Mark Zuckerberg Says AI Could Soon Do The Work Of Meta's Midlevel Engineers
Meta CEO Mark Zuckerberg says the work of midlevel software engineers can soon be outsourced to Artificial Intelligence
This year coding might go from one of the most sought-after skills on the job market to one that can be fully automated. Mark Zuckerberg said that Meta and some of the biggest companies in the tech industry are already working toward this on an episode of the Joe Rogan Experience on Friday.
"Probably in 2025, we at Meta, as well as the other companies that are basically working on this, are going to have an AI that can effectively be a sort of midlevel engineer that you have at your company that can write code."
It may initially be an expensive endeavor, but Zuckerberg said Meta will reach the point where all of the code in its apps and the AI it generates will also be done by AI. According to a salary tracking site, midlevel software engineers at the company now earn close to mid-six figures in total compensation.
More about AI replacing dev’s in Zuckerberg's interview with Rogan
El Capitan: The World’s Fastest Supercomputer Is Revolutionizing National Security And Science
Newly deployed at Lawrence Livermore National Laboratory, El Capitan — the National Nuclear Security Administration’s (NNSA) first exascale supercomputer, is setting new benchmarks in computing power.
At 2.79 exaFLOPs (2.79 quintillion calculations per second) of peak performance — a processing power equivalent to one million top-of-the-line smartphones all working at once — El Capitan’s unprecedented capabilities are already impacting scientific computing and making the previously unimaginable a reality.
Built by Hewlett Packard Enterprise and featuring AMD’s cutting-edge MI300A Instinct Accelerated Processing Units (APUs), El Capitan supports the NNSA’s mission of ensuring the safety, security and reliability of the U.S. nuclear stockpile.
Performing complex modeling and simulation of nuclear explosions in high-resolution, ultra-realistic 3D, jobs that once took days or weeks to run on supercomputers built just a few years ago can now be completed in a single workday, or even a matter of hours.
Beyond national security, El Capitan and its unclassified companion system, Tuolumne, will drive groundbreaking research in materials science, high energy density physics, space science, advanced manufacturing, drug discovery, climate modeling and more.
Bruce Burke Participating In Forbes Entrepreneur Of Impact Competition
Exciting News! I have been selected to participate in the Entrepreneur of Impact competition. One visionary winner will be featured in Forbes, receive $25,000, and have a one-on-one mentoring session with the Shark Tank's Daymond John.
I'm proposing building an AI-powered, fully automated news and information organization that creates news articles, videos, podcasts, deep dives, special reports, white papers and more focused on the ever-expanding world of AI.
Voting opens on the 20th, I would appreciate your vote and will be posting again when voting starts. I have setup my profile that outlines my proposal linked above.
Researchers Open Source Sky-T1, A 'Reasoning' AI Model That Can Be Trained For Less Than $450 Dollars!
So-called reasoning AI models are becoming easier — and cheaper — to develop.
On Friday, NovaSky, a team of researchers based out of UC Berkeley’s Sky Computing Lab, released Sky-T1-32B-Preview, a reasoning model that’s competitive with an earlier version of OpenAI’s o1 on a number of key benchmarks. Sky-T1 appears to be the first truly open source reasoning model in the sense that it can be replicated from scratch; the team released the data set they used to train it as well as the necessary training code.
“Remarkably, Sky-T1-32B-Preview was trained for less than $450,” the team wrote in a blog post, “demonstrating that it is possible to replicate high-level reasoning capabilities affordably and efficiently.”
$450 might not sound that affordable. But it wasn’t long ago that the price tag for training a model with comparable performance often ranged in the millions of dollars. Synthetic training data, or training data generated by other models, has helped drive costs down. Palmyra X 004, a model recently released by AI company Writer, trained almost entirely on synthetic data, reportedly cost just $700,000 to develop.
More on open-source Sky-T1 Reasoning AI model on Tech Crunch
François Chollet On OpenAI o-Models And ARC | Machine Learning Street Talk
François Chollet discusses the outcomes of the ARC-AGI (Abstraction and Reasoning Corpus) Prize competition in 2024, where accuracy rose from 33% to 55.5% on a private evaluation set. They explore two core solution paradigms—program synthesis (induction) and direct prediction ("transduction")—and how successful solutions combine both.
Chollet emphasizes that human-like reasoning requires both fuzzy pattern matching (deep learning) and discrete, step-by-step symbolic processes. He also reveals his departure from Google to establish a new research lab focused on program synthesis, and provides insights into the next-generation ARC-2 benchmark.
Moving On IT | Your Authorized Partner for IT, AI and Cybersecurity
I’ve partnered with Moving On IT, In today's increasingly complex digital landscape, safeguarding your business from cyber threats is paramount.
At Moving On IT, they're committed to providing robust cybersecurity solutions that protect your sensitive data, systems, and reputation.
Moving On IT provides comprehensive cyber-liability insurance to protect your assets.
Cyber-Liability Insurance: Mitigating the financial risks associated with data breaches and cyberattacks. Moving On IT’s partnership with a leading cyber-liability insurance provider ensures comprehensive coverage tailored to your specific needs.
By combining cutting-edge technology with expert guidance, Moving On IT empowers businesses to navigate the ever-evolving threat landscape with confidence.
Nvidia's AI Empire: A Look At Its Top Early-Stage Startup Investments
Over the last two years, Nvidia has used its ballooning fortunes to invest in over 80 AI startups. Here are the giant semiconductor's largest investments.
No company has capitalized on the AI revolution more dramatically than Nvidia. Its revenue, profitability, and cash reserves have skyrocketed since the introduction of ChatGPT a little over two years ago — and the many competitive generative AI services that have launched since. And its stock price soared more than eightfold.
During that period, the world’s leading high-performance GPU maker has used its ballooning fortunes to significantly increase investments in all sorts of startups but particularly in AI startups.
The chip giant ramped up its venture capital activity in 2024, participating in 49 funding rounds for AI companies, a sharp increase from 34 in 2023, according to PitchBook data. It’s a dramatic surge in investment compared to the previous four years combined, during which Nvidia funded only 38 AI deals. Nvidia has stated that the goal of its corporate investing is to expand the AI ecosystem by backing startups it considers to be “game changers and market makers.”
Of course, Nvidia is not the only large tech corporation writing checks to AI startups. But over the last two years, it was the most active. Compared to Nvidia’s 83 deals in two years (2023 and 2024), Alphabet participated in 73, while Microsoft has done 40 rounds, PitchBook data shows.
Below is a list of startups that raised rounds exceeding $100 million over the past two years where Nvidia is a named participant, organized from the highest amount to lowest raised in the round.
Starting with the billion-dollar-round club of NVIDIA’s investments
AI’s Oppenheimer Moment: The Ethics Of Technology | Nadia Lee | TEDxSydney
In this entertaining and important talk, AI ethicist Nadia Lee shares the perils, pitfalls and opportunities that swirl around our emerging AI reality. Nadia Lee is an ethical AI advocate and the founder of ThatsMyFace, an AI company which detects key assets and people in malicious content for businesses.
She is the Industry Partner at Reclaim Coalition, one of the largest global coalitions against image-based abuse. She is also a member at the Content Authenticity Initiative, a global alliance led by Adobe and Microsoft to protect digital provenance. She has a background as an AI policy researcher and start-up entrepreneur. Nadia recently appeared on ABC’s Q&A program on the topic of AI.
Logictry’s AI-Driven Platform | Helps Make Smarter Decisions Faster
I’ve partnered with Logictry, an AI platform that helps you make smarter decisions faster. Check out the case study linked below how National Instruments utilized the Logictry platform to enable their sales, as well as external distributors and partners.
If you’d like more information about use cases for the Logictry platform message me.
Starmer’s 50-Point Government Plan For Artificial Intelligence Revealed
New government plan involves training the next generation of AI experts at UK universities, changing immigration rules to bring in AI experts now, revising data mining rules to make the UK more competitive, and building huge data centers.
Keir Starmer has green-lit a plan to use the immigration system to recruit a new wave of artificial intelligence (AI) experts and loosen up data mining regulations to help Britain lead the world in the new technology.
The recruitment of thousands of new AI experts by the government and private sector is part of a 50-point plan to transform Britain with the new technology. It also involves students being pushed on to AI-focused courses to produce thousands of new graduates as ministers plot to build up capacity in the new technology.
The Independent has seen the AI action plan for the UK due to be unveiled next week in which Sir Keir Starmer has warned that the UK will be controlled by foreign powers unless it adopts the new technology across all sectors. The plan includes the government setting up its own public sector AI compute capacity as well as working with the private sector to maximize its benefits.
More on Sir Keir Starmer’s AI action plan on The Independent
The Revolutionary Potential Of AI With MIT CSAIL Professor Manolis Kellis
Have we achieved Artificial General Intelligence? MIT CSAIL Professor Manolis Kellis argues yes. Computers can do nearly every intellectual task that humans are capable of and are rapidly tackling the physical tasks.
What does this mean for the future of AI integration, regulation, and development? Watch the conversation between Professor Kellis and reporter Kara Miller for the CSAIL Alliances Podcast.
Thats all for today, however new advancements, investments, and partnerships are happening as you read this. AI is moving fast, subscribe today to stay informed.