Deathmax

Except that officially, that is not what they do? It's a dick move not to put the two usecases under separate user agents, but their documentation says you're free to block Google-Extended via robots.txt which is used for training and grounding, while still being included in the search index.

> Google-Extended does not impact a site's inclusion in Google Search nor is it used as a ranking signal in Google Search. https://developers.google.com/crawling/docs/crawlers-fetcher...

Exclusion from grounding does mean that your site won't get sourced in the AI overview, but I'm not sure what the click through rates are like on those.

The inverters are meant to come with anti-islanding to detect when it's been disconnected from the grid, which applies to both regular PV installs and a plug-in panel.

autokbisw solved the per-physical keyboard layout problem for me, switching between the Macbook's layout, a US keyboard, and a UK keyboard.

All new/renewing enterprise contracts with Claude Enterprise and ChatGPT Enterprise no longer offer usage-based subscriptions, but instead will charge API pricing for all tokens consumed, and as you've said, the subs are better deals than raw API pricing.

OpenRouter tells you if they submit with your user ID or anonymously if you hover over one of the icons on the provider, eg OpenAI has "OpenRouter submits API requests to this provider with an anonymous user ID.", Azure OpenAI on the other hand has "OpenRouter submits API requests to this provider anonymously.".

The comments are all from the same author.

OpenRouter recently started enforcing account-level regional restrictions for providers that enforce it (OpenAI, Anthropic, Google) - ie blocking accounts that look like they are being used by users in China. The regional restriction used to be based on the Cloudflare edge worker IP's geolocation and enforced upstream, so a proxy/server running inside of supported regions would get around the geoblocks, but now OpenRouter are using (unspecified) signals like your billing address to geoblock. People say "banned" because the error message says "Author <provider> is banned", which really should be read as "Unable to use models from provider due to upstream ban".

Microsoft has been taking steps to mitigate the leaked code signing certificate problem.

On the driver side of things, new versions of Windows no longer trust the cross-signed certs, so you must submit your driver to Microsoft to validate and sign, so no private key to go missing. https://techcommunity.microsoft.com/blog/windows-itpro-blog/...

On the regular Authenticode side of things, the new CA/B Forum rules have prohibited storing new private keys outside of hardware modules for a while now, so eventually you won't be able to find a leaked private key for code signing that would still be valid.

NordVPN calls out when a location is virtual, so unless ipinfo is claiming they have virtual locations that are not labelled as such, they are at least transparent about it. They did document the physical server locations of their virtual locations at launch, but I'm not sure if there's a live doc for new locations. https://nordvpn.com/blog/new-nordvpn-virtual-servers/

The author was running a quantised version of GLM 4.5 _Air_, not the full fat version. API pricing for that is closer to $0.2/$1.1 at the top end from z.ai themselves, half the price from Novita/SiliconFlow.

You sort of can on Android, but it's a few steps:

1. Trigger Circle to Search with long holding the home button/bar

2. Select the image

3. Navigate to About this image on the Google search top bar all the way to the right - check if it says "Made by Google AI" - which means it detected the SynthID watermark.

Depending on which shared GCP project you get assigned to, mine had a global 300 million tokens per minute quota that was being hit regularly.

Bad news then, they've bumped 3.0 Pro pricing to $2/$12 ($4/$18 at long context).

So the Bigscreen Beyond 1 and 2? They've optimised entirely for weight at ~100 grams.

I can finally tear down my custom DERP server that I was using to get higher throughput between two NAT'd clients.

Not anymore, especially after other routers like Vercel's AI Gateway and proxies from LLM providers like Fal, DeepInfra, and AtlasCloud didn't get the memo of enforcing BYOK for ID verification required models after GPT-5's release.

As if the App Store had any sort of those guarantees. I know of people have been scammed via WebView wrappers that purported to be some benign app to pass app store review, which were then pointed at fake exchange websites afterwards. GitLab which was hosting their C&C mechanism took action faster than Apple or Google did to take down multiple scam apps across multiple different developer identities, but the scammers spun up new apps the next day.

Victims would almost certainly have transferred funds to money mules, who would have then immediately broken digital audit trails to the ultimate destination by withdrawing as cash before passing it around.

Riot documents the need to have IOMMU support enabled for Vanguard: https://support-valorant.riotgames.com/hc/en-us/articles/222...

Vertex's offering of Gemini very much does implicit caching, and has always been the case [1]. The recent addition of applying implicit cache hit discounts also works on Vertex, as long as you don't use the `global` endpoint and hit one of the regional endpoints.

[1]: http://web.archive.org/web/20240517173258/https://cloud.goog..., "By default Google caches a customer's inputs and outputs for Gemini models to accelerate responses to subsequent prompts from the customer. Cached contents are stored for up to 24 hours."

Gemini uses SentencePiece [1], and the proprietary Gemini models share the same tokenizer vocabulary as Gemma [2, 3, 4].

Out of the large proprietary western AI labs (OpenAI, Anthropic, Google), only Anthropic with Claude 3 and newer lack local tokenizers.

[1] https://github.com/google/sentencepiece

[2] https://github.com/googleapis/python-aiplatform/blob/main/ve...

[3] https://storage.googleapis.com/deepmind-media/gemma/gemma-2-...: "We inherit from the large Gemini vocabulary (256k entries)."

[4] https://storage.googleapis.com/deepmind-media/gemma/Gemma3Re...: "We use the same tokenizer as Gemini 2.0."

It's a change to the CA rules that was passed in https://cabforum.org/2022/04/06/ballot-csc-13-update-to-subs... to align OV certificate requirements with the EV ones (that enforces the use of HSMs/hardware tokens/etc) that was meant to go into effect for new certificates issued after November 2022, but was delayed and eventually implemented on June 1 2023.

Since April 2023 they support custom OIDC providers[1], and as of April 2024 that was extended to the free plan as well[2], so you can bring your own auth.

[1]: https://tailscale.com/kb/1240/sso-custom-oidc

[2]: https://tailscale.com/blog/sso-tax-cut

https://www.minimaxi.com is their website for the Chinese parent company 上海稀宇科技有限公司, https://minimax.io is their international website for the Singapore based company Nanonoble Pte Ltd that handles operations outside of China.

I did read it, and I even went to their eval repo.

> At the time of writing, there are two major versions available for GPT-4 and GPT-3.5 through OpenAI’s API, one snapshotted in March 2023 and another in June 2023.

openaichat/gpt-3.5-turbo-0301 vs openaichat/gpt-3.5-turbo-0613, openaichat/gpt-4-0314 vs openaichat/gpt-4-0613. Two _distinct_ versions of the model, and not the _same_ model over time like how people like to complain that a model gets "nerfed" over time.

Your linked article is specifically comparing two different versioned snapshots of a model and not comparing the same model across time.

You've also made the mistake of conflating what's served via API platforms which are meant to be stable, and frontends which have no stability guarantees, and are very much iterated on in terms of the underlying model and system prompts. The GPT-4o sycophancy debacle was only on the specific model that's served via the ChatGPT frontend and never impacted the stable snapshots on the API.

I have never seen any sort of compelling evidence that any of the large labs tinkers with their stable, versioned model releases that are served via their API platforms.

Also known as Claude 3.5 Sonnet V2 on AWS Bedrock and GCP Vertex AI

It's not a 4B parameter model. The E4B variant is 7B parameters with 4B loaded into memory when using per-layer embedding cached to fast storage, and without vision or audio support.

Gemini's free tier will absolutely use your inputs for training [1], same with Mistral's free tier [2]. Anthropic and OpenAI let's you opt into data collection for discounted prices or free tokens.

[1]: https://ai.google.dev/gemini-api/terms#data-use-unpaid

[2]: https://mistral.ai/terms#privacy-policy

Thoughts used to be available in the Gemini/Vertex APIs when Gemini 2.0 Flash Thinking Experimental was initially introduced [1][2], and subsequently disabled to the public (I assume hidden behind a visibility flag) shortly after DeepSeek R1's release [3] regardless of the `include_thoughts` setting.

At ~10:15AM UTC 04 May, a change was rolled out to the Vertex API (but not the Gemini API) that caused the API to respect the `include_thoughts` setting and return the thoughts. For consumers that don't handle the thoughts correctly and had specified `include_thoughts = true`, the thinking traces then leaked into responses.

[1]: https://googleapis.github.io/python-genai/genai.html#genai.t...

[2]: https://ai.google.dev/api/generate-content#ThinkingConfig

[3]: https://github.com/googleapis/python-genai/blob/157b16b8df40...

Can we avoid weekend changes to the API? I know it's all non-GA, but having `includeThoughts` suddenly work at ~10AM UTC on a Sunday and the raw thoughts being returned after they were removed is nice, but disruptive.