Sam Watts

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Sam Watts

Sam Watts

@SamuelDWatts

Product @LakeraAI. AI safety, tech, data, maths, money, trivia. Not necessarily in that order.

London, UK Katılım Haziran 2009
1.2K Takip Edilen503 Takipçiler
Sam Watts
Sam Watts@SamuelDWatts·
We've launched our new AI hacking game, Gandalf: Agent Breaker! Based on real hacks we've seen in the wild & discovered by our Red team we created 10 GenAI apps for your hacking pleasure. Learn the vulnerabilities of LLM apps and the crazy s**t you can get them to do
Lakera AI@LakeraAI

🧠 Think you can break an AI? Gandalf: Agent Breaker is live. Real-world GenAI fails—phishing, tool abuse, more. 🧩 Outsmart the AI. Start 👉 lnkd.in/dHuQDYdN

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Sam Watts retweetledi
Sam Watts retweetledi
FAR.AI
FAR.AI@farairesearch·
"All untrusted third-party data is now executable malware.” @SamuelDWatts of @LakeraAI discusses the challenges of securing LLM deployments against vulnerabilities like prompt injections and jailbreaks, especially in an evolving threat landscape.
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Sam Watts
Sam Watts@SamuelDWatts·
@lancinimarco @anton_chuvakin Love seeing Lakera protecting real-world AI products like this! The shift from static to interactive content is brilliant - will be essential that it's done securely from day one
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Marco Lancini
Marco Lancini@lancinimarco·
@anton_chuvakin Indeed! I'm glad I've integrated some good security guardrails before releasing it 🤞
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Ross Taylor
Ross Taylor@rosstaylor90·
The takeaway? The bitter lesson is more deadly than we thought. Not only are there first-order advantages from more compute - a better initial model - but second-order advantages from the insights of working at a larger scale. Many groups working with inferior base models had to embed far more structure to enable good reasoning. But with better models, far less structure is required and simple baselines with the right objective just work. Compute inequalities are only likely to accelerate going forward - which shows the imperative of having a strong open source ecosystem so more people can contribute meaningfully to AI progress (especially in academia).
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Ross Taylor
Ross Taylor@rosstaylor90·
More evidence for the base model hypothesis: RL more effective with a better base model. This is important as it shows why similar efforts a few years ago didn’t reach escape velocity. “If I have seen further it is only by standing on the shoulders of a better base model”.
Ai2@allen_ai

Benchmarking Tülu 3. Interesting finding: Reinforcement Learning from Verifiable Rewards (RLVR) framework improved the MATH performance more significantly at a larger scale, i.e. 405B compared to 70B and 8B, similar to the findings in the DeepSeek-R1 report.

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Sam Watts
Sam Watts@SamuelDWatts·
Hypothesis: the friction point for AI to be useful is data interfaces. For intelligence to be effective it needs lots of context, like onboarding a new employee. My main constraint in using AI in my work is the reformatting effort getting info into and out of Claude
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Sam Watts
Sam Watts@SamuelDWatts·
With all the furore around DeepSeek's new R1 model it's worth mentioning that it's still vulnerable to same classic prompt attacks as the other leading models. Jailbreaks and prompt injections aren't going away
Sam Watts tweet media
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Sam Watts
Sam Watts@SamuelDWatts·
I can finally tell my parents I'm a coauthor on an academic paper! Security & usability are deeply connected in LLM apps as hackers adapt their attacks when probing AI systems. Incorporating data from Gandalf we've set out a new framework for AI security. Link in thread below
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Alex Cohen
Alex Cohen@alexwcohen·
Each year, GiveWell makes hundreds of millions of dollars in grants aimed at saving and improving lives globally. My team's job is to look for ways we could be wrong and make our research better. Here's what we've been up to and what's next 🧵
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Sam Watts
Sam Watts@SamuelDWatts·
@alexwcohen What's your stance on exploring the option space vs improving existing research? It looks like most of your focus is on existing ideas but naively and uninformedly I assume there's likely more impact from trying to find even higher impact opportunities
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Alex Cohen
Alex Cohen@alexwcohen·
Have more ideas on questions we should be asking or assumptions we should pressure test? Let me know!
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Sam Watts
Sam Watts@SamuelDWatts·
AI is rapidly evolving from tools we control to autonomous agents. What does this mean for security? Working with @Twilio, we explored how the democratisation of AI means anyone with a well-crafted prompt can now be a hacker. By 2035, these risks only grow. Blog link below
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Sam Watts
Sam Watts@SamuelDWatts·
@alexalbert__ Easier writing doc workflow between artifacts & external docs. I have to ask Claude to produce the whole doc we're working on, which it might make changes as it does, & then do a bunch of annoying format stuff to get it cleanly into Google docs & vice versa pasting in from a doc
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Alex Albert
Alex Albert@alexalbert__·
Very excited for what's already in store for next year but there's always more we can do What would you like to see Anthropic build/fix in 2025?
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Sam Watts
Sam Watts@SamuelDWatts·
This is a recurring theme of my career. Solving the deep hard technical problem takes less than 10% of the total effort. Connecting with other systems, dealing with data formatting/quality, project planning, and making it useful for users etc. are all more difficult in practice
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Sam Watts
Sam Watts@SamuelDWatts·
Told my gf about the o3 model launch and shortened AGI timelines and she said "that's cool but can it do my PowerPoint for me yet?". It's just an engineering challenge but it's notable that it's proving easier to solve world class maths problems than build useful model interfaces
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Sam Watts
Sam Watts@SamuelDWatts·
@jasoncrawford I agree. We will still clearly value art where every word, note or dot is made by hand. But it's way easier and quicker for me to write a song using modern tech and if I use it well it's still art. I don't see how GenAI is fundamentally different
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Jason Crawford
Jason Crawford@jasoncrawford·
Those who have spent time investing in craft will feel that their skills are devalued. I'm sorry for them (and I'm worried about it for myself!) but it's the inevitable price paid to grant those much greater benefits to the rest of the world.
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Jason Crawford
Jason Crawford@jasoncrawford·
If you want to watch sport, you don't give people mopeds. But if you want people to get somewhere, you absolutely give them mopeds, and cars, and supersonic jets. Is art a spectator sport? Or is it a product that is valuable to individuals and to society?
Jingna Zhang@zemotion

Sat with Ted Chiang at @NeurIPSConf lunch ytd & someone in AI brought up democratizing art-making. It was a candid chat so I was like, hey, can I just say something?—I really hate the word "democratize" used this way. Just say "automating art-making." It’s more accurate. 1/

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