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noashavit

422 karmajoined 4 ปีที่แล้ว
Early-stage startup marketer and animal lover.

@noashavit on LI, X, and Github.

Submissions

How to get agents into prod at an enterprise

tredence.com
2 points·by noashavit·16 ชั่วโมงที่ผ่านมา·1 comments

When 2+2=5

arstechnica.com
75 points·by noashavit·8 วันที่ผ่านมา·43 comments

Meta to sell excess compute, like SpaceX

techcrunch.com
2 points·by noashavit·9 วันที่ผ่านมา·2 comments

Multiplayer Harness for Agents and Humans

thruwire.ai
2 points·by noashavit·เดือนที่แล้ว·0 comments

Claude Code auto daily /weekly recap notes

github.com
3 points·by noashavit·2 เดือนที่ผ่านมา·1 comments

There are only two paths left for software

a16z.news
6 points·by noashavit·2 เดือนที่ผ่านมา·2 comments

[untitled]

1 points·by noashavit·2 เดือนที่ผ่านมา·0 comments

Agentic AI Security

straiker.ai
3 points·by noashavit·3 เดือนที่ผ่านมา·1 comments

Databricks vs. Snowflake Weekly

claude.ai
2 points·by noashavit·3 เดือนที่ผ่านมา·1 comments

[untitled]

1 points·by noashavit·3 เดือนที่ผ่านมา·0 comments

AI Design Inthe IDE

pencil.dev
2 points·by noashavit·4 เดือนที่ผ่านมา·0 comments

comments

noashavit
·16 ชั่วโมงที่ผ่านมา·discuss
Governance, context and cost management are fundamental. Without these, most ENT agentic deployments are blocked
noashavit
·8 วันที่ผ่านมา·discuss
Interesting how close sonnet 5 comes to opus 4.8
noashavit
·8 วันที่ผ่านมา·discuss
looks super useful- thanks for sharing!
noashavit
·9 วันที่ผ่านมา·discuss
Uber, Microsoft and now Meta. All tokenmaxing to the max on Claude
noashavit
·เดือนที่แล้ว·discuss
The more AI is used the more we crave the human connection
noashavit
·เดือนที่แล้ว·discuss
Local models on consumer electronics are surpassingly good for certain tasks, like summarization and AI overviews
noashavit
·2 เดือนที่ผ่านมา·discuss
It's quite obvious that things are highly subsidized now. What will happen when subscriptions 10x in a year? That's that danger for the enterprise. I don't think the average enterprise will allow users to run local LLMs tbh. Just my POV feel free to tell me that I'm wrong!
noashavit
·2 เดือนที่ผ่านมา·discuss
I don't think we're at an aging horse moment, but a hurt one. One that can run fast sometimes but limps to the finish other times
noashavit
·2 เดือนที่ผ่านมา·discuss
I hear you lose access to Claude Design the minute you cancel you subscription.
noashavit
·2 เดือนที่ผ่านมา·discuss
Wouldn’t GDPR require they opt-in rather than out?
noashavit
·2 เดือนที่ผ่านมา·discuss
Interesting move in to fully managed service by Anthropic.
noashavit
·2 เดือนที่ผ่านมา·discuss
Anyone here remember dos? The og CLI bases OS
noashavit
·2 เดือนที่ผ่านมา·discuss
If I was a lawyer I would worry about auto note takers too. So easy to view something out of context as something totally different from what actually happened. Just my 2 cents
noashavit
·2 เดือนที่ผ่านมา·discuss
Tbh I don’t know if any careers are lifetime these days. Maybe plumbers have job security. GPUs need cooling…
noashavit
·2 เดือนที่ผ่านมา·discuss
I don’t think low quality agentic support is the future. But agentic support with escalation routes to humans makes sense to me.

Support agents are a brand’s first line. It hope they invest is good agentic support to protect their brand. Time will tell I guess.
noashavit
·2 เดือนที่ผ่านมา·discuss
Gitbook gets the job done
noashavit
·2 เดือนที่ผ่านมา·discuss
Gemini for recent search and google workspace automation

Perplexity for deep research

Claude Opus for coding, Sonnet for writing

Gemma4 for local AI overviews and analysis

Qwen coder for local prototyping
noashavit
·2 เดือนที่ผ่านมา·discuss
Lakebase is based on then Neon, that is why it was acquired. These are the performance gains from that underlying tech
noashavit
·2 เดือนที่ผ่านมา·discuss
Gemma4 is a huge improvement and it's fast. Qwen 3.5 really slows down my machine though. LMK if there is a better model to use for the code assist aspect- performance wise
noashavit
·2 เดือนที่ผ่านมา·discuss
Relying on external APIs network failure points and unavoidable latency from the round trips. There is also the AI API rate limits that come into play. We might find that for critical workflows, local compute is the only reliable architecture.