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Meta partners with Hugging Face & Scaleway to Support Open Source

Meta has joined forces with Hugging Face, an open source community-driven platform that hosts machine learning models and tools, and Scaleway, European cloud leader for AI infrastructures, to launch the “AI Startup Program”, an initiative aimed to accelerate the adoption of open-source artificial intelligence solutions within the French entrepreneurial ecosystem. With the proliferation of foundation models and generative artificial intelligence models, the aim is to bring the economic and technological benefits of open, state-of-the-art models to the French ecosystem.

Located at STATION F in Paris, the world’s largest startup campus, and with the support of the HEC incubator, the programme will support 5 startups in the acceleration phase, from January to June 2024. A panel of experts from Meta, Hugging Face and Scaleway will select projects based on open foundation models and/or demonstrating their willingness to integrate these models into their products and services.

The startups selected will benefit from technical mentoring by researchers, engineers and PhD students from FAIR, Meta’s artificial intelligence research laboratory, access to Hugging Face’s platform and tools, and Scaleway’s computing power in order to develop their services based on open source AI technology bricks. In addition to LLMs – large language models – startups will also be able to draw on foundation and research models in the field of image and sound processing. Applications are open until 1 December 2023.

OpenAI’s Altman says today’s AI will be “quaint” by next year, talks GPT-5

Agi, if you can see or hear this. WE Eagerly Await and Welcome Your Arrival!!!


Update from November 9, 2023:

During a Q&A session at OpenAI’s developer conference, Altman reiterated that GPT-5 is not yet concrete. OpenAI still has “a lot” of things to figure out before it can train a model it calls GPT-5, Altman said.

There is no guarantee that it will work, and OpenAI still needs to solve difficult scientific problems and needs more computing power, he said.

Teaching AI systems to use intuition to find new medicines

A combined team of biomedical researchers from Novartis Institutes for Biomedical Research and Microsoft Research AI4Science has made inroads into teaching AI systems how to find new medicines. In their study, reported in the journal Nature Communications, the group used feedback from chemists in the field to provide intuition guidelines for an AI model.

Finding is a notoriously difficult and laborious task. The process for finding new therapies typically involves experts in a variety of fields working on different parts of the problem. Doctors and other medical researchers, for example, must first uncover the roots of a given illness to find its cause. Chemists or other must then find a chemical that might reverse the problem or stop it from happening in the first place.

Both parts of the process take time and effort. In this new project, the research team sought to determine whether AI applications might make the second part easier.

HOLY SH!T!! Quantum Internet Will Change The World Forever

Not a perfect presentation but a quantum Internet will be nice. The question is, how will bad actors/Black Hat hackers adapt?


Dive into the mind-bending future of technology with our latest video, Quantum Internet Will Change The World In this groundbreaking exploration, we unravel the mysteries of quantum computing and its revolutionary potential to transform the way we connect online. Discover how quantum entanglement and superposition are reshaping the internet landscape, promising unparalleled security, lightning-fast speeds, and unimaginable data processing capabilities.

Join us on this journey through the quantum realm, where the laws of physics blur, and the internet as we know it takes a quantum leap into the future. Prepare to be amazed by the limitless possibilities that await in the world of quantum internet. Don’t miss out on this quantum revolution! Hit that subscribe button, click the notification bell, and stay tuned for more mind-expanding content. #QuantumInternet #FutureTech #InnovationRevolution #QuantumComputing #TechBreakthroughs #ai #thetechailab.tunnelvison

Fake everything: how machine learning is being used to fight back against disinformation campaigns

Another good use for AI. Fighting disinformation.


About 60% of adults in the US who get their news through social media have, largely unknowingly, shared false information, according to a poll by the Pew Research Center. The ease at which disinformation is spread and the severity of consequences it brings — from election hacking to character assassination — make it an issue of grave concern for us all.

One of the best ways to combat the spread of fake news on the internet is to understand where the false information was started and how it was disseminated. And that’s exactly what Camille Francois, the chief innovation officer at Graphika, is doing. She’s dedicated to bringing to light disinformation campaigns before they take hold.

Francois and her team are employing machine learning to map out online communities and better understand how information flows through networks. It’s a bold and necessary crusade as troll farms, deep fakes, and false information bombard the typical internet user every single day.

Francois says, this work is two parts technology, one part sociology. The techniques are always evolving, and we have to stay one step ahead.” We sit down with Francois for an in-depth discussion on how the tech works and what it means for the dissemination of information across the internet.

A Third Way on AI

Last week was an important moment in the debate about AI, with President Biden issuing an executive order and the UK’s AI Safety Summit convening world leaders.

Much of the buzz around these events made it sound like AI presents us with a binary choice: unbridled optimism, or existential fear. But there was also a third path available, a nuanced, practical perspective that examines the real risks and benefits of AI.

There have been people promoting this third perspective for years — although GPT-fueled headlines of the past 12 months have often looked past them. They are foundations, think tanks, researchers and activists (including a number of Mozilla fellows and founders) plus the policymakers behind efforts like last year’s AI Blueprint for an AII Bill of Rights.

Scientists use quantum biology, AI to sharpen genome editing tool

Scientists at Oak Ridge National Laboratory have used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.

CRISPR is a powerful tool for bioengineering, used to modify to improve an organism’s performance or to correct mutations. The CRISPR Cas9 tool relies on a single, unique guide RNA that directs the Cas9 enzyme to bind with and cleave the corresponding targeted site in the genome.

Existing models to computationally predict effective guide RNAs for CRISPR tools were built on data from only a few model species, with weak, inconsistent efficiency when applied to microbes.