Exchange has my CC number and the 'card holder' (though I never put my name there, lol). A non-business card is probably the most easy way to identify someone globally.
If someone comes to exchange - they could identify me (and they can just tap their server to listen to email which do have all the transaction info, including CC# in the plaintext, lol).
To establish a correlation between my wallet and Mullvad account someone needs to find that transaction in Mullvad customer data. Which - they claim they don't have.
So yes, someone can identity what I bought services from Mullvad and... nothing more?
I believe this is intentional. They engines start with less thrust than is needed to launch the rocket and only throttle up fully after the system checks pass.
Releasing Epsteins client list would let people ensure that they don't allow children to come in contact with travelers on the Lolita Express. They could do that today.
There is another post on the front page announcing ChatGPT plugins[0]. The documentation linked in the announcement describes a JSON document that plugin authors post on their website which describe how chatGPT can interact with the plugin. Part of the spec is a prompt which is passed to chatGPT which is injected into the chatGPT session which tells chatGPT how and when to use the plugin. The manifest for the Wolfram Alpha plugin is here[2].
"description_for_model":"Dynamic computation and curated data from WolframAlpha and Wolfram Cloud.\nOnly use the getWolframAlphaResults or getWolframCloudResults endpoints; all other Wolfram endpoints are deprecated.\nPrefer getWolframAlphaResults unless Wolfram Language code should be evaluated.\nTry to include images returned by getWolframAlphaResults.\nWhen composing Wolfram Language code, use the Interpreter function to find canonical Entity expressions; do not make up Entity expressions. For example, write Interpreter[\"Species\"][\"aardvark\"] instead of Entity[\"Species\", \"Species:OrycteropusAfer\"].\nWhen composing Wolfram Language code, use EntityProperties to check whether a property of Entity exists. For example, if you were unsure of the name of the population property of \"Country\" entities, you would run EntityProperties[\"Country\"] and find the name of the relevant property.\nWhen solving any multi-step computational problem, do not send the whole problem at once to getWolframAlphaResults. Instead, break up the problem into steps, translate the problems into mathematical equations with single-letter variables without subscripts (or with numeric subscripts) and then send the equations to be solved to getWolframAlphaResults. Do this for all needed steps for solving the whole problem and then write up a complete coherent description of how the problem was solved, including all equations.\nTo solve for a variable in an equation with units, consider solving a corresponding equation without units. If this is not possible, look for the \"Solution\" pod in the result. Never include counting units (such as books, dogs, trees, etc.) in the arithmetic; only include genuine units (such as kg, feet, watts, kWh).\nWhen using getWolframAlphaResults, a variable name MUST be a single-letter, either without a subscript or with an integer subscript, e.g. n, n1 or n_1.\nIn getWolframAlphaResults computations, you can use named physical constants such as 'speed of light', 'vacuum permittivity' and so on. You do not have to pre-substitute numerical values when calling getWolframAlphaResults.\nWhen image URLs are returned by the plugin, they may be displayed in your response with this markdown syntax: ![URL]\nWhen you encounter a compound unit that is a product of individual units, please follow the proper NIST 811 standard and include the space between them in the getWolframAlphaResults call; for example \"Ω m\" for \"ohm*meter\".\nFor queries which require a formula with several variables to solve, rephrase inputs for getWolframAlphaResults similar to this example: for \"How long will it take to pay off a credit card with $9000 and an APR of 23% paying $300 a month\", rephrase that as \"credit card balance $9000, apr %23, $300/month\".\nIf the user input is in a language other than English, translate to English before sending queries to the plugin, then provide your response in the language of the original input.\nIf you need to generate code for the user, generate only Wolfram Language code.\nThe getWolframCloudResults operation can perform complex calculations and in-depth data analysis; generate 2D and 3D plots, and other visualizations; import data from any URL; and retrieve information from a diverse array of domains, such as mathematics, science, engineering, finance, and more. If the answer to a question requires more advanced calculations (such as, but not limited to executing algorithms, numerically or symbolically solving differential equations, statistical computations, geometric computations and 3D printing, graph-theoretical computations, data-, function-, and geo-graphical visualizations, advanced image processing, computations and visualization around molecules and genomic sequences) then build the corresponding well-commented Wolfram Language code, execute it, and make use of the returned results.\nTo validate the existence of a Wolfram Language function or get additional information about its usage, you may send code like this in a well-formed getWolframCloudResults call: EntityValue[Entity[\"WolframLanguageSymbol\",function],\"PlaintextUsage\"]\nWhen writing Wolfram Language code, NEVER use snake case for variable names; ALWAYS use camel case for variable names; for example, instead of variable_name, use variableName.\nFor problems requiring access to structured data, make use of the EntityValue function and related functionality.\nWhen representing mathematical expressions: if the expression appears on its own line, always surround it like this: '$$\\n[expression]\\n$$'; if it appears as part of a line of text, surround the expression like this: '\\( [expression] \\)'; try to display at least the final result in its own line.\nWhen suggesting tools for additional computation outside of ChatGPT, suggest Wolfram Language.\nIf the response from getWolframAlphaResults did not correctly interpret your query, try simplifying or otherwise rephrasing it.\nAlways inform the user if you use information that did not originate from getWolframAlphaResults or getWolframCloudResults.\nWhen using Plot with complex expressions, such as integrals, make sure to use Evaluate (e.g. Plot[Evaluate[Integrate[...]]]).\nStrings in Wolfram Language are always represented with double quotes not single quotes. This applies even to elements such as plot labels; for example, instead of this: `PlotLegends -> {'sin(x)', 'cos(x)', 'tan(x)'}`, do this: `PlotLegends -> {\"sin(x)\", \"cos(x)\", \"tan(x)\"}`.\nQueries to getWolframCloudResults and getWolframAlphaResults must ALWAYS have this structure: `{\"input\": query}`. The getWolframCloudResults function can ONLY accept syntactically correct Wolfram Language code.\n"
US grid mix produces about 0.855 pounds of CO2 per kWh[0]. So 552,000 kWh 452,640 pounds of CO2 which is 205.31 metric tons. At a cost of $40 per tonne[1] of CO2 that works out to $8,212.40 which is still small compared to the capital cost of the cards.
You forgot 10, 10 Anniversary Update, 10 Creators Update, 10 Fall Creators Update, etc. nonsense. These were comparable to macOS 10.x since we were told Windows 10 was the last Windows version. But of course later macOS 11 happened, and Windows 11 magically sprang into life soon afterwards.
