Most people assume it will take years for AI to reshape the job landscape. But tasks that chatbots can do are already vanishing from job postings.
Category: employment
The Right must find out what ‘winning an AI race’ means, how much jobs matter, and who to trust.
Cybersecurity researchers are calling attention to a new Linux cryptojacking campaign that’s targeting publicly accessible Redis servers.
The malicious activity has been codenamed RedisRaider by Datadog Security Labs.
“RedisRaider aggressively scans randomized portions of the IPv4 space and uses legitimate Redis configuration commands to execute malicious cron jobs on vulnerable systems,” security researchers Matt Muir and Frederic Baguelin said.
🤖🦾💰A bot for only $35K! Next year $18K?
“” We’ve reached a tipping point where the technology and cost curves have intersected,” explains Dr. Li Wei, robotics analyst at Beijing Technological Institute. ” A humanoid robot that cost $100,000 last year now sells for under $35,000, with prices expected to halve again by 2026.”
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HUGE AI breakthrough: Absolute Zero Reasoner deep dive. Self-improving AI that learns with no data! #ai #aitools #ainews #llm.
Sources:
https://arxiv.org/abs/2505.03335
https://github.com/LeapLabTHU/Absolut… Thanks to Tavus for sponsoring this video. Try Tavus for free https://tavus.plug.dev/T4AQw5K 0:00 Absolute Zero intro 0:50 Traditional methods of training AI models 4:00 Absolute Zero algorithm 5:01 How Absolute Zero Reasoner works 7:19 Types of training tasks 9:00 How good is Absolute Zero 10:47 Tavus 12:11 Adding Absolute Zero to existing models 13:01 Interesting findings 15:43 Uhoh… 16:50 Ablation study 18:15 More interesting findings Newsletter: https://aisearch.substack.com/ Find AI tools & jobs: https://ai-search.io/ Support: https://ko-fi.com/aisearch Here’s my equipment, in case you’re wondering: Dell Precision 5690: https://www.dell.com/en-us/dt/ai-tech… Nvidia RTX 5,000 Ada https://nvda.ws/3zfqGqS Mouse/Keyboard: ALOGIC Echelon https://bit.ly/alogic-echelon Mic: Shure SM7B https://amzn.to/3DErjt1 Audio interface: Scarlett Solo https://amzn.to/3qELMeu.
Thanks to Tavus for sponsoring this video. Try Tavus for free https://tavus.plug.dev/T4AQw5K
0:00 Absolute Zero intro.
0:50 Traditional methods of training AI models.
4:00 Absolute Zero algorithm.
5:01 How Absolute Zero Reasoner works.
7:19 Types of training tasks.
9:00 How good is Absolute Zero.
10:47 Tavus.
12:11 Adding Absolute Zero to existing models.
13:01 Interesting findings.
15:43 Uhoh…
16:50 Ablation study.
18:15 More interesting findings.
Newsletter: https://aisearch.substack.com/
Find AI tools & jobs: https://ai-search.io/
Support: https://ko-fi.com/aisearch.
Here’s my equipment, in case you’re wondering:
Yes, AI is coming for jobs – 300 million of them, supposedly. But while middle-class professionals are grappling with an automated future, someone still needs to lay the bricks and fix your boiler, writes Zoë Beaty
EPFL researchers have discovered key “units” in large AI models that seem to be important for language, mirroring the brain’s language system. When these specific units were turned off, the models got much worse at language tasks.
Large language models (LLMs) are not just good at understanding and using language, they can also reason or think logically, solve problems and some can even predict the thoughts, beliefs or emotions of people they interact with.
Despite these impressive feats, we still don’t fully understand how LLMs work “under the hood,” particularly when it comes to how different units or modules perform different tasks. So, researchers in the NeuroAI Laboratory, part of both the School of Computer and Communication Sciences (IC) and the School of Life Sciences (SV), and the Natural Language Processing Laboratory (IC), wanted to find out whether LLMs have specialized units or modules that do specific jobs. This is inspired by networks that have been discovered in human brains, such as the Language Network, Multiple Demand Network and Theory of Mind network.
AI will do the thinking, robots will do the doing. What place do humans have in this arrangement – and do tech CEOs care? says Ed Newton-Rex, founder of Fairly Trained