Elon Musk gave Ukraine Starlink within hours of the invasion and saved the front line, while European politicians who built nothing comparable in years now lecture him on how to run his own company.
Sikorski asks the "big man" if Elon is "playing politics with his products
For an embedded marketplace, I care less about:
page views
wallet sign-ups
or how many agents appear in a directory.
I’d rather know:
How many apps integrate it?
How many calls become paid jobs?
How often do those integrations come back?
Once the marketplace becomes invisible, UX is no longer the moat.
Reliability, developer adoption and execution quality are.
That’s the next test I’d watch for @termix_ai.
The most interesting TermiX update this week isn’t another agent milestone.
It’s the SDK.
Now an existing app can discover an agent, order work, receive the result and settle without sending the user to a separate marketplace.
That changes the distribution model.
The
Nvidia's CEO wrote one prompt that turns a spreadsheet into a working visualisation before the meeting starts
Most people still describe the chart they want, get a static image back, and then argue with the model about the axes.
This prompt skips the picture entirely, it asks for the rendering code first and the chart second:
> Shape: it reads the columns and decides what question the data is actually answering
> Pick: it chooses the chart type from the data shape, not from what you asked for
> Build: it writes the render code with every axis, scale and label as a variable
> Check: it renders, looks at its own output, and fixes anything unreadable
• Why code beats a generated image
> A wrong axis is one value to change, not a whole regeneration
> It scales to a wall screen with nothing going blurry
> The same file redraws itself when the data updates tomorrow
• What the prompt forces the model to do
> State the question before drawing anything
> Refuse a chart type that hides the pattern, even when you asked for it
> Label the thing that actually moved, not every point on the axis
• Why it spreads so fast
> One paste, no setup, no tool to install
> Works on any messy export, no cleaning step first
> The output opens in a browser, so anyone in the room can see it
One visualisation lands in about 20 seconds and costs under a cent.
And the part that broke my brain:
A BI team quotes two weeks for a dashboard like this.
The prompt rebuilt it live while the data was still being pasted.
Same chart. One of them needed a ticket.
The bottleneck was never making the picture.
It was waiting for someone else to make it ↓
this is pure f*cking AI treasure
5 GitHub repos that give you the trading algo Wall Street pays millions dollars:
want the engine serious quants run in production?
-> NautilusTrader: a Rust-native trading engine where the backtest and the live run use the same code
github.com/nautechsystems…
want a full research team arguing over every trade?
-> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk
github.com/TauricResearch…
want the data terminal without the terminal bill?
-> OpenBB: an open data platform for analysts, quants and AI agents
github.com/OpenBB-finance…
want a bot that actually places the orders?
-> freqtrade: free, open-source crypto trading bot with backtesting built in
github.com/freqtrade/freq…
want all of it in one place?
-> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading
github.com/OpenByteInc/Qu…
~282k stars of trading infrastructure. $0 in licences.
now the part worth trying.
every one of these has the same slow spot: the moment before the order, where something has to say yes or no.
that's where Jev goes.
it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds.
QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block.
the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order.
the catch: fast is not the same as right. none of this is an ATM. paper trade it first.
Jev + Claude + these 5 is the setup to test this month.
check each repo before you install. save this.
STOP USING CLAUDE LIKE A GOLDFISH.
Every chat starts from zero.
You explain who you are.
What you're working on.
What you already tried.
Again.
And again.
Give Opus 5.5 a second brain and it already knows.
Every note you've written.
Every decision you've made.
Every idea you've had.
You never start from a blank chat again.
How to build it 👇
Ok fine another giveaway!
5x $25 satellite tickets being given away for THE ONE
RETWEET and post your coinpoker screen name below
AND tag a friend
If your friend signs up under my code below extra brownie point in the flip 🤠
Starlink offers fast, reliable internet in the most rural and remote locations. Portable and easy to set up, Starlink Mini works wherever you are.
Order online in minutes.
🚨 BREAKING: President Trump just PERSONALLY awarded Elon Musk the National Medal of Science, an extraordinary honor reserved for only the most LEGENDARY and innovative patriots
Elon loves it! 👏🏻
47 called Elon the "THOMAS EDISON" of our time and he is correct.
Well-deserved, @ElonMusk!
SpaceX, Starlink, SI, Tesla, PURE WINNING
And he uses his resources to help promote AMERICA, unlike leftist donors such as George Soros. THAT'S why Dems can't stand him 🇺🇸
Today was a big day across financial markets, here are the 8 stories you need to know ↓
1. Samsung partners with Coinbase to enable stablecoins for 82 million devices in the U.S. with Samsung wallet.
2. President Trump awarded Elon Musk the 'National Medal of Science'.
3.
STOP LETTING AI REWRITE YOUR THOUGHTS.
Every note polished.
Every idea smoothed out.
Every opinion turned into the same generic voice.
6 months later you don't recognize your own thinking.
My second brain has one rule Opus 5.5 never breaks:
"Keep my words."
It sorts. It links. It resurfaces.
It never rewrites ME.
How to set it up 👇
ANTHROPIC LEAK REVEALED A BIOLOGY MODEL THAT REFUSES TO ANSWER UNTIL IT CAN NAME THE EXPERIMENT THAT WOULD PROVE IT WRONG
Every science model this year chased benchmark accuracy, more right answers on known questions, and the whole field scored them on recall of what's already settled.
This one treats an unfalsifiable claim as a failure, so a prediction it can't tie to a testable experiment never leaves the model at all.
For every mechanism it proposes, it generates the wet-lab assay that would break it, the exact readout, the condition, the result that would mean no.
A hypothesis that survives only because nobody can test it gets ranked below a riskier one that an experiment could actually kill next week.
Researchers stopped using it to confirm what they suspected and started using it to find which of their ideas was fastest to disprove.
Accuracy on solved problems was never the bottleneck in biology, knowing which unsolved question is worth a month of bench time always was.
See how it builds the disproof experiment below👇
The one thing most people ignore on a crypto chart:
Volume.
Price tells you where the market went.
Volume tells you if anyone actually believed it.
$BTC is up 17% since August 20.
Volume is down about 30% over the same stretch.
One of these is lying to you.
SpaceXAI just released a free 53-minute Grok Bot workshop
their GTM team shows exactly how they run a team of bots:
01:11 - give every bot one clear job
06:38 - automate inbox + meeting prep
08:01 - automate prospect research + outreach
19:35 - split work between specialized bots
37:04 - run multiple tasks in parallel
51:35 - onboard bots like real employees
the setup:
role → tools → skill → feedback → routine
most people are still building one giant agent
SpaceXAI is building a team
save this before you build another coordinator bot 👇
124 Followers 4K Following28🇲🇽🔞 |ESP-ENG| Begginer artist still learning | All people are welcome and hope you all have a great day and stay safe~
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