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Incredibly excited to come out of stealth and launch Liquid Energy.
We are building the fastest path to abundance with energy and intelligence for everyone.
Intelligence is Liquid Energy.
We built a new type of datacenter for AI inference. We call it NanoDC.
NanoDC is a solar-powered autonomous datacenter that can be deployed anywhere on the planet in 4 weeks.
11 Trillion will be invested in AI compute over the next 4 years. Most of this will be for inference and most of it will be severely delayed: stuck in grid interconnect queues, site permits, or supply chain issues. NanoDC sidesteps these issues completely.
NanoDC is built rapidly at a factory and shipped to the site ready to be turned on in 30 minutes. It generates its own power with solar and batteries. You open the door and the solar panels fold-out like an accordion. The compute is cooled with patent-pending high-density air cooling. It connects to the internet via Starlink.
No construction. No grid interconnect. No Water supply.
It never waits for transformers and turbine generators either.
Getting more compute is as easy as dropping more units and turning them on.
The first units will be live this month. Thousands will be shipping starting 2027.
Sunlight in. Tokens out.
Transpose Platform retweeted
Replying to @AnthropicAI
@AnthropicAI is betting up to 5 GW on @awscloud Trainium. We wanted the latest open models flying on it too but there is ZERO support for those.
So we wrote megakernels and open-sourced TrnRT: Our Tranium inference engine
Running @Zai_org's 320B GLM-5.3-Flash on one Trainium2 box, producing 3.57 M tokens per minute, measured on real coding agent traffic via @SemiAnalysis_'s AgentX.
Trying a new AI chip used to be a lot of work. You often had to rewrite your code, revalidate it, and sink many weeks in, betting this new chip is the right one for your workload.
That cost time and money, and wore on the team. Your best people got buried in plumbing instead of building the thing they came to build.
TorchNeuron is going to largely take that off the table, enabling your existing PyTorch code to run natively on Trainium with one configuration change and no rewrite.
With Trainium’s very appealing price-performance characteristics, TorchNeuron is going to make it even easier for more companies to use AI more cost-effectively. aboutamazon.com/news/innovat…
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Agent memory gets harder the longer a chat runs.
We wondered: how well does Observational Memory hold up at 100K, 1M and 10M tokens? So we ran it on BEAM, the long-term memory benchmark, with default settings.
Turns out it has the top published scores at 100K and 1M:
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Today we're launching the Imagine AI V2 agent that runs ur team's linkedin
Most startups know linkedin is powerful. The founders should post, the team should post, and someone should follow up with the people who engage. Nobody has the time so it doesn't happen
So we built an agent that does it. It has its own computer and browser and u talk to it like a teammate in slack or on our app
1. It writes posts and graphics in each person's voice from ur site, deck and past posts
2. It knows what works from our research on millions of b2b engagement data points
3. It tells u who engaged, if they fit ur icp and if they're already in ur crm
4. It sends messages, connection requests and comments for u once u approve
In the film the clone at my desk is my agent. The dark room is my network and he knows everyone in it
u never need to go on linkedin again
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Finally, you can get real healthcare directly from your Claude, ChatGPT, GrokBot, Muse, or Instinct.
Just tell them to use FutureClinic. Agents welcome.
Healthcare will never be the same again.
Backed by @ycombinator
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Superset is now Paradev: The code editor that helps engineers run armies of coding agents.
We just raised an $11.5M Seed round led by @usv with @ycombinator to redefine how software is written.
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Today we're sharing a major milestone for BioStack:
We’ve raised $9.5 million from @peakxvpartners, @EmCollective, @DCVC, @AforeVC, @VerdictCap and @ycombinator among several others to build the data foundation for the next generation of healthcare AI.
🧵
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Today we're launching Astor 2.0: your personal investing agent.
Horizontal agents are cool. But my take is that vertical agents are the next big thing. Your investments deserve an agent that's tailor-made, fully regulated and built to last.
Free to start on iPhone, both app and iMessage: astor.app
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Cancer patients with the same diagnosis often have very different tumor biology.
Molecular testing can reveal underlying differences, but that's slow and expensive.
Introducing Holon-S1, our platform to predict genes and biomarkers from routine pathology slides.
• beats two other models at predicting spatial gene activity in a controlled comparison
• has identified potentially novel biomarkers in breast cancer and colon cancer
• evaluated across 16 organ types and more than 15 scanners, using slides from both formalin-fixed, paraffin-embedded and fresh-frozen tissue.
We believe Holon-S1 has the potential to help researchers find new biomarkers in slides they already have, discover treatment targets, and bring more personalized cancer care within reach!
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We tracked 278,000+ LinkedIn posts from 1,097 B2B companies.
The median founder or exec earns 39 reactions on a typical post. The median company page earns 23.
Today we're launching the Imagine AI Benchmark: who wins LinkedIn in B2B, ranked daily.
benchmark.useimagine.ai/aren…
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Today we’re launching Overlap Campaigns: a team of AI agents that run clipping campaigns on social accounts you own, priced based on the views they generate.
Clips have become both the content people consume and the ads for the businesses behind it. The same clip can introduce someone to a creator, promote what they sell, and generate revenue itself.
Someone might never watch your full podcast or show. They can still see your clips regularly, get to know you, and become a customer. For that person, the clips are the show.
That has made clipping an essential part of promotion and monetization for creators and creator-led businesses.
Running a "clipping campaign" used to mean wrangling freelance clippers in Discord who publish your content on accounts you don’t own.
Overlap Campaigns gives that work to a team of agents. You set the budget. They find moments in your content library, edit them into clips, and publish across your accounts.
This is why @Overlap_AI works with thousands of creators to turn their content into reach and revenue.
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Very excited about this one: Today we're launching the b12 Foundry in partnership with the High-Throughput Experimentation Lab at the University of Zurich. AI can now design a molecule in seconds, but making it can still take a chemist several weeks. b12 Foundry closes that gap. b12-labs.com/foundry
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We're excited to announce that we have raised a $6.1M seed led by @645ventures, with @ycombinator, @January_Capital , @RebelFund_VC , @sterlingroadvc , @transposevc and prominent angel investors including @nejatian @iEchoic @sternhenri @ooshma 🚀
AI prototypes were act one. Act two is PMs, designers and ops shipping high quality PRs on the real codebase, even across multiple repos, with engineering in control of every merge.
Story in @BusinessInsider 👇
businessinsider.com/lightspr…
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Introducing XPU Grasshopper, an AI chip co-designed with AI for the era of recursive self-improvement
It went from its first tokens to 816x faster in 13 weeks
Pre-order the FPGA devkit: zscc.ai/grasshopper
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Introducing interfaze-1-lite, the first general open-weight model for deterministic work
OCR, speech-to-text, extraction, classification and more
It returns confidence scores and metadata like bounding boxes on every run
huggingface.co/interfaze-ai/…
Readers added context they thought people might want to know
Interfaze appears to have copied the Chandra OCR 2 model, renamed it, and changed the license, without disclosing that the model is not orginal. See x.com/VikParuchuri/s…
Today we're excited to announce @HalluminateAI's $30M Series A led by @oakhcft with participation from @YCombinator, @orangecollectv, @FTPartners, @heavybit, and more.
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Introducing NetworkOcean.
Our future is bottlenecked by the speed at which we can deploy power.
We’re building floating solar arrays powering data centers at sea. This will soon be the fastest way to deploy new compute, skipping years of land, grid connections, and traditional infrastructure delays.
Our 2030 target is 1 GW/week.
@network_ocean_
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Introducing Polly 🦜
Polly ships this fall. The app behind Polly:
1. 2.1M lessons completed, 2.3M+ min of Spanish immersed (4 years of Spanish immersion)
2. 31 min avg session (Instagram's global avg is 35)
3. Power users doing 5.5+ hrs/day
4. 620K+ learners
Get your own Polly. Link below.
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Today we’re announcing our pre-seed round and a new product: @starslingdev Review Runners - code review agents that use your model key, your team’s skills and scripts, and reviewers you define, all running in GitHub Actions.
We’ve raised $3M from @BessemerVP and @ycombinator to make code verification agent-native.
code → verification (ci + code review) → production

























