Vitor Cepeda Lopes

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Vitor Cepeda Lopes

Vitor Cepeda Lopes

@TheAngryPit

Award-winning director, father & lifelong gamer. Creative Director | Exec Producer | Storyteller Narrative Worlds & Creative Systems Founder @hivemind_agency

Estoril, Portugal Katılım Mayıs 2008
1.9K Takip Edilen603 Takipçiler
Vitor Cepeda Lopes
Vitor Cepeda Lopes@TheAngryPit·
@peduarte I use this to keep strolling around rather than sitting down; it makes everything more dynamic while speaking to a lot of agents
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jason
jason@jxnlco·
I need to get to Lisbon man….
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Vitor Cepeda Lopes
Vitor Cepeda Lopes@TheAngryPit·
I have a good one. When my child needed to give away her pacifier, I created a GPT thread I called “Pacifier Fairy” I gave the thread the mission, GPT chose the fairy name, and I used voice mode as a role-playing call. My child talked with the fairy on the “phone” the hickups or bugs I explained as problems with cell service while the fairy 🧚 flies. To this day, my child still calls the fairy, and especially now with the live voice mode, it is a mind-blowing experience. We even do like sometimes the calls when she is anxious about something, etc. GPT, as the fairy godmother, is a lifesaver. P.S. You need to make Santa voice mode a yearly thing
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Tibo
Tibo@thsottiaux·
I was so inspired reading all the DMs on how folks here use ChatGPT Work. Let’s try something else that will make the team smile. What’s a time you saw ChatGPT have a deeply positive impact on your or someone’s life?
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Vitor Cepeda Lopes
Vitor Cepeda Lopes@TheAngryPit·
@mattpocockuk Matt have you thought about trying Codex? You can even use it with anthropic models if you prefer them. I think you probably would change a bit your vision regarding context windows
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Matt Pocock
Matt Pocock@mattpocockuk·
1m context windows are a nice gimmick But you might be better off sticking to only the first 150K tokens:
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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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Vitor Cepeda Lopes
Vitor Cepeda Lopes@TheAngryPit·
@shadcn And it is kind of a recursive loop in itself. I think we eventually need to make rules for that.
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shadcn
shadcn@shadcn·
I read the replies. Only a few people, I think, are getting the "free" part. Copying has never been free. Yes you take the idea for "free" but to copy it you exchange your time, your effort, your skill. You have to understand it well enough to copy it. It costs something. AI removes most of this. "Create more". You will be copied more. "Create better". Your better will get copied. Create with "taste". Your taste will be copied and fast. So fast that whatever made your creation unique is extracted and mass-produced. It's already happening to software.
shadcn@shadcn

What happens to creativity when AI makes copying effectively free?

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Vitor Cepeda Lopes
Vitor Cepeda Lopes@TheAngryPit·
@alexocheema Amazing Idea, and I would love early access because I am currently deciding what to invest in for my company's infra, and I am sure I will make a better decision with those insights. Keep the good work.
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Alex Cheema
Alex Cheema@alexocheema·
The idea for local dot ai was born at Apple Park. It was built out at NVIDIA HQ using hardware NVIDIA gave us. No strings attached. It’s an independent benchmarking website for Local AI. Some of the most common questions Apple/NVIDIA get from customers: - What AI models can I run locally on my Mac/Spark? - Should I buy a MacBook or Mac Mini or DGX Spark to run AI locally? - Can I cluster machines to increase performance and run bigger models? local dot ai answers all of these questions. We benchmarked 1,000+ unique setups in the most rigorous way we know, end-to-end with real agent harnesses, to capture the performance you will experience as an end user. Every hardware. Every model. Every quantization. Every MTP setting. We mapped it all out into various pareto frontiers, showing the best local AI configurations. All the data, available for free. A resource for everyone. Comment below for early access. We’re rolling out access gradually to make sure we can scale and provide a great service. Sending out access codes for the second batch in a few hours.
Alex Cheema tweet mediaAlex Cheema tweet mediaAlex Cheema tweet media
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Vitor Cepeda Lopes retweetledi
shadcn
shadcn@shadcn·
few weeks ago, Fable 5 was so advanced it needed the gov and had to be taken offline. today, we have access to arguably better models for $20/month. took what? six weeks?
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Vitor Cepeda Lopes
Vitor Cepeda Lopes@TheAngryPit·
@shadcn True and did you see the leak regarding @suno someone from the ShaiHulud crew leaked that they allegedly scrapped everything from youtube to music platforms etc to train the models
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shadcn
shadcn@shadcn·
Not the same. The printing press copies the book. AI copies the creative work. You spend years writing a book. Then within hours (minutes?) of publishing it, AI copies the idea, rewrites and improves parts of it, strips its origin and distributes it worldwide for almost zero cost. Reproducing work vs reproducing value for free. What happens then to the will to create?
Conwic@C0NWIC

@shadcn More books got written after the printing press was invented, not less

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Vitor Cepeda Lopes
Vitor Cepeda Lopes@TheAngryPit·
@thsottiaux @jxnlco For me the perfect option would be 2 options for the users, either opt out of 5 hour limits or custom user limits inside the weekly allocation.
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Tibo
Tibo@thsottiaux·
We've had no 5h limit in Codex plus and pro for a few days. Do you think it is better or are you finding it difficult to manage the usage included in the weekly limit effectively? If we were to make this different, what should it look like in an ideal world?
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Vitor Cepeda Lopes
Vitor Cepeda Lopes@TheAngryPit·
Definitely GPT Realtime in OAuth, and my priority is GPT live on Codex desktop and at GPT work; it would be perfection. Having that differential factor and forcing people to use the internal whisper or pay for a different app to get a suboptimal solution is not good. It's like having a Ferrari but not a license. That would crush all competitors and help everyone, because in the end, others would try to catch up.
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Tibo
Tibo@thsottiaux·
Now that we merged ChatGPT and Codex, what should we merge next? What's the double or nothing move.
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Gavin Nelson
Gavin Nelson@Gavmn·
@TheAngryPit This update includes macOS support! Should show up in your menu bar on the latest OS.
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Gavin Nelson
Gavin Nelson@Gavmn·
GPT-Live, now with Live Activity support
Gavin Nelson tweet media
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