Lifebeats

A futuristic mindset and I'm loving life with A.i,
Interests in fintech,macro economics,quantum mechanics/computing, Ai,robotics and all things tech.

[Lifebeats @ecogendude]

@JamesMac_Fit Been on it for nine months now,im lean at 74kg with 10% body fat,gym,eating clean plus intermittent fasting,muscles in places I never knew existed,cold showers,sauna,yoga,Step once a week,im in my 50s and loving life,my brain thinks so clearly now,I focus without effort.

[Lifebeats @ecogendude]

@InsideLucysHead Lol

[Lifebeats @ecogendude]

@CoachDanGo I eat salmon,eggs,chicken,veg but I also omad 5 days a week,gym,yoga,sauna,cold shower,
I guess its more a lifestyle mix not just food.

[Lifebeats @ecogendude]

@sweatystartup Funny that because I skip breakfast and lunch,which means I can have a high-quality main meal at the same or lower cost,my taste buds dont get a vote,I eat to add the correct code for my body only but I guess you eat for taste,I will ignore your advice but thanks anyway.

[Lifebeats @ecogendude]

@cryptopunk7213 We are still in the wild west stage of Ai.

[Lifebeats @ecogendude]

@cryptopunk7213 Sounds like a biological compute problem not a silicon based problem,like the old I.T saying picnic,problem in chair not in computer.

[Ejaaz @cryptopunk7213]

nvidia fucking killed it today:

Jensen: "we have $1 TRILLION in orders through 2027"

here's everything that went down in GTC day 1:

1. NemoClaw: ai agent operating system for enterprises built on... openclaw. Pete stei built it with them!

2. Space GPUs: SPACE-1 is a radiation-proof version of rubin gpus for orbital data centers. elon very happy.

3. New Vera Rubin GPU is a fucking beast: 350x more tokens, 700M tokens/sec. SEVEN CHIPS. jensen rebuilt the entire gpu architecture v impressive.

4. DLSS 5: enhances shitty video game graphic quality using AI. public is completely torn on this some call it SLOP.

5. MASSIVE AWS deal: amazon to deploy 1 million nvidia GPUs this year globally (great for distribution)

6. Groq collab = fast af inference: combining the $20B groq LPUs with vera rubin for quicker inference models.

7. feyman 2028: new GPU and CPU architecture, dude is already planning years ahead (cpus v important for gpu orchestration)

[harish.rs @Harish_521]

Things to research when bored:

-String theory
-Dark matter
-Analects of Confucius
-The Fermi Paradox
-Quantum Entanglement
-Time dilation and relativity
-Transhumanism
-Lost Civilisations and Myths
-Political Bias in Cartography
-Bioluminescence
-Street art movements
-Legends of Werewolves in Europe
-The Voynich Manuscript
-Green children of Woolpit

[The Smart Ape 🔥 @the_smart_ape]

everyone's talking about @karpathy autoresearch and most of you have no idea what it actually does.

there's a training script (train(dot)py) that trains a small language model, basically a baby GPT. and there's an instruction file (program(dot)md) that tells an AI agent what to do.

you press go. the agent tweaks the training script, trains for 5 min, checks the score. better? keep. worse? revert. repeat 100 times overnight while you sleep.

that's literally it.

what it's actually optimizing: the MODEL ARCHITECTURE. not predictions. not trades. not your portfolio.

stuff like:
→ 4 layers or 8?
→ best learning rate?
→ AdamW or Muon optimizer?
→ what batch size works best on THIS specific GPU?

optimal architecture depends on your hardware. an H100 wants a completely different model than your MacBook. autoresearch finds the best config for your machine automatically.

what you CAN do with it:

> build a tiny LLM that writes code, autoresearch finds the best architecture, you train on your dataset
> create a lightweight chatbot that runs offline on your phone
> train a model on your own writing so it sounds like you
> test "does RoPE beat ALiBi for small models?" 100 variations in one night instead of 3 weeks of PhD work
> optimize a model for a Raspberry Pi or edge device

what you CANNOT do:

> predict stock prices
> find trading edges
> analyze spreadsheets
> predict sports outcomes

autoresearch is a tool for people who want to BUILD language models, not USE them. Karpathy built an autonomous loop where AI improves AI. genuinely brilliant. but it solves a very specific problem.

and that problem is probably not yours. which is fine, just stop pretending it's something it isn't.

[Lifebeats @ecogendude]

@PeterDiamandis I was having this kind of chat with Ai yesterday,we are so far away from acting like a mature species on this planet,I wonder if we will ever have the intelligence to evolve,people wonder if they should trust Ai but should Ai trust us?

[Ejaaz @cryptopunk7213]

so just to recap the last 24hrs

- scientists fused 200,000 human neurons to an AI chip and taught it to play DOOM (see below)

- an AI escaped containment, stole compute and used it to mine cryptocurrency

- OpenAI head of robotics quit over refusing to build tech that autonomously kills people

- Xmoney is officially in beta, AI agents with wallets coming soon

- GPT 5.4 codex kicks opus 4.6’s ass at coding (anthropic nerfed models?)

- @steipete shipped 17362728 open claw updates but still suffered the bullshit of being called an openAI shill (the man doesn’t need the money lol)

- andrej karpathy open sourced an AI that autonomously self-improves while you sleep

- google ceo sundar pichai got a small $ 700M pay package (congrats on the money big dog

- someone modelled out how much money a tesla robotaxi would earn you, ans: $30,000 per year.

i’m overwhelmed but hyped - goodnight

[Ihtesham Ali @ihtesham2005]

I accidentally discovered how to compress a semester of learning into 48 hours.

A grad student at MIT showed me his NotebookLM setup. I thought he was just organized. Then I watched him pass a qualifying exam on a subject he'd never studied before.

Here's exactly what he did:

First: he didn't upload a textbook.

He uploaded 6 textbooks, 15 research papers, and every lecture transcript he could find on the subject.

Then he asked NotebookLM one question:

"What are the 5 core mental models that every expert in this field shares?"

Not "summarize this." Not "explain this topic."
Mental models. The stuff that takes professors years to develop.

But the next part is what broke my brain.

He followed up with:

"Now show me the 3 places where experts in this field fundamentally disagree, and what each side's strongest argument is."

In 20 minutes he had a map of the entire intellectual landscape of the field:
the debates, the consensus, the open questions.

Most students spend a full semester just figuring out what those debates even are.

Then he did something I've never seen before.

He asked:

"Generate 10 questions that would expose whether someone deeply understands this subject versus someone who just memorized facts."

He spent the next 6 hours answering those questions using the source material. Every wrong answer triggered a follow-up:

"Explain why this is wrong and what I'm missing."

By hour 48, he could hold a conversation with his thesis advisor without getting destroyed.

The tool didn't change. The questions did.

Most people treat NotebookLM like a fancy highlighter.
These students are using it like a private tutor who has read everything ever written on the subject.

The difference between a semester and 48 hours isn't the amount of content.

It's knowing which questions to ask.

[Allie K. Miller @alliekmiller]

oh wow - i went to the sold out Open Claw meetup in NYC last night.

let me tell you what i learned.

1) not a single person thinks that their setup is 100% secure

2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision"

3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities

4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle"

5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance

6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad

7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily).

8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless

9) i asked if people are happy - they said they're joyful and stressed at the same time

10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time

11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%)

12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world)

13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number)

14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago

15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs)

16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode.

17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out.

18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github.

19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium

20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset"

21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time"

this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips.

what a time to be alive.

surround yourself with people going deep into this stuff - it will pay dividends throughout the year.

[alpha man @alphaman_111]

15 Sayings That Are Brutally Scary, But Absolutely True

1. You are what you do, not what you promise you'll do.

2. No one will realize your value until your absence is felt.

3. Do not fight for someone to love you; fight for someone who already does.

4. Never think that a person of peace is not skilled at war.

5. Just a minute of anger, lust, or greed can destroy a lifetime of hard work.

6. Any lesson you refuse to learn will keep coming back.

7. The longer you stay on the wrong train, the more expensive it becomes to return home.

8. Ships that wait for the “perfect wind” will never set sail.

9. Fear will never stop death; it will only ruin what is left of your life.

10. You will never heal in the same environment that made you sick.

11. Nothing is worse than avoiding your full potential.

12. Real wealth is having no health problems.

13. Save every stone thrown at you; one day, you will need them to build your own castle.

14. Nobody works harder than someone who hates asking for help.

15. Never be afraid to start again; a new beginning can lead to a better story with a different ending.

[Ejaaz @cryptopunk7213]

busy fucking day in AI - heres everything that happened:

- Qwen dropped 4 ai models that can fit on your phone/laptop + as intelligent as OpenAI OSS-140B (but 13X CHEAPER)

- an 18yr old kid sold his AI calorie-tracking app for ~$80M to myfitnesspal

- a dude turned his macbook m4 chip into a transformer capable of training, and fine tuning ai models (open source!)

- hyundai dropped $6.3B on new ai data center to train self-driving cars and robot humanoids.

- anthropic launched voice mode for claude code (tony stark jarvis is almost here!)

- stock markets positive on the day signalling confidence in AI-enabled warfare - “claude good for war”

- sam & pentagon banned intelligence agencies from using uncensored GPT

- U.S. Treasury banned anthropic's claude following pentagon blacklist.

- dean ball and ben thompson (stratechery) both dropped amazing takes on the anthropic pentagon affair (go read them)

[Lifebeats @ecogendude]

@brandon_Nemeth @MarioNawfal Welcome to the multiverse

[Lifebeats @ecogendude]

@DaveShapi My wife told ChatGPT I was having an affair with Grok...

[Craig Brockie @CraigBrockie]

She’s reinventing the science of aging.

Meet Julie Clark: the 56-year-old whose biological age clocks in at 36.

She’s outpacing Bryan Johnson, the $2M-a-year biohacker, on a mere $4/day.

Here's her simple anti-aging routine for peak health and lasting longevity: 🧵

[Lifebeats @ecogendude]

@elonmusk Ah...the famous one arm bandit algorithm....you know you love it. The question is how will it work in a future with agentics.

[Lifebeats @ecogendude]

@cryptopunk7213 Why bother when he could have just used the rabbit r1,what a waste of time and energy