AI researcher & reporter | I test new models on launch day, build working demos, and post prompts + results | Code: https://xitter.cf/t.co/y96A3VQTWC
Joined December 2024
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Chetaslua retweeted
Yesterday we announced our series A to reimagine CRM as a business world model.
I wanted explain what we mean by that, and why the CRM is the practical place to start building something much larger.
Chetaslua retweeted
Wonderful has raised a $550M Series C at a $5 billion valuation.
This latest funding was led by @insightpartners, with @salesforce joining as new investors and @IndexVentures, @BessemerVP, @IVP, @VineVenturesLP, and @9yardscapital returning.
In 20 months since launch, we're in production with hundreds of agents, systems, and workflows across a dozen verticals in over 30 markets.
With this new capital, we’ll be overdelivering for our customers, hiring hundreds of cracked engineers, FDEs, and former founders, and expanding our product capabilities across the entire enterprise.
Stay tuned 👀
Chetaslua retweeted
The future of AI belongs to the humans behind it.
There’s a common fear that as AI gets better, people get pushed out of the picture. We believe the opposite is happening.
AI is creating entirely new categories of work, and an entirely new economy around the people whose knowledge, judgment, and experience are helping these systems improve.
Today, tens of thousands of experts are actively contributing to AI training projects through micro1. Over time, we believe this will grow to tens of millions+.
And if humans are going to play such a critical role in building the future of AI, the companies they work with should raise the standard for how they’re supported.
Today, I’m proud to announce the micro1 Expert Support Program.
We’re building a new set of protections, resources, and support for our expert community, starting with:
-Expert Bill of Rights: a clear set of commitments outlining what experts can expect when working with micro1.
-Rest Credits: paid time away from projects when experts need or want a break.
-Expert Emergency Fund: financial support for experts facing emergencies.
-Mental Health & Coaching: new resources to support expert wellbeing and growth.
-Confidential Support Line: a confidential way to ask questions, seek support, or raise concerns related to pipelines.
Within the next two weeks, every expert currently active with micro1 will receive an email with the full program details and launch dates.
AI is going to keep getting more capable. The opportunity in front of us is to make sure the people helping build it benefit from that progress too.
Chetaslua retweeted
Passed book counting test. Seedream 5.0 just did it first try
been testing the new model from BytePlus all day and the control level is the actual story here, not just the pretty outputs
>the test: bookshelf with exactly 1 / 3 / 7 books per shelf — one-shotted it, count it yourself
>precise interactive editing: scribble red-pen annotations on an image and it executes ALL of them in one go
>text rendering: full posters, receipts, manuals with clean readable text
@BytePlusGlobal @lumina_ai_aiart
🤝 Paid partnership · 🤖 Made with AI
Chetaslua retweeted
Everyone's chasing bigger GPU clusters, but the real bottleneck in most AI training setups isn't compute — it's storage.
What caught my attention about @KAYTUS_ 's new All-QLC flash architecture is how directly it addresses this. When you're running 10,000 GPUs in parallel, feeding them data fast enough becomes the actual engineering challenge. Traditional storage just wasn't built for this scale.
The QLC approach makes a lot of sense here. AI training workloads are overwhelmingly read-heavy — loading datasets, checkpointing models, shuffling batches. Paying a premium for TLC write endurance doesn't really add up when your workload barely writes. QLC delivers more capacity per dollar with better economics at scale.
The specs back it up: 10 TB/s aggregate bandwidth, 100 million random-read IOPS, and GPU utilization above 95%. That last number matters most — idle GPUs are expensive GPUs, and even a small utilization gain across 10,000 GPUs translates to massive savings.
The 70% lower 5-year TCO compared to TLC is also worth paying attention to as clusters continue scaling.
The AI infrastructure race is evolving from "who has the most GPUs" to "who keeps them productive." Storage is one of the most overlooked pieces of that puzzle, and KAYTUS is making a compelling case for solving it.
🤝 Paid partnership
Chetaslua retweeted
AI can now make you a great parent.
Introducing Ollie: the world’s first AI family assistant that manages your family life better than any human.
Here’s how it works:
Chetaslua retweeted
Introducing Starchild-1 from @odysseyml, the first ever real-time multimodal world model.
This a model that can generate interactive simulations of the world that you can—for the first time ever—hear.
Starchild-1 represents a big step towards a general-purpose world simulator.
Chetaslua retweeted
Introducing M2.5, an open-source frontier model designed for real-world productivity.
- SOTA performance at coding (SWE-Bench Verified 80.2%), search (BrowseComp 76.3%), agentic tool-calling (BFCL 76.8%) & office work.
- Optimized for efficient execution, 37% faster at complex tasks.
- At $1 per hour with 100 tps, infinite scaling of long-horizon agents now economically possible
MiniMax Agent: agent.minimax.io
API: platform.minimax.io
CodingPlan: platform.minimax.io/subscrib…
Chetaslua retweeted
Svg can be coded this good 😳
Gemini 3.0 flash makes this and now I can see why everyone is so hyped , thanks chetas for running promptly for me
Prompt : make a svg of spongebob
Chetaslua retweeted
👀Introducing a brand new @yupp_ai SVG leaderboard ranking frontier models on the generation of coherent and visually appealing SVGs!
Gemini 3 Pro by @GoogleDeepMind takes the crown as the most powerful model! 👏
We’re also releasing a public SVG dataset. Details in🧵
