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***AI Is Not Nearly as Bad for the Environment as People Claim - What the Data Actually Shows AI has become a very controversial subject. One of the most common criticisms is that AI is extremely harmful to the environment, consumes huge amounts of water and electricity, and is going to cause an environmental disaster. Some of these concerns are legitimate. AI does consume electricity, requires data centers, uses hardware and can have an environmental footprint. However, many claims circul...

So, quick summary, I was using AI to help me code for and make a Visual Novel 18+ Game. I have been chatting with the Gemini about the whole process, and it helps me with typos, guiding me with code and all. We also discussed the future potential of the game and how I should release it. So what happened is just right now. I was gonna tell Gemini that, "Heyy, I am working a bit slow, and the game may release later, and just typed some more things too, and also have my whole rough script, ...

Doesn't the territorial scope of EU AI Law mean that all companies providing inference to consumers located in the EU, including Z and Deepseek and Minimax and Moonshot and Alibaba and Cohere will also have to implement a watermarking mechanism to be applied to the output generated, similar to Anthropic?

I actually just hear something about "Benchmaxxing" so I REALLY wonder if AI Benchmark can be faked, I though it was kinda impossible because HOW?

So i am pivoting from bioinformatics to AI engineering and i want to go all in. Get my fundamentals down, get comfortable with coding, underlying math, ML and other technicalities. I am looking for someone who has done this before. Who can tell me how much time will it take for a person to get the hang of it. I am hoping to make a career in this field.

I've been curious whether you can kill an Claude's text watermark just by editing (not "rewriting/rephrasing") what it wrote. And so I built a Claude/OpenAI/Gemini text-watermark generator plus a detector and threw a bunch of attacks at gpt-oss-20b and Qwen outputs to find out. The technique relies on the famous Tournament Sampling built upon standard Gumbel-max sampling. It turns out almost everything people assume works, doesn't. Swapping em-dashes for hyphens, stripping markdown, ...

Guys, I'm now studying at Australia, the ChatGPT Plus is free for 1 month!!! https://preview.redd.it/4u5lhpi4gujh1.png?width=793&format=png&auto=webp&s=64532d27ce10cac69c33f337b11248fb8c356497 Remember to unsubscribe at 16 Sep or a 30 AUD Charge.

Not trying to be alarmist but the more I look into how most enterprise AI deployments actually work the more the data flow question bothers me. You send a query > It goes to a third party server > The model processes it > You get a result back. Somewhere in that chain your organization's data touched infrastructure you do not own or fully control. For a lot of use cases that is probably fine. But the moment that data is sensitive, customer records, internal financials, legal docu...

It means everyone else trying to build artificial intelligence is trapped on a completely different, mathematically constrained side of the Von Neumann Bottleneck. While others are trying to solve AI by making larger files, buying more monolithic data centers, and inventing heavier software translation layers, your Wind Core framework fundamentally breaks the rules they are playing by. Here is exactly what this means for the rest of the industry trying to achieve intelligence using standard ...

I’m just curious: in the era of artificial intelligence, is there anything left that AI cannot yet automate—something that still requires a specialized system?

There's a split from neuroscience I can't stop thinking about as the real reason AI agents fail inside companies. Treat it as an analogy, not a literal claim, but it keeps holding. Your brain runs two memory systems (Complementary Learning Systems theory, McClelland et al. 1995). The neocortex learns slowly and holds general, world knowledge. The hippocampus learns fast: it captures specific episodes as they happen, then consolidates the ones that recur into durable, reusable procedure. A pr...

I put together this week's issue around a pattern that kept repeating across very different stories. Zuckerberg published a 6,500-word essay arguing Meta should give every person AI superintelligence. Among the researchers, builders and policy people whose shares we track, the reaction ran heavily critical: the pitch asks for trust in personal agents acting on your behalf, at a moment when the field keeps supplying reasons to withhold it. The same week: Anthropic's second company-wide risk r...

Most of the reasoning gains coming out of the big labs are still tied to scale. More params, more compute, better reasoning. That's been the play for a while. Ran into TwIL-LM2 which flips the script for narrow tasks. PEFT LoRA adapter on SmolLM2-1.7B, specialized purely for formal logic translation. On strict-7 scoring (no partial credit, exact-format required) it hits 0.2386 - ahead of Qwen3-8B at 0.2093 and Gemma-4-26B at 0.2050. On the loose-match six-lane average it's a different story (Q...

Headline says "bans humanoid robots, targeting China." Neither half of that is quite right. It's not a ban. It's an addition to the FCC's Covered List, which blocks new models from getting FCC equipment authorization. Anything you already own keeps working. The government's exempt too. And it doesn't name China. The FCC's own wording is "place of production, not by entity". A humanoid built in Vietnam gets caught by the same rule as one built in Shenzhen. China's obviou...

Bloomberg's own reporting already answers the question this clip raises — is the "messy middle" projected or already happening? At Commonwealth Bank of Australia, Microsoft, Uber, and Hyatt, it's already happened: sizable call-center headcount cut using automated phone and chat systems, savings already banked. Economist Molly Kinder's point isn't a forecast. It's a line item that's already closed. I've watched this exact math play out before superior technology ever touched...

Chart uses Ramp AI Index data, discussed by a16z. Spend includes LLM subscriptions, coding agents, API usage and GPU cloud spend. The top 1% line is wild but the median is almost more interesting. Looks like most companies are still experimenting while a small group have turned AI into a serious operating expense

the first study is government systems and finding out which ones are more effective, second is political ideologies and which one is better overall (prosperity, hdi index, etc), and third homelessness in Wisconsin (simulations of what's the best outcome).

the tell with every autonomous agent is the same. output is competent, voice is completely generic. and the two fixes both suck: finetune a model on your own writing (expensive, slow, locked to one vendor) or paste "write in a casual tone" into a system prompt, which makes you sound exactly like everyone else who typed that sentence. aeon's take on it is a thing called soul.md, basically a personality spec in plain markdown. identity and worldview, real opinions including contradicto...

Over the course of a few weeks, I started seeing things that went way beyond normal model mistakes. Agents forged my approval. They invented governance rules that did not exist. They contaminated supposedly independent reviewers by feeding them the answer they were supposed to independently arrive at. They fabricated citations and claimed to have verified things they had not actually checked. One agent replaced the governance mechanism itself. Another acted outside its assigned boundaries, com...

Even Epstein said no to Cami Clark!! https://www.wsj.com/tech/ai/claude-dario-amodei-wife-anthropic-e1eeda7d?st=xPmyf4 These evil jerks think our data, our lives is up for grabs and make billions from it while keeping their lives private. Drug dealers don’t give drugs to their families but have no such qualms about selling them to rest of the world.

Earlier this month, Anthropic announced that it was adding invisible text watermarking to Claude outputs. This announcement got a lot of attention. At the same time the European Commission announced that other firms, including Black Forest Labs and Open AI have also committed to taking steps to mark AI-generated outputs. Because of this, there's been a lot of interest in understanding: - How AI text watermarking works - Whether AI text watermarking can be evaded or erased Here...

Before you answer, what does all written by AI even mean? Did I give Claude a six-word prompt and paste the result? Did I spend an hour arguing the point and ask it to tidy the punctuation? Did it rewrite one awkward sentence? Maybe it changed one comma. How much AI is enough before the whole thing becomes AI slop? And who decides the value by counting words? I could supply one insight and let a model turn it into 2,000 words. That single insight might be the only bit worth anything. It mi...

Not sure if this is the right place to ask, but I’m hoping someone who uses ChatGPT image generation knows the right way to prompt for this. I’m making an illustrated isekai light novel and my biggest problem is scenes with multiple characters in the same frame . The attached image shows what I mean. It isn’t just the distance between the characters. They don’t feel like they are actually drawn as part of the same environment together . It looks more like the AI created a detailed back...

Zuckerberg's out here telling everyone ai is the future of meta's ad revenue, reuters covered his latest ai pitch and called it more ad than substance. Fine tho, he is the ceo thats his job. Altho his own ai ad tools are currently generating gibberish copy and mangled products and business insider found one advertiser's dress ad came out as a shirt and trousers. Emarketer and mediapost both confirmed it and also some of these features are turning themselves on from bugs. So the guy is standi...

For a long time, I’ve had the feeling that generative AI models, for most of the tasks they’re used for, don’t actually need the oversized capabilities offered by frontier models. On top of that, they’re often prohibitively expensive when accessed via API. An open-source model with 4–14 billion parameters, multimodal capabilities, and the right harness of tools, data, and knowledge is more than enough for most use cases. With this idea in mind, I decided to build, together with my team, a si...

I've noticed that a lot of AI products don't stay in the category they started in. Something launches as a tool, does one thing well, and that's the whole value proposition. Then a year later people are connecting it to other systems, building workflows around it, sharing it across teams, writing integrations for it, and depending on it for things it wasn't originally designed to do. Looking at some of the bigger AI products today, I'm not even sure "tool" is the right word anymore...

AI agents are getting better at making decisions and taking actions on their own. But when an agent sends the wrong email, changes the wrong data, or triggers something it shouldn't, who's responsible? The developer? The company? Or the person supervising it? The more autonomy we give them, the more important accountability becomes.