SeanW

[SeanW @swechter]

Microsoft Maia 300 and the race for in-house AI inference silicon. Once AI hits production, inference is the bill that never stops. Whoever controls cost per inference controls the margin. Plus less dependence on a single hardware vendor.

[SeanW @swechter]

==[AI Executive Update]==
I agree headless software is the new game

This 1 minute-ish Instagram reel makes the point well:
https://t.co/FwZqQFq6Lm

My $0.02, based on a lot of hands-on time with each market leading AI agents, is that this is exactly where the market is heading.

The important question for software companies is no longer just:

"Is our user experience good?"

It is increasingly:

"Can AI agents easily interact with our system?"

That means clean APIs, strong permissions, clear data models, reliable automation, and rich MCP interoperability.

The exciting part is that this creates a BIG reset.

Legacy incumbents may have years of UI advantage, but if their systems are difficult for agents to interact with, that advantage can disappear quickly.

This is a real opportunity for smaller, faster teams to leapfrog competitors.

My takeaway:

Design for humans, but architect for agents.

That is becoming a very important distinction.

--.

==[Helpful Hint]==

Cool prompt to copy/paste:

I did this movie recommendation prompt last night and it worked out well :-). Give it a try to uncover a few gems to add to your “watch list”

--.

Create a Movie Marathon Around My Current Mood

Act as an expert film curator and design a personalized movie marathon that starts from how I feel now and gradually moves me toward the mood I want by the end.

Context:

- Current mood: [tired / nostalgic / anxious / romantic / restless / lonely / excited / etc.]

- Desired mood: [comforted / energized / inspired / relaxed / hopeful / emotionally satisfied / etc.]

- Genres I enjoy: [genres]

- Genres I dislike: [genres]

- Favorite films: [examples]

- Films I do not want repeated: [examples]

- Era preference: [classic / 80s / 90s / 2000s / recent / any]

- Language preference: [English / international / any]

- Time available: [X hours]

- Number of films: [2 / 3 / 4]

- Watching with: [solo / partner / friends / family]

- Streaming services: [platforms]

- Intensity tolerance: [light / moderate / heavy]

- Hard limits: [no horror / no sad endings / no explicit content / etc.]

Build the marathon so the sequence has an emotional arc, rather than just listing movies that fit the same mood. Start with something that meets me where I am, then gradually shift tone, energy, or emotional intensity toward the desired end state.

For each film, provide:

1. Why it fits

2. Why it belongs in that position

3. Runtime

4. Emotional tone

5. One thing to pay attention to

6. Optional snack/drink pairing

7. A spoiler-free one-line pitch

Avoid generic or obvious recommendations unless they are genuinely the best fit.

Finish with:

- One wild-card pick

- One shorter backup marathon

- One comfort-only version

- One more adventurous version

- A recommended start time so the marathon finishes by [target time]

===.

[SeanW @swechter]

https://t.co/jg1YcHf6VC

[SeanW @swechter]

While @openai’s #chatgpt has been on everyone’s mind recently, #ml, #ai, and #generativeai simply don’t stop there.

Not long ago, I completed some training through @Databricks Academy. I subscribe to the philosophy of lifelong learning, so it was really great to learn.

[SeanW @swechter]

Make your tables look glorious by Bradley Stephen Shaw https://t.co/Skk7C70UFZ

[SeanW @swechter]

I want to shout out the @CitiVentures Enterprise Tech Summit 2022 specifically as a fantastic event filled with incredible minds and leaders in business that discussed how #tech and #ai and #ml will help change our world for the better.
#innovation #data #machinelearning

[Databricks @databricks]

At Databricks, we want to empower everyone to be a data expert 💪

We're thrilled to announce that Bamboolib is now in public preview in #DatabricksNotebooks! Now, you can have the power of code-first data science w/o the need to write the code yourself. https://t.co/D096kEHn15

[SeanW @swechter]

@moezpycaretorg1 Thank you for the very cool Pycaret + Databricks presentation. Quick question. Can you post the github link to the Databricks demo at the end?

[SeanW @swechter]

@sreekotay @FiveThirtyEight @sreekotay agreed!

[SeanW @swechter]

@Enderdoon I love it!

[SeanW @swechter]

@vboykis Great Python Deck! Thank you Vicki. I loved the Jupyter Notebook humor!

[SeanW @swechter]

https://t.co/tGxYzPzD5q

[SeanW @swechter]

Proud to be featured in this article by TechTarget with Mike Goldman, Hillary Ross, Bruce W. Beam, and Dan Roberts Roberts). I enjoyed chatting about our commitment to “grace under pressure” during a time of great uncertainty.

[SeanW @swechter]

Join COVID Alert Pennsylvania to fight against COVID-19 https://t.co/AQLXruFUPT

[SeanW @swechter]

@jon_moore +1 on each prior reply!

[Qlik @qlik]

🎉 🎉 🎉 Happy to see Qlik made it on @G2CrowdReviews Best Software list this year! https://t.co/5uZjvFpIgx

[SeanW @swechter]

This seems like a good (easy) idea for healthy people to supply more data for better decisions related to this Corona Virus crisis. https://t.co/hf5mzNfcar

[SeanW @swechter]

@withfries2 @a16z @withfries2 I truly enjoyed your presentation! Thank you for this peak into 2030s Tech :-)

[Mike Saliter @msaliter]

Bam! #Qonnections

[Mike Saliter @msaliter]

The calm after the storm. What an incredible few days at @Qlik #Qonnections. Onward and upward!