AI Enthusiast | Empowering Tech Product Managers with AI | Innovator & Team Builder | CPO @Nezasa
Berlin, Deutschland
Joined June 2010
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It all started with a simple idea during the job interview process....now it has come true!
Couldn't be more proud!
🚨 It’s here! 🚨 Introducing Planner Copilot, an AI-powered add-on for TripBuilder, helping travel agents turn ideas into itineraries and converting them into bookings. The future of travel planning is here!
🎥 Watch our video.
#TravelTech #AI #Innovation #Nezasa #TripBuilder
Rene Otto retweeted
OpenClaw 2026.4.7 🦞
🔮 openclaw infer
🎬 music + video editing
💾 session branch/restore
🔗 webhook-driven TaskFlows
🤖 Arcee, Gemma 4, Ollama vision
🧠 memory-wiki: persistent knowledge, not just vibes
Because “trust me bro” is not a knowledge system. github.com/openclaw/openclaw…
Rene Otto retweeted
AI should help you make better decisions, not make decisions for you.
AI should improve your thinking, not think for you.
AI should enhance your mind, not replace it.
by not outsourcing your whole thinking process to AI
use it as a copilot, but keep YOUR thoughts and reflections the centerpiece
we built @mindseraAI for this, so AI is used for finding patterns, detecting cog biases, etc.
not thinking for you, but helping you think better
Rene Otto retweeted
Had the wildest Zoom call last week with a celebrity about her AI problems.
Her head of commerce had been using AI to write product descriptions, and it was going terribly. The director told her the tools “just aren’t good enough” and that they needed to hire someone instead. I told her flat-out: that’s not the AI’s fault. That’s the employee's (and maybe even hers for not knowing how to fix it).
Turns out the employee gave it ONE example. Described the company in TWO sentences. Didn’t even describe the audience. Used her free ChatGPT account. I pulled up an 18-page SOP we use to write in my own voice. I showed her how to build a custom GPT for brand tone for the whole team. I told her I prefer Claude for writing, that I often use multiple tools at once. Her mind was blown with the demo, and she quickly realized her employee was underusing AI.
A lot of people think the AI “doesn’t work.”
IT WORKS. You’re just using it like Google.
If your AI outputs (esp for something as easy as product descriptions) are mediocre, that’s more likely a mirror on your prompt. Most people don’t know how BAD they are at prompting until someone else shows them.
Stop blaming the system. Benchmark your inputs and literally overwhelm the model with clarity and specificity and intent and see what happens.
Rene Otto retweeted
Thanks to the advancement of smart technology, the travel industry is transforming like never before. Nezasa's CPO, Rene Otto recently shared insights on a burning question: Will #AI replace travel agents? Here's a comprehensive look at the discussion.
nezasa.com/blog/will-ai-repl…
1/ 🚀 Will AI Replace Travel Agents? 🌍✈️ As the Chief Product Officer at Nezasa, I explored a pressing question: Will AI replace travel agents? 🤔 #AI #TravelTech
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2/ Generative AI is revolutionizing travel by handling routine tasks like booking flights and creating personalized itineraries. While AI offers instant responses and rapid data access, travel agents still excel in complex planning and providing a human touch. 👥💡
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Rene Otto retweeted
Den meisten ist offenbar klar, dass „Wohlstand und gute Jobs in der Autoindustrie“ nur mit klimaneutralen Fahrzeugen gesichert werden können.
Vor allem ist Klimaschutz Menschenrecht und laut Verfassungsgericht geboten.
Wer das nicht versteht sollte keine Verantwortung tragen.
The first day has been amazing. Come and see us at ITB!
Day 1 at @ITB_Berlin and we could not wish for a better start!
Stop by Hall 5.1 Stand 101 to catch up with the team, check out our latest innovations - like the AI Trip Designer and our Dynamic Package add-on - or just chat about all things travel tech.
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Rene Otto retweeted
A Trump supporter was seated next to an older woman on an airplane and he turned to her and said, “Do you want to talk? Flights go quicker if you strike up a conversation with your fellow passenger.”
The old woman, who had just started to read her book, replied to the total stranger:
“What would you want to talk about?”
“Oh, I don’t know,” said the man. “How about how they stole the election in 2020 and Donald Trump should be president.”
“Okay,” she said. “Those could be interesting topics but let me ask you a question first. A horse, a cow, and a deer all eat the same stuff – grass. Yet a deer excretes little pellets, while a cow turns out a flat patty, but a horse produces clumps. Why do you suppose that is?”
The man, visibly surprised by the old woman’s, thinks about it and says, “Hmmm, I have no idea.”
To which the old woman replies, “Do you really feel qualified to discuss politics, when you don’t know shit?”
Rene Otto retweeted
Thank you, Tucker Carlson, for giving Jon Stewart this masterclass in journalism.
Rene Otto retweeted
Apparently Elon Musk permanently suspended the user below for the tweet below, and did so on the grounds that comedy is not legal on Twitter when the butt of the joke is Musk himself.
So I propose a minor act of harmless Twitter disobedience: RETWEET the hell out of this image.
Readers added context they thought people might want to know
The owner of the Liam Nissan parody account has clarified that his leaving from X has nothing to do with a ban. Please find his statement on his Bluesky account here bsky.app/profile/thelia…
Rene Otto retweeted
🤯 Holy smokes. I can’t believe this.
Output from Groq.com is so fast, ~500 T/s
It spits out things near real-time, running on custom hardware, and it’s based on Llama 2 70b
Best thing, you can try it for yourself right now.
Will be next year the year of the robot revolution?
I've been asked what's the biggest thing in 2024 other than LLMs. It's Robotics. Period. We are ~3 years away from the ChatGPT moment for physical AI agents. We've been cursed by the Moravec's paradox for too long, which is the counter-intuitive phenomenon that "tasks that humans find easy are extremely hard for AI, and vice versa".
2024 will be remembered as the first year that the AI community fights back big time against the curse. We will not win immediately, but we will be on the path of winning.
In 2023, we've caught a glimpse of the future foundation models and platforms for robots:
- Multimodal LLMs with robot arms as a physical I/O device: VIMA, PerAct, RvT (NVIDIA), RT-1, RT-2, PaLM-E (Google), RoboCat (DeepMind), Octo (Berkeley, Stanford, CMU), etc.
- Algorithms that bridge the gap between System 1 high-level reasoning (LLMs) and System 2 low-level control: Eureka (NVIDIA), Code as Policies (Google), etc.
- Insane amounts of progress on robust hardware: Tesla Optimus @elonmusk, Figure @adcock_brett, 1X @ericjang11, Apptronik, Sanctuary, Agility+Amazon, Unitree, etc.
- Data has always been the Achilles' heel of robotics. The research community is coming together to curate the next ImageNet, such as the Open X-Embodiment (RT-X) dataset. It's still not diverse enough, but a baby step is a major step.
- Simulation and synthetic data will play a critical role in solving robot dexterity and even computer vision in general.
(1) NVIDIA Isaac can simulate reality at 1000x faster than real-time. The incoming data stream scales as compute scales.
(2) Photorealism can be enabled by hardware-accelerated raytracing. The realistic renderings also come with groundtruth annotations for free, such as segmentation, depth, 3D pose, etc.
(3) Simulators can even multiply real-world data to create much larger datasets, greatly reducing the expensive human demonstration efforts. MimicGen (NVIDIA) is a representative example.
I'm all in, personally. The best is yet to come.
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Rene Otto retweeted
The emergence of superhuman AI will not be an event. Progress is going to be progressive.
It will start with systems that can learn how the world works, like baby animals.
Then we'll have machines that are objective driven and that satisfy guardrails.
Then, we'll have machines that can plan and reason to satisfy those objectives and guardrails.
Then will have machines that can plan hierarchically.
At first, those machines will be barely smarter than a mouse or a rat.
Then we'll scale up those machines to be as smart as a dog or a crow.
Then, we'll adjust the guardrails to make those systems controlable and safe as we scale them up.
Then we'll train them on a wide variety of environments and tasks.
Then we'll fine tune them on all the tasks that we want them to accomplish.
At some point, we will realize that the systems we've built are smarter than us in almost all domains.
This doesn't necessarily mean that these systems will have sentience or "consciousness" (whatever you mean by that).
But they will be better than us at executing the tasks we set for them.
They will be under our control.
Indeed. Well Google thought they can fake it till they make it. Let’s see how that works out…
Until Google Gemini Ultra is publicly available...
1) I will remain skeptical/cautiously optimistic on the demos shown.
2) We will have access to Gemini Pro (via Bard and other G Products) and Nano to test, but they're not the benchmark-beaters, so conclusions will be iffy.
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