Monty retweeted
@nobrokercom @NoBrokerCare is a total scam company ever.
I booked 12 visits on their app, they cancelled all and asked me to book again. After booking again, first they say no keys available, then their RMs don’t have any record of the bookings! This is a Scam!
@NoBrokerCare @nobrokercom - the worst company. they will call 100 times before you take subscription. After buying subscription they will ghost you.
RM has not called / replied even once. Half listings are fake, visits don't get confirmed.
What scam are you running?!!
Monty retweeted
Indians are mostly terrible at ethical disclosures and understanding the concept of "conflict of interest".
Has Deepinder Goyal publshed any new "scientific" paper on his Temple device? Because these kinds of "i'll scratch your back, you scratch mine" kind of suckup pieces wont work.
The author, Rakesh Shivran, is co-founder of OneCare, now part of Acko Team - "the move helps Acko expand from pure-play health insurance into an end-to-end healthcare and chronic disease management ecosystem (incorporating wearables, data insights, virtual care, and physical clinics)."
Note the point - wearables.
Clowns.
Monty retweeted
Jatayu and vultures seem to be having a moment currently on the Indian side of the internet. So let me remind everyone of this tragedy of the real counterparts.
Polluted air is causing preterm birth and respiratory issues in newborns.
5 years, over 21% rise in preterm birth rate: Delhi’s air is cutting pregnancies short newslaundry.com/2026/05/22/5…
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Monty retweeted
5 years, over 21% rise in preterm birth rate: Delhi’s air is cutting pregnancies short newslaundry.com/2026/05/22/5…
Monty retweeted
Kunal, respectfully, what most of us want is for the relentless business spsm messages to stop and for WhatsApp to implement a mandatory opt-in system before business accounts can send us messages. Seriously, it's getting out of control!
Monty retweeted
@NoBrokerCare @nobrokercom - the worst company. they will call 100 times before you take subscription. After buying subscription they will ghost you.
RM has not called / replied even once. Half listings are fake, visits don't get confirmed.
What scam are you running?!!
Took 4 months to think about the abstracts but not a single pointer about the spam issue. WhatsApp is unusable because of spams. But that’s a non issue apparently.
I am nearly 4+ Months In WhatsApp
I think of WhatsApp like a shared language, spoken by 3bn+ people. Sometimes we use words, and sometimes it’s a voice note to a parent, a sticker that ends an argument, or a "that was a fun dinner” at the end of the night. Language is at the heart of everything we as people do. We write letters, tell stories, get things done and make plans for the future. A WhatsApp chat is often where we start.
Like any language, the people who use it shape it. They don't wait for permission. They find new things to say, and new ways to say them. Often, our users show us what should come next based on how they’re using the app and communicating in the world.
I’ve spent the last few months listening and understanding what our users want from us and what I heard is simple: help people stay close to those who matter to them, and get more done on WhatsApp. So that's what we'll build.
First, we want to make connections richer.
Sometimes hearing someone's voice, sending a joke, agreeing on a plan or knowing they're safe is the whole point. People send over 10 billion voice messages and over 4 billion stickers on WhatsApp every day. As the way people communicate evolves, we will evolve these experiences with them. We'll make voice notes, groups, stickers and video simpler and more expressive, because how people feel close keeps changing.
Second, we want anything you do on WhatsApp to be as simple as sending a message. Too many things start in a chat and end with many more steps somewhere else: paying a bill, borrowing money, staying connected when you travel. Each handoff to another task costs time. We're working with financial services and telecom partners so that finishing something feels as easy as starting it.
Third, we want to make this all more efficient with AI. It should quietly find what you need, get things done and make sure you never miss a booking or an appointment. The best technology saves you time, so you can get back to the connections that matter.
None of this works without trust. WhatsApp handles over 100 billion messages and 2 billion calls every day. Trust takes years to earn and a moment to lose, and I don't take that lightly. Whatever we build, WhatsApp must remain simple, reliable and private. These principles we’ve had for years aren’t changing. Your personal messages and calls stay end-to-end encrypted. This and our quality bar stays the same.
What happens inside WhatsApp only matters for what it makes possible outside it: more time together, stronger communities, and fewer barriers between people and the lives they want to live.
Onwards.
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Monty retweeted
Reads like a prepared PR statement because I don't see much new here as to what WhatsApp/Meta have been trying for years to make it into a "super app" and shoe-horning in AI, but failing.
And they haven't really listened to users whose top ask has been to reduce/remove spam.
I am nearly 4+ Months In WhatsApp
I think of WhatsApp like a shared language, spoken by 3bn+ people. Sometimes we use words, and sometimes it’s a voice note to a parent, a sticker that ends an argument, or a "that was a fun dinner” at the end of the night. Language is at the heart of everything we as people do. We write letters, tell stories, get things done and make plans for the future. A WhatsApp chat is often where we start.
Like any language, the people who use it shape it. They don't wait for permission. They find new things to say, and new ways to say them. Often, our users show us what should come next based on how they’re using the app and communicating in the world.
I’ve spent the last few months listening and understanding what our users want from us and what I heard is simple: help people stay close to those who matter to them, and get more done on WhatsApp. So that's what we'll build.
First, we want to make connections richer.
Sometimes hearing someone's voice, sending a joke, agreeing on a plan or knowing they're safe is the whole point. People send over 10 billion voice messages and over 4 billion stickers on WhatsApp every day. As the way people communicate evolves, we will evolve these experiences with them. We'll make voice notes, groups, stickers and video simpler and more expressive, because how people feel close keeps changing.
Second, we want anything you do on WhatsApp to be as simple as sending a message. Too many things start in a chat and end with many more steps somewhere else: paying a bill, borrowing money, staying connected when you travel. Each handoff to another task costs time. We're working with financial services and telecom partners so that finishing something feels as easy as starting it.
Third, we want to make this all more efficient with AI. It should quietly find what you need, get things done and make sure you never miss a booking or an appointment. The best technology saves you time, so you can get back to the connections that matter.
None of this works without trust. WhatsApp handles over 100 billion messages and 2 billion calls every day. Trust takes years to earn and a moment to lose, and I don't take that lightly. Whatever we build, WhatsApp must remain simple, reliable and private. These principles we’ve had for years aren’t changing. Your personal messages and calls stay end-to-end encrypted. This and our quality bar stays the same.
What happens inside WhatsApp only matters for what it makes possible outside it: more time together, stronger communities, and fewer barriers between people and the lives they want to live.
Onwards.
Monty retweeted
eMudhra disabled FIPS on the HSM, exported the private key into Python on a computer, and then it got truncated when they re-imported it
I have to admit I did not realize CAs were running HSMs with the ability to do this. How many CAs are exporting private keys to computers??
eMudhra's incident report is out! A Python script truncated their CA private keys to one byte?!
bugzilla.mozilla.org/show_bu…
I built an MR review bot for sql migrations at work that’s been running for 1.5 years now. And just in last 2 months it has started flagging em dashes left right center in comment notations. Almost every single migration files that are coming in has em dashes.
Fable 5.2 breaks a record that Anthropic hasn't touched since Fable 5 — most emdashes in the announcement post
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Monty retweeted
印度光明节，号称 built in 印度的 Alpie 9B 发布。看了一下，完全是向 Qwen3.5-9B “致敬”：
- 架构方面，完全 copy
- 分词器方面，词表一个字没动
- 权重结构和数值：基本逐位相同
哦，唯一不同的是模型的自我认知：
chat template 每轮都注入指令，问来自哪里就答 “India”。
把 X 网友当傻子么？
huggingface.co/169Pi/Alpie_s…
This Diwali, a little more light from India's AI research community onto the global AI landscape.
Introducing the latest benchmark results from Alpie Seed, our 9B multimodal reasoning model developed at @169Pi_ai Research.
We believe the next generation of AI will be shaped not only by models that scale bigger, but by the research and engineering that make smaller models increasingly capable.
We put Alpie Seed through a range of demanding evaluations across reasoning, scientific knowledge, mathematics, coding and software engineering.
Here are some of the results:
→ 82.54% on MMLU-Pro
→ 84.32% on GPQA Diamond
→ 72.99% on LiveCodeBench v6
→ 61.20% on SWE-Bench Verified
The comparison highlights some interesting results.
Alpie Seed records the highest GPQA Diamond score among the models shown. On MMLU-Pro, it performs competitively with larger models, while its LiveCodeBench result is within striking distance of substantially larger systems.
Its SWE-Bench Verified result of 61.20% is another important milestone, reflecting its ability to work through real-world software engineering tasks. This evaluation used mini-SWE-agent without retries.
Beyond benchmark accuracy, we also examined inference efficiency.
In a separate profiling evaluation, Alpie Seed recorded:
→ 36.66 ms time to first token
→ 41.37 tokens/s generation speed
→ 9,796.22 tokens/s prompt processing speed
These measurements come from a separate profiling setup and should not be confused with the comparative benchmark results.
What makes this work meaningful to us is the process behind it: developing a compact model through supervised fine-tuning and reinforcement learning, evaluating it across diverse tasks, and making the resulting weights accessible to the wider community.
The comparison includes published results from other model developers. These evaluations were not rerun under a common harness, so differences in methodology and configuration should be considered when interpreting the numbers.
Built in India. Developed for a global research and developer community.
This is Alpie Seed. And this is one step in a much larger journey for 169Pi Research.
Explore the model:
Hugging Face: huggingface.co/169Pi/Alpie_s…
GGUF: huggingface.co/169Pi/Alpie_S…
Ollama: ollama.com/169pi/alpie-seed
Kaggle: kaggle.com/models/alpie/alpi…
Happy Diwali from everyone at 169Pi.
