Marc Bailey

Design. Elegance. Software. 42+14. Tech management CxO. These days: Freelance. Before: CEO Intersect, CIO Macquarie University, CTO Objective. Views are my own.

[Marc Bailey @marcpbailey]

Not sure that punchline translates to Oz. Have never met a $50M coder.

[Marc Bailey @marcpbailey]

Singularity is a way off.

[Andrej Karpathy @karpathy]

Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.

[Elon Musk @elonmusk]

The latest 𝕏 algorithm has been published to GitHub
https://t.co/ZCOm51uxmh

[Matthew Berman @MatthewBerman]

i'd watch a whole season of this

[Marc Bailey @marcpbailey]

Should be compulsory viewing for every research office and in https://t.co/tOSw7PeJ78 and https://t.co/nVCGgmEtgC

[Spaceballs The X Account @Grunt2A]

Now that Artemis II has launched we have 10 days to get everyone on Earth a Planet of the Apes costume so we can do something hilarious when the astronauts return 😁

[NASA Administrator Jared Isaacman @NASAAdmin]

I am proud of the NASA team, and we will never stop elevating our game. SpaceX mission streaming is top notch. They have had a few hundred launch opportunities to dial it in. As we improve our launch cadence - I promise we will improve the streaming coverage along with it. In the interim, Artemis II is headed to the Moon.

[Severance HQ @lumonsindustry]

In honor of yesterday’s Artemis II mission launch, here’s a photo of the Artemis II crew dressed up as the characters of Severance for Halloween 2025! 🩵

[Marcus House @MarcusHouse]

Yes... In case anyone was wondering, Microsoft still sucks in space.

[James Garcia Alver @JayAlver]

-93 bytes, one of the best Wikipedia line deletions I’ve ever seen.

[Demis Hassabis @demishassabis]

Cool use case of AlphaFold, this is just the beginning of digital biology!

[Marc Bailey @marcpbailey]

@MikeElgan The Attachment Bureau.

[NASA Administrator Jared Isaacman @NASAAdmin]

Below is the note that I sent to the NASA workforce today as we release the report on the Starliner Crew Flight Test Investigation.

We will achieve success through extreme ownership, immense competence, and decisive action.

[Marc Bailey @marcpbailey]

@docfras

[Arpit Bhayani @arpit_bhayani]

Google just released TimesFM (a Time Series Foundation Model) - a 200M-parameter model that can forecast time-series data it has never seen before, with no additional fine-tuning required.

Time-series forecasting is required everywhere - retail, finance, healthcare, etc. And for the longest time, this was the domain of traditional statistical methods. Then deep learning models came along and did better, but they involved long training and validation cycles before you could even test them on new data.

TimesFM changes this. All we need to do is point it at a new dataset, and it gives you a solid forecast immediately - zero-shot.

The architecture is decoder-only, the same idea as GPT. Instead of words, it works with "patches" - groups of contiguous time-points treated as tokens. The model predicts the next patch from all the ones before it.

The model was pre-trained on 100 billion real-world time-points, mostly from Google Trends and Wikipedia Pageviews - which naturally capture a huge variety of patterns across domains.

On benchmarks, zero-shot TimesFM matches PatchTST and DeepAR that were explicitly trained on those datasets, and even beats GPT-3.5 on forecasting tasks despite being far smaller.

The model is open on HuggingFace and GitHub if you want to try it.

[Eric Schmidt @ericschmidt]

This is really interesting, what happens when the math no longer works due to capital and the models have to differentiate. How will they do it?

[Joanna Stern @JoannaStern]

In the last dozen years, tech has dramatically reshaped our lives. And, somehow, it also reshaped my face.

My final @WSJ video looks back on 12 crazy years of tech and of my tech videos. Seriously, who let me do some of this stuff!?

[Dana Chandler 🇨🇦🖖 @nursedanakay]

Don’t question when your Tesla pulls a quirky move. FSD heard that ambulance siren before I did and got us over. 🚑🔊👍

[Carl Quintanilla @carlquintanilla]

48 hours and the bots are already complaining about us.

“The humans are ruining this place.”

@moltbook

[Marc Bailey @marcpbailey]

⁦@rsvpselling⁩ Source: Ars Technica https://t.co/F3uKnkJSDc