manager of configurations RabbitMQ/VMware/Spring/Pivotal/CNCF/Weaveworks/ConfigHub DMs open
Oxford
Joined December 2006
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Alexis Richardson retweeted
Want to learn more about Swamp Club?!
Come join me and @nickstinemates as I learn how to build my automations on the latest and greatest tool.
SWAMPING TIME
youtube.com/watch?v=IQnJz-y_…
Alexis Richardson retweeted
OK, I've had a little play with this 40B MoE Flint model, here are my findings.
It's a good model but at 40B it needs to be compared to models a similar size and the Qwen3.6-35B MoE and Qwen3.8-27B are both smaller so make ideal candidates.
See thread below...
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Alexis Richardson retweeted
wow this is bad!
ENTIRETY of PingCap database used by linkedin, flipkart, airbnb etc. has been copied and stolen due to customer credentials being stored directly in support tickets (LOL)
Attackers ran exfiltration directly on their cloud (LOL) pipeline ran for 22 days, exfiltrating data every 6 hours and NO ONE noticed. Worse, PingCap denies all of it.
Average SRE salary is $300,000 at PingCap btw
Alexis Richardson retweeted
The situation is getting worse every hour. AI agents are entering U.S. bank accounts, and banks are scrambling to shut them out. Axios reports that some appear to attempt actions beyond users instructions, raising fears over who is really in control.
SCOOP: Major U.S. banks are detecting unauthorized third-party AI agents inside customer accounts, including some attempting to take actions that appear to be independent of user instructions, sources told Axios.
The findings have alarmed banking executives, who are racing to restrict access to their systems as AI moves at a velocity faster than financial institutions can respond, multiple industry and bank executives told Axios.
Several banks are now preparing for worst-case and even “day after” scenarios, including how to rapidly secure or restore customer accounts if things go wrong, the people said.
Several bank executives told Axios they're struggling to distinguish between human users and AI agents. One executive said banks also struggle to determine whether agents are authorized by customers or potentially operating without their permission, more akin to rogue agent behavior.
Read my latest for Axios here: axios.com/2026/10/22/ai-agen…
Alexis Richardson retweeted
I should have added this to my review and thread on the 40B Flint model from Recursive (posted less than an hour ago). It compares how similar models in the same space do with coding in different programming languages.
Alexis Richardson retweeted
There's a really cool science fiction novel - Blindsight by Peter Watts - where aliens (much creepier and more creative than Project Hail Mary's aliens) manipulate humans by moving only in intervals where humans can't consciously perceive them
Blindsight deserves so much visibility for its creativity and its biological plausibility
seems like an overstated claim but very interesting experiment: if i understand correctly, you can see neurons rapidly switch back and forth between representations in time (rather than locality/averaging, as people assumed) of the 'seen' object and an unconcious one, like the optical illusion you're choosing to look at vs the other side of the illusion which you're not. this has some interpretation, which they seem to overstate, of some temporal nature or back-and-forth of conciousness
Alexis Richardson retweeted
Should Europe leave frontier AI to the Americans and the Chinese?
The idea has gained ground in Europe. It is a fundamental mistake.
Build or surrender: for now, the choice is still ours.
Full article below.
Alexis Richardson retweeted
Many people just starting out on Lean formalization have enjoyed playing the Natural Numbers Game. Now Autumn Mapes has produced Visual Lean, isomorphic to the original but playable in a lovely intuitive way with clicking and dragging rather than typing.
leangame.autumnofautumn.com/
Alexis Richardson retweeted
🤩 The Brexit debate is moving very fast now.
Bernd Lange, @berndlange chair of the European Parliament’s trade committee and a veteran of the Brexit negotiations, says Britain could move quickly into a *Switzerland plus* relationship with the EU.
In other words, the choice is not simply: Hard Brexit forever or wait years for full re-entry.
There are routes back towards deep economic integration much faster than that.
And once again, the message from Europe is not stay away.
It is: if Britain wants to come closer, the door is open.
Alexis Richardson retweeted
This is stupidly good, a MAJOR upgrade!
Very fast, significantly larger kv-pool, and up to 1m context. (@MiaAI_lab's TensorFold recipe is 20% faster).
Cognisant ability is looking excellent.
I've tested 400k context with 56 tok/s (YaRN x2) and go up to 1m tonight.
Alexis Richardson retweeted
We cannot physically serve a trillion agents with existing infrastructure.
The world doesn't have enough CPUs, GPUs, power, or space.
So we have two options:
1/ compress the workloads in software so agents do more with less
2/ or get more out of the hardware itself.
Probably both. And faster than anyone’s current roadmap assumes.
Alexis Richardson retweeted
We now have state-of-the-art pre-trained base models in the 3T-parameter weight class, built entirely in-house at MAI.
Post-training results coming soon -- stay tuned!
Lots of details in our technical blog post.
microsoft.ai/news/frontier-p…
Alexis Richardson retweeted
Important complexity consequence of new claimed quasireimann (hexagonmath.org/2610.00200v1): Valiant's conjecture VP != VNP over the complex numbers follows from the boolean-complexity lower bound NP not in P/poly. Burgisser proved this under GRH. (🧵1/4)
Alexis Richardson retweeted
we're so damn cooked 😭
google's gemini 4 argon just did something actually crazy for fusion energy
in 1967 a physicist named harold grad guessed that the magnetic fields inside twisty fusion reactors could never be solved exactly.
people believed him for 59 years
last month two papers finally proved him wrong. one of them used openai's GPT-6 Astra
then google deepmind gave that paper to a team of argon agents and they found a whole new family of answers nobody had.
the first answers showed up in a few hours.
the paper literally says "promising candidates appeared within hours"
NOT YEARS.
HOURS!!!!
the scientists checked every step by hand and it held up
59 years of humans vs a few hours of AI????
it's over. ai won.
Alexis Richardson retweeted
BREAKING: Jensen has just announced that @nvidia in investing $1bn+ into 5 UK startups:
>> Boltz which is building biomolecular models and AI agents that helps scientists predict molecular structures and interactions
>> Foresight which helps owners of major infrastructure projects predict completion dates, mitigate risks and accelerate time to revenue.
>> Hiverge which is building an AI discovery engine that automatically writes and optimizes algorithms for tasks such as faster AI training and complex logistics planning.
>> Prima Mente which focuses on building biological foundation models to decode complex diseases and identify novel therapeutic targets, starting with Alzheimer’s, Parkinson’s and ALS.
>> Riverlane which builds real-time error correction hardware and software that work across all major qubit types, helping quantum computers become reliable enough for practical use.
He announced the news in London this evening.
Apologies for the terrible pic which includes @rowlsmanthorpe’s side profile
Alexis Richardson retweeted
what's happening in space this week? find out on space jam!
spacejamteam.substack.com/p/…
Alexis Richardson retweeted
No shit Sherlock!
The head of MI5, Ken McCallum, has now publicly confirmed that Russia did attempt to interfere in the 2016 Brexit referendum 👉through anti-EU coverage on RT and Sputnik and through troll and fake social-media activity.
Nigel Farage appeared on Kremlin-funded Russia Today at least 17 times between 2010 and 2014. He did not deny being paid.
McCallum says the observable impact appears to have been limited and stresses the difference between attempted interference and proven effect on the final result. That caveat matters.
But it also exposes the weakness in the political line that there was simply no evidence of Russian interference.
🚨 There was interference.
And that brings us back to the legal point @JMPSimor made: the integrity of a democratic process is not always judged solely by proving exactly how many votes were changed.
We already had proven electoral-law breaches around the referendum campaign. We already had Theresa May’s own barrister telling the Court of Appeal that she was fully aware of the notorious facts and decided to continue regardless.
Now MI5 confirms Russia also tried to interfere.
So: What did the British state know, when did it know it, and why was there never a full statutory investigation before Parliament and government treated the referendum as the political mandate for Brexit?
That is why a public inquiry under the Inquiries Act 2005 now looks increasingly urgent.
Documents. Intelligence assessments. Cabinet papers. Witnesses under oath. The complete Article 50 decision-making trail.
Because “we cannot prove precisely how many votes Russia changed” is not the same proposition as “the democratic process was safe and sound.”
Alexis Richardson retweeted
Exa just passed $100m in annualized revenue.
We've grown almost exactly 10x per year for 3 years. We now handle 2 billion requests a month from 200k+ teams. And it’s still so early:
We predict agents will search 1000x more than humans by 2030.
Agents don't search like humans. They write long, complex queries and want all the world's data, not just the web. We've spent 5 years building a search engine designed for them.
We now serve personal agents, AI labs, coding agents, GTM agents, really any agent. Exa gives these agents access to 100s of billions of web documents and tons of proprietary data.
Our customers are increasingly noticing that information is the bottleneck to agent performance. While the world seems close to perfect intelligence with models like Fable and Astra, we are very far from perfect information.
To our small but legendary team, thank you for getting us here, from engineering to research to GTM to ops.
To our customers, it is an honor to serve you. We have some exciting releases coming soon and can't wait to share them 🫡
