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Are you purchasing directly from DeepSeek? Any concerns as far as privacy or data protection?

> Any concerns as far as privacy or data protection?

We moved to OpenCode Go ($10/mo), so we could switch between DeepSeek v4, GLM 5.1, and Qwen 3.7 models run by providers in EU, US, & Singapore that OpenCode FAQ claims don't use retained data for training.

  What about data and privacy?

  The [OpenCode Go] plan is designed primarily for international users, with models hosted in the US, EU, and Singapore for stable global access. Our providers follow a zero-retention policy and do not use your data for model training.
I find their rather verbose privacy policy is not making far-reaching guarantees about any of this though: https://opencode.ai/legal/privacy-policy

> Qwen 3.7 models run by providers in EU, US, & Singapore that OpenCode FAQ claims don't use retained data for training.

Note: Alibaba Cloud is the only company that currently offers Qwen 3.7 models (they haven't released any open weight versions yet), and according to OpenRouter, they retain prompts for an unknown period. So they might not explicitly use your data for training, but they do store it indefinitely on their servers and can potentially[0] use it for all sorts of other purposes.

[0]: Disclaimer: I haven't read their privacy policy. Just pointing out that it's not so simple.


Using OpenRouter, going to migrate to DeepSeek's official API soon. I'm not using it for anything commercial or for private data so I have no privacy qualms.

Makes sense. Privacy is my only real hang up with DeepSeek. Both of the big SOTA providers have become extremely filtered. Things that I could do one version ago are now getting refusals. Anthropic is almost unusable. ChatGPT is slightly better. Even with a "cyber exception" in place and a vetted account. They are going to force me to take my business elsewhere.

GitHub Copilot refuses to do any security testing or proof-of-concepts for exploits. While I understand why, we pay for Enterprise and I’m working on our proprietary code base. It’s incredibly annoying.

I’ve actually had luck taking the analysis from GHCP and pasting it into our M365 Copilot and getting a useful poc to stick into my bug reports.


You can always run deepseek yourself, v4-pro and flash are open weights. It's a little tricky to get the hang of self deploying open weight models but you do fully own your deployment substrate and privacy narrative at that point.

I get mine from bulksupplements. Gummies and many gym focused powders are extremely overpriced. Buying in bulk you should be able to get it for ~$.15 a day at 5g.

Long term studies haven't shown any harm. I've taken 30g a day for well over a year now for both the physical performance and the cognitive benefits. I had brain fog following a bad COVID infection which this has helped with. My family also has a history of Alzheimer's and dementia (both sides), I figure it can't hurt.

The only side effects I've encountered have been mild GI discomfort, and that only rarely (mostly when restarting after a vacation etc-- I drop the routine when I travel). Roughly similar to having a morning coffee at its worst.

I've found I get much thirstier when on this high of a dose. If you're not already a big water drinker I'd definitely invest in a nice insulated bottle to drag around.


30g? That seems like a lot - isn’t the standard dose 5g?

Did you build up incrementally and find that to be the best?


The standard studied dose _is_ 5g, but the common advice you hear in the gym community is that you will see cognitive benefits from 10-20g or more, depending on your body mass. 30g isn’t uncommon. And, many believe that 5g may be too little for optimal muscle gain, again depending on your body mass.

Adverse effects, as mentioned, are mostly GI-related, some people experience bloating especially with monohydrate. Another effect is an increase in water retention, which, in turn, means you need to drink more water. It’s generally regarded as safe for the kidneys unless you already have reduced kidney function.

So, overall, not really a big deal to take well over the studied 5g dose. Not to mention the recommended loading dose is 5g 4x daily.


It is definitely more than the standard dose. I was already taking 5g for weightlifting purposes. After some of the studies suggesting mental benefits I titrated my dose up to 30g (the high end of the studies). Just added an additional 5g per week until I hit 30. I add it in powder form to my daily protein shake-- usually in the morning. While it could be a placebo, I personally feel there's a noticeable difference. I buy in bulk so it ends up being less than $.90 a day to dose at this level. It's an extremely cheap supplement.

Until everyone and their mom starts buying it. Price is about to go up hopefully mot too much!

Uh, what?

I'd say that this is a bit relevant to the entire field of cyber security and a good chunk of development roles. If you're not concerned about how password hashing (which is a key component of understanding cracking) works as developer-- I'm not sure what to say. While not all of the in-depth research is probably needed. It's definitely relevant to many technical fields. I work in offensive security and we use tools like this daily in our industry. And no we are not cyber criminals.


Elon lost his lawsuit with openAI and knows xAI isn't on the same trajectory. Might as well try to win the bet and flip off Sam by supporting the best competition. Also they are getting a head start on AI as a commodity. I'm sure there's plenty of money to be made for those that can leverage their capital to essentially rent capacity right now. If he's not making enough off of grok, might as well cover their expenses.


Playing Omega (roguelike) on ATARI ST, there were food shops that you could buy stacks of fried lizard bites if I remember correctly? Anyways, I found out that if you bought the max amount 99999999, it would actually give you money. Baby's first buffer overflow. The only issue is that it would also put that amount in your inventory, so you were basically too slow to move and had to drop each stack so my towns were littered with stacks of lizard bites. I'm not sure where the bug was introduced and I never found it in the PC versions later on when I looked.


Or a follow up prompt: "find similar classes of bugs". Once the actual case has been layed out finding like bugs isn't too hard. I hear you on the creativity bit. Like any tool, AI can put blinders on. Using it to augment without it fully taking over your workflow is tough.


Not just like any tool though. Interacting with agents can be incredibly boring and frustrating in a way that I personally do not experience with other technology


firewalld supports docker and handles all of its routing/changes. I've standardized on using it in my environment.


No


Two of the three components of LittleSnitch for Linux are open source. The eBPF (kernel portion) and UI are fully open source.


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