Distractosphere

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Distractosphere

Distractosphere

@Distractosphere

what a time to be alive

Null Island Katılım Ağustos 2015
452 Takip Edilen150 Takipçiler
Distractosphere
Distractosphere@Distractosphere·
@fmontes did they really used U.S. Institution for the sake of their promotion? What a mess.
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Freddy Montes
Freddy Montes@fmontes·
Cuando decide el mercado y no la empresa: 1. Mython es muy peligroso no lo podemos sacar 2. OpenAI asoma Sol 3. Creamos Fable y es "mas seguro" para ustedes 4. Usen Fable por 1 semana, luego paguen 5. OpenAI lanza Sol 2.5x mas barato 6. Usen Fable por 1 semana mas, luego paguen 7. Sale Kimi K3 muuuucho mas barato 8. Fable viene en tu plan
Claude@claudeai

Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits. Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit. Demand for Fable has been challenging to predict, which is why we rolled it out to subscription plans in stages, extending access several times as we secured additional capacity.

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Christian Elton
Christian Elton@christianelton_·
Is someone building the “Airbnb for inference”? My mac, my Xbox, my phone all sit idle for 8 hrs a day. Is the marginal GPU increase too small? Or are the security risks too high to pull it off?
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Jun Song
Jun Song@jun_song·
What people call "illegal distillation": Paying proper API fees to use an AI, asking it a massive set of questions, and then combining the answers into a structured dataset. Am I the only one who fails to see anything wrong with this?
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Distractosphere
Distractosphere@Distractosphere·
What happened to Sakana AI’s FUGU model? No one seems to be comparing it to anything. Bro disappeared like it never even existed.
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Distractosphere
Distractosphere@Distractosphere·
@trq212 kimi k3? what kind of heroic effort it is. are they going to pay with their salary?
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Vic 🌮
Vic 🌮@VicVijayakumar·
Honestly interested in knowing what datatype they are using to represent these numbers.
Mike Julian@mikejulian

@astuyve $29.5 quadrillion for one of our customers

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Jay
Jay@jayair·
why would you joke about this??
Jay tweet media
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Lucas Meijer
Lucas Meijer@lucasmeijer·
Where do you get your Kimi k3? Openrouter one is not working.
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Command Code
Command Code@CommandCodeAI·
Kimi K3 is live and supported in Command Code. Have you tried it?
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Leon Lin
Leon Lin@LexnLin·
Kimi K3 is a REALLY good model at frontend and 3d It has great taste (better than other models, still a lot to do to get to human taste level) BUT it is reaaally slow + the cheaper subscriptions are not really usable for coding. I'm on the $20 plan and literally 1.5prompts for a website used up my whole 5h limit which is 20% of weekly. Otherwise this is a massive launch and will be a great open weights model :)
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amrit
amrit@amritwt·
Deepseek fell off or something
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Peter Gostev
Peter Gostev@petergostev·
Let me show you how to run Kimi-K3 locally, right from your own house
Peter Gostev tweet media
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Elon Musk
Elon Musk@elonmusk·
Try Grok
thehype.@thehypedotnews

kimi k3 vs gpt 5.6 sol vs fable 5 vs grok 4.5 @Kimi_Moonshot just dropped kimi k3 – a 2.8t param native multimodal model, the first open 3t-class release. key facts: • 1m token context. stable latentmoe activating 16 of 896 experts, built on kimi delta attention (kda) and attention residuals • quantization-aware training from the sft stage onward – mxfp4 weights, mxfp8 activations. moonshot claims ~2.5x scaling efficiency over k2 • max thinking effort by default. low- and high-effort modes are "coming in updates" – there is no way to turn the thinking down today, and you feel it in every run • pricing: $0.30/mtok cache-hit input, $3.00/mtok cache-miss, $15.00/mtok output. claims >90% cache hit rate on coding workloads • benchmarks: swe marathon 42.0 (1st – fable 5: 35.0, sol: 39.0, opus 4.8: 40.0), terminal bench 2.1 88.3, browsecomp 91.2 (1st), program bench 77.8 (1st), gpqa-diamond 93.5. loses frontierswe 81.2 vs fable's 86.6, and deepswe 67.5 vs sol's 73.0 our test – 3 prompts, single-file html, @threejs, fully procedural, no assets: 1. photorealistic european roulette wheel – 37 pockets in the real sequence, mahogany clearcoat bowl, chrome turret, diamond deflectors, flick-to-spin, ball that spirals inward and settles on a mathematically real number 2. las vegas slot machine – 3 reels behind transmissive glass, drag the chrome lever to play, mechanical odometer counters modelled in 3d, coin physics on win 3. full pinball table – 6.5° tilted playfield, flipper impulse physics, spline ramps, drop targets, 6 bumpers, mechanical score reels in the backbox we ran the test on @aimlapi platform results: - cost #1 grok 4.5 – $0.30 #2 kimi k3 – $0.71 #3 gpt 5.6 sol – $2.05 #4 fable 5 – $7.69 - tokens #1 grok 4.5 – 34,241 #2 gpt 5.6 sol – 51,748 #3 fable 5 – 144,126 #4 kimi k3 – 157,999 - lines of code #1 gpt 5.6 sol – 3,054 #2 grok 4.5 – 3,047 #3 kimi k3 – 2,255 #4 fable 5 – 1,950 - generation time #1 grok 4.5 – 5.1 min #2 gpt 5.6 sol – 22.0 min #3 fable 5 – 31.5 min #4 kimi k3 – 75.6 min observations: • kimi k3 is cheap and it is slow. 75.6 minutes across three prompts against grok's 5.1. it is 2.4x grok's price and 15x grok's wall clock. the roulette took 15 min, the slot 18, the pinball 42 • it failed 2 of 3. only the roulette works. the slot machine has reel cutouts on both faces of the cabinet and the symbols face backwards – you can only read your spin by walking around to the rear of the machine. the pinball table stands vertically on its edge with the legs floating detached beside it. • 81% of kimi's output tokens are reasoning, not code. grok: 22%. you are not paying for a bigger answer, you are paying for a longer argument with itself • price per 100 shipped lines – grok $0.010, kimi $0.031, sol $0.067, fable $0.394. a 39x spread for the same three files kimi k3's code quality: upsides: • the roulette is genuinely good – procedural wood grain with real specular breakup, correct european sequence (0-32-15-19-4...), chrome turret, diamond deflectors, clean console • the pinball artwork is the best in the test – a synthwave "nova strike / deep space" field with six individually coloured neon bumper rings, a retro sun on a grid horizon, a nova burst, and a scoring legend printed on the apron. no other model printed the rules on the machine. it is a beautiful texture on a broken object • physics reasoning is real – it derived a 480hz substep for the collider, worked out ball settle conditions and termination guarantees, and checked every ramp exit vector by hand before writing any of it • it is the only model that saw the importmap trap coming. sol shipped a blank white page twice because three.js addons import the bare specifier 'three' and die without an import map downsides: • it dodged that trap on the slot by loading three.js r128 through classic script tags – a 2021 build with no working transmission. its slot glass rendered fully opaque and buried all three reels behind a white pane. the code asks for transmission: 0.93, ior: 1.5 – correct, and silently ignored by a renderer that predates the feature • after 42 minutes and 212k characters of reasoning, the pinball cabinet is not assembled. the table stands vertically on its edge like a wardrobe – the prompt asked for 6.5° from horizontal, it delivered 90°. the legs float detached in the void beside it. head-on it photographs beautifully; orbit ten degrees and it is a painted slab with four chrome rods hovering nearby • the playfield z-fights with the glass – hard black banding across the whole field as soon as you pull the camera back a note on the pinball, in fairness to kimi: nobody passed it. every model shipped broken ball physics and controls you cannot trust. it is the hardest prompt we have run and the whole field failed it, each in its own way kimi k3 reasons better than anything else here and it shows exactly where reasoning pays – physics constants, sequences, edge cases, traps the others walked into follow @thehypedotnews for 24/7 ai news, analysis and breakdowns

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Michael Guo
Michael Guo@Michaelzsguo·
@bakkermichiel where do I start. first, it is big, very big, 2.8T params, nearly double the biggest open source model Deepseek V4 1.6T.
Michael Guo tweet media
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Michiel Bakker
Michiel Bakker@bakkermichiel·
Can someone explain me how the new Kimi can be so insanely good? The story has been "chinese labs have much less compute but they still stay close to the frontier through distillation". These results seem impossible to explain through distillation alone.
Kimi.ai@Kimi_Moonshot

Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost 🔹 Built for long-horizon agentic coding and self-evolving workflows Kimi K3 is now live on on Kimi.com, Kimi Work, Kimi Code, and the Kimi API. Open Weights by July 27, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.com/blog/kimi-k3

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kitze the 🐐
kitze the 🐐@thekitze·
bro 5.6 luna on low thinking is INSANE
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