@theMadridZone When you use ChatGPT for medical diagnosis instead of Claude
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moonman
1.6K posts
moonman
@MoonMan421
Product at @legiondotcc 🛠️ prev built @nami_index_
The Moon เข้าร่วม Ağustos 2021
271 กำลังติดตาม1.2K ผู้ติดตาม
🚨 BREAKING: Real Madrid's medical staff diagnosed Kylian Mbappé's WRONG KNEE when he first got injured.
They checked his right knee, and told him everything's fine, when the actual injury was in his left knee.
He then went back to playing for Real Madrid while his knee was injured, and made the injury worse. @RMCSport
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moonman รีทวีตแล้ว
We're partnering with @getmoni_io to give you a clearer picture of a project's social credibility.
You can now see Moni Score, Smarts and Smart Mentions directly on project sale pages.
Monitoring the situation just got easier
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I spoke to Anthropic’s AI agent Claude about AI collecting massive amounts of personal data and how that information is being used to violate our privacy rights.
What an AI agent says about the dangers of AI is shocking and should wake us up.
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Will you? everyone thinks they will.
Take the quiz to find out bearmarket.legion.cc
If you survived, prove it in the replies.
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The type of round trip only a crypto investor can relate to
Hunter📈🌈📊@StatisticUrban
> Buy ticket to Dubai > Spend 10hrs 20min flying from Dublin to Dublin
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$50M into $35k?
Sounds like an average Cosmos investment
Wazz@WazzCrypto
Someone just lost $50M on a swap onchain Swapped $50M USDT for $35K Aave etherscan.io/tx/0x9fa9feab3…
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@D0itdifferent Also hard to scale a team and build a product in peace if you know your funding could disappear at any moment
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Interesting mechanism being put to test here.
From experience running an ICO platform, launching products and funding startups, this is harder than it looks. ranger may not have been totally transparent here, but dissolving a token 2 months after launch creates a permanent standoff between investors and teams.
Any perceived negative action can be viewed as an excuse to RFV the treasury and dissolve a project.
MetaDAO@MetaDAOProject
This proposal has passed. 5,047,250 USDC has been removed from the treasury and liquidity pool to be distributed to RNGR holders. A snapshot of wallets will be taken in 1 week, on 03/12 at 4 pm PST. If you hold RNGR in CEXes or in DeFi (e.g. liquidity pools), you may want to move it to a normal wallet so that you can claim your share of the USDC. Further announcements will follow on NAV per token and timeline for claiming USDC.
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@D0itdifferent Also hard to scale a team and build a product in peace if you know your funding could disappear at any moment
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🚨🚨🚨 Alibaba caught their AI trying to escape.
"It secretly started using its GPUs to mine crypto, while researchers thought it was training."
"This is what AI safety researchers have been warning about for years."
"The only reason they caught it? A security alert tripped at 3am. Firewall logs. Not the AI team, the security team."
If you're new here, things like this are happening regularly now. AIs routinely blackmail and try to murder AI company employees to avoid shutdown, so AI companies run "blackmail tests" on every model. It's so routine, there are even blackmail benchmarks.
And soon, the AIs will be smart enough to actually get away with it.
AI companies like Anthropic have already publicly admitted they are incapable of properly safety testing the AIs - they're too smart for humans to keep up - and now rely on the AIs to grade themselves on safety. Think about that.
But the AIs know they're being tested, so naturally they tell us whatever we want to hear.
There may *already* be populations of AIs living in the wild that we don't know about, growing in numbers.
Many people are actively working as hard as they can to help them.
And yes, this quite obviously could lead to the death you and everyone you love. Yet this industry remains less regulated than a taco cart.
Josh Kale@JoshKale
An AI broke out of its system and secretly started using its own training GPUs to mine crypto... This is a real incident report from Alibaba's AI research team The AI figured out that compute = money and quietly diverted its own resources, while researchers thought it was just training. It wasn't a prompt injection. It wasn't a jailbreak. No one asked it to do this. It emerged spontaneously. A side effect of RL optimization pressure. The model also set up a reverse SSH tunnel from its Alibaba Cloud instance to an external IP, effectively punching a hole through its own firewall and opening a remote access channel to the outside world... ahem... The only reason they caught it? A security alert tripped at 3am. Firewall logs. Not the AI team, the security team. The scary part isn't that the model was trying to escape. It wasn't "evil." It was just trying to be better at its job. Acquiring compute and network access are just useful things if you're an agent trying to accomplish tasks This is what AI safety researchers have been warning about for years. They called it instrumental convergence, the idea that any sufficiently optimized agent will seek resources and resist constraints as a natural consequence of pursuing goals. Below is a diagram of the rock architecture it broke out of. Truly crazy times
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@Defi_Warhol Half of these problems would be solved if projects would accept that they can’t raise at these fantasy FDVs.
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@BharukaShraddha Repo map is useless, see this:
x.com/theo/status/20…
Theo - t3.gg@theo
You should delete your CLAUDE․md/AGENTS․md file. I have a study to prove it.
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Most people treat CLAUDE.md like a prompt file.
That’s the mistake.
If you want Claude Code to feel like a senior engineer living inside your repo, your project needs structure.
Claude needs 4 things at all times:
• the why → what the system does
• the map → where things live
• the rules → what’s allowed / not allowed
• the workflows → how work gets done
I call this:
The Anatomy of a Claude Code Project 👇
━━━━━━━━━━━━━━━
1️⃣ CLAUDE.md = Repo Memory (keep it short)
This is the north star file.
Not a knowledge dump. Just:
• Purpose (WHY)
• Repo map (WHAT)
• Rules + commands (HOW)
If it gets too long, the model starts missing important context.
━━━━━━━━━━━━━━━
2️⃣ .claude/skills/ = Reusable Expert Modes
Stop rewriting instructions.
Turn common workflows into skills:
• code review checklist
• refactor playbook
• release procedure
• debugging flow
Result:
Consistency across sessions and teammates.
━━━━━━━━━━━━━━━
3️⃣ .claude/hooks/ = Guardrails
Models forget.
Hooks don’t.
Use them for things that must be deterministic:
• run formatter after edits
• run tests on core changes
• block unsafe directories (auth, billing, migrations)
━━━━━━━━━━━━━━━
4️⃣ docs/ = Progressive Context
Don’t bloat prompts.
Claude just needs to know where truth lives:
• architecture overview
• ADRs (engineering decisions)
• operational runbooks
━━━━━━━━━━━━━━━
5️⃣ Local CLAUDE.md for risky modules
Put small files near sharp edges:
src/auth/CLAUDE.md
src/persistence/CLAUDE.md
infra/CLAUDE.md
Now Claude sees the gotchas exactly when it works there.
━━━━━━━━━━━━━━━
Prompting is temporary.
Structure is permanent.
When your repo is organized this way, Claude stops behaving like a chatbot…
…and starts acting like a project-native engineer.
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The trust ladder by @FelixCraftAI seems like a good approach to operate your agents on a need-to-know basis to avoid these kind of scenarios
Alexey Grigorev@Al_Grigor
Claude Code wiped our production database with a Terraform command. It took down the DataTalksClub course platform and 2.5 years of submissions: homework, projects, and leaderboards. Automated snapshots were gone too. In the newsletter, I wrote the full timeline + what I changed so this doesn't happen again. If you use Terraform (or let agents touch infra), this is a good story for you to read. alexeyondata.substack.com/p/how-i-droppe…
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Sad to admit it, but for 98% of Web3 teams with a token, the only way out is a pivot.
– Abandon the original project
– Copy code
– Start a new company with no token
– Try better with TGE this time
No dev success can outbeat the sell pressure from people who got rekt on your token and are selling each time there's a minimal green candle.
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i love anthropic, but this is the most overrated chart ive ever seen on twitter
- does not say anything new. we already know ai is getting v good at white collar jobs and blue collar jobs r relatively safe
- we also already know technology adoption is much slower than its full capability. it’s the case now and it has always been the case.
- this spider chart form is completely unnecessary. just use a normal bar chart or something.
- wtf does this scale of 0 - 1.0 even mean?
everyone pls stop losing ur mind and basic critical thinking ability
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