Lifeboat Foundation

I found this on NewsBreak: #Design

Leveraging advanced computational techniques in physical sciences has become vital for accelerating scientific discovery. This involves integrating large language models (LLMs) and simulations to enhance hypothesis generation, experimental design, and data analysis. Automating these processes aims to streamline and democratize access to cutting-edge research tools, pushing the boundaries of scientific knowledge and improving efficiency across various scientific domains.

Researchers face a significant challenge in effectively simulating observational feedback and integrating it with theoretical models in physical sciences. Traditional methods often need a universal approach that can be applied across various scientific fields, leading to inefficiencies and limiting the potential for innovative discoveries. The need for a more comprehensive and adaptable framework is evident to address this issue and advance scientific inquiry.

Continue reading “This AI Paper Introduces the Scientific Generative Agent: A Unified Machine Learning Framework for Cross-Disciplinary Scientific Discovery” »

All sensations—hunger, feeling pain, seeing red, falling in love—are the result of physiological states that an LLM simply doesn’t have. Consequently we know that an LLM cannot have subjective experiences of those states. In other words, it cannot be sentient.

An LLM is a mathematical model coded on silicon chips. It is not an embodied being like humans. It does not have a “life” that needs to eat, drink, reproduce, experience emotion, get sick, and eventually die.

It is important to understand the profound difference between how humans generate sequences of words and how an LLM generates those same sequences. When I say “I am hungry,” I am reporting on my sensed physiological states. When an LLM generates the sequence “I am hungry,” it is simply generating the most probable completion of the sequence of words in its current prompt. It is doing exactly the same thing as when, with a different prompt, it generates “I am not hungry,” or with yet another prompt, “The moon is made of green cheese.” None of these are reports of its (nonexistent) physiological states. They are simply probabilistic completions.

AI has already started replacing voice agents’ jobs. Now, companies are exploring ways to replace the existing computer-generated voice models with synthetic versions of human voices. Truecaller, the widely known caller ID service, is the latest to take this approach with its announcement that it will now allow customers to use its AI-powered Assistant to answer phone calls in their own voice.

The new experience comes via a partnership with Microsoft that allows the Swedish company to use the Redmond giant’s Personal Voice technology, introduced in November as part of Azure AI Speech.

By using Microsoft’s Personal Voice, Truecaller’s Assistant, available to paid users, will be able to replicate users’ voices in order to greet and respond to callers. This is in addition to the preset system-generated voice options available to users through the digital assistance feature that helps answer phone calls for you, screen unknown calls, take messages, respond on your behalf or even record the call.

More funding is being poured into startups focused on AI. DeepL, which builds automated text translation and writing tools that compete against the likes of Google Translate and Grammarly, said on Wednesday that it has raised an additional $300 million. It is now valued at $2 billion, post-money.

This round, led by Index Ventures, underscores the frenetic interest that investors have in AI startups at the moment and how companies are capitalizing on that opportunity while they can. DeepL, which is still not profitable, was valued at $1 billion in January 2023, when it raised just over $100 million.

The new money will be used to drive more sales and marketing, as well as further research and development.

NVIDIA’s Blackwell GB200 AI servers are anticipated to see major traction, reaching 2 million units shipped in 2025 & utilizing new packaging tech.

NVIDIA To Overcome CoWoS Supply Chain Bottlenecks By Shifting To The Newer “PFLO” Standard, 420K Units Shipping This Year With Up To 2 Million Anticipated For 2025

The success of NVIDIA’s Hopper AI products last year not only uplifted the company’s economics to new heights but also revealed massive flaws in the supply chain. Due to these flaws, the products became victims of long order backlogs. The main culprits at that time were HBM & CoWoS supply, which was in a much inferior position to what it is today. Despite seeing massive upgrades, NVIDIA has decided to resolve CoWoS issues with its latest Blackwell product, as the firm is rumored to have switched to a newer packaging technology by 2025–2026.

So dl what you can…

WASHINGTON, May 22 (Reuters) — The House Foreign Affairs Committee on Wednesday voted overwhelmingly to advance a bill that would make it easier for the Biden administration to restrict the export of artificial intelligence systems, citing concerns China could exploit them to bolster its military capabilities.

The bill, sponsored by House Republicans Michael McCaul and John Molenaar and Democrats Raja Krishnamoorthi and Susan Wild, also would give the Commerce Department express authority to bar Americans from working with foreigners to develop AI systems that pose risks to U.S. national security.

Continue reading “US lawmakers advance bill to make it easier to curb exports of AI models” »

At a minimum, systems will need 16GB of RAM and 256GB of storage, to accommodate both the memory requirements and the on-disk storage requirements needed for things like large language models (LLMs; even so-called “small language models” like Microsoft’s Phi-3, still use several billion parameters). Microsoft says that all of the Snapdragon X Plus and Elite-powered PCs being announced today will come with the Copilot+ features pre-installed, and that they’ll begin shipping on June 18th.

But the biggest new requirement, and the blocker for virtually every Windows PC in use today, will be for an integrated neural processing unit, or NPU. Microsoft requires an NPU with performance rated at 40 trillion operations per second (TOPS), a high-level performance figure that Microsoft, Qualcomm, Apple, and others use for NPU performance comparisons. Right now, that requirement can only be met by a single chip in the Windows PC ecosystem, one that isn’t even quite available yet: Qualcomm’s Snapdragon X Elite and X Plus, launching in the new Surface and a number of PCs from the likes of Dell, Lenovo, HP, Asus, Acer, and other major PC OEMs in the next couple of months. All of those chips have NPUs capable of 45 TOPS, just a shade more than Microsoft’s minimum requirement.

“Recall uses Copilot+ PC advanced processing capabilities to take images of your active screen every few seconds,” Microsoft says on its website. “The snapshots are encrypted and saved on your PC’s hard drive. You can use Recall to locate the content you have viewed on your PC using search or on a timeline bar that allows you to scroll through your snapshots.”

By performing a Recall action, users can access a snapshot from a specific time period, providing context for the event or moment they are searching for. It also allows users to search through teleconference meetings they’ve participated in and videos watched using an AI-powered feature that transcribes and translates speech.

At first glance, the Recall feature seems like it may set the stage for potential gross violations of user privacy. Despite reassurances from Microsoft, that impression persists for second and third glances as well. For example, someone with access to your Windows account could potentially use Recall to see everything you’ve been doing recently on your PC, which might extend beyond the embarrassing implications of pornography viewing and actually threaten the lives of journalists or perceived enemies of the state.

Yann LeCun argues current AI methods are flawed as he pushes for ‘world modelling’ vision for superintelligence.