shaism

6 ms·

1.
by shaism 1mo ago
According to Boris Cherny from Anthropic [1], the threat of prompt injection has been largely solved. [1]: https://x.com/bcherny/status/2086520950259118464
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by shaism 2mo ago
Awesome. Perfect for editing with agents and sharing with coworkers. - Even works well on mobile. - Embedding images and videos also works flawlessly.
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by shaism 2mo ago
What is your use case? Have you considered moving to open source / Chinese models? If gemini-2.5-flash-lite is good enough for your application, you will find even lower cost options with better performance outside of the Google ecosys
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by shaism 2mo ago
I worked in a startup whose value proposition was largely derived from using graph data and graph databases under the hood. The main benefit is, as the repo even states "Fast data processing: Links traversal is processed with O(1) comp
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by shaism 2mo ago
I created a version for personal use a month ago. https://github.com/SharifIsmail/tendril Feel free to give it a try. Agents can also directly interact with it.
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by shaism 2mo ago
It is unfortunate for the employees but it is necessary, and hopefully also a wake up call for other German companies and the government. It’s time for leaner structures, smaller teams, faster decisions, and shorter development cycles. Volk
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by shaism 2mo ago
> A small task that cost 121,000 tokens done directly cost 513,000 tokens when fanned out to two subagents, because every subagent has its own bootstrap cost, and the parent then consumes its transcript. Is that true? My understanding is
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by shaism 2mo ago
Which provider do you use to access the MI300x?
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by shaism 3mo ago
Thanks! There is something magical about those symbolic approaches. But in practice, they seem to often fall short of expectations. Wonder whether there will be another "symbolic AI summer" one day.
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by shaism 3mo ago
Thanks for sharing!
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by shaism 3mo ago
I see. Cool. So did you generate the inference / reasoning rules to map those 500k events to 40 by hand or are there solutions to automatically discover those rules based on past incidences?
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by shaism 3mo ago
What would be a good use case for this?
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by shaism 3mo ago
"Halle is in the state of Saxony-Anhalt, which has an election in September. The far-right anti-immigrant Alternative für Deutschland (AfD), which is leading the polls with about 42%, has seized on the row." That is the important
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by shaism 3mo ago
Yeah. Agree. The workload changes towards more orchestrating, editing, and reviewing rather than writing. I see the same for slide decks. The bar has changed. Expectations are higher, but the high quality decks are still heavily edited, rev
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by shaism 3mo ago
Based on your message, I assume you are and want to stay in software engineering. Having worked in regulated and very sensitive industries (banking and semiconductor), I can tell you adoption is slower but AI is still everywhere. Because th
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by shaism 10mo ago
Ilya mentioned in the video that 2012 and 2020 was the “Age of Research”, followed by the “Age of Scaling” from 2020 to 2025. Now, we are about to reenter the “Age of Research”.
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by shaism 1y ago
How do I get stuff from my “onesmartphone” to the “onecomputer”? Or shall I also put the “onesmartphone” in the cupboard?
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by shaism 1y ago
Do you mind elaborating? I agree that weather data should be public but I don’t see why we should restrict innovation in the private market if there is demand for it. Also more generally, I see no issue in the government outsourcing work to
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by shaism 1y ago
Very cool. I implemented something similar for personal use before. At that time, LLMs weren't as proficient in coding as they are today. Nowadays, the decorator approach might even go further and not just wrap LLM calls but also write
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by shaism 2y ago
The answer almost certainly is no. While lithography is one of the largest single contributor to manufacturing costs, the contribution to overall cost is still far below 10%. And one cannot simply substitute an optical lithography with a na
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by shaism 2y ago
Maybe the market hasn’t recognized the value yet. Hence, buy $GOOG.
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by shaism 2y ago
Given your requirements, I would rank the frameworks like this: * SEO -> 1. Astro, 2. Remix, 3. NextJS * Performant Pages (for SEO) -> 1. Astro, 2. Remix, 3. NextJS * Easy to Maintain (for a small team) -> 1. Astro, 2. Remix, 3. Ne
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by shaism 2y ago
Actually that is how it works in many companies in Germany. It has its benefits and drawbacks, like every system ;)
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by shaism 2y ago
Because for most users the costs of getting used to a new OS outweigh the benefit of switching.
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by shaism 2y ago
TSMC today has more than 60% of the foundry market share, and an estimated 80%+ market share for the leading edge. If you exclude Intel themselves (although they also use TSMC now) and Samsung, TSMC is pretty much the sole supplier to the l
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by shaism 2y ago
Devils Advocate: If there is no disruption in Taiwan, and TSMC continues to execute as it has, and Intel continues to execute as is has (not), then Intel might go to $0 or survive only because of government subsidies and military contracts.
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by shaism 2y ago
I am working in search (not Google). My take: Today, using AI for search-related problems is still not cost-effective for most use cases. That being said, the landscape is evolving quickly. First, in some areas, an individual search creates
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by shaism 2y ago
I am not sure. While Intel still has a dominant market share in personal compute, it’s data center market share has been shrinking for years and Intel doesn’t have a convincing story why that would change. The main issue I see for Intel is
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by shaism 2y ago
Sure, there are limits. Not everything is predictable, not even physics. But that is also not the point of such a model. The goal is to forecast across a broad range of use cases that do have underlying laws. Similar to LLM, they could also
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by shaism 2y ago
Fundamentally, the pre-trained model would need to learn a "world model" to predict well in distinct domains. This should be possible not regarding compute requirements and the exact architecture. After all, the physical world (do

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