Nikolas Schriefer

Creative tech leader building agentic AI systems

[Satya Nadella @satyanadella]

You really know intelligence has been commoditized when CEOs start vibe coding!

[Nikolas Schriefer @kinosal]

@JustAnotherPM Can be done by the same person if they’re a skilled PM. A Scrum PO is not necessarily a good PM though.

[Hiten Shah @hnshah]

Managers who think meetings lead to clarity also think that the more people you hire the easier it is to meet your goals and deadlines. Reality is the opposite. Hitting goals and deadlines is a result of leaders who spread clarity, conviction snd direction. Without more meetings.

[Nikolas Schriefer @kinosal]

The art changes the artist OR Don’t become the greatest status update writer

Great advice by @shreyas to actively choose the parts of your work (and life) you want to identify yourself with, because they will define you.

https://t.co/vt6c3Qs9jb

#career #coaching #leadership

[Hiten Shah @hnshah]

Asynchronous work is built on trust. Too many meetings are a crutch for a lack of alignment, confidence and trust. More meetings means less autonomy and time for people to get the actual work done. Adding more meetings means you’re operating from a place of fear that you’ll fail.

[Nikolas Schriefer @kinosal]

Leverage CoachGPT to create your own personal development plan to advance in your career and life! --> https://t.co/pP06zIUK8E

#ML #AI #GenAI #GPT #Coaching #Leadership

[Nikolas Schriefer @kinosal]

It’s going to be wild!

[Brett Adcock @adcock_brett]

AI and Robotics have been developing at an incredible pace.

Here are the 15 most important developments that happened this week:

1. NVIDIA revealed Project GR00T, a foundation model to help robots understand the world

[Nikolas Schriefer @kinosal]

Full lecture at @Stanford here: https://t.co/NDOGCPh0Yl

[Nikolas Schriefer @kinosal]

Don't be a dweeb. 😀 Excellent explanation by Jensen Huang, co-founder and CEO of @nvidia, why #experimentation and a tolerance for failure are the key to success:

[Nikolas Schriefer @kinosal]

Interested in how @hellofreshdev leverages machine learning to optimize its marketing spend?

Check out our new blog post: https://t.co/lXKTBMS54X

#ML #AI #datascience #marketing #advertising

[Nikolas Schriefer @kinosal]

@JustAnotherPM Yes!

[Nikolas Schriefer @kinosal]

Would you like to build #ML/#AI products that change the way people eat? Check out this new role at @hellofreshdev https://t.co/GLBycLj5tr

[Paweł Huryn @PawelHuryn]

Product Management is not about:

- Asking customers about the requirements.
- Writing detailed specifications.
- Creating prototypes and wireframes.
- Assigning tasks to developers.
- Verifying and accepting the work of others.
- Obsessing over velocity, deadlines, and roadmaps.
- Mastering Scrum or any other framework to perfection.
- Acting like the CEO of the product.

Anyone can do that.

It’s about:

- Understanding customer's problems, needs, and desires.
- Understanding the market and the business in depth.
- Collaborating closely with engineers and designers.
- Identifying opportunities, finding solutions, and tackling the risks together.
- Marrying customer goals and business goals.
- Influencing others to work toward the common goal.
- Being humble (it's ok not to be the smartest person in the room).
- Experimenting to validate assumptions.
- Leading without authority.
- Turning chaos into clarity.

Start with these questions:

- Why are we building this thing?
- Why are we building it now?
- For whom are we building it?
- What's the unique value of our product?
- How is it aligned with the company's vision?
- How is it aligned with the business strategy?
- What does success look like? How can we measure it?
- What are the customer needs/jobs (functional, emotional, social)?
- How will it affect our customers and users?
- How will it create value for the business?
- Can we buy it instead of building it?
- How can we make sure that our customers would love it?
- Will our customers know how to use it?
- Can our business support it (e.g., legal, finances)?
- Is it feasible? Can we build it with the existing technology?
- How can we bring it to the market?
- Do we have the required channels?
- Should we do it at all? Are there any ethical considerations?
- What are the riskiest assumptions? How can we validate them?
- What does the data tell us?
- How can we get maximum validating learning with minimum effort?
- What else can go wrong?

Be curious. Learn and experiment. Question solutions and push back on things handled down.

Remember that product management is about creating a "product customers love, yet also works for our business" (Marty Cagan, Inspired), not about pleasing stakeholders.

After 9 years, I'm still learning daily, and I do not know everything, but I can give you my perspective on any questions you have.

Drop them below.

[Nikolas Schriefer @kinosal]

An inspiring conversation between @lexfridman and #JeffBezos about the art of truth seeking, including practical business and leadership tips. Also a pledge for crisp documents and messy meetings.

➡️ https://t.co/9EdUaljcj4

#amazon #blueorigin #leadership

[Nikolas Schriefer @kinosal]

What a move. @satyanadella wins @sama, @gdb and other @OpenAI talents for @microsoft.

[Satya Nadella @satyanadella]

We remain committed to our partnership with OpenAI and have confidence in our product roadmap, our ability to continue to innovate with everything we announced at Microsoft Ignite, and in continuing to support our customers and partners. We look forward to getting to know Emmett Shear and OAI's new leadership team and working with them. And we’re extremely excited to share the news that Sam Altman and Greg Brockman, together with colleagues, will be joining Microsoft to lead a new advanced AI research team. We look forward to moving quickly to provide them with the resources needed for their success.

[Nikolas Schriefer @kinosal]

@saranormous Built https://t.co/3zQrVnSL3J

[Nikolas Schriefer @kinosal]

Stopped scrolling for @OpenAI and @sama news for a bit and created a new mini-app with @streamlit.

It generates personalized recommendations for any topic from analyzing a few uploaded photos.

Try it yourself: https://t.co/mpzCuMJk2a

#AI #GenAI #MachineLearning #DataScience

[OpenAI @OpenAI]

OpenAI announces leadership transition https://t.co/fFYDLwGXQz

[Nikolas Schriefer @kinosal]

“#Software is eating the world… and it will be eaten by #AI” - @alighodsi from @databricks at the @TectonAI apply(ops) conference today