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Most vector search slows down as you scale from millions to billions to trillions of vectors - latency creeps up.
Native vector search in Amazon DynamoDB is different: single-digit ms latency with 99%+ recall, at any scale.
Now GA. https://t.co/PGgXMfhOYD
Jensen Huang, CEO of Nvidia:
"OpenClaw is probably the single most important release of software, probably ever."
two types of builders right now.
type 1: calls it slop. copy-pastes prompts into one chat window. calls that an agent.
type 2: wires openclaw and hermes into a loop that ships while they sleep and ships 100x what type 1 ever will.
type 1 got replaced. this article is for type 2.
save it before it disappears from the feed.
LLMs are “ good at math style problems, where you tell them A, B and C are true, and then ask them to figure out D [but]
extremely bad at anything involving what I would call mature scholarship .. [something] like naive undergrads” -@kareem_carr
"Could AI ever be conscious?" is a distraction from the here and now. We're on the brink of Seemingly Conscious AI and that illusion will only escalate delusions and dependence. We need to build AI to better human lives, not to cosplay living its own. https://t.co/LOB2kavyne
What I call Seemingly Conscious AI has been keeping me up at night - so let's talk about it. What it is, why I'm worried, why it matters, and why thinking about this can lead to a better vision for AI. One thing is clear: doing nothing isn't an option. 1/
Goodbye Photoshop
It's only been 2 days since Google dropped Gemini Flash Experimental, and people are going crazy over it.
13 wild examples so far (Don't miss the 5th one)
Here's a rundown of my favorite books of 2024. Links at the end of the thread.
I start with my favorite book of the year by far:
A Brief History of Intelligence.
It's an exquisite masterclass in writing and research. At one point I realized I'd highlighted nearly every page. By the end I'd made a big list from the bibliography to follow up on dozens of threads from its pages.
I love books by authors who become positively obsessed with an idea and follow it with the single minded focus of a maniac. That's what happened with author Max Bennett who traces the evolution of our minds from simple clusters of neurons to complex thinking wetware, all while tying it into our all-out quest to create artificial thinking machines.
The result is a hauntingly beautiful masterpiece filled with deep insights into how our brains came to be.
This is Dario Amodei.
He's the CEO behind Claude, one of the world's most advanced AIs.
Yesterday, in a 5.5 hour conversation with @lexfridman, he revealed our timeline to superintelligence.
Let me save you 5 hours: 🧵
In my career as a CTO, I found that a key skill of great Software Engineers is to ask good questions:
- "What if the API returns that error code?"
- "What if the user clicks that footer button?"
- "Why did you add this line of code?"
If I'm not asked questions in an interview, it's a red flag.
Explaining 9 types of API testing.
🔹 Smoke Testing
This is done after API development is complete. Simply validate if the APIs are working and nothing breaks.
🔹 Functional Testing
This creates a test plan based on the functional requirements and compares the results with the expected results.
🔹 Integration Testing
This test combines several API calls to perform end-to-end tests. The intra-service communications and data transmissions are tested.
🔹 Regression Testing
This test ensures that bug fixes or new features shouldn’t break the existing behaviors of APIs.
🔹 Load Testing
This tests applications’ performance by simulating different loads. Then we can calculate the capacity of the application.
🔹 Stress Testing
We deliberately create high loads to the APIs and test if the APIs are able to function normally.
🔹 Security Testing
This tests the APIs against all possible external threats.
🔹 UI Testing
This tests the UI interactions with the APIs to make sure the data can be displayed properly.
🔹 Fuzz Testing
This injects invalid or unexpected input data into the API and tries to crash the API. In this way, it identifies the API vulnerabilities.
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Google’s long-term investment in AI-related research led to the creation of powerful foundation models, which have become the core of the new product and services. Here's a closer look at Google’s #generativeAI strategy. https://t.co/2wPQCk0Wjk
#AI#MachineLearning
A humanoid robot named Ameca, developed by UK-based Engineered Arts, imagines a "nightmare" scenario for humanity using an advanced form of generative AI, enabling Ameca to reply in a human-like manner when asked a question. https://t.co/L7lC1tZyGd
Elon Musk, Steve Wozniak and 1,121 tech experts just signed an open letter to pause the training of AI models more powerful than GPT-4.
They warn this could "represent a profound change in the history of life on Earth."
Here's what I found out: