Othmane Zizi

AI FDE

[Othmane Zizi @othmanezizi]

From Software as as Service to Service as a Software.

[jack @jack]

ai-fed, human-finished.

[Othmane Zizi @othmanezizi]

Memory become hurtful in LLMs when it amplifies sycophancy.

[Othmane Zizi @othmanezizi]

Reinforcement learning to encode human taste into the agents, specific to a company.

[Satya Nadella @satyanadella]

https://t.co/vLmiBKTtX3

[Garry Tan @garrytan]

In AI most people are still trying to use old maps on a new territory.

Throw the maps away. It's time to draw new ones. The only way you can do it is walking the land.

[Othmane Zizi @othmanezizi]

There is no SaaS product you can build that will be hard enough to replicate. You have to deeply integrate with customer data to add any lasting value

[Othmane Zizi @othmanezizi]

We’re entering a supercycle and we better enjoy it until the correction comes

[Othmane Zizi @othmanezizi]

When one variable in the system changes, one shouldn’t assume its relationship with the other variables will remain the same

[Othmane Zizi @othmanezizi]

Tech that gets work done vs. tech to get work done

[sunny madra @sundeep]

“we likely don't know what the capability ceiling is for modern LLMs because it's too expensive to measure. We should change LLM evaluations to account for that by measuring performance vs tokens, cost, or time.”

[Othmane Zizi @othmanezizi]

Anthropic in 2032: “Build a house. Make no mistake.”

[Othmane Zizi @othmanezizi]

A new business model that’s emerging: value-added resellers of Anthropic tokens.

[Garry Tan @garrytan]

The thesis is simple: the future belongs to individuals who build compounding AI systems, not to individuals who use corporate-owned centralized AI tools.

I'm trying to build these in open source so you can have them for free. That's what GBrain is.

[Othmane Zizi @othmanezizi]

@everestchris6 FIRE

[Chris @everestchris6]

this OpenClaw bot watches NASA wildfire satellites. when a fire starts, it finds every at-risk home nearby, renders fire hardening fireproofing upgrade on their actual house, and mails them a postcard, all on autopilot.

here's how contractors in fire zones can close $30k–$60k fireproofing jobs with this:

- pulls live fire detections from NASA FIRMS satellites every 5 minutes
- finds every home in the fire perimeter from public records
- captures the property via Google Street View
- classifies roof type + fire vulnerabilities using AI vision
- generates a NASA satellite image of the neighborhood with real fire hotspots overlaid
- renders a fire hardening retrofit on their actual house
- prints a postcard with the NASA fire map + before/after retrofit + QR code

every step from fire detection to mailbox runs without a human

reply "FIRE" + RT and i'll send you the full guide so you can build this too (must be following so i can DM)

[Marc Andreessen 🇺🇸 @pmarca]

It’s very unclear to me what the upper bound on daily token use per person is going to. Orders of magnitude beyond this for sure.

[Othmane Zizi @othmanezizi]

https://t.co/efCck1urpL

[Othmane Zizi @othmanezizi]

Are we in the first innings of a productivity boom?

[Rohan Paul @rohanpaul_ai]

Citadel Securities published this graph showing a strange phenomenon.

Job postings for software engineers are actually seeing a massive spike.

Classic example of the Jevons paradox. When AI makes coding cheaper, companies actually may need a lot more software engineers, not fewer.

When software is cheaper to build, companies naturally want to build a lot more of it. Businesses are now putting software into industries and tools where it was simply too expensive before.

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Chart from

citadelsecurities .com/news-and-insights/2026-global-intelligence-crisis/