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Joined September 2021
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It’s over… This tool killed Photoshop
Ideogram just changed the image generation game, and GPT Image 2.5 is lagging behind.
10 mind-blowing examples: (Must check #6)👇
Anthropic just launched the OpenAI Dots competition.
Claude Duet is here; it's an AI agent that doesn't just wait for your prompts.
Here’s what it does:
→ Identifies what needs your attention
→ Completes tasks while you're away
→ Works across your connected apps
→ Checks with you before taking important actions
It’s built around Claude Opus 5.5, with memory and skills carried over from your Claude account.
Only 1.3B parameters… and THREE benchmark wins 🤯
#1 on olmOCR-Bench, OmniDocBench and DocParsingBench
Fastest open-source parser in the test ⚡
100 pages, 101 seconds, one RTX PRO 6000
15.43× Chandra-OCR-2's throughput
Handwritten notes, complex tables, even chemical structures
Open source, replaceable layout model
That's OXR. Which document would you throw at it first?
github.com/SoMarkAI/OXR
🤝 Paid partnership
Poonam Soni retweeted
🚨 Google just turned Gemini into an AI employee for small businesses.
Whether you’re a freelancer, a founder, or a creator selling your own stuff, this one is for you.
Here’s what’s new:
→ There’s a new business hub inside Gemini where you can handle branding, finances, and customer insights in one place.
→ You upload your logo, fonts, and brand colors once, and Gemini remembers them for every post or product image it makes.
→ You can drop in messy spreadsheets or receipts, and it turns them into simple charts so you can actually understand your numbers.
→ It connects with Google Business Profile, Google Ads, and Workspace, plus apps like Canva, Shopify, Zoho, and Xero.
Google says tens of millions of small business owners already use Gemini. One farmer in Maharashtra even used it to plan his whole ginger farm without any formal training.
It’s rolling out to all Gemini app users over the next few days.
Poonam Soni retweeted
This is crazy...
AI just helped build an AI model from scratch in under 4 months.
Recursive just released Flint, a 40B-parameter coding model built using its automated AI research system, the Eureka Machine.
Here's what makes this interesting:
→ The AI research system helped improve the model's architecture and training.
→ Flint is open-weight under Apache 2.0.
→ It runs locally, so your code can stay on your own hardware.
→ It delivers 125+ tokens/sec on a MacBook at short contexts.
AI is starting to help accelerate the research that builds the next generation of AI.
And this could be just the beginning.
🤝 Paid partnership
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
This is crazy...
AI just helped build an AI model from scratch in under 4 months.
Recursive just released Flint, a 40B-parameter coding model built using its automated AI research system, the Eureka Machine.
Here's what makes this interesting:
→ The AI research system helped improve the model's architecture and training.
→ Flint is open-weight under Apache 2.0.
→ It runs locally, so your code can stay on your own hardware.
→ It delivers 125+ tokens/sec on a MacBook at short contexts.
AI is starting to help accelerate the research that builds the next generation of AI.
And this could be just the beginning.
🤝 Paid partnership
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Poonam Soni retweeted
I asked Claude to rank the top 50 AI tools. It put itself at #1. 😂
But that's not all.
- Claude Code ranked #1 for coding.
- Nano Banana Pro took the top spot for image generation.
- Gemini Omni won video.
- ElevenLabs topped voice.
I asked Claude to pick the best tools across 10 categories, from AI assistants and coding to research, automation, and music.
Some rankings make sense. Others are going to start arguments. 👀
How many of these rankings do you disagree with?
Save this list for later.
I asked Claude to rank the top 50 AI tools. It put itself at #1. 😂
But that's not all.
- Claude Code ranked #1 for coding.
- Nano Banana Pro took the top spot for image generation.
- Gemini Omni won video.
- ElevenLabs topped voice.
I asked Claude to pick the best tools across 10 categories, from AI assistants and coding to research, automation, and music.
Some rankings make sense. Others are going to start arguments. 👀
How many of these rankings do you disagree with?
Save this list for later.
What I like about how Voice Arena ranks these: native speakers, blind A/B pairs, no self-reported numbers. Voxtral from Mistral comes in at #6 of 20 in Hindi.
🤝 Paid partnership
Mistral AI's Voxtral-mini-tts-3-0 debuts at #6 of 20 on the Voice Arena Hindi 🇮🇳 TTS Leaderboard at 1048 Elo, ahead of Maya Research's Maya-2-Native, ElevenLabs' Eleven v3 and Cartesia's Sonic-3.5.
Voxtral-mini-tts-3-0 is the latest TTS model from @MistralAI , part of the Voxtral 3 release, with support for 35+ languages and 50+ dialects. Every ranking on Voice Arena comes from blind, head-to-head votes by vetted native speakers, scored with Bradley-Terry Elo.
Only Google DeepMind, ElevenLabs and Cartesia place models above it, which makes it the highest-ranked model on the Hindi board from any other lab, in a tight group where Maya-2-Native and Eleven v3 sit within 4 points.
Results backed by 600+ blind, head-to-head listener votes from native Hindi speakers.
Voxtral-mini-tts-3-0 is also being evaluated on our US English board, with results coming soon.
Congratulations to @MistralAI on the release!
See below for the exact audio raters judged and unedited listener verdicts 🧵
🚨 Google just turned Gemini into an AI employee for small businesses.
Whether you’re a freelancer, a founder, or a creator selling your own stuff, this one is for you.
Here’s what’s new:
→ There’s a new business hub inside Gemini where you can handle branding, finances, and customer insights in one place.
→ You upload your logo, fonts, and brand colors once, and Gemini remembers them for every post or product image it makes.
→ You can drop in messy spreadsheets or receipts, and it turns them into simple charts so you can actually understand your numbers.
→ It connects with Google Business Profile, Google Ads, and Workspace, plus apps like Canva, Shopify, Zoho, and Xero.
Google says tens of millions of small business owners already use Gemini. One farmer in Maharashtra even used it to plan his whole ginger farm without any formal training.
It’s rolling out to all Gemini app users over the next few days.
Poonam Soni retweeted
General Compute just signed a multi-year partnership with @positron_ai to bring Positron’s AI chips into its cloud.
They’re starting with Positron’s current system, called Atlas. Next comes Titan, a bigger system with far more memory. Customers can use it from Q1 2027.
Here’s why this matters.
When an AI model writes an answer, it creates one word at a time. For every word, the chip has to pull data from memory. Most of that time is spent waiting on memory, not doing math.
The special memory GPUs rely on is in short supply right now. Positron’s chips are built around memory and don’t depend on it.
So General Compute is splitting the work. GPUs read your prompt. Positron’s chips write the answer. You get one endpoint and one contract.
🤝 Paid partnership
Our heterogeneous cloud just got better. We're announcing a cluster scale deployment of @positron_ai as our next partner.
We believe demand for fast inference will outstrip supply for the next decade. Our bet on Positron is another step towards getting fast inference for opensource models into builders' hands.
Hardware goes live Q1 2027.
Thanks to @mitesh711, @trsohmers and the whole Positron team! We're excited for this partnership.
LFG!
Poonam Soni retweeted
AI made posting easy. But made every brand look the same.
That’s the worst part.
Vyb is AI too, but it starts from your actual brand. You put in your website and it picks up your logo, fonts and colors. Your product photo stays your product photo, it doesn’t redraw it.
Everything sits on its own layer, so you can change just the headline and leave the rest alone. Then export to Figma and keep going.
🤝 Paid partnership
I launched the first image and video generation models at Google, and kept asking why all AI designs look the same.
AI has brought us the WORST era of design.
It made content creation effortless, but it also made 90% of it look painfully generic.
My co-founder and I spent 2 years building in stealth to change that.
Meet Vyb, the first AI design model that understands your taste like a designer would.
RT + comment your website URL and we’ll make your first design.
General Compute just signed a multi-year partnership with @positron_ai to bring Positron’s AI chips into its cloud.
They’re starting with Positron’s current system, called Atlas. Next comes Titan, a bigger system with far more memory. Customers can use it from Q1 2027.
Here’s why this matters.
When an AI model writes an answer, it creates one word at a time. For every word, the chip has to pull data from memory. Most of that time is spent waiting on memory, not doing math.
The special memory GPUs rely on is in short supply right now. Positron’s chips are built around memory and don’t depend on it.
So General Compute is splitting the work. GPUs read your prompt. Positron’s chips write the answer. You get one endpoint and one contract.
🤝 Paid partnership
Our heterogeneous cloud just got better. We're announcing a cluster scale deployment of @positron_ai as our next partner.
We believe demand for fast inference will outstrip supply for the next decade. Our bet on Positron is another step towards getting fast inference for opensource models into builders' hands.
Hardware goes live Q1 2027.
Thanks to @mitesh711, @trsohmers and the whole Positron team! We're excited for this partnership.
LFG!
AI made posting easy. But made every brand look the same.
That’s the worst part.
Vyb is AI too, but it starts from your actual brand. You put in your website and it picks up your logo, fonts and colors. Your product photo stays your product photo, it doesn’t redraw it.
Everything sits on its own layer, so you can change just the headline and leave the rest alone. Then export to Figma and keep going.
🤝 Paid partnership
I launched the first image and video generation models at Google, and kept asking why all AI designs look the same.
AI has brought us the WORST era of design.
It made content creation effortless, but it also made 90% of it look painfully generic.
My co-founder and I spent 2 years building in stealth to change that.
Meet Vyb, the first AI design model that understands your taste like a designer would.
RT + comment your website URL and we’ll make your first design.
Poonam Soni retweeted
Finally, a robot I actually want in my home.
Tuesday Labs just launched Voxel, a droid butler designed to make living with robots feel natural.
He can:
→ Reset your home by putting things back where they belong
→ Fetch things for you
→ Find misplaced items like your sunglasses
→ Take care of your plants
Voxel is expected to ship in 2028, and the first production run is limited to 999 numbered units.
You can reserve one for $200.
🤝 Paid partnership
Finally, a robot I actually want in my home.
Tuesday Labs just launched Voxel, a droid butler designed to make living with robots feel natural.
He can:
→ Reset your home by putting things back where they belong
→ Fetch things for you
→ Find misplaced items like your sunglasses
→ Take care of your plants
Voxel is expected to ship in 2028, and the first production run is limited to 999 numbered units.
You can reserve one for $200.
🤝 Paid partnership
the Viggle meme app went viral off one piece of what their tech can do: making a character move.
JST-2 is much more of it, 3D characters, motion and scenes from one physics-native world model.
if one piece got that big, I want to see what they build on the rest
🤝 Paid partnership
Today we are releasing JST-2, the world's first full-stack physics-native world foundation model.
Many world models learn in pixel/video space. We went back to first principles and built the entire model stack in 3D.
Generate a 3D scene in seconds and expand it in real time. Create characters with motion built in, all through one general architecture.
This is insane.
You can now turn a rough 2D sketch into a full CAD build sequence, and it’s 100x faster than GPT Astra.
You can now design with an AI that fixes the “ugly” side of LLMs.
LLMs are good at general learning, common sense and zero-shot prompts.
They’re bad at hallucinations, simulating the future and memory.
The ugly part:
→ Inference that eats tokens
→ Planning that breaks on long tasks
Skyfall AI built SKY-001, a world model for engineering, to go after exactly that:
→ 100x faster and 150x cheaper than GPT Astra at CAD and BIM
→ Handles designs with thousands of connected parts
→ Sketch or prompt in, full CAD build sequence out
→ Opens in tools like Autodesk Fusion
🤝 Paid partnership
Introducing SKY-001, the first Engineering World Model.
On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested:
-> 51-125x faster
- > 150-210x cheaper
-> Higher IOU than all frontier models
SKY-001 lets you dream a physical object before you build it.
18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch).
The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.