AI Highlight
@AIHighlight
Al and Tech move fast, we highlight what matters || Curating the most important breakthroughs and tools in Al l DM for collaborations 📩 hello@aihighlight.io
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AI demos show you what a product can do. Real users tell you what it's actually like.
That's what makes @feedbackbench interesting.
Its Personal Agents rankings launch today, placing Muse first and ChatGPT Dots eighth among nine agents.
It's built by @enterpret_ai, which helps AI-native product teams find actionable evidence in customer feedback.
See what users love and complain about.
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Picking a personal agent? Ask the people who use them.
We analyzed 218,149 public posts from 132,844 users across Reddit, X, YouTube and the app stores, and ranked nine personal agents from @AIatMeta, @OpenAI, @GeminiApp, @SpaceX, @NousResearch and others on what users actually say.
Meta’s Muse leads overall, with the highest customer love on 22 of 53 criteria. And when people compare Hermes Agent and OpenClaw directly, 83% of those who pick a side choose Hermes.
But the best one for you depends on what you need. Want an allowance that lasts? Users rate Muse best. Want to choose your own model? That’s Hermes Agent. Want agents that work as a team? Grok Bot.
Rankings update every week. Find yours at
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12 resources to find better AI tools, improve your designs, and showcase your work.
1. No colour ideas? → Coolors
2. Can’t explain your idea? → Excalidraw
3. Can’t find the right AI tool? → The AI Library
4. Website looking basic? → Minimal Gallery
5. Need photos for your project? → Unsplash
6. Learning AI alone? → Join the TACA WhatsApp community
7. Need to edit an image? → Photopea
8. Struggling to pick a font? → Google Fonts
9. Finished work with nowhere to show it? → PortfolioTab
10. Images taking forever to upload? → Squoosh
11. Need a quick diagram? →
12. Looking for a software alternative? → AlternativeTo
Keep this list for the next time you get stuck.
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Three AI inference methods went head-to-head, and EAGLE-4 came out ahead in the reported test.
Its launch paper shows 961.6 tokens per second for EAGLE-4, compared to 672.6 for DFlash 2 and 618.6 for DSpark on four NVIDIA B300 GPUs.
That's roughly 1.43x and 1.55x their throughput, respectively, showing what its improved token prediction method can deliver under the same benchmark conditions.
The numbers are worth a closer look. Explore the full benchmarks and GitHub repository:
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EAGLE-4 is here.
From EAGLE-1 to EAGLE-3, we’ve kept making inference faster.
EAGLE-4 is our fastest yet.
961.6 tokens/s on @Alibaba_Qwen’s Qwen3.8-27B with TokenSpeed (BF16, 4× @NVIDIA B300, TP4, one request, T=0).
Github:
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EAGLE-4 is here.
From EAGLE-1 to EAGLE-3, we’ve kept making inference faster.
EAGLE-4 is our fastest yet.
961.6 tokens/s on @Alibaba_Qwen’s Qwen3.8-27B with TokenSpeed (BF16, 4× @NVIDIA B300, TP4, one request, T=0).
Github:
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The next game your friends get hooked on could start as a joke in the group chat.
Wabi brings friends, AI assistants and app creation into one messenger, so a passing idea can become something the group actually plays together.
Imagine asking it to turn your group’s inside jokes into a quiz, then finding out who remembers the most.
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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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The Roadster videos are getting out of hand.
Your next collaborator could be at a local AI meetup.
The Nebius AI Builder Program’s European expansion includes hackathons and demo days with AI Tinkerers, {Tech: Europe}, ESRA and SecureAI.
For builders looking for people to test ideas with and show their work to, the community side deserves a look:
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The AI Builder Program is expanding across Europe with $10M in total support across compute grants, capital, and community programs.
Are you building open models, developer tools, or applications on top of them? The program helps builders go from experimentation to scale-up through:
- Compute grants for selected projects in areas such as open models, coding agents, post-training, and evals
- VC connections to help turn open source projects into companies
- Hackathons and demo days with communities including @AITinkerers, @techeurope_ , and @esra_robotics to build, connect, and share your work
We’re kicking off the European expansion this week at #NVIDIAGTC# Berlin with @NVIDIAAI, @Accel, and a network of European VCs.
Building AI in Europe? Details below. 👇
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POV: The Tesla Roadster remembered it has SpaceX DNA.
Tesla just made gravity look optional.
