@pinchetobs

Soy Tobs! 🔭👀 Viajo al pasado.⏳🌱⚡️☮️ 51% Alíen👾 49% Indígena 🇯🇵99% plant-forward🦿1% Máquina 🦄wordcel with low shape-rotator-score 🏴‍☠️CTO Pirata

Lagrange Point L2
Joined April 2022
function-beneficiary primary value holistic systems temporal-spatial structured socio-technical lens jargon
how do you feel about: not being constrained by “object-oriented” thinking ?
1
1
3,224
hey listen: you can just find out!
Why wonder when you can just find out
1
19
book cover art
Paid a small fortune for this book - I want to understand how the sudden advancement in technology+computing in 1982 should have meant the end of needing any programmers to build software As this topic is very relevant again, with the sudden advancement w technology+computing
34
suban la apuesta con SysML v2 y ISO 19450: ⬜️SysML es un fork del UML, pero para sistemas completos (hardware, software, requisitos), no solo sistemas intensivos en software o software orientado a objetos. ⬜️ISO 19450 es otra cosa: Object-Process Methodology (OPM). Modelo el sistema con objetos y procesos, y el texto y el diagrama salen del mismo modelo, en los dos sentidos.
Hm, there’s this thing called the SysML V2 or ISO19450… (multidisciplinary + text and diagrams bidirectionally, beyond the limitations of sw object-oriented UML) yes, SysML is a fork of UML.
1
53
SysML v2 se soltó de UML y se arma sobre KerML: ⬜️Hay gramática (BNF) de una notación textual que es parte del estándar, no un hack de la comunidad. El modelo se escribe. ⬜️El diagrama es otra vista del mismo modelo, no el modelo. ⬜️La semántica formal (modelo-teórica) está definida en el KerML: clasificadores como conjuntos, features como relaciones. El resto de SysML v2 se define encima de eso y de una librería semántica, no con párrafos sueltos (OPL)
25
the new big-mac scale
Not Blender btw, it's my own software. Blender just never clicked for me lol Might sell it on Gumroad as a one-time buy if you guys want it ~2 Big Macs' worth Real talk, I'm broke and need cash for my indie anime, mostly VAs & sound Drop a comment!
51
Tobs Systeemcartograaf retweeted
"Some men aren't looking for anything logical, like money. They can't be bought, bullied, reasoned, or negotiated with. Some men just want to watch the world [bloom]."
51
105
16
1,846
138,281
tech-combo: seatbelt pretensioning and haptics, taken to the next level with the seat cassette and attention system.
23
Replying to @esa
@esa “That is not going to work. We need meaningful contributions now. The game has changed. “ the argonaut game: half of the payload capacity of the BM mk1 lunar lander, and far below the cargo capability of larger human-rated landers like Blue Moon Mark 2 or SpaceX’s Starship.
1
113
“It’s a big Moon, with the surface area of Africa,” Isaacman said Wednesday at the Air & Space Forces Association’s Air, Space & Cyber Conference. “The south pole is more akin to Washington, DC, when there are only so many roads and so many good parking spots that you’re going to want to occupy.” chart by: @AnthroFuturism
9
NEVER thought i would hear this from jeff dean he thinks we can compress chip design from 2 years to 3 months with RL + new EDA tooling essentially just by a specialized auto research loop for hardware!
31
your new constellation packaging params spec update.
BREAKING: SpaceX’s new FCC filing reveals that each Starmind orbital AI data center could weigh up to 4,000 kg, roughly twice the ~2,000 kg figure reported for a Starlink V3 satellite. SpaceX is seeking FCC approval for a constellation of up to 1 million Starmind satellites.
1
28
we’re so back @euacchq @euacc
Replying to @paulichon
merci mon pote ! Ca va être ouf pr l'écosystème français avec les 3 founders + bcp bcp de team members qui vont devenir angel investors je suis sûr 🔥🔥🔥
1
89
things you can do below a billion parameters. 0.8B is the new tiny.
Training tiny models for special purpose use cases works so incredibly well if you have a great self improving recursive flywheel. Shopify ML team is on fire. finetuned 0.8b model beats GPT 5.6-sol xhigh in this very specialized task.
45
you can geometrically increase your figures of merit. iteratively compressing intelligence-factors. a new kind of specialization.
Impressive stuff. Note the change over a 1-week timeframe. This still takes a highly skilled and motivated engineering team to do something like this, but the tools are there. I am guessing this category of work will continue to get more approachable to the 'median' engineering team over the next 12 months. I also expect the token cost-pressure for known use-cases 'at scale' will be a forcing function for more companies deciding to figure this stuff out.
36