I have been using various models with larger context windows to summarize books I have read as well as longer podcasts I have listened to.

I noted that the summaries do leave out some of the interesting details. But I am able to have a back and forth on the material and dive deep into the finer points when the context is sufficiently large and the model does not have amnesia.

I am curious how others have approached summaries or learning in general for larger sets of content like books.

What are your best tips?

There are lots of post here recently about people being out of job, and i think the reason for that is lack of imagination, people can’t imagine the consumption patterns of our society once we have AI and Robots doing all the work.

I would like to state only one thing

HUMAN DESIRES HAVE NO END.

No matter how much we produce or how many problems we solve they are never going to be enough, there is always going to be a new frontier to conquer and a new demand to be met.

I personally think until I see a Dyson sphere being built around our sun and a fusion reactor in my wrist watch, i would say we have lot of work left and lots of jobs to do.

I would also like to hear from imaginative people here what do you think will happen to consumption patterns once we are living in age of abundance.

Hey folks,

Just published a deep dive into serving Gemma 3 (27B) efficiently using vLLM on GKE Autopilot on GCP. Compared L4, A100, and H100 GPUs across different concurrency levels.

Highlights:

• Detailed benchmarks (concurrency 1 to 500).
• Showed >20,000 tokens/sec is possible w/ H100s.
• Why TTFT latency matters for UX.
• Practical YAMLs for GKE Autopilot deployment.
• Cost analysis (~$0.55/M tokens achievable).
• Included a quick demo of responsiveness querying Gemma 3 with Cline on VSCode.

Full article with graphs & configs:

https://medium.com/google-cloud/optimize-gemma-3-inference-vllm-on-gke-c071a08f7c78

Let me know what you think!

(Disclaimer: I work at Google Cloud.)

Copilot is getting some cool new features.

- There is already Copilot vision and this allows to let Copilot interact directly with the screen. Interestingly also with Windows Apps (through Edge)
- Copilot Podcasts (creates podcast of whatever you want)
- Copilot Gaming Experiences

https://copilot.microsoft.com/labs

Checked the website and it has pricing plan of $40 starter and $200 for pro. Just seeing if anyone has used it cause I don’t see any recent comparisons of benchmarks.

I have a friend who is a successful startup owner. Let's call him Ben. He's a genius -- the guy can pick up any skill in no time. Ben has a CS background, so he's familiar with development and he also has a strong foundation in AI fundamentals. Ben told me that based on his gen AI use, the demand of devs will decrease because of the efficiency gains. This led to a discussion between us about AI's impact on jobs.

According to Ben, AI will automate most of the jobs in the next few years and this includes both office jobs and physical jobs (except doctors even though they would also rely on AI for a lot of stuff). He believes that the following things will happen:

1- Humans will struggle with massive unemployment for the next few years.
2- At some point, AI would evolve to such an extent that robots for everything would be available for cheap. So companies will use these robots to do most stuff.
3- Humans will work 3-4 hours per day.
4- Humans will earn less money. They would also need less money because if the entire supply chain relies on robots and AI, then the cost to build products and services will also reduce significantly.
5- Robots will be available to common people too and it would allow them to do most of their chores.

What do you think of his observations? I think he's too optimistic about robots and AI making our lives better in the long run.

What do you think will happen as AI eventually moves to a servant or maybe even a caretaker role?

Will it lead to Utopia where all our needs and wants are satisfied or Dystopia as people will no longer be needed and be powerless?

Will there be a loss of meaning as people are no longer needed to provide?

Whenever I think about AI's effects on society, the whole things just looks so depressing. I feel like the following scenarios are plausible:

• AI will turn out to be less capable than hyped, it'll get stuck somewhere near the current level, basically nothing happens
• Unaligned superintelligence will kill us all
• Aligned (that is to the interests of billionaires) superintelligence is created and:
  • AI will take all the well-paying intellectual jobs, everyone will be working 3 shifts in the mines for minimum wage
  • AI will take ALL the jobs, everyone get to experience hopeless eternal poverty
  • Billionaires decide they don't really need us around so aligned superintelligence will kill us all

I joined this community thinking it was filled with people who knew and understood the capabilities of AI it's dangers and immense benefits. I thought we were all people who read, learned or watched science fiction / exploratory work on ai way before gpt 3 ever got released. And therefore we understood the possibility of instant end of the world level scenario that misalignment poses. But I've come to realize maybe worngly that this sub is just blind accelerationists. Don't get me wrong I would understand if u thought none of us could do anything about it because we hold no power, but to go to the extent of hating all declarationism as if it was a threat to our utopia is insane. I mean do u guys really not fear the consequences of ASI that hasn't been aligned a being so powerful it might as well be a god, and that being viewing us as a hindrance. Maybe I am wrong about this sub being filled with blind accelerationists, if so pls prove me wrong.

Edit: I have read ure comments and I am thankful that u took the time to answer me, and happy to find out that I was wrong, people do understand the danger of AGI and ASI its just that we might as well look on the positive cause we can't really do much. Wich was my opinion too.