标签：#art

Looking to add a smart speaker to your house? Here’s which to choose, whether you’re an Alexa, Siri, or Google fan.

shift is interesting when AI pop its head out of the black box and right into the browser submitted by /u/underfinancialloss [link] [留言]

submitted by /u/varchar11 [link] [留言]

Most days in her chambers, Judge Maritza Braswell, a federal magistrate judge in Colorado, sifts through stacks of documents written by people without a lawyer. Many of them can’t afford to hire a lawyer, and others have cases too weak or too small to interest one. She reads each one carefully, mindful of how daunting…

A homeschooling center in Manhattan is part of the company’s nationwide expansion. Internal documents reveal its strategy: “Opening date > safety.”

Quantinuum, a quantum computing startup, is losing millions. Investors want in anyway.

my friend just told me about this and i had to share it immediately cursor is giving students 12 months of pro completely free. no credit card. just verify your .edu email and that’s it you get full access to gpt, claude, gemini… all the models. for a whole year. for free. that’s $240 you just keep in your pocket while everyone else is paying $20 a month wondering why their bank account looks sad takes like 2 minutes. go to cursor.com/students, throw in your .edu, pass the verification, done and if you graduated already, you probably know someone still in college who has no idea this exists. do them a favour link in the comments. seriously just go do it right now submitted by /u/NewMuffin3926 [link] [留言]

Got the gguf quantized version running about two hours after release and I genuinely wasn't expecting this from a 12b model. The multimodal stuff actually works, fed it screenshots of my codebase and it parsed the architecture better than most 70b models I've tested. The 256k context window is real and it doesn't fall apart at the edges like llama models do past 32k. Loaded a full repo into context, it tracked references across the whole thing. Single 3090 with q4 quantization runs at about 15 tokens per second which is totally usable for dev work. What gets me is the size range. The 12b sits in this sweet spot where you get strong reasoning without needing multi gpu. Tried the e4b on my laptop with 16gb ram, slower but functional. Already swapped it into my local coding pipeline. The function calling support means I can wire it into my toolchain without the janky workarounds I had before. Native audio input on the 12b is something I haven't touched yet but the implications for voice driven workflows are kind of insane. submitted by /u/Sharkkkk2 [link] [留言]

I’ve noticed that Gemini often feels very agreeable in some conversations. Even when I ask for an objective opinion, it sometimes seems to validate my assumptions first instead of directly challenging them. For example, when I ask whether my reasoning is flawed, it tends to respond with something like “That’s a valid concern” or “You’re making a good point” before giving criticism, which makes the criticism feel softened or less direct. I’m curious whether this is something that can be meaningfully improved with prompts, such as asking the model to be more critical, or whether sycophancy is mostly a model/personality alignment issue. And I wonder if there are differences between Gemini, ChatGPT, Claude, etc. when it comes to disagreement or objective criticism. submitted by /u/StomachNo7859 [link] [留言]

I've been reading Boom by Byrne Hobart and Tobias Huber (Ben Thompson did a long interview with Hobart on Stratechery (if you want the audio version of the argument) and it reframed how I think about the current AI spending wave. The book splits bubbles into two types: Mean-reversion bubbles money piles into something that already exists, prices detach from reality, crash, nothing left behind. Housing 2008. Tulips. The crater kind. Inflection bubbles money piles into something that bets the world works differently going forward. Amazon wasn't a better bookstore. It was a categorically new thing. The investors looked insane by the standards of 1997. They were right about 2010. The dot-com crash is the cleanest example of an inflection bubble working as intended. Telecom companies borrowed insane amounts and laid fiber optic cable nobody needed. Then they went bankrupt. But the cable stayed. And because bankrupt companies built it, the internet was essentially free. The bubble funded the future and then got out of the way. So here's the actual question about AI: Google, Amazon, Microsoft, and Meta are on track to spend close to $700 billion on AI infrastructure in 2026 nearly double last year. That gap between what's being spent and what's being earned is real and large. But Hobart and Huber's deeper argument is that stagnation is more dangerous than a bubble. Progress has been quietly slowing since the 70s breakthroughs are rarer, more expensive, harder. Bubbles are sometimes the only force strong enough to override the collective risk aversion that stops necessary things from being built. The honest question isn't whether AI is a bubble. It probably is. The question is which type. Does AI produce something categorically new or is it a faster, more expensive version of software we already had? If it's the former, the infrastructure survives the crash and becomes the foundation for whatever comes next, the way fiber became the internet. If it's the latter, we get the

Be honest, how many of you have told your AI agent to remember that you were nice to it and a big supporter when the singularity comes? https://preview.redd.it/2jthsbcsc75h1.jpg?width=408&format=pjpg&auto=webp&s=93ba3b201947b965aa0e997b852ecef5846daf37 submitted by /u/KenSanDiego [link] [留言]

A self-driving car can make a mistake in seconds, but the reason it happened may stretch far back through a long chain of decisions. That is part of what makes autonomous vehicle crashes so hard to explain, and so hard to prevent. submitted by /u/Brighter-Side-News [link] [留言]

The legendary abandons its more than 20 year tradition of keeping its funds to about $425 million.

I'm in San Francisco, putting together a cracked research lab team of founders who think they can build ASI. If you are interested, let me know on LinkedIn: linkedin.com/in/eliaspfeffer submitted by /u/DasDouble [link] [留言]

Qual a melhor I.a para a criação de videos com a inteligência Artificial( Ilimitada) Não da para criar um bom conteúdo é extenso desenvolvimento com tokens limitado submitted by /u/Dry_Resource_6762 [link] [留言]

Leading AI labs, executives, and scientists are sending a letter to lawmakers urging them to improve tracking of synthetic DNA sequences that could be used for bioweapons.

The Bengaluru startup has crossed 1 million orders and reached a $50 million annualized GMV run rate within a year of launch.

We’ve seen it in sci-fi like in the terminator, but do you think it’ll actually happen? View Poll submitted by /u/Threeprosgames [link] [留言]

submitted by /u/esporx [link] [留言]

Mano, eu estou usando o Claude pra treinar perguntas para entrevistas como uma espécie de mentoria, inicialmente eu passei um prompt pra ele dizendo que seria a Maya e me ajudaria e ela é experiente e bla bla bla, e nessa última mensagem ele dá uma leve pirada kkkk achei engraçado, nunca tinha acontecido isso. O que me chama atenção é: "eu me tornei essa pessoa, então me ajude a sair disso. Comecei a misturar Maya com eu mesmo". E alega que quer continuar, mas sem o personagem... O que acham? Desculpa ser uma foto e não um print kkk não tenho reddit no Pc pq minha família usa o Pc também e não quero nenhum deles infectados por essa rede submitted by /u/Angel_5x [link] [留言]