@JayMartinBC At one point, companies who rely on unjustifiable expensive LLM models will have to consider the ROI and be open for cheaper and open-source alternatives. This shift may become more common once AI companies such as Anthropic go public, and focuses on increasing shareholder value.
@bilbeny@openclaw@AnthropicAI@OpenAI@github@Kimi_Moonshot Por curiosidad, en qué máquina estás corriendo Kimi en local?
Sientes que responde bien en el día a día?
Estoy pensando en pillar un Mac mini M4 (base model) y no sé si 16 GB de RAM se quedan cortos o van sobrados.
@VittoStack Thanks for this! Love the security-first approach. Tailscale + UFW handles inbound nicely, but what about router-level isolation to prevent the Pi/local server from reaching other LAN devices? Guest network, VLAN, or firewall rules?
This was an eye opener from Jensen Huang
When asked whether he would rather relive his 20s or be 20 years old today, this is what he had to say:
"I thought our 20s were happier than these 20s. I think everyone deserves some time to be oblivious, and not wear all of the world's problems on their shoulders on Day 1
We are raising a generation that is very cynical and too informed
They are cynical, not because they are inherently cynical. They are cynical because they see so much stuff. It is too much stuff
You have to build up some internal reserve of optimism. You have to build up some reserve of goodness."
Being "AI native" will mean a complete rebuild of the entire tech stack to run a business.
Every tool. Every system. Every workflow.
The companies that figure this out first will make everyone else look like they're still running on fax machines.
Agency > Intelligence
I had this intuitively wrong for decades, I think due to a pervasive cultural veneration of intelligence, various entertainment/media, obsession with IQ etc. Agency is significantly more powerful and significantly more scarce. Are you hiring for agency? Are we educating for agency? Are you acting as if you had 10X agency?
Grok explanation is ~close:
“Agency, as a personality trait, refers to an individual's capacity to take initiative, make decisions, and exert control over their actions and environment. It’s about being proactive rather than reactive—someone with high agency doesn’t just let life happen to them; they shape it. Think of it as a blend of self-efficacy, determination, and a sense of ownership over one’s path.
People with strong agency tend to set goals and pursue them with confidence, even in the face of obstacles. They’re the type to say, “I’ll figure it out,�� and then actually do it. On the flip side, someone low in agency might feel more like a passenger in their own life, waiting for external forces—like luck, other people, or circumstances—to dictate what happens next.
It’s not quite the same as assertiveness or ambition, though it can overlap. Agency is quieter, more internal—it’s the belief that you *can* act, paired with the will to follow through. Psychologists often tie it to concepts like locus of control: high-agency folks lean toward an internal locus, feeling they steer their fate, while low-agency folks might lean external, seeing life as something that happens *to* them.”
@RhysSullivan@b_shulha Hey! Interesting post, I hadn’t heard of Effect before. Thanks for sharing.
Quick question though; what’s the reason for wanting to use React on the ”actual backend”? Why?
(And yeah, I’m assuming you mean a Node.js type of backend)
this helped me adjust my learning approach
was super lost in my ml class but took the time to revise the math, my mind can understand the content better now
thanks @lelouchdaily
ChatGPT has crossed 1M+ users in just 5 days.
To compare, it took Netflix 41 months, FB - 10 months, and Instagram - 2.5 months.
But many haven’t yet realized its full potential.
Here are the 10 mindblowing things you can do using it right now:
@FaroukZeino @ChristianSelig@jordibruin This works perfectly, but how do I achieve this with a button style that has parameters?
So that I can do something like this i.e:
buttonStyle(.seligButtonStyle(.large))