Loose (song)
"Loose" is a song by Therapy? and a single released on 17 July 1995 on A&M Records.[1] The song is featured on the Infernal Love album. The single reached number 25 on the UK Singles Chart,[2] and number 23 on the Irish Singles Chart.[3] A digipak single was released two weeks later on 31 July 1995, reaching number 141 on the UK Singles Chart.
| "Loose" | ||||
|---|---|---|---|---|
| Single by Therapy? | ||||
| Released | 17 July 1995 | |||
| Genre | Rock / Heavy Metal | |||
| Label | A&M | |||
| Songwriter(s) | Andy Cairns | |||
| Producer(s) | Al Clay | |||
| Therapy? singles chronology | ||||
| ||||
The single was released on CD, CD Digipack, Green 7" Vinyl and Cassette.
Track listing
| No. | Title | Length |
|---|---|---|
| 1. | "Loose" | |
| 2. | "Our Love Must Die" | |
| 3. | "Nice Guys" | |
| 4. | "Loose" (Photek Remix) |
Track listing (Digipak CD)
| No. | Title | Length |
|---|---|---|
| 1. | "Loose" | |
| 2. | "Die Laughing" (Live) | |
| 3. | "Nowhere" (Live) | |
| 4. | "Unbeliever" (Live) |
Live tracks recorded in the UK, June 1995.
Personnel
- Andy Cairns: vocals/guitar
- Fyfe Ewing: drums/backing vocals
- Michael McKeegan: bass/backing vocals
- Al Clay: producer
- Dave Porter: engineer, mixer (live tracks)
- Chris Leckie: mixer (live tracks)
- Photek: additional production & remix
- Anton Corbijn: photography
- Jeremy Pearce: design
- Simon Carrington: design
Promo Video
gollark: Also, it really should be capable of searching a few hundred thousand nodes and JS is clearly just being hilariously inefficient, but if I use WASM I could write a better Rust implementation.
gollark: *But* I could probably make it pick positions based on a heuristic to maximize the amount of nearly-lines it has and to minimize the opponent's.
gollark: So the initial simple minimax thing didn't work well because it couldn't search deep trees because combinatorial explosion.
gollark: Which I guess would come under "more computing resources". But anyway.
gollark: Anyway, I *did* have an idea to make the AI work better without substantially more computing resources or accursed neural network™ things.
References
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