@flo_lissy_show: Find the item 🤯🤣 #challenge #boardgame #game #insane #skill

The Flo & Lissy Show
The Flo & Lissy Show
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Region: GB
Friday 22 May 2026 09:29:06 GMT
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debby.mawi
@Debby_67girl🌸 :
Flo is cheating the younger one is winner Flo keep going after the bell ring😭
2026-05-22 13:38:12
186
im_back776
💫dizzy :
flo cheated?
2026-05-22 11:05:20
51
the_lissy_show
The Lissy Show :
Silly game anyway! 😂
2026-05-22 14:38:20
9
emmie02781
￴￴ ￴ ￴ ￴ ￶ ￶ ￶ ￶ ￶ ￶ ￶ ￶ ￶ ￶ :
How come flo got to do it 2 times in a row
2026-06-16 15:06:13
8
kenzleigh.spammmm
Kenzleigh :
Can you guys do more of these? They’re so fun to watch.
2026-05-22 17:38:04
5
sna_199
S ✌🏻 :
thus so easy
2026-05-22 11:36:18
13
h01ly39
hollyyy :
@banana_chickenleg: can yall do some like water related ones. the one where there is a water balloon above u have have to race and say something with the letter someone says
2026-05-29 12:57:27
0
1idk.scarlett
✧ 𝓢𝓬𝓪𝓻𝓵𝓮𝓽𝓽 ✧ :
Firsttt
2026-05-22 09:31:54
1
ellastrain0xx
🎀ELLA🎀 :
2026-05-22 09:33:14
26
priv.spamz12
𝐩𝐫𝐢𝐯𝐬𝐩𝐚𝐦𝐳😚🫶🏼😝 :
first
2026-05-22 09:33:40
1
remakingsquishys
coral&eden🤍remaking squishys :
Firstttt
2026-05-22 09:31:10
1
skate_with_jillie
Artwithjxlle :
flo....
2026-06-05 16:35:48
0
banana_chickenleg
banana_chickenleg :
can yall do some like water related ones. the one where there is a water balloon above u have have to race and say something with the letter someone says
2026-05-24 01:14:29
10
ellastrain0xx
🎀ELLA🎀 :
I was the first like 👍!!
2026-05-22 09:33:07
1
lillyplayzzz21
lillyplayzz :
the older one is cheating
2026-05-23 14:25:54
18
monyroth_33
M.nyroth :
Flo cheattt!
2026-05-23 09:50:52
14
flaya384
✩░▒▓▆▅▃▂▁Flaya▁▂▃▅▆▓▒░✩ :
you guys sound like bluey and bingo
2026-06-06 15:30:41
0
betsndsophdances
Sophnbets spam :
😂😂
2026-05-22 09:32:54
0
gnaydnyanko
günaydınYanko :
😁😁😁
2026-05-26 13:49:52
0
fn_rlplays
TIKTOK CUFC :
@
2026-05-28 23:52:03
0
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AWS's Strands Labs just open-sourced Strands Decider 2B, and it's a different kind of model. It doesn't write text. You give it some text, a question and a list of options, and it picks one, answers yes or no, or scores on a scale, with a confidence on every answer. It can never answer outside your list. Under the hood it's Qwen3.5-2B-Base with the language-model head removed and a pointer head of about a million parameters in its place. 1.9B parameters in total, one forward pass, no decoding loop. On JevBench's public set it gets 72.3% (167 of 231 tasks), 3rd of 33 models in the 2B class, and 100% of the easy tasks. The two models above it are inside the retrain noise the team itself flags, and overall it ranks 50th of 89, behind much bigger reasoning models. Speed is the point: a median 115 ms per question on an RTX 3090 and 153 ms on an M3 Pro Mac, in the team's own tests. On short tasks it had never seen, answers at 0.9 confidence or more were right about 95% of the time. Where I'd use it: tool selection, model routing, triage, guardrails and cheap evals inside an agent. Where I wouldn't: coding, chat or summaries. It can't do them. It's Apache 2.0, with the weights on Hugging Face and all the training data and scripts on GitHub. The full recipe retrains in about 11 hours on one RTX 3090. No hosted AWS API was announced. Sources: strandsagents.com/blog/introducing-strands-decider and github.com/strands-labs/strands-decider Independent briefing by CodenamePoshan, not a Strands or AWS post. #AWS #AIAgents #OpenSource #MachineLearning #AIEngineering #DeveloperTools
AWS's Strands Labs just open-sourced Strands Decider 2B, and it's a different kind of model. It doesn't write text. You give it some text, a question and a list of options, and it picks one, answers yes or no, or scores on a scale, with a confidence on every answer. It can never answer outside your list. Under the hood it's Qwen3.5-2B-Base with the language-model head removed and a pointer head of about a million parameters in its place. 1.9B parameters in total, one forward pass, no decoding loop. On JevBench's public set it gets 72.3% (167 of 231 tasks), 3rd of 33 models in the 2B class, and 100% of the easy tasks. The two models above it are inside the retrain noise the team itself flags, and overall it ranks 50th of 89, behind much bigger reasoning models. Speed is the point: a median 115 ms per question on an RTX 3090 and 153 ms on an M3 Pro Mac, in the team's own tests. On short tasks it had never seen, answers at 0.9 confidence or more were right about 95% of the time. Where I'd use it: tool selection, model routing, triage, guardrails and cheap evals inside an agent. Where I wouldn't: coding, chat or summaries. It can't do them. It's Apache 2.0, with the weights on Hugging Face and all the training data and scripts on GitHub. The full recipe retrains in about 11 hours on one RTX 3090. No hosted AWS API was announced. Sources: strandsagents.com/blog/introducing-strands-decider and github.com/strands-labs/strands-decider Independent briefing by CodenamePoshan, not a Strands or AWS post. #AWS #AIAgents #OpenSource #MachineLearning #AIEngineering #DeveloperTools

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