Mark

257 posts

Mark banner
Mark

Mark

@babbitt_mark

Katılım Kasım 2014
236 Takip Edilen30 Takipçiler
Mark retweetledi
min
min@untomta·
chilean bibimbap
min tweet media
Indonesia
44
2K
15.9K
123.5K
Mark retweetledi
NASA Artemis
NASA Artemis@NASAArtemis·
POV: You’re coming home after a journey around the Moon. 🌕 Before reentering Earth’s atmosphere at the end of Artemis II, the Orion spacecraft’s crew module — carrying the astronauts — separated from the service module that provided propulsion and power throughout the mission.
English
234
2.4K
17.2K
1.4M
Mark retweetledi
Joe🪿
Joe🪿@PortugueseGeese·
Joe🪿 tweet media
ZXX
53
4.9K
89.6K
854.9K
Mark retweetledi
laurinha 🦠
laurinha 🦠@ecto_fun·
i was eating sun dried tomatoes and i said to my son whos obviously a cat “ur telling me my son dried these tomatoes” and i thought my delivery was so good but he looked at me like it was so stupid it somehow transcended the language barrier
English
16
2.4K
50.8K
355.4K
Mark retweetledi
🦂finn
🦂finn@dogsmellsgood·
Holy fucking shit. Finally found the name for it. Im going to cry Ive never been able to explain this to anyone they never know what im talking about
🦂finn tweet media
English
3.4K
2.2K
37.1K
3.9M
Mark retweetledi
Tesla Optimus
Tesla Optimus@Tesla_Optimus·
Optimus will be the biggest product ever made. A general-purpose humanoid robot that can do useful work at scale will change the economics of labor & manufacturing. Goal is to get Optimus to high-volume production as fast as possible. If you’re great at AI, engineering, or manufacturing & want to build this, join us! → tesla.com/careers/search…
English
1.4K
4.1K
25.9K
2.4M
Mark retweetledi
Dwarkesh Patel
Dwarkesh Patel@dwarkesh_sp·
When Copernicus proposed heliocentrism in 1543, it was actually less accurate than Ptolemy's geocentric model - a system refined over 1,400 years with epicycles precisely tuned to match observed planetary positions. It took another 70 years before Kepler, working from Tycho Brahe's unprecedentedly precise observations, replaced Copernicus’s circles with ellipses - finally making heliocentrism empirically superior. Terence Tao's point is that science needs a high temperature setting. If we only fund and follow what's most state of the art today, we kill the ideas that might need decades of work to surpass some overall plateau.
English
123
585
4.8K
538.6K
Mark retweetledi
Adib
Adib@adibvafa·
Proteins can now talk. Introducing BioReason-Pro, the first reasoning model for protein function. A thread🧵
English
50
257
1.6K
201.9K
MrBeast
MrBeast@MrBeast·
If you won Beast Games would you rather take $5,000,000 upfront or $50,000 a month for life?
English
23.1K
1.9K
54.5K
11.4M
Mark retweetledi
outside five sigma
outside five sigma@jwt0625·
ever wondered what's the S21 between you and your partner? now you know it is about -100 dB. honestly explains a lot. (at 10 MHz, between wrists)
outside five sigma tweet mediaoutside five sigma tweet media
English
8
12
372
43.7K
Mark retweetledi
aditya
aditya@adxtyahq·
bro. someone built a terminal weather app in Rust with live ASCII animations. it literally rains / snows inside your terminal when it’s raining / snowing outside 😭 this is peak software.
English
346
2K
29.7K
802.8K
pika
pika@pikadyor·
The reply thats gets 0 likes receives $500
English
16.7K
300
8.9K
1.4M
Mark
Mark@babbitt_mark·
@TheVixhal Whereas first and second are in the same category an average person could be 6 orders of magnitude away.
English
0
0
0
2
Mark
Mark@babbitt_mark·
@TheVixhal While true in a sense isn't this statement irrelevant or at least disingenuous in that the same applies for the difference between 2 million and 8 million or any large number as such, a more indicative comparison would be one of order of magnitude.
English
1
0
0
11
Mark retweetledi
Jack Morris
Jack Morris@jxmnop·
at long last, the final paper of my phd 🧮 Learning to Reason in 13 Parameters 🧮 we develop TinyLoRA, a new ft method. with TinyLoRA + RL, models learn well with dozens or hundreds of params example: we use only 13 parameters to train 7B Qwen model from 76 to 91% on GSM8K 🤯
Jack Morris tweet media
English
60
232
2.1K
182.2K
Mark retweetledi
NASA
NASA@NASA·
We're heading to the Moon. The launch window opens as early as Feb. 6 for our crewed @NASAArtemis mission. Throughout the journey, we'll bring you live coverage on NASA+: plus.nasa.gov
English
1.4K
5.1K
29.1K
2.2M
Mark retweetledi
Vlad Saigau
Vlad Saigau@VladSaigau·
A world with 10,000 Starships manufactured a year Elon floated a production end-state of ~10,000 Starships per year. When this happens is beside the point; the number tells us how SpaceX is thinking about the terminal cost regime. If Starship manufacturing truly industrializes, what happens to $/kg, and what becomes economically viable? We applied Wright’s Law (conservative 85% aerospace learning rate) to Starship manufacturing to isolate how scale drives cost. Two representative regimes emerge: ~$35/kg at ~1,000 Starships/year (~10 average flights per vehicle). This is the intended near-term production milestones of Starbase. ~$10/kg at ~10,000 Starships/year (~20 average flights per vehicle) These are “lines in the sand” that define early-industrial vs fully-industrial cost floors. Interestingly, $/kg asymptotes quickly with reuse. Most cost reduction is captured in the first 10-20 flights (Falcon boosters already exceed 30 reuses). Beyond that, ops and payload economics dominate. Reuse moves the system along the curve, but manufacturing scale and operational throughput define the curve. Extreme reuse doesn’t get you to $10/kg. Industrial scale does. We then translated $/kg into human-scale economics (100 kg ≈ a person, or ≈10 kW of compute satellite) to see what actually becomes rational: • Point-to-point travel: ~$1,000 transport cost per passenger, about the same as transatlantic business class • 1 GW of orbital compute: ~$100-300M to place in orbit, a rounding error relative to the hardware. • Moon surface: ~$4k per person-equivalent • Mars surface: ~$5-6k per person-equivalent These aren’t mission costs at this stage, they’re transport economics. Which leads to the uncomfortable conclusion: Viability consistently precedes acceptance. Point-to-point still feels far away. Orbital infrastructure still feels exotic. Mars still feels implausible. But if $/kg collapses, these outcomes don’t require belief, they follow arithmetic. 10,000 Starships/year cannot be used by Mars alone; it implies continuous mass flow across people, cargo, propellant, and infrastructure - linking Earth, the Moon, and Mars. At that scale, Starship stops behaving like a rocket as we know them today, but as a cornerstone of human logistics infrastructure. Read the full breakdown here🧐 research.33fg.com/analysis/a-wor…
Vlad Saigau tweet media
English
43
80
910
164.6K