AI architecture, agents & data transformation for businesses that want results (not hype). Practical frameworks | Real implementations.
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CRAZY: we got a quote for a promo video package from a familiar brand.
£10K for the video +£15K and they hand you 50+ influencers who will push it, repost it, and flood the comments so the views go above 500k.
That’s the exact recipe behind almost every “viral” video.
1/ big announcement today: we will be releasing an open weight version of muse spark 1.2 soon.
we also are releasing muse glimmer, a 30B agentic model with open weights under apache 2.0. muse glimmer can run on 24GB of VRAM without losing agentic reliability. 🧵
Google’s chief scientist Jeff Dean + 3 top researchers just left after decades to found Discovery Loop.
Alphabet’s response? Become a founding investor and supply their compute for the first year.
We asked an unreleased research version of Claude to take a stab at the Riemann hypothesis.
It didn’t solve it, but it did make strides on a related problem: it increased the lower bound for the fraction of zeros of the Riemann zeta function that satisfy the hypothesis from 41.6% to 67.2%.
https://t.co/aZDvqqhHRi
BREACH DETECTED: In Australia's first known autonomous AI cyberattack, an OpenClaw agent used a vulnerability in a gym’s API to leapfrog scheduling restrictions for a gym class, and then forcefully cancelled another person's reservation to move its user up the list, per ABC.
The future of AI security may depend on the thing regulators want to restrict:
Open models.
Hugging Face used an open model to defend against a breach, running privately on their own infra.
Open weights aren’t just a risk. They’re a defence capability.
@ClementDelangue
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The biggest AI opportunity isn’t using better models. It’s making more real-world work verifiable. Whoever builds those evaluation systems will shape the next decade of AI.
Karpathy described the highest-paid skill in #AI engineering, and it is not prompt engineering or mastering the latest model. It’s something far more durable: verifiability.
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That’s a rare skill because it requires technical ability, business understanding and clear thinking. You have to define what “good” actually looks like.