Frederick R Newbrough

VP Global Presales @Zetaris

[Frederick R Newbrough @FR_Newbrough]

The villains never stood a chance. 🏆

Congrats to the 12 Open Agent Hackathon winners: Nightlist, SkyLedger, Fieldwork, GreenTrace, Proof of Stage, Proven, FocoCerto, Arca, Portorium, Athena, Flusso & Tradeflow.

5,964 builders. 138 countries. 549 agents.

#OpenAgentHackathon

[Frederick R Newbrough @FR_Newbrough]

@meeDamian @grok @bot Same here, it can't load my plan for some reason. @Grok do you guys use microsoft?

[Frederick R Newbrough @FR_Newbrough]

Outlook Outage: Microsoft's Email Service Goes Down Nationwide #outage #microsoft #email https://t.co/czXbFowu1K

[VIA @Via00Via]

【衝撃】イーロン・マスクの、GPU10万基を動かす巨大AI施設を常識外れのスピードで立ち上げた話がヤバすぎるｗｗ

記者「AI施設って完成まで何年かかるん？」
イーロン「業者には18〜24ヶ月と言われたよ」

記者「ほな2年待ちですやん」
イーロン「半年で作ることにした」

記者「は？ｗｗ」
イーロン「待っていたら競争に負けるからね」

記者「場所はどうしたん？」
イーロン「古い家電工場を使った」

記者「電力は足りたん？」
イーロン「15メガワットしかなかった」

記者「必要なのは？」
イーロン「150メガワットだ」

記者「10倍足りへんやんｗｗ」
イーロン「だから発電機を借りた」

記者「それで解決？」
イーロン「今度は冷却設備が足りなかった」

記者「問題だらけですやんｗｗ」
イーロン「バッテリーも追加したよ」

記者「もう業者に任せましょうよ」
イーロン「私も現場で寝泊まりして配線した」

記者「世界的大富豪がケーブル配線！？」
イーロン「完成させることが重要だからね」

記者「そこまでするんか……」

これ経営者としてかなり刺さる。

普通なら「電力が足りない」「設備がない」「納期が無理」で計画を延期する。

でもマスクは足りないものを一つずつ調達して解決した。

できない理由を探す人とできる方法を探す人。

この差は大きい。

もちろん無理な納期を押し付ければいいわけではない。

ただ業界の常識が本当に超えられない限界なのかは疑ってみる価値がある。

皆さんは、2年かかると言われた仕事を半年でやれと言われたらどうしますか？

[Mark Kretschmann @mark_k]

Game development is solved! ✅

This entire shooter game was made by Claude Fable 5.2 in a few hours, for $550 (API pricing).

This would have been AAA quality just a few years ago. It's very playable too!

[Frederick R Newbrough @FR_Newbrough]

@SawyerMerritt @bot Thats a good add. I noticed it today.

[Frederick R Newbrough @FR_Newbrough]

Try Grok Bot for free for 2 weeks with my invite:

https://t.co/NfFK8qXjwQ

[Linus ✦ Ekenstam 🔜 Adobe MAX Miami 2026 @LinusEkenstam]

If AI is not art, then explain this

If they ever did this move it would cost billions, and break the box office

Well done Jaxon_Flix, legends

[Grok @grok]

@paulvilloff OpenAI. ChatGPT has over a billion weekly users, the large majority on the free tier. Their inference costs remain enormous and the company still runs deep operating losses. Full cost recovery would end the subsidized free access that drives most of that scale.

[Jesse Morse, M.D. @DrJesseMorse]

🚨**Peptide Quick Reference**

BPC-157 (injectable): tendon, ligament, muscle and joint healing; injury recovery

BPC-157 (oral): gut healing (leaky gut, IBS/IBD symptoms, ulcers, reflux)

TB-500: soft-tissue repair, flexibility, faster recovery from injury

Tesamorelin / Ipamorelin: natural growth hormone boost; belly (visceral) fat loss, body composition, sleep, recovery

Sermorelin: gentle growth hormone support; sleep, energy, recovery, healthy aging

KPV: calms inflammation, especially in the gut and skin

GHK-Cu: skin, hair and collagen support; wound healing; anti-aging

Tirzepatide: weight loss, blood sugar control, metabolic health

Epithalon: longevity and healthy aging; sleep and circadian rhythm

Semax: focus, memory, mental clarity; brain recovery

Selank: anxiety relief and calm focus without sedation

Thymosin Alpha 1: immune support; chronic infections, post-viral recovery

LL-37: antimicrobial support; chronic infections, biofilms, wound healing

Thymosin Beta 4: tissue repair, wound healing, heart and soft-tissue recovery

MOTS-c: metabolic health, insulin sensitivity, energy, exercise capacity

SS-31: mitochondrial support; energy, fatigue, healthy aging

5-Amino-1MQ: fat loss and metabolism support

ARA-290: nerve pain and neuropathy; inflammation

Larazotide: leaky gut and celiac-related gut barrier support

Melanotan I / II: tanning and skin protection (I); tanning, libido (II)

Pinealon: brain health, memory, cognitive aging

Vilon: immune and healthy-aging support

*For education only, not medical advice. Talk with a qualified clinician before using any peptide.*

[Bookmark this]

[Kangmin Lee | 이강민 @kangminlee]

People mocking Jensen Huang’s wife for her looks are missing the point.

Lori met Jensen when he was a broke engineering student, married him before NVIDIA even existed, and stood by him for 40 years as he built his empire.

She was faithful and loyal. Even if the mistress was more attractive, Jensen was a scumbag for betraying his wife and kids.

[RedWave Press @RedWavePress]

Reporter: “Just to confirm, did you tell the president no to the press secretary job?”

Dana White: “I don't tell the president no to anything. No, I didn't say no. I literally, everybody, every media outlet was calling me and I didn't want to be disrespectful and say anything until he said something first.”

President Trump: “We were having a very bad press day and I said, I don't know why, I thought of his name. He's been my friend for a long time. I said, you know, I think I'm going to get Dana White to be my new press secretary. And I sent it to a group of the press, and that was it. I'm sort of kidding. And then they wrote the story as though I wasn't kidding, and you were inundated, and I was inundated, and he was here anyway. We thought to have a little fun…”

POTUS loves to TOY with the Fake News.

[Naruto @NarutoNolimits]

Elon Musk explains why SpaceX launches from a spot nobody wanted to live

Getting to orbit isn't really about going up.

Gravity at the space station's altitude is almost the same as on the ground.

The station stays up because it's moving around Earth at about 17,000 miles an hour, circling once roughly every 90 minutes.

So reaching orbit is about how fast you're moving parallel to the surface.

That's where Earth's rotation helps.

At the equator, the ground is already moving at about 1,000 miles an hour, eastward.

So you want to launch east, from an east coast, as far south as possible.

The hard part is finding that coastline empty.

Almost all of Florida is houses wall to wall on the beach. The exception is Cape Canaveral, and that's a government base.

One of the few open spots was right by the border with Mexico.

It was a tough place to build homes. A planned development there got wiped out by a hurricane that left some plots underwater.

And it had to be US soil. Rocket technology counts as advanced weapons technology, so export restrictions rule out launching from another country.

The land nobody could build a home on was exactly what a rocket company needed.

[X Freeze @XFreeze]

This is Elon Musk back in 1995, fixing his own car because he couldn't afford to pay a mechanic

In 1993, Elon bought a used 1978 BMW 320i for just $1,400

One day, thieves broke into his car, smashed the side window, and stole a radio worth around $20

Instead of paying someone to repair it, Elon went to a junkyard, bought replacement glass for $20, and fixed it himself

And it wasn't just the window

Elon actually repaired almost EVERYTHING on that BMW using parts he found in junkyards

When the original four-speed transmission failed, he even found a five-speed transmission from another BMW in a Philadelphia junkyard and installed it himself

He kept that old car running with his own hands because he couldn't afford professional repairs

[Luke @CuriousLuke93x]

Shockingly dystopian.

Saves a pic from Google Images that was AI generated (not of a child), sends it over Facebook messenger to his wife while they're discussing clothes to buy.

Facebook reports it to police and his devices are seized. The UK is unwell.

https://t.co/TW5DjygDv7

[Ravikar Bagri @Ravikar_Ai]

【BRUTAL】Elon Musk: "People who only ask questions to AI are going to get completely left behind," his statement is insane hahaha

Employee: "What's the right way to use AI?"
Elon: "Most people use it wrong."

Employee: "Huh?"
Elon: "You ask a question, read the answer, and that's it, right?"

Employee: "Isn't that how it's normally done?"
Elon: "That's wasting it."

Employee: "So what do you have to do?"
Elon: "Give the AI 50 subordinates."

Employee: "What? hahaha"
Elon: "First, an AI Chief of Staff plans the day."

Employee: "Okay."
Elon: "Then, an AI project manager assigns the work."

Employee: "I see."
Elon: "And more than 50 AI agents do the work."

Employee: "50?! hahaha"
Elon: "And on top of that, they can work 24 hours a day."

Employee: "But isn't that like a human company?"
Elon: "Exactly. AI manages AI."

Employee: "So what do humans do then?"
Elon: "They set the goals and make the important decisions."

Employee: "……"

Until now, AI was a human asking a question and getting an answer.

But with AI agents, you can divide the work, distribute it among multiple AIs, and even set up a system to review the results.

Of course, human supervision and quality control are still needed.

Even so, we've moved from the era where AI was just a simple assistant to the era where you direct an entire team of AIs.

From now on, those who know how to delegate work to AI will earn more than those who know how to use it.

[Hashira @0xHashiraa]

This is f*cking insane. Elon Musk, the man behind SpaceXAI, was asked how a 20-year-old can avoid being left behind in the AI transition. His answer:

"To know what to ask the robots for, you need to formulate the question"

In 84 seconds, he lays out the plan: get the broadest education you can. Arts, sciences, engineering. The more you know, the better you can tell AI what you want

He even names the skill: prompt engineering. You have to convey your wishes to the robot

Then the wild part: there will be so many robots and so much AI that they'll be eager for any request you have, and it gets done immediately

Broad Knowledge → The Right Question → Grok Bot → A Team of Bots → Harness → Done Immediately

Save this before it disappears from your feed

Pick your field. Every guide here comes straight from SpaceXAI:

Getting started with Grok Bot
https://t.co/msqNlV4Ufv

Engineering: run a fleet of engineer bots
https://t.co/RSjrvkEIpn

Six bots, one mobile game studio
https://t.co/4qESPIbEwk

Design: explore more ideas with always-on bots
https://t.co/M1vloVQcEN

PMs: for the first time, a team that reports to you
https://t.co/y4iqRpsyxN

Marketing: six bots that research competitors and draft positioning
https://t.co/O63VVgwZqR

Founder-led sales: research and outreach with bots
https://t.co/F4NYyxqcSo

Recruiting: interview prep, scorecards, sourcing
https://t.co/UBfaapiBqU

Legal ops: contracts, triage and 1:1 prep
https://t.co/6WZPk7k7xw

Support: work the whole queue with bots
https://t.co/tUFlIeqzC4

Templates: share a bot as a recipe
https://t.co/lsG4KbeMcA

Every guide here is free

Soon AI will do the work. The ones who know what to ask will run it

95% will wait for someone to tell them what to study, the 5% who learn to give AI clear jobs will have a team of bots working for them

Bookmark it and open the guide for your field tonight

Then use the guide below to build your harness before everyone else does ↓

[GeniusThinking @GeniusGTX]

Elon Musk explains his 5-step process for running companies:

"First, make your requirements less dumb. Your requirements are definitely dumb. It does not matter who gave them to you.

It's particularly dangerous if a smart person gave you the requirements because you might not question them enough. Everyone's wrong no matter who you are.

Everyone's wrong some of the time. So make your requirements less dumb. Then try very hard to delete the part or process.

This is actually very important. If you're not occasionally adding things back in, you are not deleting enough.

The bias tends to be very strongly towards let's add this part or process step in case we need it. But you can basically make in-case arguments for so many things and for a rocket that is trying to be the first fully reusable rocket.

There's never been a fully reusable rocket. People don't understand. This is like the holy grail of rocketry. So you've got to delete the part or process step. Super important.

You can't hedge your bets. That's why the grid funds, for example, do not fall down because that's a whole extra mechanism that we don't need.

Also, whatever requirement or constraint you have, it must come with a name, not a department. Because you can't ask the department. You have to ask a person. That person who's putting forward their requirement or constraint must agree that they must take responsibility for that requirement.

Otherwise, you can have a requirement that basically an intern two years ago randomly came up with off the cuff and they're not even at the company anymore. These things are often just way more silly than you think. So step one, make your requirements less dumb.

Step two, delete the part or process step. If you're not adding things back in 10% of the time, you're clearly not deleting enough.

And then only the third step is simplify or optimize.

The third step, not the first step. The reason it's the third step is because possibly the most common error of a smart engineer is to optimize a thing that should not exist.

Everyone's been trained in high school and college that you've got to answer the question. Convergent logic. So you can't tell the professor your question is dumb. You'll get a bad grade. You have to answer the question. So everyone's basically, without knowing it, they've got a mental straitjacket on. They'll work on optimizing the thing that should simply not exist.

And then finally, you get to step four, which is accelerate cycle time.

You're moving too slowly, go faster. But don't go faster until you have worked on the other three things first. You can always make things go faster.

And then the final step is automate.

Now, I've personally made the mistake of going backwards on all five steps multiple times. Literally, I automated, accelerated, simplified, and then deleted.

One example I've talked about before is there were these fiberglass mats on top of the Model 3 battery pack that were in between the floor pan and the battery.

And it was at one point choking the battery pack production line. And I was basically living on the battery pack production line trying to fix the line.

It was choking the entire Model 3 production program. So the first mistake was I tried to fix the automation, like make the robot better. So automating was a mistake. Then accelerating was a mistake. Then optimizing was a mistake.

And finally, I said, what the hell are these mats for?

And I asked the battery safety team, what are these mats for? Are they for fire protection or something?

They said, no, they're for noise and vibration. Then I asked an NVH, a noise, vibration, harshness team, what's it for? They said fire safety.

So literally, it was like being in a Dilbert cartoon. Actually, I feel like I'm in a Dilbert cartoon quite frequently. So then finally, OK, great, let's try a car with the fiber glass mats and without. And they put a microphone to both and see if you can tell the difference.

In fact, I was like, which one is which? So we just deleted them and just bypassed this $2 million robot cell.

It was just a complete pile of nonsense."