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Hyperstition Verified account @hyperstition_cc · 4d

We invented a recursive megakernel generator called Hyperkernel, the most complete solution to megakernels and GPU efficiency.

Hyperkernel-generated megakernels achieve state of the art performance on 11 different domains: inference (DeepSeek, Kimi and GLM), pretraining (Qwen), hardware fault recovery, robotics (π₀-FAST, ACT) diffusion and real time world models (Matrix-Game), full self driving (OpenPilot), voice models (Moshi), genomics (Evo 2) and protein folding (ESMFold).

All of this in a single kernel launch.

For context, Hyperkernel generated fully optimized megakernels for robotics, genomics and voice in under 50 minutes, and doubled the efficiency for >5 models generally using only about 60-100 lines of code per megakernel. This speaks to the unparalleled standard for code quality in the automated generations.

Our first release today open sources the megakernels themselves. Over the next couple weeks, we will release the entire Hyperkernel stack, along with the complete serving stack for Kimi and GLM (20-30% inference efficiency gains across all concurrencies).

Out of the box GPU machinery performs terribly for unorthodox research. We built Hyperkernel only 20 days ago for internal use; but given its multi-modality, we have decided to open source it.

Creative research should not be bottlenecked by the lack of dedicated infra teams. Hyperkernels offer a one stop shop infra stack for all research. We would love for the open source community to add to it :)

GitHub repo: github.com/Hyperstitioncc…

NOTE: We primarily use NVIDIA B300s, but our kernel generation extends to other hardware (B200s, AMD, TPUs).

1/9

We absolutely crush NVIDIA and achieve the best low latency inference for DeepSeek v4.1 Flash.

Compared with NVIDIA’s published vLLM results, Hyperkernel delivers:

• 36.7% higher per-user generation speed at concurrency 1.

• 28.2% higher per-user speed while serving two users, versus NVIDIA serving one.

• 15% higher per user speed while serving four users, versus NVIDIA serving one.

• 90.6% higher per-user generation speed at concurrency 4, compared with the highest published C4 AgentX interactivity for TP4 B300s.

• 28.5% higher per-user generation speed at concurrency 8, compared with NVIDIA's published result.

• 36% faster median per-request decode speed.

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Ronak Malde Verified account @rronak_ · Nov 2

Imagine if everyone had the tools to shape intelligence itself. That day is today.

Today we launch the Trajectory platform - the easiest and most intuitive tool to post-train models of your own. The foundation for continual learning.

With just a few agent prompts, you get access to a full creative suite to train, eval, and deploy trillion parameter models.

On top of that, we believe in a future where you don’t just shape your model once, it also keeps learning on its own from the world around it.

We’re releasing two research previews.

1. Continual grading scales your taste, so your model learns what good looks like from far more than you could ever grade by hand.
2. GS1, a new algorithm that lets models learn directly from what they do in production.

We’ve now raised 60M, with a new round led by @Sequoia at a 300M valuation to democratize the most powerful technology of today - training models - so that the lawyers, doctors, and engineers of the world can own their own intelligence.

You know what good looks like, now go build it. Own your own value function with Trajectory.

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Dylan Babbs Verified account @dbabbs · Feb 24

Today, @profound is excited to announce our $96M Series C at a $1B valuation, led by @lightspeedvp with participation from @sequoia, @kleinerperkins, @mattevantic, @saga_ventures and @spc.

When we started Profound 18 months ago, we had two fundamental beliefs about where marketing is heading:

1. Every company will care deeply about how AI talks about their brand.
2. Every marketer will use AI Agents to do their best work, faster.

Those beliefs are becoming reality faster than we imagined.

Now, we serve more than 10% of the Fortune 500 and are the number 1 leader on the G2 grid for AEO.

To double down on that momentum, we’re taking two big swings:

𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗔𝗴𝗲𝗻𝘁𝘀: AI workers that take marketing teams from concept to execution.

𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆: certifications and cohort-based learning for marketers who want stay at the forefront of AI marketing.

Reply with 𝗔𝗚𝗘𝗡𝗧 for free access to one of our most popular agents. No account required and no strings attached.

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Abhijay Rana Verified account @abhijaymrana · Feb 3

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Grace Li Verified account @grx_xce · Jan 27

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