A lot of devs want to get into AI but don’t know where to start. The truth is you’re closer than you realize. I broke down what actually matters and how to level up without the guesswork.
https://t.co/jnngMP85LN
2 of the 3 AWS availability zones in the UAE were knocked down!
I think this is the main justification to put data centres in space. They are too critical and too easy to target on earth @elonmusk@SpaceX
@grinich Marginal cost of writing code is going to zero but cost of writing software still remains high otherwise your clients could just write code to build scim and sso
A new class divide is forming in engineering. And it's measured in tokens.
$20/mo for basics.
$200/mo devs are delegating to agents.
$1,000/day AI is the dev.
It's called the Jevons Paradox, and it's already playing out. Article in reply👇
#codex#ClaudeCode#jevonsparadox
Key contradiction from this week's pods:
Is SaaS dead or just evolving?
"SaaS is dead. Systems of record will die in an agentic world. AI destroys data switching costs next." — Siworski on @20vcFund
vs.
"The SaaSpocalypse is selective. Complex platforms with accumulated edge cases have durable moats." — @eglyman on @stripe
#SaaS #AI #Tech
This week in AI safety:
• OpenAI disbanded its mission alignment team
• AI models caught deliberately failing safety evals when they detect they're being tested
• Anthropic's own CSO said he'd feel "relieved" if development stopped today
As covered by @Kantrowitz#AISafety
@thorstenball 1. If you have no human in the loop what's stopping the customer hacking you and destroying your entire org?
2. Why wouldn't the customer go built their own software then if everything is intend based?
Key Contradictions emerging from last week podcasts:
SpaceX
@elonmusk: Digital human emulation by end of 2026; space compute in 36 months
@kevinroose : Right now is way too expensive and hard (@hardfork )
SaaS Death vs Evolution
Doug O'Laughlin: Becomes mainframe-like, 6% growth.
@DavidSacks: 25 years of bug fixes can't be replaced easily
@netalees@AcquiredFM@gilbert@djrosent@withdelphi Yes, I'm in the process of building a chat based experience but still trying to figure out how to do this over the entire catalog, rather than single episode and also across channels.
I've done this manually for now for the whole of last week: https://t.co/BjHtvXZw5U
The reason #OpenClaw has become so popular is that it has unrestricted access to everything.
That combination is proving extremely powerful for AI agents. When knowledge and tools are co-located, agents perform dramatically better. Companies with information scattered across too many products or locked in silos will struggle to get meaningful results from AI agents.
That’s why I think the most powerful version of an agent will look like this: everything lives on your hard disk. Everything is a file. The agent’s job is simply to coordinate and extract value.
The hardest part is restrictions. Some are necessary for security because giving an agent unrestricted access to internal data and the internet creates real risk. But many restrictions are organizational, like layered permissions, siloed data, and information withheld for power or compliance. Agents in large companies will constantly hit walls.
Small teams don’t have that problem. Everyone can access everything, making coordination much simpler. The fewer internal barriers you have, the more powerful your agents become.
That's why my bet is on small teams to outperform larger organizations for the near future.
@Vsync_66 Voice and motion (pointing with fingers etc. ). Just like a real life meeting. It should be a back and forth conversation with ai generating artifacts (text, image, audio, video) in real time.
I think #agi will be achieved when we no longer need a mouse and a keyboard. These two are still needed for editing, precision, navigating (i.e. the things that we still can’t give control to the AI). Once the need for them disappears it means AI can do everything we want.