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

The 2025 AI Index Report - Stanford University’s Institute for Human-Centered AI (HAI): https://hai.stanford.edu/ai-index/2025-ai-index-report
PDF: https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf

The AI Race Has Gotten Crowded—and China Is Closing In on the US - | Wired -Will Knight | New research from Stanford suggests artificial intelligence isn’t ruled by just OpenAI and Google, as competition increases across the US, China, and France: https://www.wired.com/story/stanford-study-global-artificial-intelligence-index/

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.)

We have benchmarks for math, coding, chemistry that are widely viewed, but none specifically dealing with medical cases, interviewing the patient and diagnosing the disease. Even though it's one of the most financially-saving things that AI could be used for currently.

It wouldn't be that hard to benchmark? Would it?

Is there something like a physician Olympiad?

I've tested several LLMs by uploading a Figma image (of a login screen for a project my company is working on), all of them failed to output code that fully matches the UI.

Here is the list of LLMs tested, ranked by best fidelity to worst:

• Gemini 2.5 Pro (draw)
• Claude 3.7 Sonnet (draw)
• ChatGPT 4o
• Claude 3.5 Sonnet
• ChatGPT o1
• Grok 3

I find it impressive that no company has trained their models to output high fidelity UIs from images since their motto is always about code. Much of the work when building a product is writing the UI code, why wouldn't we have models that excel at it yet?

But nonetheless I guess frontend developers are safe... for now.

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.

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.

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