@Jaime_Fe_Ro @gigafactories Maybe when you're worth a trillion dollars you can teach Elon how it's done.
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jelsc
300 posts
@gigafactories Sad.
If you knew how to advertise maybe they would still be alive and Optimus could have been birthed somewhere else 😓
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End of an era: Decommissioning the original Model S & X assembly line in just 46 days
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@ryancarson I max out 3 top subs and average 31 PRs a day, ~600/mo. Are you using straight API?
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I'm starting to hit $15-20k per month in token spend for engineering - just for myself.
Next month I'll be looking to implement the kinds of things that Brian is doing here at Coinbase.
Most likely switching to GLM 5.2 as default and only using frontier models for harder tasks.
I can probably get that $20k down to <$5k pretty easily.
I'm pretty sure we'll see everyone doing this.
It's just not financially viable to do everything with frontier models
This is another reason I think we'll see people move away from choosing a lab for their harness (CC or Codex) and move their code factories to in-house agents like @tryramp or agent labs like @DevinAI @FactoryAI @cursor_ai @AmpCode
The labs are not incentivized to drive down your token costs
Brian Armstrong@brian_armstrong
How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching. Better Defaults (not Usage Caps) – Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting to open weight models like GLM 5.2 and Kimi 2.7 through our LLM gateway, while still encouraging engineers to choose the right model for the task. 91% of our employees were never hitting their usage caps, so instead of lowering caps and driving up alerts, we're moving to cheaper defaults. Note that code reviews use a diversity of models, so they can check each other's work. Better Routing – In our custom harnesses, we preprocess prompts and route to the best model for the job, considering cache hits and model pricing. For instance, you may want a frontier model for planning, but not for execution where they can be overkill. Ultimately, humans shouldn't be choosing models - AI can automate this task. Better Caching – Cache misses are the easiest way to drive your cost up. All of our requests are cache aware, so we’re reusing a warm cache wherever possible. For example, our cache hit rate went from 5% → 60% in LibreChat once properly implemented. Keep Context Lean – Start fresh sessions when switching tasks. Scope file context narrowly. Disconnect unused tools. Don't just compact. The goal isn't fewer tokens used, it's fewer tokens wasted. Better Visibility – Our engineers can use as many tokens as they want, from whatever model they want, but we’ve made usage visible – and the more you spend on AI, the more impact we expect. The goal isn't to suppress usage. It's to build the infrastructure that makes exponential growth sustainable. Putting this into practice has cut our AI spend nearly in half, while our token usage continues to grow.
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jelsc retweetledi
No, you don't get it.
He does not have $1 trillion sitting in cash, it is 99% stock in his companies.
To make that wealth liquid would mean selling all that stock which would swiftly destroy *both* the companies (Tesla, SpaceX, others) and the wealth. If he sold it all, he'd end up with maybe $100b max, several hundred thousand people would be out of work, the companies ruined and many of their suppliers also ruined.
Okay, but now Elon has $100b in cash, and can "solve the world's problems".
$100b divided by the world's 8 billion people is $12
If you were in charge, several of the most innovative industrial companies in the world would be destroyed, hundreds of thousands out of work, and space would again close to human civilization for another generation.
But everyone on earth could have one nice meal and you could revel in your altruism.
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@_9th_Life_ I know people are doing like 12mg of reta, is that 2mg range good for preserving muscle? Also how long till it kicks in? Do you have full blood before and after you could post?
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The Reta era has come to an end... Bittersweet moment for sure.
7 months ago I started Reta, in a phase of life that was dramatically different than where I am now. Today, I'm about to look in the mirror and genuinely be happy with what I see. This peptide, among other critical lifestyle changes, has been the backbone of my weight loss journey starting in late 2025.
Now that I've reached the body fat and health markers I set out to improve, I've made the decision to switch to low dose tirz, entering a weight management phase.
(All of this information is for educational/research purposes only, not medical advice, just my n=1 experience)
Overview:
- Start (Dec 2025): 215 lbs, ~21% BF (est.), 38" waist
- Now (June 10, 2026): 178 lbs, 7.9% BF (Seca), 29.25" waist, VAT <0.2 L Roughly 1.4 lbs/week loss across the full run.
More end-point data:
- 46% skeletal muscle mass
- Grip strength 134.8 lb
- Top 1% body-comp on the Seca scan
NOTE: Seca percentile scores your full body composition (muscle, fat, fat distribution, visceral fat, fluid balance) and benchmarks it against an age- and sex-matched reference population. I came back in the top 1% of that group. I take that data with a grain of salt, but visually I'd put myself in the 8-10% BF range now.
Latest labs (April 2026):
- Metabolic: Glucose 70, fasting insulin 3.0, A1c 4.9
- Lipids: HDL 49, TG 42 (1:1 with HDL), LDL 69, ApoB 56 (5-10th percentile), Lp(a) <10, CRP 0.4
Now the full picture. I want to be transparent about every lever I was pulling through this process. This was not a Reta clinic trial. It was one piece of a full biohacking protocol.
Hormones and peptides:
- Retatrutide: 2mg start, ran 1.5-2.5mg/wk (Dec 2025 to now)
- Testosterone (TRT base): 200mg/wk, dropped to 180mg/wk mid-run
- HCG: 500 IU 2x/wk throughout
- Tadalafil: 6mg, 3x/wk through the run, daily now
- Anastrozole (AI): dropped April
- CJC-1295 / Ipamorelin: cycled
- Tesamorelin: short block (3 weeks)
- MT2: off and on (inconsistent)
- SS-31: added late May
- MOTS-c: added late May
- GLOW: added late May
Supplements: creatine, omega-3, CoQ10, vitamin C, DHEA, magnesium bisglycinate, glycine, NAC, TUDCA, pregnenolone, thyroid support, B-complex, taurine, L-theanine.
Positive benefits I noticed:
- More focused
- The most energy I've felt in a calorie deficit
- Most successful weight loss phase in my life
- Lost desire for alcohol and THC
- Less pull toward cheap-dopamine habits (gambling, mindless scrolling, video games)
- Less desire for junk food (except cookies)
Negative observations:
- Increase in RHR (mid-50s to low-70s)
- Decreased sleep quality
- Forgetting to eat
- A flat, apathetic mood when I pushed the dose to 2.5mg
- Decrease of interest in hobbies
Why I'm switching:
The fat-loss goal has been accomplished. I am now switching to into a weight management/optimization phase. Even on low dose reta (1mg), I still have the RHR and sleep quality issues. So I am going to be transitioning into an experiment with low dose Tirz to see if I see improvements on these markers.
What's next:
- Hold 178-180 through the summer, then a lean bulk around the holidays
- Keep dialing caffeine and nicotine down
- Improve sleep and RHR
- Shift focus to maintenance, muscle gain, and optimization in and out of the gym
This chapter was the backbone of the biggest change I've made to my body and lifestyle.
I'm closing it grateful and more locked in than ever on what comes next. I am sure that I will look back at this experiment with a bit of nostalgia at some point.
Thank you to everyone who's been following my biohacking/peptide journey. We're up to 2,770 followers now and it's just unreal how supportive and awesome the X community is. I have learned so much from engaging with people on this platform and want to continue to grow alongside everyone else following a similar journey.🦾
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@LeakerApple If these specs are real:
20 CPU cores
6,144 Blackwell CUDA cores
128GB unified memory
then the most interesting benchmark won't be gaming.
It'll be: how many developers stop renting GPUs and start running 70B–120B models locally
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Nvidia’s new ARM-based SOC is rumoured to feature:
- Up to 20 CPU cores
- Up to 6144 Blackwell CUDA cores
- Use a TSMC 3nm process
- Up to 128GB unified memory
This has the potential to be an M5 Max competitor for AI-developers.
NVIDIA@nvidia
A new era of PC. 25.0528, 121.5990
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Honestly, I think $99/mo for FSD V14 on HW4 is an extraordinary fair price. The car will literally drive you anywhere.
There’s people who pay $26.99/mo for Netflix lol.
FSD Subscription on HW3 should probably cost less, unless V14 "Lite" brings new capabilities like HW4.
XHabib@XHabib
Tesla FSD is great but not everyone wants to pay for a full month Should they offer more granular options?
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@EvanLuthra RTX pro 6000s will flood craigslist and I'll be able to afford one finally!
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🚨BREAKING: NVIDIA WILL NOW PAY YOU OVER $22,000 A YEAR TO HOST A MINI AI DATA CENTER IN YOUR HOME.
Here's how it works:
A startup called Span (with NVIDIA GPUs + homebuilder Pulte) just launched a program that installs a "node" outside your house, the size of an AC unit.
What's inside one box:
→ 16x NVIDIA RTX PRO 6000 Blackwell GPUs
→ 4x AMD EPYC server CPUs
→ 3TB of memory
→ a 15kWh whole-home backup battery
That's $200k+ of hardware sitting next to your air conditioner. You own none of it.
The deal for homeowners:
→ Free install (new builds first)
→ Span pays your electricity AND internet bills
→ You pay them one flat fee (~$150/mo)
→ Net savings can hit thousands a year
It runs on the "stranded power" your home never uses. The average 200-amp house wastes ~40% of its capacity. They're turning that into compute.
The vision is wild: Span says 8,000 of these nodes = a 100MW data center, but 5x cheaper and 6x faster to deploy. No new power plants. No 4-7 year grid delays.
AI demand is breaking the grid. Their fix? Skip the mega data center. Build it across thousands of suburban garages instead.
100-home pilot drops Fall 2026. Full rollout 2027.
The AI buildout just moved into your backyard.
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@elonmusk Anyone know how toxic the propellant he uses is?
How much ecological damage is he doing with all these stupid launches.
We are never leaving this solar system with out help from an extraterrestrial intelligence...ever.
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@spunkyX2 @jelsc @nitingg4471144 @YA09527 @Moaxluxy @KarrieRoss @ghisellespino @munr12 @stradkrl @TBWTMM @0xterricola @yahay76569 @Cryptoo707 @heypest53965 @MohamedMash3al0 @Privacy709 @MD643x @oatist_9dan @shaniquawatts @putraa_145 #XCx9PCILalvHCcDiz5eoB4BqUqX57fcyelH2uGmgY8Fbmpb3z6vihxqvadMfxTZSEkBBlgryYpYm6xWV6cBGBUzCqNMohFjBAbDh x.com/i/lists/205752… x.com/i/spaces/1lKQR…
QAM
Reminder that Grok Build is iterating extremely fast and we are highly responsive to critical feedback.
Fixes & upgrades are dropping every day.
Brivael Le Pogam@brivael
Just started testing the @grok Build beta. First feel: UX is nice, still some rough edges, but model speed is genuinely cool. If task quality on hard stuff matches opus 4.7 (or even slightly below) at this speed, it's a game-changer. Good chance they steamroll the competition.
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@HealthyAlfred I ran bpc157 for: Grade 1 ACL sprain, a Grade 2 MCL sprain, tear at the meniscofemoral ligament, partial tear in the quadricep, cartilage damage. No surgery, no 3rd nipple, all healed up.
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BPC-157 was tested on HUMAN knees. Not rats. Humans.
16 patients. Real knee pain. Osteoarthritis. Meniscus tears. Ligament damage.
Their doctors gave them two options: cortisone or surgery.
They got BPC-157 instead.
90% reported pain relief. Not for a week. Not for a month. Past 6 MONTHS.
(PMID: 34324435)
Every time someone says “it’s just rat studies” — show them this.
Cortisone numbs pain for 3 weeks then BREAKS DOWN the collagen holding your knee together. You pay $500 to accelerate the damage.
Surgery costs $15,000-50,000. Months of recovery. And most knees are never the same.
BPC-157 grows new blood vessels into the damage. Builds fresh collagen. Activates repair your body stopped sending.
→ 90% pain relief past 6 months
→ no surgery
→ no cortisone
→ no side effects reported
→ a peptide your stomach already makes
16 patients. 90% success. Published. Peer-reviewed.
Your orthopedic surgeon charges $30,000 and gives you a 60% chance.
BPC-157 cost a fraction and hit 90%.
That’s not even the craziest thing BPC-157 has done. Check the comments.
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Very cool! But why is he only working an 8-hour shift? Does he need to charge? Well, I guess his workday is almost over. What do you think he does after work?
Figure@Figure_robot
Watch a team of humanoid robots running a full 8-hr shift at human performance levels. This is fully autonomous running Helix-02 x.com/i/broadcasts/1…
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@RapidResponse47 @DrOzCMS Who taught this guy how to count with fingers, starts with pinky, switches to pointer then goes down hill
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.@DrOzCMS announces a nationwide moratorium on new hospice and home healthcare licenses due to the massive scale of fraud until states better comply with the Trump Administration's efforts to restore integrity to the programs
Rapid Response 47@RapidResponse47
MUST WATCH: @DrOzCMS outlines the stunning level of suspected Medicaid and hospice fraud in California uncovered by the @WHFraudTF
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We're launching a huge SDK credit simplification on June 15:
* Agent SDK/-p draws from a new bucket instead of your interactive limits (which stay exactly the same)
* Every plan comes with $20-$200 of monthly SDK credits
* You can use 3P tools like T3/OC with these credits
ClaudeDevs@ClaudeDevs
Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage. The credit covers usage of: - Claude Agent SDK - claude -p - Claude Code GitHub Actions - Third-party apps built on the Agent SDK
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Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage.
The credit covers usage of:
- Claude Agent SDK
- claude -p
- Claude Code GitHub Actions
- Third-party apps built on the Agent SDK
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This 2019 Tesla Model 3 owned by @Drive_Protected has 381,069 miles (613,271 km) on the odometer.
It’s on the original battery and rear motor.
Today, it’s undergoing a LFP battery swap.
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