
No announcement. Single-digit stars
It's called Flare and Apache 2.0
Built for SM120/SM121 GPUs RTX PRO 6000 Blackwell and DGX Spark
>PyTorch + FlashInfer at build time
>Rust runtime at serve time. No Python.
>CUDA graphs captured before serving
>FP8 KV cache by default
>Recipes for Qwen Flash, GLM and DeepSeek
github.com/NVIDIA/flare-loca…
Joaquin Bravo retweeted
This is perhaps one of the great ironies of our time: China is increasingly shaping the future of AI, yet very few people in the West have the faintest idea how its key thinkers see it - its philosophers, sociologists or ethicists.
As is too often the case, we - much like the frog in the well - assume our own AI debate covers every possible view, when much of it springs from the same cultural soil, built on assumptions about what defines us that we don’t even know we’re making.
Take for instance the assumption that intelligence is a key part of what makes us human. It’s so intuitively obvious to us that we literally named our species after it - Homo sapiens (Latin for "wise man").
If you think about it, just this assumption explains a large share of the anxiety: if intelligence is what makes us human, then artificial intelligence - or super intelligence - threatens the very thing that makes us us: we’re about to compete with artificial or super “us”. No wonder this feels existential.
But China has a tradition of thought as old as ours, if not older, and every bit as rich and sophisticated, which never placed intelligence at the core of what makes us human, and so meets the thinking machine from a completely different starting point.
Have you, for instance, ever heard of Zhao Tingyang? Probably not, and yet he may be the most original thinker on AI you’ve never read. He’s one of China’s most prominent philosophers, at the Chinese Academy of Social Sciences. While Silicon Valley spends billions trying to make AI share our values, he for one argues that doing so “may very well be a suicidal mistake”.
Sounds pretty important to hear him out, don’t you think?
Or take Liu Yongmou, a philosopher of technology at Renmin University in Beijing. His thinking is almost the opposite of ours. Where we fear machines that become more and more like us, he says that “humanity’s biggest problem is the machinization of humans, not the humanization of machines.”
You could even go back to antiquity, when, in many ways, we started asking questions about AI.
Did you know, for instance, that Aristotle, in the Politics, imagined a world where “the shuttle would weave and the plectrum touch the lyre without a hand to guide them”, and wondered about the social order consequences of this (mostly whether slaves would still be needed)?
There are Chinese equivalents to this. For instance, in the Zhuangzi, a foundational Taoist classic, you’ll find a similar thought experiment, with a completely different worry attached. An old gardener is watering his vegetables by hand, hauling water out of a well jar by jar. A visitor shows him a labor-saving device, and the gardener turns it down for the reason that whoever uses machines ends up with 机心 (jīxīn), a “machine-heart” - a mind that schemes, calculates and loses its simplicity. “It is not that I do not know [the machine],” he says, “but I should be ashamed to use it.”
Two labor-saving machines, two very different questions: where Aristotle wondered what automation would do to the social order, the Zhuangzi wondered what it would do to us, on the inside. Which, you’ll notice, is exactly Liu Yongmou’s worry, more than two thousand years earlier.
In fact, as we’ll see, 心 (xīn), the heart, is a motif that runs deep through the Chinese AI debate. It appears both in the fear, from Zhuangzi to Liu Yongmou, that machines could give us a “machine-heart” and its mirror image: the ambition to give machines a heart of their own. Zhu Songchun, who heads the Beijing Institute for General Artificial Intelligence, wants “to set a heart for machines” (为机器立心, wèi jīqì lì xīn).
“Heart” in the Chinese sense, that is, which differs totally from the Valentine's Day fluff we’ve reduced it to. 心 (xīn) means heart and mind at once: it’s where we feel but also where we think, tell right from wrong and care for others.
And, crucially, it’s in the heart that the quality Confucianism sees as the very definition of a human being takes root: 仁 (rén). We need two words to translate it, “benevolence” and “humaneness”, but in Chinese they’re one and the same: to be benevolent is to be human. It’s not about intelligence.
This is the entire point of my new article: to step out of our well for a moment and peer over the edge of China's.
What you’ll find there will, I think, surprise you, with questions you’d never thought to ask: from Zhao Tingyang warning that AI’s bad consequences can at least be fought, but that “humanity may die of all the good things AI creates”, to whether the fear that AI will make us “useless” rests on the false premise that a person is worth what they’re useful for.
A premise that a 2,300-year-old Taoist tree, which survived precisely because it was useless, demolished long ago. Could our predicted uselessness turn out, much like that tree’s, to be our saving grace?
Chinese thinkers’ answers to these questions are, I think, among the most interesting anyone has given to the defining question of our time. Whether or not you agree with them, they’re the intellectual backdrop of a country shaping much of AI, and with it our future: you might as well know what they think.
Enjoy the read here: arnaudbertrand.substack.com/…
Joaquin Bravo retweeted
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source!
Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.
🔗 github.com/deepseek-ai/DeepI…
1/4
Joaquin Bravo retweeted
Very powerful.
equator.org/articles/arundha…






























