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Mistral reports on the environmental impact of LLMs

At Mistral AI, our mission is to bring artificial intelligence in everyone’s hands. For this purpose, we have consistently advocated for openness in AI, with a unique focus on empowering organizations that want to own their AI future. Today, as AI becomes increasingly integrated into every layer of our economy, it is crucial for developers, policymakers, enterprises, governments and citizens to better understand the environmental footprint of this transformative technology. At Mistral AI, we be

Subliminal learning: Models transmit behaviors via hidden signals in data

Alex Cloud*1, Minh Le*1, July 22, 2025 James Chua2, Jan Betley2, Anna Sztyber-Betley3, Jacob Hilton4, Samuel Marks5, Owain Evans2,6 *Equal contribution; author order chosen randomly 1Anthropic Fellows Program; 2Truthful AI; 3Warsaw University of Technology; 4Alignment Research Center; 5Anthropic; 6UC Berkeley Anthropic Fellows Program;Truthful AI;Warsaw University of Technology;Alignment Research Center;Anthropic;UC Berkeley tl;dr We study subliminal learning, a surprising phenomenon where lan

Leaked Slack Messages Show CEO of "Ethical AI" Startup Anthropic Saying It's Okay to Benefit Dictators

In the so-called "constitution" for its chatbot Claude, AI company Anthropic claims that it's committed to principles based on the Universal Declaration of Human Rights, instructing its chatbot to prioritize freedom, equality, freedom of thought, and adequate standards of living in its responses. Anthropic has long attempted to distinguish itself as putting safety first. The firm was founded by former OpenAI members, with a commitment to advancing AI ethically and responsibly. But four years o

Subliminal Learning: Models Transmit Behaviors via Hidden Signals in Data

Alex Cloud*1, Minh Le*1, July 22, 2025 James Chua2, Jan Betley2, Anna Sztyber-Betley3, Jacob Hilton4, Samuel Marks5, Owain Evans2,6 *Equal contribution; author order chosen randomly 1Anthropic Fellows Program; 2Truthful AI; 3Warsaw University of Technology; 4Alignment Research Center; 5Anthropic; 6UC Berkeley Anthropic Fellows Program;Truthful AI;Warsaw University of Technology;Alignment Research Center;Anthropic;UC Berkeley tl;dr We study subliminal learning, a surprising phenomenon where lan

Leak strongly hints that a cheaper Nothing phone is on the way

C. Scott Brown / Android Authority TL;DR Nothing may be planning a new “Lite” or “T” branded phone. The move could extend Nothing’s reach into the budget segment below the Phone 3a series. Xiaomi and OnePlus have used similar naming strategies to compete in the budget space. Nothing may be looking to broaden its smartphone range with the addition of more affordable models. The company has so far focused on flagship and mid-range devices, but that strategy could be evolving. According to rel

We Might Have Been Wrong About Where Spiders Came From

Technically speaking, every living thing on Earth can trace its origins to the sea. Some of these earliest creatures crawled onto land, evolving to become many different kinds of animals and insects—including, scientists believed for a long time, spiders and their relatives. A new study published today in Current Biology challenges the popular conception that spiders first emerged on land, instead suggesting that these arachnids and their relatives originated and evolved in the ocean. The team

Apple almost open-sourced its AI models, here’s why it didn’t: report

There have been several major reported departures of late from Apple’s AI team. Today, a new report from The Information delves into the internal drama, including the story of Apple almost open-sourcing its AI models and why that didn’t happen. Behind the scenes of Apple’s recent AI exodus Aaron Tilley and Wayne Ma write at The Information: Earlier this year, the Apple team working on the company’s artificial intelligence models wanted to release several of them as open-source software. Doing

Five things you need to know about AI right now

3. AI is power hungry and getting hungrier. You’ve probably heard that AI is power hungry. But a lot of that reputation comes from the amount of electricity it takes to train these giant models, though giant models only get trained every so often. What’s changed is that these models are now being used by hundreds of millions of people every day. And while using a model takes far less energy than training one, the energy costs ramp up massively with those kinds of user numbers. ChatGPT, fo

How to Migrate from OpenAI to Cerebrium for Cost-Predictable AI Inference

How To Migrate From OpenAI to Cerebrium for Cost-Predictable AI Inference If you're building an AI application, you probably started with OpenAI's convenient APIs. However, as your application scales, you'll need more control over costs, models, and infrastructure. Cerebrium is a serverless AI infrastructure platform that lets you run open-source models on dedicated hardware with predictable, time-based pricing instead of token-based billing. This guide will show you how to build a complete c

DOCSIS 3.0 vs. 3.1 vs. 4.0: How Are They Different?

If you have cable internet, then you're using DOCSIS technology. DOCSIS stands for Data Over Cable Service Interface Specifications, and it's a standard that defines how your modem relays cable internet signals to and from your home. If you have cable internet from Cox, Spectrum, Xfinity or a regional cable internet provider like Armstrong, you're using a DOCSIS-compliant modem. The DOCSIS 4.0 cable modem is ideal since it produces faster upload speeds. But while specifications for DOCSIS 4.0 h

Latent Labs launches web-based AI model to democratize protein design

About six months after coming out of stealth with $50 million in funding, Latent Labs has released a web-based AI model for programming biology. Latent Labs model has “achieved state-of-the-art on different metrics” when testing the proteins it developed in a physical lab, according to Latent Labs CEO and founder Simon Kohl, a scientist who previously co-led DeepMind’s AlphaFold’s protein design team. State-of-the-art, or SOTA, is a term often used in the AI field that represents the industry’s

Erlang 28 on GRiSP Nano using only 16 MB

Booting Erlang in 16 MB – A New Milestone for GRiSP Nano ​ Last Monday (2 June) at Code BEAM Light Stockholm Peer opened his presentation with the question Can the BEAM fit into 16 MB? Two days later, the GRiSP Nano prototype answered with an Erlang shell prompt. That success rests on work we’ve carried out since mid-2024. The 16 MB Hardware Budget ​ GRiSP Nano pairs an STM32U5 Cortex-M33 (3 MB internal SRAM) with 16 MB of OctoSPI DRAM. A micro-SD slot handles storage; 4 PMOD™ connectors expo

Topics: 16 free mb module ram

Leaked Memo: Anthropic CEO Says the Company Will Pursue Gulf State Investments After All

Anthropic is planning to seek investment from the United Arab Emirates and Qatar, according to a Slack message CEO Dario Amodei sent to staff Sunday morning, which WIRED obtained. Weighing the pros and cons, Amodei acknowledged in his note that accepting money from Middle East leaders would likely enrich “dictators.” “This is a real downside and I'm not thrilled about it,” he wrote. “Unfortunately, I think ‘No bad person should ever benefit from our success’ is a pretty difficult principle to r

How to break the 'AI hype cycle'

Akamai CTO Robert Blumofe offers four tips for business leaders striving to foster AI fluency by empowering employees with the right tools and best use cases. facebook X linkedin email print open share links close share links It’s an artificial intelligence hype cycle Robert Blumofe sees far too often: Business leaders hear an anecdote about an early-stage AI breakthrough, mistake it for a mature use case, fear that they’re missing out, plunge headlong into adoption — and end up with an im

A ChatGPT ‘router’ that automatically selects the right OpenAI model for your job appears imminent

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now In the 2.5 years since OpenAI debuted ChatGPT, the number of large language models (LLMs) that the company has made available as options to power its hit chatbot has steadily grown. In fact, there are now a total of 7 (!!!) different AI models that paying ChatGPT subscribers (of the $20 Plus tier and more expensive tiers) can choose betwee

OpenAI wins gold at prestigious math competition - why that matters more than you think

OpenAI OpenAI has achieved a new milestone in the race to build AI models that can reason their way through complex math problems. On Saturday, the company announced that one of its models achieved gold medal-level performance on the International Math Olympiad (IMO), widely regarded as the most prestigious and difficult math competition in the world. Critically, the winning model wasn't designed specifically to solve IMO problems, in the way that earlier systems like DeepMind's AlphaGo -- wh

Amazon and the “Profitless Business Model” Fallacy

[DISCLOSURE: As always when I write about Amazon, I'll note I worked there from 1997-2004 and that I still own some shares in the company. I still have many friends who work there, though I have no more idea what Amazon is working on now than any of you in the public.] With every quarterly earnings call, my Twitter feed lights up with jokes about how Amazon continues to grow its revenue and make no profits and how trusting investors continue to rewards the company for it. The apotheosis of that

Google and OpenAI Chatbots Claim Gold at International Math Olympiad

Artificial intelligence models developed by Google’s DeepMind team and OpenAI have a new accolade they can add to their list of achievements: they have defeated some high schoolers in math. Both companies have claimed to achieve a gold medal at this year’s International Mathematical Olympiad (IMO), one of the toughest competitions for high school students looking to prove their mathematical prowess. The Olympiad invites top students from across the world to participate in an exam that requires

Amazon and the "Profitless Business Model" Fallacy

[DISCLOSURE: As always when I write about Amazon, I'll note I worked there from 1997-2004 and that I still own some shares in the company. I still have many friends who work there, though I have no more idea what Amazon is working on now than any of you in the public.] With every quarterly earnings call, my Twitter feed lights up with jokes about how Amazon continues to grow its revenue and make no profits and how trusting investors continue to rewards the company for it. The apotheosis of that

The fan-made mod of the original Fallout game has a real trailer and it looks sick

Fallout: Bakersfield is a fan-made mod of the 1990s original that's been on our radar for a few years. We got a little teaser back in 2022 , but it's been radio silence since then. Now there's an actual trailer filled with gameplay footage and it looks pretty nifty. Developer Alexander "Red888guns" Berezin is the brains behind the project and he used the GZDoom engine to recreate the ghoul city of Necropolis from Fallout 1 as an FPS that resembles the newer games. The art style is pretty incred

Tesla’s response to cratering sales? A deals blitz

is transportation editor with 10+ years of experience who covers EVs, public transportation, and aviation. His work has appeared in The New York Daily News and City & State. With its sales in the crapper, Tesla is resorting to a slate of deals and incentives to get reinvigorate flagging customer interest in its lineup of electric vehicles. In recent days, the automaker has rolled out a series of discounts and financing incentives on all of its models, as it seeks to capitalize on what is likely

Hisense U8QG TV Review: Beautifully Bright, Tough to Tame

If you’re after a crazy-bright TV, Hisense’s U8 series has you covered. In the past few years, each new U8 model has ramped up the juice considerably, with the U8QG offering another powerful upgrade over last year’s U8N (8/10, WIRED Recommends). Considering I freely referred to the U8N with words like “nuclear” and “weapons-grade,” that’s saying something. Of course, while TV brightness is key for bolstering colors and hitting the hottest HDR (high dynamic range) highlights, brighter doesn’t alw

Topics: google model tv u8n u8qg

Apple details how it trained its new AI models: 4 interesting highlights

During WWDC25, Apple announced new versions of its on-device and cloud-based foundation models. Now, they have published a tech report detailing how those models were trained, optimized, and evaluated. And the report includes some genuinely interesting under-the-hood tidbits. In a comprehensive document called “Apple Intelligence Foundation Language Models – Tech Report 2025“, the company walks through multiple aspects of the new models, including their architecture, data sources, pre-training,

ChatGPT's GPT-5-reasoning-alpha model spotted ahead of launch

GPT-5 might be just a few days or weeks away, as we've spotted references to a new model called gpt-5-reasoning-alpha-2025-07-13. As spotted on X, OpenAI is testing a model called "gpt-5-reasoning-alpha-2025-07-13." This model was finalised on the 13th of July, and it appears to be the final round of testing. "Models: openai/gpt-5-reasoning-alpha-2025-07-13: reasoning_effort: high," one of the code references read. Alexander Wei, a researcher at OpenAI, recently confirmed that GPT-5 is on it

Topics: alpha gpt model o3 openai

The best Good Luck modules are getting One UI 8 support with cool new features

Hadlee Simons / Android Authority TL;DR Good Lock modules like Home Up, MultiStar, NavStar, and QuickStar have been updated with support for One UI 8. Home Up’s update also brings several new features and improvements to the DIY Home Screen feature. One UI 8 stable is expected to reach many more smartphones across Samsung’s lineup in the near future. The Galaxy Z Fold 7, Flip 7, and Flip 7 FE are out, and they are the first phones to get a stable version of One UI 8. With their launch done a

Here’s how Apple Intelligence keeps privacy in mind versus the competition

Artificial intelligence has obviously been the industry craze for the past couple years. While large language models are incredibly capable, they’ve always come with a bit of a compromise: privacy. Ultimately, you’re still using a model hosted in the cloud, and all of your conversations are stored on some server. Apple’s always had privacy at the core of its products – so in the months leading up to the debut of Apple’s AI features, many people wondered: how would Apple handle it? Today, we del

5 tips for building foundation models for AI

imaginima/Getty Many businesses are just beginning to grapple with the impact of artificial intelligence, but some have been using machine learning (ML) and other emerging technologies for over a decade. Also: Most AI projects are abandoned - 5 ways to ensure your data efforts succeed For Manish Jethwa, CTO at Ordnance Survey (OS), the UK's national mapping service, the priority is to combine his organization's AI and ML experiences with recent advances in generative AI to refine, distribute,

Topics: ai data models os said

Agents built from alloys

This spring, we had a simple and, to my knowledge, novel idea that turned out to dramatically boost the performance of our vulnerability detection agents at XBOW. On fixed benchmarks and with a constrained number of iterations, we saw success rates rise from 25% to 40%, and then soon after to 55%. The principles behind this idea are not limited to cybersecurity. They apply to a large class of agentic AI setups. Let me share. XBOW’s Challenge XBOW is an autonomous pentester. You point it at yo

“The Bitter Lesson” is wrong. Well sort of

“The Bitter Lesson” is wrong. Well… sort of. Assaf Pinhasi 3 min read · 1 hour ago 1 hour ago -- Listen Share TL;DR There is no dichotomy between domain knowledge vs. “general purpose methods that leverage data+compute”. They are both powerful tools that compensate for each other and need to be balanced and traded off during the model building process. “The bitter lesson” in 30 seconds “The bitter lesson” is one of the most popular opinion pieces about AI research and it’s future. In his w

LLM architecture comparison

It has been seven years since the original GPT architecture was developed. At first glance, looking back at GPT-2 (2019) and forward to DeepSeek-V3 and Llama 4 (2024-2025), one might be surprised at how structurally similar these models still are. Sure, positional embeddings have evolved from absolute to rotational (RoPE), Multi-Head Attention has largely given way to Grouped-Query Attention, and the more efficient SwiGLU has replaced activation functions like GELU. But beneath these minor refi