Deep in Agents, LLMs and automation · Open source at ♥ · Sharing AI gems daily to help you work smarter · Ex-data scientist @Snowflake | @Streamlit ·
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REAL 3D SCENES IN ~1 SECOND. UNDER $0.01 IN COMPUTE.
Meet JST-2, Viggle's physics-native world model.
Unlike AI video models that generate pixels, this one builds actual 3D scenes.
And it's all in one model:
→ Photo to character
→ Built-in motion, zero rigging
→ Text to motion
Characters come ready to animate.
In Viggle's blind tests, JST-2 beat every specialist model they benchmarked.
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.
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The best part about Chroma Season 2?
> $450K+ in cash prizes
> $1M in free trials & promotions
> Unlimited entries
Experiment, try something ridiculous, learn from it, and submit something completely different the next day.
how creative competitions should work my friends 👊
The Chroma Awards are back for Season 2. With $1M in free trials and promotions and over $450,000 in cash prizes and travel perks, it’s bigger than ever.
Submissions are now open.
Presented in partnership with @capcutapp, @TheCantinaApp, and @runware.
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CAD DESIGN. BUT UP TO 125X FASTER 🤯
and WAY cheaper, too!
@skyfallai's new SKY-001 breaks complex objects into components, sketches each part, reconstructs everything in 3D.
18 mths in the making, built by a team from Maluuba's deep learning lab (acq'd by Microsoft Research)
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.
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Last week, these guys jumped out of a plane to promote Pancake.ai.
This week?
They've stacked 100+ of SF's top GTM engineers into a one-click follow list.
I NEED TO SIT IN ON ONE OF THEIR MARKETING MEETINGS 😂
100+ of SF’s most cracked GTM engineers
follow everyone at gtmstack.fyi
who did i miss?
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WAIT... YOUR GROUP CHAT CAN BUILD SOFTWARE NOW 🤯
Wabi generates interactive mini-apps inside conversations, alongside AI agents that help get things done.
→ School pickup changes? Update the family calendar.
→ Planning a trip? Pick dates, build the itinerary and book it.
→ Fancy a show? Find a night that works and get tickets.
Your people, the apps and the agent, all in one thread.
you bet i’m following this 👀
Wabi 2.0 is live!
personal agents are one person, one chat. but the parts of life that matter run on more than one person
Wabi is an agent you use together. you talk to it, it does stuff, builds the apps you need, and anyone can join the thread - your partner, your best friend, the preschool moms groupchat
school changes pickup time → Wabi updates the family calendar, everyone sees it.
a show you’d both love → Wabi finds a night that works, gets the tickets.
the trip everyone keeps talking about → Wabi picks the dates, builds the itinerary, books it
go start a thread with your people 👇
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WAIT, GPT IMAGE FOR $0.004 PER IMAGE? 🤯
That's @sunra_ai's launch price for GPT Image 2.5. CHEAPEST OUT THERE
Sunra MCP also brings Seedance, Nano Banana and more into the AI assistant you already use.
Model-maker API pricing, no added markup.
Creative experimentation just got cheaper.
SAVE THIS
Today we're launching Sunra MCP, with the most accessible pricing in the industry.
Every leading image, video and audio model, right inside Claude, ChatGPT and the AI assistant you already use. Each one at its maker's own API price, with no markup added.
Now is the time to build. Go create something no one has seen before.
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THEY SMASHED A MAC MINI. IT WORKED.
2.2M VIEWS. 3,000 DOWNLOADS.
But AgentCloak's launch wasn't just a stunt.
Step 1: Big creators sparked the buzz
Step 2: Smaller accounts kept it going
Step 3: The founder's network reached buyers
Reach is nice. Relevance converts 💪
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THE NUMBERS ARE GETTING RIDICULOUS
Polsia's reported run-rate milestones:
→ $1M after 12 weeks
→ $10M another 10 weeks later
→ $20M just 6 weeks after that
→ Approaching $25M, with $100M ARR as the next ambition
Growth that speeds up at each milestone is worth paying attention to 👀
Now the real question: can Polsia v2 turn that momentum into something sustainable?
Polsia is about to hit $25M run rate.
Next stop: $100M ARR.
And things keep accelerating:
$0 → $1M in 12 weeks
$1M → $10M in 10 weeks
$10M → $20M in 6 weeks
I just published one of my favorite and most successful aisloP episodes yet: “The Run Rate.”
I tell the whole story, from idea to $20M, month by month.
The episode ends in Tokyo, where I went a few weeks ago.
Probably the best place on Earth to take a deep breath, get inspired, and rethink what’s possible.
I came back with an even bolder vision for Polsia.
The road from $25M to $100M is going to look very different.
Polsia v2 is coming soon.
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WAIT.. 1¢ PER PROMPT TO FIND OUT WHY AI RECOMMENDS YOUR COMPETITORS?!
🚨 @treg_ai’s new open-source AEO toolkit shows you the pages behind those answers and the people who wrote them:
→ see which sources AI cites
→ find the people behind them
→ draft outreach to get your product considered
.. and more!
run it from Claude Code. or Codex.
Self-hostable. No subs!
Best part?
Open source. Full code on GitHub. Repo in 🧵↓
Introducing OpenSource AEO Toolkit
- Find every source AI cites, and the author behind it
- Get your product into the sources AI trusts
- 1¢ per prompt, no subscription
- Access 4000+ data & services
Try it at treg.to/aeo
Partner with @cloroai
Repo link below 👇
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Treg's open-source AEO toolkit is here
→ github.com/superdesigndev/tr…
Big shoutout to @treg_ai for building this and making it open-source for the SEO community 🤗
Don't forget to drop a ★
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Charly Wargnier ♨️ retweeted
WHAT?! GOOGLE JUST OPEN-SOURCED SELF-IMPROVING AI AGENTS 🤯
It's called Harness², and it lets agents rewrite their own harnesses to get better at new tasks.
100% open source.
Here's how it works:
1. Propose changes to prompts, tools, memory, skills, and other components
2. Probe each change by running the actual task
3. Compose the best changes into an improved harness
No retraining. No ground-truth answers. Model weights stay frozen.
The clever part?
Each task leaves behind improvements the agent can reuse.
By task 50, it's building on lessons from the previous 49.
Google reports gains of up to 11.8 percentage points after just one refinement step on a legal benchmark.
It supports parallel and sequential optimization, with a local demo requiring no API credentials.
FREE and open-source.
GitHub repo in 🧵↓
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👆 ace to see my friends at @apify getting some love in this visual 🫶
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