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ok X, real talk 🙏
i lost my dog.
so i started building 𝗖𝗵𝗼𝘄𝘆 🐶 so other dog families don't miss the signs
chowy.pet
solo, from 🇺🇦, on Gemini Pro
next: wearables, an oura for dogs 🐾
i wish i could build it with 𝗔𝗿𝗴𝗼𝗻 on Ultra
and post every step here, for free, for everyone
@OfficialLoganK @GoogleAI if this reaches you 👀
one RT might get it there 🔁
This is why I love the 𝕏 community.
I wasn't expecting anything. Just sharing my journey.
And today, thanks to @XFreeze , I got a free month of Super worth 120$!
Sometimes, a small act of generosity can mean the world to someone trying to build something from scratch.
This is the kind of community that makes you want to keep building, sharing, and giving back.
Thank you so much, @XFreeze .
You genuinely made my day!
openai gpt-rosalind just found a new drug discovery lead
thousands of agents read gene data from millions of mouse brain cells in 32 minutes
and pointed at cholesterol transport in neurons as a mechanism to test
now it needs lab validation. curious how many of these leads hold up
GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration?
DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it.
That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders.
With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets.
openai.com/index/scaling-ai-…
openai patch the planet: ai found critical security flaws in PHP
php runs an estimated 70% of websites
fix took two months with a coalition of maintainers and needed a major change to the php engine
openai says frontier ai found it ahead of attackers
if you run php, upgrade. curious how many sites actually will
OpenAI models helped researchers—operating as part of our Patch the Planet initiative—discover critical security flaws in PHP, an open-source programming language used to run an estimated 70% of websites.
Over the past two months, we led a coalition of maintainers, researchers, and security providers to prepare fixes and protections ahead of disclosure. This duration was necessary because the fix was quite intricate and required a major change to the PHP engine. Every site using PHP can now safely upgrade their version to stay secure, in addition to applying mitigations from various security vendors.
Due to the severity of these flaws and PHP’s widespread use, we consider this bug to be one of the most impactful vulnerabilities in recent memory. It also marks a new phase, where AI can find security bugs with internet-scale impact.
This is an example of the Defender’s Window in action: to our knowledge, frontier AI was able to find this vulnerability ahead of attackers, giving defenders time to prepare.
openai.com/index/coordinated…
Readers added context they thought people might want to know
OpenAI may claim a role in the coordinated response and patching process. But the initial discovery and exploit development, however, occurred several months earlier by an independent researcher.
x.com/lcfr_hax/statu…
deepseek just open sourced DeepInfer, the inference stack they run in production
same thing powering V4.1-Flash at scale
high throughput, low latency, lower compute costs
as a solo builder i love this part
labs sharing the boring infra, not just the weights
who's self hosting this first?
🚀 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
mercury 3 just dropped. diffusion llm, 1,000+ tokens per second
inception says it beats gpt-6 luna and claude haiku 5.5 on a range of benchmarks
40x bigger than mercury 1, 1M context, already on openrouter
as a solo builder the speed part is what gets me
instant replies change how an app feels
anyone tried diffusion models for real agent loops yet?
Mercury 3 is live: the most capable diffusion LLM released to date.
It outperforms GPT-6 Luna and Claude Haiku 5.5 across a range of benchmarks while running at over 1,000 tokens per second.
More than 40x the size of Mercury 1, 3x more intelligent across standard benchmarks, and just as fast, with a 1M-token context window.
Available today on the Inception API, @baseten, and @OpenRouter .
minimax m3.1 flash — space bunny was them the whole time
200t+ tokens on the boards as a mystery model, now it has a name
frontier agent scores at flash prices. weights said to land oct 23
anyone actually shipping with this yet, or still all deepseek for cheap agents?
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
elorian glimpse is a vision model that goes back and re-checks the image while it thinks
zooms in, pulls video frames, measures with code
$0.60 per million input tokens
would you trust it to review your app screenshots?
NEWS: ELORIAN RELEASES FIRST MODEL GLIMPSE AT $0.60 PER MILLION TOKENS
> Elorian AI released Glimpse on Oct 16 as a research preview through its API and chat.
> Pricing is $0.60 per million input tokens and $3 per million output tokens.
> Elorian says Glimpse beats GPT-6 Astra on four evaluations and matches it on embodied reasoning.
> The company says a small team built it with a few hundred GPUs on top of an open-weights base model.
> CEO Andrew Dai previously spent 12 years at Google DeepMind.
SOURCE: Elorian
openai aurora red, green and blue alpha just showed up in the api
no announcement, no pricing, people trying them get 503s
apparently the last aurora-alpha showed up right before a codex release
my guess is a fast coding model. what's yours?
building a dog app solo from ukraine
who else here is building something alone? drop it, i'll check it out
Gemini 4 Argon is now in Antigravity for Google AI Pro
i'm on Pro, so i'm finally getting to try it
the catch: Argon has its own weekly quota, no 5h refresh
the good part: it doesn't eat your 3.8 Flash bucket
what should i test first?
We’re rolling out Gemini 4 Argon in Antigravity to paid Google AI Pro subscribers today. Demand has been incredible and we've scaled capacity deliberately to get here. We’ve rolled out a separate weekly-only Argon quota for Pro on top of the existing Gemini bucket for 3.8 Flash so you have the best of Gemini for all your tasks.
i lost my dog. that's why 𝗖𝗵𝗼𝘄𝘆 exists 🐶
next up: wearables, basically an oura for dogs 🐾
what's the one thing you wish your dog could tell you?
be honest builders 👇
how much of your code did AI write this week?
1. under 25%
2. about half
3. 90%+ and i'm scared 💀
ok X, real talk 🙏
i lost my dog.
so i started building 𝗖𝗵𝗼𝘄𝘆 🐶 so other dog families don't miss the signs
chowy.pet
solo, from 🇺🇦, on Gemini Pro
next: wearables, an oura for dogs 🐾
i wish i could build it with 𝗔𝗿𝗴𝗼𝗻 on Ultra
and post every step here, for free, for everyone
@OfficialLoganK @GoogleAI if this reaches you 👀
one RT might get it there 🔁
E_genius retweeted
Explore the latest advances in native audio models and the challenges of building better real-time voice experiences with @GoogleDeepMind + @SierraPlatform.
Learn about conversational latency, multilingual code-switching, agentic voice tasks, and more →goo.gle/4hKV9B5
argon on flock api 🔌
1M context · multimodal · function calling
built for coding + research + multi-step agents
distribution is the new moat. google is 𝐬𝐡𝐢𝐩𝐩𝐢𝐧𝐠 it everywhere @GoogleAI
Gemini 4 Argon is now available on FLock API Platform.
@GeminiApp's new flagship reasoning model is built for complex coding, research and multi-step agent workflows, with native support for text, images, audio and video.
1M-token context, multimodal inputs, function calling, structured outputs and adjustable reasoning depth.
All through a single endpoint, FLock API.
google deep review = 2 free paper reviews/week on 𝐚𝐫𝐠𝐨𝐧 📝
academia quietly getting a frontier model for edits
that's how papers get better, not just flashier
wish i had ultra to run this on my own drafts 🙏 @GoogleAI
AI for academic research:
2 free paper reviews per week from Google's Deep Review, powered by new Gemini 4 Argon.
Google just launched Deep Review for reviewing draft papers.
You can pay for more. BTW, If you're revising more than 2 papers a week--how?
research.google/deepreview/
