'Makes me want to unplug every mic and speaker': PC users panic as professional discovers speaker that can hack any PC over Bluetooth techradar.com/computing/comp…

Unless you want unpredictable results and costs it won't be in the very near future. It's quite funny actually, I had a cleaning company recently sms me via an A.i tool, once determined it was a.i , I had some fun with it, and got it to give me some python scripts, ASCII drawings and the like... Well that is until it blocked the users AI account for some "hacking" attempt..

The isolator helmet was a device invented by Hugo Gernsback in 1925 to help people concentrate and eliminate distractions. The helmet was made of wood and felt, and had three pieces of glass that allowed the wearer to see only a narrow slit in front of them. The helmet also blocked out all sounds, and had a tube that supplied oxygen to the wearer. The idea was that by isolating the senses, the wearer could focus better on reading or writing. However, the helmet also had some drawbacks, such as making the wearer drowsy after 15 minutes, and being very bulky and uncomfortable. Gernsback claimed that the helmet was 90-95% efficient in blocking out noise, but he only made 11 helmets and they disappeared by 1926. The isolator helmet was featured in Gernsback’s magazine Science and Invention, and later inspired other similar devices such as the Helmfon. 📷Science and Invention Magazine

The CEO of Take-Two, the company behind GTA, just said something the entire AI industry doesn't want to hear. And he said it without being anti-AI. Strauss Zelnick's argument is precise. AI is built on datasets. Datasets are backward-looking. Creativity is forward-looking. A model trained on everything that already exists cannot, by definition, produce something genuinely unexpected. And all hits, by their very nature, are unexpected. Asset creation and hit creation are not the same thing. AI is getting very good at the first one. The second one is what actually makes money, builds franchises, and changes culture. Nobody has shown AI can do that yet. The derivative property problem is real. You can clone GTA with existing technology. You could do it before AI. It would take 3 years and look identical. It still wouldn't sell. Because it isn't GTA. It's a clone of GTA. And consumers, despite what the industry occasionally pretends, can feel the difference between something genuinely new and something assembled from the residue of things that already worked. Thousands of mobile games ship every year. 0 to 5 hits get made. The same studios make them every time. The technology to make more games has been commoditized for years. It didn't democratize hit creation. It just flooded the market with more forgettable product. The Silicon Valley thesis that AI unlocks game creation for everyone is true in the same way that cheap cameras unlocked filmmaking for everyone. They did. And the same 5 studios still make the movies everyone watches. What Zelnick is saying, without quite saying it, is that the thing AI cannot replicate is taste. The instinct for what hasn't been done yet. The cultural antenna that detects the gap in the market before the data can see it. Data tells you what people wanted. Hits tell people what they want next. Those are different jobs.

ok hear me out github but it's warcraft themed

OMG

Still Consuming. Consuming Tokens. The producers are the LLM Model Providers. It's said that the LLM providers are heavily subsidized by VC's and running at a loss, by up to 90%... Wonder what will happen when those subsidies dry up. Are they planning for compute hardware to get cheaper, models get so efficient, power to be more abundant..... OR just ramp up prices.... interesting to see what happens.