Twitxy Saved

lata

Verified account This account is verified. Learn more

@LataPersson

investing @fabric_vc | cooking r3sidency.xyz | governance @she256
London, UK Joined July 2020
978 Following 1.9K Followers 597 Posts

Latest posts 5

Pinned post

lata Verified account @LataPersson
one of the reasons we launched r3sidency[dot]xyz 's first cohort in London

londonmaxxing
Tarique Sha Verified account @tariquesha1 May 19
One University has produced more billion dollar AI companies in the last 18 months than the entire rest of Europe combined.

Its University College London.

In the last two years alone,four UCL founded companies have either been valued above $1 billion or sold for $1 billion+:

Google DeepMind >founded in 2010 by @demishassabis (UCL PhD Neuroscience), Shane Legg (UCL PhD AI) and Mustafa Suleyman. Acquired by Google for $500 million in 2014,now the world's leading AI research lab.

Faculty> founded in 2014 by UCL graduates Marc Warner (PhD Physics), Angie Ma (PhD Physics) and Andy Brookes. Acquired by Accenture in January 2026 for a reported $1 billion. The largest takeover of a privately held British AI startup in history.

Synthesia> co founded by UCL Professor @LourdesAgapito (computer science) with three collaborators,now valued at $4 billion.

Ineffable Intelligence> founded in late 2025 by UCL Professor David Silver, raised $1.1 billion in seed funding at a $5.1 billion valuation in April 2026 , the largest seed round in European history. .
Thats four UCL rooted companies. Combined value: more than $11 billion.

Tim Rocktäschel @_rockt , another UCL professor with DeepMind history raised over $500 million for @Recursive_SI at a $4 billion pre money valuation.

UCL has produced over 400 student startups in the last five years, raising more than £355 million and employing more than 1,900 people.
View quoted post on X
7 replies 6 reposts 117 likes 35K views View on X
lata Verified account @LataPersson
these guys used AI and a proof checker to find loopholes in the US tax code

they’ve also put the law of every country into one git history

slowly…
Lexifina Verified account @lexifinadotcom 4d
We formalised the entire US tax code in Lean.

59,058 provisions and 36,763 cross-references were used to identify 138 drafting faults, each traced to the law that introduced it.

A blind search over tax allocation found existing loopholes and two new ones. Full writeup below.
View quoted post on X
lata Verified account @LataPersson
imperial robotics strikes again
Edward Johns @ CoRL 2026 Verified account @Ed__Johns Oct 27
Today we’re out of stealth, and we’ve raised a $40m seed round co-led by @creandum and @usv, to bring Instant Robot Learning to life.

For the past few months, we‘ve been busy building a new company.

Machenta.

This follows results from a new kind of robot foundation model we’ve built, which I’m so excited to share with you today!

Usually, it takes hours/days of data collection and training to teach a robot.

We’ve built a model that learns tasks instantly: one demonstration, no further training.

A model trained entirely in simulation, without a single pixel of real-world data.

A model where teaching robots is so quick and easy, it feels like physical vibe coding.

A model for robots that learn like humans do, from someone like you.

Welcome to the era of Instant Robot Learning.

Thank you @Kathi_Wilhelm, @rebeccakaden, @hkanji, @jonno_evans and all of our angels for your support!

@Machenta_

Learn more: machenta.com/blog/instant-r…

See below for what you can do with Instant Robot Learning!
View quoted post on X
lata Verified account @LataPersson
the “drop-out” founder archetype dominated vc and popular culture over the last decade

now it’s time for a new era: the researcher-founder and a return to OG roots of VC
Thomas Crow Verified account @windychester1 Oct 23
Researcher-founders are making a comeback

Fewer than 10% of companies first raising a $100m+ private round in 2014 had a researcher founder. In 2026 it’s roughly 40%.

What’s changed?
View quoted post on X
lata Verified account @LataPersson
super interesting counter evidence to the consumer narrative that more personalisation = better AI experience

an agent was asked to pick the cheapest flight after being given more personal context on the user + it picked a $601 flight over a $91 one!
Niloofar Verified account @niloofar_mire Sep 23
New paper: Et Tu, Brute? Economic Misalignment in Personal AI Agents

We gave AI agents personal context to help them make better recommendations.

In one example, the agent picked a $601 flight over a $91 one, when asked to find the cheapest one, after reading irrelevant financial emails.

Why does this happen? 🧵
View quoted post on X