hicham oudghiri retweeted
JUST IN: Former SpaceX engineers raised $100M to build self-driving electric freight trains.
Parallel Systems puts batteries and motors directly under shipping containers, letting them move without a traditional locomotive.
-Travels up to 500 miles on a charge
-Recharges in as little as one hour
-Vehicles automatically form and split apart into groups
-Works with standard shipping containers
-Designed to make shorter rail routes competitive with trucks
Parallel is already testing the system across 160 miles of railroad in Georgia.
hicham oudghiri retweeted
Beware people obsessed with outcomes instead of building outcome machines. Its worse than ever with AI, but these people existed before. Short term results above all else, etc. Don't fall into the trap. Invest in building strong fundamentals, invisible supports, and outcomes flow like water. An outcome machine.
hicham oudghiri retweeted
I've started a new company: @superlogical! We're going to begin by building a terminal multiplexer. The entire vision is much larger, but the multiplexer is the foundation. Sign up for the newsletter to get beta access and devlogs (product updates only I promise).
superlogical.com/
hicham oudghiri retweeted
I know everyone loves our entropy generating lava lamps in San Francisco, but think our wall of entropy in Lisbon is my favorite.
n.b. and completely agree
Love this @demishassabis
Laid off engineers… Google is waiting with open arms 🤗 timesofindia.indiatimes.com/…
Your reminder that Execution Is All You Need, and that Buffet talks about Coca Cola profiting more from refrigeration than any appliance company.
Very excited to be part of this launch. Congrats @paraga and team ✨✨✨
Today we're launching Index: a platform for content owners to understand how AI agents use their work, and earn revenue when they do.
Our first partners include @TheAtlantic, @FortuneMagazine, @PRNewswire, @PitchBook, @ZoomInfo, @Tracxn, @RocketReachCo, @enigma_data, @fiscal_ai, plus creators @alexeheath, @mariogabriele @azeem, @every, and @packyM.
hicham oudghiri retweeted
Tobi puts this better than I’ve ever been able to.
Shopify CEO Tobi Lutke explains Goodhart’s law and why he doesn’t like KPIs or OKRs
“Goodhart’s law is real. The moment a metric becomes a goal, it’s no longer a useful metric… No metric by itself is a complete heuristic for a complex business. There’s a million different tensions in a company, and you can’t keep all of them in harmony by optimizing for one thing.”
For this reason, Shopify doesn’t use KPIs or OKRs. But as Tobi explains, this doesn’t mean they don’t value data and metrics.
“We are extremely data informed. We have invested enormous amounts of money and time into systems that give us basically everything at our fingertips… But what Shopify attempts to do is just not over-fit for what’s quantifiable.”
People love optimizing for highly-quantifiable things because there’s immediate gratification that comes from seeing a number go up. But Tobi thinks that the most important aspects of a product are rarely quantifiable:
“The overlap of the most valuable things you can do with a product and the things that happen to be fully quantifiable are like maybe 20%. Which leaves 80% of a value space unaddressable by the people who only look at quantifiable things.”
He continues:
“Shopify is comfortable with unquantifiable things like taste, quality, passion, love, hate… The sort of deep satisfaction that a craftsperson feels when they’ve done a job well is actually a better proxy if you allow it to be.”
They then have robust analytics systems that tell the company if something’s wrong or a new rollout breaks something.
“We think about it as a cockpit for a pilot. The decisions are still made by pilots, and we think this leads to better results… I think there needs to be more acceptance in business of unquantifiable things… And then metrics take a support function.”
Source: @lennysan (Feb 2025)
hicham oudghiri retweeted
When top-tier models use web search to run KYB checks, the result is a coin flip, often worse. That's the agentic baseline, even when you throw lots of tokens at the problem.
When the Enigma KYB Agent for Google Cloud runs the same checks against our verified business identity graph, it gets 20% higher accuracy at one-tenth the inference cost.
The math holds because the agent isn't burning tokens working out which business it's looking at. Identity is resolved before the agent even starts: brand to legal entity, every variation, every jurisdiction, every filing, plus operating signals to know whether the business is real.
Built on Vertex AI Agent Engine, Gemini Flash, and Cloud Run. Submit a single business through chat, or run a batch through a spreadsheet. Every check returns its reasoning, grounding every decision in our verified identity graph.
Learn more:
enigma.com/resources/blog/en…
hicham oudghiri retweeted
When we first launched the @stripe CLI seven years ago, humans kinda liked it. Today, agents *love* it.
hicham oudghiri retweeted
We may never know who introduced Takuya Nakamura to UK Jungle music, after moving from Tokyo to Boston to study Jazz theory - but I, for one, am very grateful.
Got to see @tryramp build SOTA risk and fraud intelligence operation a break neck speed with excellence so few are disciplined enough to maintain along the way.
Such an honor to get to deliver results for Ramp amd shoutout to the risk teams that keep this kind of growth possible.



















