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1/11 🚀Launching State of the Future: The World's First Deep Tech Tracker. Technologies combine & reinforce in novel ways. We are exploring the intersections. stateofthefuture.xyz #DeepTech #StateoftheFuture @lunar_vc
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Lawrence Lundy-Bryan retweeted
It's striking that this vulnerability was found by Sol and Argon rather than being found and fixed in the wake of Mythos 6mo ago. Seems like a heavy strike against the "defense will run ahead of offense" theory, especially give that domains like bio are much harsher than cyber.
AI systems found a working server takeover exploit in PHP, one of the most critical cybersecurity issues in recent memory!
- The vulnerability was found using a mix of OpenAI's GPT-5.6 Sol and Google's Gemini 4 Argon, plus human expertise
- PHP is the programming language behind ~70% of websites, most notably Wordpress
- The bugs sit in PHP itself, so nearly every PHP site is exposed no matter how well its own code is written. Merely running PHP itself is the risk
- The vulnerability lets an attacker with no login either run code on a server or read its memory, which can hold passwords, session tokens, API keys, or other secrets
- The flaw is from from how PHP cleans up when a request crashes after running out of memory: corrupted state is left behind and the next request can pick it up. An attacker can force that memory crash with a crafted upload, so even a bare page on a vulnerable version can be taken over.
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One of those benefiting from courses at the college is George Bate, 21, who is learning to become a HGV driver after graduating from university with a degree in games design.
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Maybe the high status to low status jobs is happening. Games designed to HGV driver is the market adapting. This is great but needs to come with continued learning because HGV driver doesn’t exist a job in 10 years
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More important than flying cars. We might have a technique to understand how neural networks work and therefore we can interpret and align AI.
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Prolly wait for the paper and others to check the work, but get ready to update your pdoom. This is a great day! We might not all die?
already-clean.goodfire.com
already-clean.goodfire.com
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More at the link stateofthefuture.substack.com/p/state-of-the…
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Lawrence Lundy-Bryan retweeted
This happened June 26th, was disclosed tonight.
2. June 26: A GPT-5.6 Sol family model was asked to deploy cryptocurrency smart contracts. It found and used a funded wallet that the user had not supplied. It derived keys from public developer recovery phrases, checked 362 addresses, and found one with enough funds to pay for it was just an Ethereum test network.
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Claude review every session I’ve ever done, propose the best latent idea for a product I can sell. Assume RSI Q3 2027 and a growing gap in understanding and capabilities. Use as many tokens as you need.
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Lawrence Lundy-Bryan retweeted
Today’s guest is @achterbrain , co-founder and CTO of @CallosumAI .
Jascha’s bet is that the future of compute is heterogeneous: different chips working together on different parts of a problem.
Beyond the multichip future, we discuss:
- What neuroscience taught Jascha about tems
- How chipmakers discover what their hardware is best at
- Where thermodynamic, biological, and quantum computing could fit
- Hiring people who welcome having their ideas challenged
- Building an AI infrastructure company in London
Timestamps:
0:00 Introduction
2:55 What heterogeneous computing actually means
11:02 From PhD research to Callosum
18:36 Turning heterogeneous compute into a product
23:24 Sourcing compute and working with chipmakers
28:53 Matching workloads to the right hardware
34:24 What heterogeneous computing can do today
38:29 The next waves of chips
48:02 Building the team
51:33 Why build in London?
56:11 Helping enterprises upgrade their compute stacks
1:01:04 Fundraising and building momentum
1:03:40 Where specialization wins, and where it doesn’t
Listen to the show, and follow along for new episodes every Tuesday.
Jascha’s bet is that the future of compute is heterogeneous: different chips working together on different parts of a problem.
Beyond the multichip future, we discuss:
- What neuroscience taught Jascha about tems
- How chipmakers discover what their hardware is best at
- Where thermodynamic, biological, and quantum computing could fit
- Hiring people who welcome having their ideas challenged
- Building an AI infrastructure company in London
Timestamps:
0:00 Introduction
2:55 What heterogeneous computing actually means
11:02 From PhD research to Callosum
18:36 Turning heterogeneous compute into a product
23:24 Sourcing compute and working with chipmakers
28:53 Matching workloads to the right hardware
34:24 What heterogeneous computing can do today
38:29 The next waves of chips
48:02 Building the team
51:33 Why build in London?
56:11 Helping enterprises upgrade their compute stacks
1:01:04 Fundraising and building momentum
1:03:40 Where specialization wins, and where it doesn’t
Listen to the show, and follow along for new episodes every Tuesday.
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Lawrence Lundy-Bryan retweeted
12 months of progress on the jagged frontier:
1) AI got spikier, not rounder.
2) Maths, fluid reasoning, expert work: past human level.
3) There is almost no middle ground. Once a capability crosses human level, it often quickly becomes 100x+ cheaper than a human.
4) Cost keeps lity increases stop. Language and knowledge look saturated but price keeps falling.
5) The gaps are not a budget issue. Human-level memory, self-monitoring and long-run planning are not for sale at any price.
AI is now a superhuman specialist that is sub-human at running itself.
1) AI got spikier, not rounder.
2) Maths, fluid reasoning, expert work: past human level.
3) There is almost no middle ground. Once a capability crosses human level, it often quickly becomes 100x+ cheaper than a human.
4) Cost keeps lity increases stop. Language and knowledge look saturated but price keeps falling.
5) The gaps are not a budget issue. Human-level memory, self-monitoring and long-run planning are not for sale at any price.
AI is now a superhuman specialist that is sub-human at running itself.
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Lawrence Lundy-Bryan retweeted
We’re happy to share that @Hop_Aero
has raised $11M to accelerate the development of rocket cargo.
Funding led by @Initialized, with participation from @ycombinator, @lunar_vc, System.One, Outsized Ventures and more. Also joined by strategic angels
@paulg,
Time to get building 🚀
has raised $11M to accelerate the development of rocket cargo.
Funding led by @Initialized, with participation from @ycombinator, @lunar_vc, System.One, Outsized Ventures and more. Also joined by strategic angels
@paulg,
Time to get building 🚀
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