Filament Splicer
Project cancelled, click here to read why
The idea for Filament Splicer was born about a month after our Ultimaker 3D Printer was build. As cool as 3D Printing is, printing in one color is boring.
Users of normal, single head FFF/FDM printers are stuck with single color unless they join filament pieces together to produce one multi-colored string. It is not very complicated but process is quite awkward and you will get fed up very quickly.
If you want to have proper, stable filament join you need to have right temperature on the tip of plastic when you connect pieces together. This is hard to achieve when you use some arbitrary heat source. You either underheat or overheat and burn the plastic. Using print head of your printer is best 'ad-hoc' solution but it leaves quite a mess on it, you cannot print when you splice and plastic which is in the head slowly gets burned while you take time to splice your string.
Then, of course there is issue with forming of the joint, carpet knife and fingers where our favorite tools for that job but it took quite a long time to form each joint.
We have had our share of failed prints due to broken joints / stuck filament and finally decided to create a device which will help to splice filament. Initial idea was to create fully automated unit: you place filament ends on copper block, close it, push the button and viola - you have your joint. That was the theory.... In practice this is impossible because PLA and ABS expand during heat-up and contract during cool down, this results in either no joint at all or bubble-filled mess.
Many headache filled days [Even best PLA is really nasty stuff when you breath it in for a while] later we dropped the idea and went for 'open' model with precisely manufactured grooves which help to quickly heat up, connect and form joints.
Thermal insulation was another challenge, we wanted to allow up to 260c temperature but nothing could properly insulate enclosure from hot copper block for prolonged period of time. Ceramic fiber thermal tape can take that heat but one needs a lot of it and then there is itching... Chinese tape is horrible and even best branded, made in USA [ThermoTec] tape is not flawless. We eventually gave up on ceramic fibre and went with PFTA [Teflon] plates. Since PFTA can be outright poisonous at high temperatures, we decided to use high quality - made in Europe material - this way we are sure that maximum temperature of 235c is well within safety limit.
Availability
Filament splicer can be pre-ordered via our campaign on Indiegogo, it is available as a DIY kit or fully assembled unit.
Open Source
Filament splicer blueprints are released under Creative Commons Attribution-NonCommercial 4.0 International License and can be downloaded from Thingiverse and Youmagine.
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Guatemala has pledged a 40% increase in deportation flights carrying Guatemalans and migrants of other nationalities from the United States, President Bernardo Arevalo announced Wednesday during a press conference with US Secretary of State Marco Rubio.
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Guatemala has also agreed to create a task force for border control and protection along the country’s eastern borders. The force, composed of members of the National Police and army, will be tasked with fighting “all forms of transnational crime,” Arevalo said.
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Arevalo also said that Rubio has voiced his support for developing infrastructure projects in the Central American nation. He added that his government would send a delegation to Washington in the coming weeks to negotiate deals for economic investments in Guatemala – which he said would incentivize Guatemalans to stay in their home country and not migrate to the US.
Arevalo said Guatemala has not had any discussions about receiving criminals from the US as El Salvador’s president has offered. He also insisted his country has not reached a “safe third country” agreement with the United States, which would require migrants who pass through Guatemala to apply for asylum there rather than continuing to the US.
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“AI expends a lot of energy being polite, especially if the user is polite, saying ‘please’ and ‘thank you,’”
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Dauner explained. “But this just makes their responses even longer, expending more energy to generate each word.”
For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all.
Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task.
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If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator.
Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said.
When possible, Luccioni recommends going back to basic sources — online encyclopedias and phone calculators — to accomplish simple tasks.
Why it’s hard to measure AI’s environmental impact
Putting a number on the environmental impact of AI has proved challenging.
The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models.
That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said.
Furthermore, many AI companies don’t share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI’s water consumption.
“You can’t really say AI consumes this much energy or water on average — that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said.
One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.
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