Do It by Code
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We uhhhhh... do things by coding them.
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jules.google

An Asynchronous Coding Agent.
Jules fetches your repository, clones it to a Cloud VM, and develops a plan utilizing the latest Gemini 2.5 Pro model.
Do It by Code
jules.google An Asynchronous Coding Agent. Jules fetches your repository, clones it to a Cloud VM, and develops a plan utilizing the latest Gemini 2.5 Pro model.
looks like people are flooding it kek

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⚪️ Showing the simultaneous translation capability of Android XR with Persian language

🔸 To showcase the real-time translation feature of Android XR, Google translated Persian into English at the I/O 2025 event.

#GoogleIO
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NO WAY. It did it. And, was that, actually funny?

Prompt:
a man doing stand up comedy in a small venue tells a joke (include the joke in the dialogue) https://t.co/LrCiVAp1Bl


【QRT of fofr (@fofrAI):】

sauce
#veo
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Here's that Veo 3 dialogue video, where Veo natively added the spoken words into the scene.

Prompt:
A medium shot frames an old sailor, his knitted blue sailor hat casting a shadow over his eyes, a thick grey beard o…


Sauce
#veo
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Uhhh... I don't think Veo 3 is supposed to be generating Fortnite gameplay

sauce
#veo
another one here
microsoft/edit

A simple editor for simple needs, written in Rust.

This editor pays homage to the classic MS-DOS Editor, but with a modern interface and input controls similar to VS Code. The goal is to provide an accessible editor that even users largely unfamiliar with terminals can easily use.


#editor #rust
Looks like claude 4 is going to be released

https://x.com/btibor91/status/1925084250107478506
Claude jumpscare
Is pd.NA same as np.NAN?

So I just noticed this:

import pandas as pd
import numpy as np

pd.isna(np.NAN) # True
pd.isna(pd.NA) # True


However, I just found out pd.NA is still experimental (yes, it has been experimental since release 1.0):
Experimental: the behaviour of NA can still change without warning.


and it seems like it's not totally recommended to use it instead of np.NAN everywhere.

so, what's the true purpose of pd.NA if we already have np.NAN?
according to docs:
Starting from pandas 1.0, an experimental NA value (singleton) is available to represent scalar missing values. The goal of NA is provide a “missing” indicator that can be used consistently across data types (instead of np.nan, None or pd.NaT depending on the data type).


Purposes:

- pd.NA: Pandas-specific missing value marker for its nullable dtypes
- np.nan: NumPy's floating-point "Not a Number" value (IEEE 754)

Compatibility:
- pd.NA: Works across multiple data types (integers, strings, floats)
- np.nan: Only works with floating-point data types

So...yeah, it's in fact a useful feature, but don't just go use it randomly anywhere, otherwise you might encounter weird logical error

- Related Stackoverflow question
3
Google's AI Studio now supports TTS (it supports lots of voices, but they are not that good)

https://aistudio.google.com/generate-speech
Cetus, a Sui-based decentralized exchange, is suspected of suffering a major exploit potentially draining over $200 million, with users reporting sharp value drops across listed assets, according to report.
CVE-2025-21756
Linux Kernel Exploitation
: Vsock-related attack

A flaw was found in the Linux kernel's VMware network driver, where an improperly timed socket unbinding could result in a use-after-free issue. This flaw allows an attacker who can create and destroy arbitrary connections on virtual connections to read or modify system memory, potentially leading to an escalation of privileges or the compromise of sensitive data.


CWE-416: Use After Free

- blog
- PoC
- nvd
- main patch

#cve #kernel
A cool-looking puzzle adventure, made with Godot Engine:

- Steam
- YouTube trailer
- Reddit post

#godot
Do It by Code
Introducing Claude 4 https://www.anthropic.com/news/claude-4
Claude 4 has the ability to....uh
apparently detect "suspicious activity" and report you???
D2L-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.


- https://d2l.ai
- d2l-ai/d2l-en

#book #ml
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Looks like there is an open-source model for a Vortex drone, and it's being copied by some people

Update: these dudes straight up patented my open source design.
Like, no attempt at hiding it whatsoever: https://patents.google.com/patent/US20240391613A1/en

Quoting Nicholas Rehm (@Nicholas_Rehm)

This is their “test prototype” they are showing off. It seems like they ripped my design files directly from here: https://hackaday.io/project/186410-the-cyclone-rotor-ufo-drone

And I’m 90% sure they’re using my software to fly this thing too. It flies with all the same little quirks I’d expect from my code.


Source