Intuitive Horseware

Bring the Horse Industry into the 21st century by giving horses a voice through data, and providing early detection of pain.

[Elon Musk @elonmusk]

Wild times ahead!

[Intuitive Horseware @IntuitHorseware]

@elonmusk Everyone of them needs to be castrated!!! If they want to act animals, then treat them like animals!!! 😡😤

[Elon Musk @elonmusk]

That is what they said

[Codez @0xCodez]

https://t.co/eJB3TgyJwV

[Raytar @Raytar]

Met a guy making $1.6 million a year.

Three days ago he was at a Meta conference. Told me he saw the best AI talk of his life.

Boris Cherny was on stage. Showed how the Anthropic team actually uses Claude day to day.

Boris deleted his IDE eight months ago. Now he codes from his phone.

I watched it last night. Had to pause it twice.

Not because it was hard. Because I realized I've been using Claude like a toy.

He sent me the recording. It was never published.

Posting it below.

[The Boring Company @boringcompany]

TBC is hiring exceptional mechanical, electrical, civil, software, and field engineers in Bastrop, Las Vegas and Nashville.

Apply for the July 1 Boring Factory video tour, and hear directly from the engineers who are designing/building Prufrock and trying to Beat The Snail!

https://t.co/MolT6mjOka

[Elon Musk @elonmusk]

Tunnels are under-appreciated

[The All-In Podcast @theallinpod]

it’s makers vs takers

[Himanshu Kumar @codewithimanshu]

Jim Simons turned $100 into $130 billion using math.

He just gave the entire playbook in a free 1-hour MIT lecture.

You've been picking stocks based on Reddit and vibes.

He returned 66% per year for 30 years using equations.

This is the most valuable hour you'll spend this week.

Save the video. Watch it tonight. Build the bot this weekend. Follow
@codewithimanshu

for more high-signal content that turns lectures into income.

↓

Below what nobody is telling you about this lecture.

Everything Jim Simons taught Renaissance Technologies in the 1980s is now buildable in a weekend with Claude Code.

Pattern recognition across thousands of assets. Signal detection in noise. Automated execution.

Risk management at scale. In 1988, this required a team of 50 PhDs and millions in infrastructure.

In 2026, one person with Claude + a laptop can build a working version in 7 days.

The knowledge gap between you and a Renaissance trader is now smaller than it has ever been in history. Follow

Follow
@codewithimanshu
for daily breakdowns of the AI tools that turn this knowledge into income.

↓

What this lecture actually teaches you to build.

Simons walks through the core principles that printed $130 billion:

> Find statistical edges that are invisible to humans
> Trade only when the math says yes, never on emotion
> Run hundreds of small bets simultaneously, not one big bet
> Cut losses ruthlessly when signals weaken
> Compound relentlessly across decades These aren't trading tips.

These are the foundational principles of every AI trading bot worth running. Watch the lecture. Take notes. Then turn it into a system. Follow
@codewithimanshu

for the exact Claude prompts that turn quant theory into deployed bots.

↓

Your weekend playbook to turn this into profits.

Friday night: watch the Simons lecture. Take notes on every signal he mentions.

Saturday: open Claude Code. Build a backtesting framework using historical price data.

Test 3-5 of his core signal ideas.

Sunday: paper trade your best signals on Polymarket, Toobit, or Alpaca. Validate before risking real capital.

Monday: deploy a small position. $100. $500. Whatever you can lose without flinching.

Compound. Iterate. Scale.

That's how a Simons-grade trading system gets built in 2026. Not over 30 years. Over one weekend. Follow
@codewithimanshu

for the exact templates and prompts to build each piece.

↓

for more high-signal content that turns lectures into income.his is the best time in history to build wealth with AI trading.

Jim Simons needed:

> A team of 50 PhDs
> $25 million in compute
> 10 years of infrastructure
> Custom data feeds nobody else had

You need:
> Claude Code
> A laptop
> 7 days of focus
> $20/month in API costs

Same math. Same principles. Same edge.

Different barrier to entry.

People who watch this lecture and build with the knowledge will compound for the next decade.

People who save it for later, will still be picking stocks based on vibes in 2027.

Save the video. Watch it tonight. Build the bot this weekend. Follow @codewithimanshu

[Elon Musk @elonmusk]

No one can save you when they become the police

[Phantom Flow @getphantomflow]

If you’ve tried RSI, MACD, EMAs — and still lose trades…
It’s not your fault.
Those tools were never designed to follow real market moves.

Phantom Flow is different.
It shows you where smart money is actually moving — live, on your chart.

👉 Try Phantom Flow today.

[Sahaj @iamsahaj_xyz]

the fact that this guy's skills are so popular is testament to the relevance and importance of prompt engineering

[Elon Musk @elonmusk]

And this report is just the tip of an enormous iceberg of evil

[Chamath Palihapitiya @chamath]

There are many “simple” features that are more complicated than they look on the surface because of a cascade of dependencies.

For complex, enterprise systems, this is true of most features.

8090’s Software Factory is built to handle this flawlessly. We first help write requirements, expand and frame dependencies and then execute with a more global knowledge of the problem.

You can learn more here: https://t.co/fkfTXgdfXK

Also, I’m completely in love with our visual system. 😍

[darkzodchi @zodchiii]

NVIDIA CEO, Jensen Huang:

"Nobody writes prompts anymore. The new job is to write and handle loops."

He calls it the shift that defines the rest of 2026.

Interview was out just yesterday.

Watch the 23 minute talk, then save the full framework below👇

[Elon Musk @elonmusk]

@KHdimples @wholemars @Tesla_AI This functionality will be there in about 3 months or so

[Nic Cruz Patane @niccruzpatane]

SICK. Elon Musk says the ability to prompt FSD with language is coming within ~3 months.

Basically, you’ll be able to use your voice to tell the car what to do, where to go etc.

K.I.T.T. IRL 🤖

[Berryxia.AI @berryxia]

我靠，这个爽啊～兄弟们

Firecrawl直接把API key门槛砍了，现在不用注册就能直接搜网页、爬页面、解析PDF，Agent开发终于能低成本，高效开发了。

今天开始，你可以直接用他们的endpoint搜索、抓取任意网页内容，还能把PDF转成干净的markdown，完全不用setup。

想先试就直接用，规模大了再注册也不迟。同时支持MCP、CLI和API三种方式。

以前做agent最烦的就是数据获取要先注册、拿key、处理限流，现在直接零门槛上手。

网页内容、PDF解析这些基础能力一键可用，开发者可以把精力真正放在agent逻辑和业务上，而不是先搞定工具链。

这波操作把“先用再说”的理念做到了极致。

很多agent项目卡在数据层，现在这个门槛被大幅降低，实验和原型速度能快不少。

开源和免费试用正在成为新常态，工具类服务也开始卷体验而不是先卷付费墙。

以前大家觉得API产品总要先圈用户，现在Firecrawl用实际行动证明：真正好的工具，是让开发者先跑起来再说。

[lewis martell @lewismartell1]

My playbook is simple: hold these stocks through year-end, and you could be looking at enough gains to buy a car and a house.

$MU ~ Micron Technology (Buy at $1,050)

$AMD ~ Advanced Micro Devices (Buy at $517)

$AVGO ~ Broadcom (Buy at $387)

$MRVL ~ Marvell Technology (Buy at $292)

$DPRO ~ Draganfly (Buy at $5.70)

$IONQ ~ IonQ (Buy at $56)

$SATL ~ Satellogic (Buy at $6.10)

I hope everyone who subscribes to me can make $1 million in gains...

[Gipp 🦅 @gippp69]

THIS GUY WIRED GMKTEC EVO-X2 BOXES, A $40 USB-C BRICK AND AN RTX 3090 INTO A $6,800/MONTH OFFLINE AI FARM

it looks like a messy rack with purple cables, mini pcs and a gpu lying on the desk. but the real point is brutal: one $1,800 gmktec evo-x2 can replace a $440/month ai stack, then the rack turns it into a local backend.

the evo-x2 runs amd’s ryzen ai max+ 395 with 128gb of unified memory shared between cpu, gpu and npu. on linux, that gives up to 110gb of usable vram for local models without renting cloud compute.

that is why the setup gets weird. qwen3-coder 30b, llama 3.3 70b, deepseek v3 and 200b-class models can run from boxes smaller than consoles. the rtx 3090 becomes a 24gb side node, not the whole system.

the $40 anker nano ii 65w brick is the funny part. cheap power, tiny machines, one old gpu and local inference. the whole stack starts looking less like a workstation and more like a private ai grid.

the subscription math is ugly. claude code max is $200/month, chatgpt pro is $200/month, cursor is $20/month and gemini adds another $20. that is $5,280/year before api usage even starts.

point claude code at localhost, pull models through ollama and run agents all day: code reviews, scraping, transcription, research reports and client automations. 3 clients at $2,200/month turns this into a $6,800/month backend.

bookmark this and read the article below