Thread regarding Amazon.com layoffs

Jassy even contradicts Garman: "We will need fewer people doing some of the jobs that are being done today... In the next few years, we expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company."

In other words, you will need fewer people if you have AI replacing junior employees, and just keep the senior employees. i.e. 1x senior employee >= 2x junior employees.

Garman doesn't understand reality! Junior employees cling to vibe coding, pass it off as their work. They foolishly assume that "their" code is working properly and follows best practices (after the LLM hallucinates). Senior employees will use vibe coding (when appropriate) PLUS other tools AND use their experienced brains to correct vibe coding mistakes and steer them effectively. Junior employees add more overhead until they actually learn to be senior. You can't replace a Principal Engineer that has 15 years of experience with a junior vibe coder. So replacing a junior employee with AI makes perfect sense - less overhead, less mistakes, much better work output by senior employees that actually know how to code AND use AI (to correct its mistakes).

In a report last month, researchers at Stanford University found "substantial declines in employment for early-career workers'' — ages 22-25 — in fields most exposed to AI. Stanford researchers also found that AI tools by 2024 were able to solve nearly 72% of coding problems, up from just over 4% a year earlier.

@bn+1k6sgbh2d. You seem to not understand LLMs, let alone. Maybe look at LLM benchmarks, MCP services, more specialized AI services. There isn't just one LLM. Think hard. And Google has more superior LLMs.

Artificial general intelligence (AGI) with advanced mathematical reasoning has the potential to unlock new frontiers in science and technology.

We’ve made great progress building AI systems that help mathematicians discover new insights, novel algorithms and answers to open problems. But current AI systems still struggle with solving general math problems because of limitations in reasoning skills and training data.

Today, we present AlphaProof, a new reinforcement-learning based system for formal math reasoning, and AlphaGeometry 2, an improved version of our geometry-solving system. Together, these systems solved four out of six problems from this year’s International Mathematical Olympiad (IMO), achieving the same level as a silver medalist in the competition for the first time.

Breakthrough AI performance solving complex math problems
The IMO is the oldest, largest and most prestigious competition for young mathematicians, held annually since 1959.

Each year, elite pre-college mathematicians train, sometimes for thousands of hours, to solve six exceptionally difficult problems in algebra, combinatorics, geometry and number theory. Many of the winners of the Fields Medal, one of the highest honors for mathematicians, have represented their country at the IMO.

More recently, the annual IMO competition has also become widely recognised as a grand challenge in machine learning and an aspirational benchmark for measuring an AI system’s advanced mathematical reasoning capabilities.

This year, we applied our combined AI system to the competition problems, provided by the IMO organizers. Our solutions were scored according to the IMO’s point-awarding rules by prominent mathematicians Prof Sir Timothy Gowers, an IMO gold medalist and Fields Medal winner, and Dr Joseph Myers, a two-time IMO gold medalist and Chair of the IMO 2024 Problem Selection Committee.

You seem to not understand AI. The LLM have been built from +400 TB of internet web archival information. Think hard. More than half of the information is incorrect or someone’s opinion. Ancient rule when dealing with computers. Garbage in == Garbage out. The great problem is society now believes these AI.
If you search you can find this out.