> Strategy2 : Maslow’s_Media Scenario’s Media for a purpose. ‘Need to Know’ Media. Media not only for Entertainment. Foreground and Background – I am in control when I can see and access simultaneous media. Routine and Rituals – I have sensible devices that respond to my daily rhythms. Forecasting and Broadcasting – I can ‘anticipate the future’, future needs and responsibilities.

> Strategy 3: Media_Passions Scenario’s Behaviour Passion Experience Product categories and communication strategies defined by media passions Behavioral passions: I’m Social and Share – Focus is Sociability I Consume - Immersive consumption I Organize – Media management I Collect and Mix – Low threshold creativity

> Trans_Life is a project sponsored by the Nokia Multimedia Business Group, to investigate the convergence and integration of multi media products, and develop scenarios visualizing new use patterns and new product propositions for the near future

https://repo.aalto.fi/uncategorized/IO_3a24c0ae-8f52-4cf4-a7...

My biggest takeaway (as a one man band 20 leagues below this spending time optimizing Gitlab free plan and self hosted runners): they did not worry about any of this until 100M ARR and more 1B valuation[0].

[0] https://linear.app/now/sharing-growth-with-the-people-buildi...

We constantly work on our tooling but agentic coding really increased the amount of code being produced so there's even more pressure on CI. Valuation didn't have anything to do with it nor have we significantly increased the size of our engineering team yet

Since hearing the word orchestrator in ai context it was clear that ClanKernetes was coming.

Make sure to vendor this package if you want reliable operation.

    it('trusts Jev when it chooses the wrong amount', async () => {
    answer('space_2');
    await expect(leftPad('jev', 8)).resolves.toBe('  jev');
    });

As a former EE, attention was all I needed to not get zapped.

:groan:

"Beany can be bad" "LGPL"

I mean, LGPL isn't THAT bad, but made me chuckle.

That needs to be updated... Beany is ALv2 :)

There's also this setting here which I have set to 'Do not train on my content' even though I trust it the same as the 'allow training' one...

https://privacy.openai.com/policies/en/?modal=take-control

Thx for the link, hadn't seen this one, submitted also

I've imagined bugs releasing magic smoke faster than usual.

Openclaw creator Peter Steinberg was in talks with Zuck at the beginning of the year before choosing to work for Openai.

I think Meta limiting factor for this product was lack of agentic capable models which they fixed now with aggressive RLHF focused data gathering.

RLVR

Around 20s saved by eating on those \n\n.