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bg24
searching PlanetScale…
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31.
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by
bg24
8mo ago
Lot of skepticism about OpenAI's survival. I am a user of both Claude (max) and Codex (plus). Some neutral points. - Anthropic owes to AWS for their enterprise growth. Yes, their own talent as well. - AWS investing for a purpose - solv
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bg24
8mo ago
If Codex 6.0 is better than Opus 4.9, things will flip. While OpenAI has too many common enemies and trying to box them into a consumer company, they are equally enterprise focused. They need to absolutely do well with foundation model - ev
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bg24
8mo ago
Same here. So I have to resort to speaking elsewhere (notes app) and copying/pasting.
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bg24
8mo ago
Would be nice to see an OCI runtime and if it can give high-performant I/O as opposed to other we have today (eg. Gvisor).
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bg24
8mo ago
Need to try OpenCode. Thanks.
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bg24
8mo ago
You are correct :-) I am turned off by the fact that I will hit the limit if I used more. But you gave me confidence. I guess $20 can go a long way. I think only once in the last 3 months I got rate limited in Codex.
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by
bg24
8mo ago
I am on a max subscription for Claude, and hate the fact that OpenAI have not figured out that $20 => $200 is a big jump. Good luck to them. In terms of model, just last night, Codex 5.2 solved a problem for me which other models were go
38.
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bg24
10mo ago
Yes. Also you can have these replicas of Postgres across regions.
39.
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bg24
10mo ago
With a little bit of experience, I realized that it makes sense even for agent to run commands/scripts for deterministic tasks. For example, to find a particular app out of a list of N (can be 100) with a complex filtering crietria, be
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bg24
1y ago
There are one-off things, and then there is exponential improvements - both in guardrails, and ChatGPT's ability to handle these discussions. This type of discussion might be very much possible in ChatGPT in 6-24 months.
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bg24
1y ago
"I don't trust LLMs to do the kind of precise deterministic work" => I think LLM is not doing the precise arithmetic. It is the agent with lots of knowledge (skills) and tools. Precise deterministic work is done by tools (
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bg24
2y ago
Maybe yes. If so, that is great. But then why do we not see any damage to those countries either due to misinformation or any other hacks. On a related note, Snowden incident shows the depth of our ability.
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bg24
2y ago
I find it difficult to comprehend if the billionaires do not know this. That if the Government slowly turns into an oligarchy with their help, the Government will eventually turns against them too. They cannot escape the punishment. Humans
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bg24
2y ago
The amount of incompetence, incomprehensible ideology and red-tape slows everything down. NSA and CIA still look powerful because of huge amount of funds that flow in. Other countries happily hack into our infrastructure. You hardly hear NS
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bg24
2y ago
This is the point. Right tool for the job. Kubernetes was incubated at Google and designed for deployments at scale. Lot of teams are happily using it. But it is definitely not for startups or solo devs, unless you are an expert user alread
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bg24
2y ago
Nice work! I looked at the cheatsheet, and it is not obvious to me how to go through two factor authentication during login.
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bg24
2y ago
I wonder who came up with the $200/month idea, and what was running in their mind. $200/month = $2400/year We (consumers/enterprises) are already accustomed to a baseline price. Their model quality will be caught up or e
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bg24
2y ago
AWS is achieving 2 objectives: 1/ Best-in-class LLM in Bedrock. This could be done w/o the partnership as well. 2/ Evolving Tranium and Inferential as worthy competitors for large scale training and inference. They have thous
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bg24
2y ago
Hope this gets nixed. It might be a relevant case back in 2020, but no longer a valid case now. From the wikipedia case: "The suit alleges that Google has violated the Sherman Antitrust Act of 1890 by illegally monopolizing the search
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bg24
2y ago
Apple realized that 1/OpenAI is no longer the ONLY game in town, and 2/Models != Platform. Maybe, maybe Apple can achieve what they need (Apple Intelligence), while keeping the doors open for multiple models.
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bg24
2y ago
This is the likely scenario. Every conflict at exec level comes with a "messaging" aspect, with there being a comms team, and board to manage that part.
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bg24
2y ago
The key is "Enjoy". There is no substitute to meet people, smiling, happy, no politics, no desire to grow or get a raise. Plus fixed hours and you are not responding to slack/emails/oncalls after that. This is not stress
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bg24
2y ago
People who make the rules are the people in power, not citizens. People win power will always have the bias to do themselves a favor.
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bg24
2y ago
+1 With so much of tooling and products, it should come down to - What am I running and their current security state - Supply chain of any change that's happening - Test/Stage/Rollout any change - do not trust the vendor, as
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bg24
2y ago
1/ Build a community (think Linux for OS, Android for mobile, React for frontend) and figure out monetization later. What is clear to most people is that something fundamental is changing in how we build and consume applications. 2
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bg24
2y ago
Excellent article, sir. Those dealing with illnesses of self/family know well the cost of lost opportunity. Did you miss one important thing? Our homes are a minefield: chemicals, VOC, mold.
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bg24
2y ago
Besides everything said here in comments, Zuck would be actively looking to own the next platform (after desktop/laptop and mobile), and everyone's trying to figure what that would be. He knows well that if competitors have a cash
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bg24
2y ago
I have been using Claude and ChatGPT in parallel for 2 months now. Claude is slow to respond, but I love it. So I will stay on Claude for next 3-6 months for now. I find it unnecessary to pay $40 for both, but not use to the fullest. So my
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bg24
2y ago
Last week, I made the explicit decision to circle through paid subscriptions of various providers every few months, instead of sticking to just ChatGPT. Glad to see Meta.ai on the list, in addition to Claude, Gemini, Mistral and Perplexity.
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bg24
3y ago
"Looking holistically, our end-to-end LLM pretraining pipeline has become nearly 4x more compute-efficient in the past ten months." I did not fully understand the technical details in the training efficiency section, but love this
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