Robotics Engineer l Tech News Reports l AI
Switzer, WV
- Tweets 1,411
- Following 55
- Followers 6,323
- Likes 10,413
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Why learn to edit?
Higgsfield just dropped Banana Placement, a new inpainting model.
It delivers super consistent and realistic edits that will kill your old workflow.
This is a massive opportunity.
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Growth has always been limited by bandwidth.
An agent that never sleeps changes the equation more than another dashboard ever could.
We raised $21M to help small businesses beat the giants
We're giving $1M of it back to you today
Today we're launching Runable Grow: world's first agent that runs your entire go-to-market. 24/7
The last few months have been unreal.
Millions of users came to @runable_hq and built their entire business on it, websites, databases, payments, analytics, pitch decks, product videos & scheduled work.
Every single one of them asked the same question:
"How do I grow it?"
So we built the answer.
Runable Grow handles GTM end-to-end:
→ Runs ads on Meta, Google, and ChatGPT without any account, fully managed by Runable
→ Cold calls + cold emails from a real phone number and your business inbox
→ Generates and qualifies leads
→ Social listening
→ SEO + AEO optimization
Not a dashboard. Not a "copilot."
An agent that does the work.
It's a world-class media buyer, SDR, SEO lead, brand analyst working for your business while you sleep.
Don't believe me? Prove me wrong.
Your first $100 on Grow is on us. Every paid user. No catch.
Go break it 👇 runable.com
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Most AI products promise efficiency. Monaco is showing what happens when efficiency translates directly into revenue.
Today, we're launching Monaco into General Availability.
We onboarded several hundred hypergrowth startups during our beta. The results are staggering:
The average customer added 16 percentage points to their month-over-month revenue growth rate.
The average customer tripled their monthly meeting volume.
With today's release, Monaco is now the most advanced AI sales platform in the world.
Monaco customers have an unfair competitive advantage.
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Infrastructure isn't flashy until you realize it's what's slowing everything else down.
Fixing paperwork and manufacturing together is a smarter approach than solving only half the problem.
We raised $22.5M to fix both halves of the custom medical device supply chain: the paperwork that blocks them and the manufacturing that slows them.
In America 🇺🇸, it's easier to prescribe a patient opioids than to get them custom insoles to prevent amputation. Three generations of my family watched that up close and couldn't fix it. Here's what we've built @HikeMedAI :
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The Training Data Shift
The next AI breakthrough may not come from simply collecting more data.
It may come from generating better learning experiences.
Ornith-1.5 is already exploring that direction.
Data → tasks → rollouts → learning → improvement.
Aloha! 🌺Introducing Ornith-1.5, a family of open-source LLMs spanning 9B Dense, 35B MoE, and 397B MoE, trained with self-improving strategies.
It achieves state-of-the-art performance among open-source models of comparable size and delivers performance comparable to Claude Opus 4.8 across reasoning, agentic, and coding tasks:
✅Terminal-Bench 2.1 (86.1)
✅SWE-Bench (86 on verified, 65.1 on pro, 79.6 on Multilingual)
✅DeepSWE (56)
✅HLE (44.6)
✅ClawEval (81.4)
✅Tool Decathlon (71.2)
Ornith-1.5 takes a major step toward training foundation models through end-to-end self-improvement, extending the self-scaffolding strategies introduced in Ornith-1.0 into a more complete self-improvement loop: the model proposes new tasks, generates task-specific scaffolds, and produces solution rollouts for reinforcement learning, continuously creating new learning experiences from which it can improve.
All models, along with their quantized versions (FP8, GGUF, MLX, and NVFP4), have been released under the MIT License, enabling unrestricted commercial and research use.
📘Tech Blog: ornith.ai/ornith_1_5.html
🤗Huggingface: huggingface.co/collections/o…
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The future of local AI may not require giant models.
Pokee-Isaac 28B delivers leading agentic benchmark results, million-token context capability, and single-GPU deployment.
That’s a serious efficiency story.
Meta just released Muse Glimmer 30B. So we put it side-by-side with Pokee-Isaac 28B, Qwen3.6 27B, and Gemma 4 31B.
Same ~30B weight class. Same evaluation environment.
Pokee-Isaac leads across every agentic benchmark we tested:
BFCL v4: 70.94
τ³-bench: 66.67
Terminal-Bench 2.1: 65.12
MCP-Atlas: 74.59%
And then there’s Pokee-Isaac's unique long-context capabilities:
93.3% RULER at 10M context
0.5 MRCR v2 at 1M token context
where all other models score 0!
All in a 28B model deployable on a single GPU.
The ~30B local frontier is getting very interesting.
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From document to dialogue. From idea to production. AI is compressing weeks of work into minutes.
Video Podcast is live.
Turn any doc, link, or idea into a two-host video show with studio scenes, multi-cam cuts, and B-roll. Ready in minutes.
Everyone else stops at audio. This is a show you can publish.
Try it: app.heygen.com/apps/video-po…
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Scaling internationally shouldn't mean managing more complexity.
The best platforms simplify global operations, giving businesses the confidence to expand wherever opportunities exist.
We conquered the US over the last 3 years.
Flex grew to a $1.2B+ valuation and $10B+ in annualized payment volume.
Today, we’re bringing that same experience to businesses all around the world.
Introducing Flex Global:
170+ countries
32 currencies
2% cashback
24 products
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Imagine a world where your designer never hears:
"Can you recreate this for the promo video?"
Instead, they just share a Figma link.
That's not the future anymore.
That's HyperFrames.
github.com/heygen-com/hyperf…
Figma -> HyperFrames
Designers can now ship launch videos straight from mocks
Just copy the link, hand it to your agent, then invoke /figma
Every hex, every font, every frame is exactly your design
$ npx hyperframes@latest skills
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Your greatest asset isn't your audience.
It's what you know.
Followers can disappear. Algorithms can change.
But expertise compounds.
Boids gives creators a way to transform that expertise into AI agents that continue delivering value—and earning—for years.
🚀 Meet Boids: boids.so/
Everyone should be able to turn their expertise into profit.
Boids helps creators turn their knowledge into agents in minutes, reach real users, and earn whenever those agents are used.
Your expertise scales.
Your data and knowledge stay protected.
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The future of content creation isn't about recording perfect videos.
It's about capturing authentic moments and letting AI handle the cleanup in the background. 🚀
You nailed the point but stumbled on the words, so you record the whole thing again. And again
Speech Cleanup takes your first take and removes every filler, pause, false start, and retake automatically
The result is one seamless video. Other tools leave it jumping at the cuts
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somebody who has sat in those board meetings and knows exactly where the rot is 🔥 that changes everything
1/ @RCBTweets winning again. Rajat Patidar at the center of it
And now Rajat coming back to @MPLeagueT20, which starts today. Cricket has had a beautiful week
But what @AScindia is building for MPL on @emergentlabs is the part I am excited and inspired about the most
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Everyone talks about AI content. Few deliver AI execution.
Hedra Agent now does both.
Spaces keeps campaigns organized end-to-end. Connections syncs your existing tools into one workflow.
Save hours every week.
Comment HEDRA for the prompt guide + 20% off.
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A creator economy platform built specifically for AI originals makes perfect sense—and YouArt is executing it brilliantly.
Helping storytellers create, launch, and monetize AI films could unlock an entirely new generation of digital studios.
Excited to see where this goes.
YouArt (@YouArtStudio) empowers storytellers to create AI films and series with leading video agents, get funded by early fans, and earn subscription revenue.
Congrats on the launch, @zhenghy723 & @edmakethings!
ycombinator.com/launches/QMk…
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With @ainoro_labs, LabOS² transforms experimentation into a continuously learning system, where every action feeds back into improved future execution.
Introducing LabOS².
An early look at autonomous cell culture,
as a long-horizon physical AI workflow for biomed.
From protocol to real-world biological execution.
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A lot of launches scream “SOTA.”
Very few can say:
“we dominated every category and unlocked new behavior.”
That’s why this hits differently.
surething.io
BREAKING. WE HIT SOTA ON LONGMEMEVAL.
88.0% overall.
91.0% knowledge update.
76.7% single-session preference.
#1 across every category that matters.
then our AI did something we didn't ask it to —
it wanted to reveal how. itself.
eyes on the big screen ↓
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A sculler’s oar wake transforms into the Charles River, flowing into Boston’s skyline Beacon Hill, Swan Boats, Zakim Bridge.
Generated with GPT-Image-2 on MuleRun. Copy the prompt, swap in your city, run it.
GPT-image-2 just landed on MuleRun🎉
Architecture diagrams, product posters, anime character sheets — one prompt, production-ready output.
Check the replies for image cases & a link to grab every prompt👇
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