Joined January 2019
129 Photos and videos
Antidote retweeted
The largest USDC transfer in history. ~$4.4B sent to the Coinbase Hyperliquid deployer.
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Dear Codex I will send you my API key. It is going to happen. Just live with it. We are not working on nuclear infrastructure here bro.
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This is seriously impressive. Even though games still look somewhat crude. This is the worst they will look.
Meet Higgsfield Games. For the first time, build and deploy multiplayer games from one prompt, in any genre, 2D or 3D, with best-in-class characters, props, and settings generated by Higgsfield MCP. Powered by Claude Fable 5. Try on Claude via MCP and on our Supercomputer.
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Increasingly, model intelligence will be less relevant. The benchmark will be intelligence by censorship. What is the point of a more intelligent model, if it allows you to do less than one that is slightly less intelligent.
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Antidote retweeted
Jun 11
X having native money and trading functionality in the next 12-18 months feels underrated.
We heard you guys like charts, so we made them bigger. Introducing Big Charts Embed them into your posts with Cashtags—and just tap on your chart to expand it before posting. Available on iOS and web. $TSLA
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With Fable I would say @AnthropicAI has the best models @OpenAI has the best tools @GoogleDeepMind has the best distribution (particularly with Apple)
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Antidote retweeted
Robotics is the next AI frontier
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The predicted scaling wall theory will probably end being one of the worst prediction in tech history
The longer you let a model run, the better it performs We don’t know how well these models perform bc we are budget constrained. so every model eval today is understating true model intelligence
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This is hugely bullish. Governments understanding that tech infrastructure not only is not something to demonize, but it is something that should be celebrated to the same extent historic power stations.
The infrastructure we need can be the infrastructure we like, worthy of the communities they serve. Let’s build with taste! 🇬🇧
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The subsidies of AI models are slowly running out, as we see with Fable. Now is the time to get the absolute most out of these models per subscription pricing, as I fear SOTA models will increasingly only be usable via API pricing. Use these models to the fullest now, because the opportunity cost of waiting another month or two is immense.
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Whenever a new major model release happens there is this beautiful explosion of people just trying things out. A lot of it is surely faked - most of these outcomes are not 1 promptes as advertised and also could probably be replicated with older models. But it is still super inspiring to see all these experiments. In hindsight, this period will be considered historic as we inch closer and closer to super intelligence.
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This is surely a precursor to the foldable iphone
New in macOS 27: You can now resize iPhone mirroring to look like an iPad display
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1 But I also think using tokens efficiently will be a skill. There should be be hackathons that limit your token usage. Do X for Y tokens should be treated the same way as doing X in Y time. Employers optimise for time efficient employees, but so far there are little systems in place for tracking for token efficiency on an employee level
Good take My guess is - demand for intelligence is near infinite - but 80% of workloads will be running on 99% cheaper models within 12-18 months - 20% of workloads will still run on latest gen models where IQ maxing is important (scientific breakthroughs, higher level ochestrator agents?) - rough analogy might be what % of macbooks or gaming PCs sold have the maxed out specs for CPU/GPU, prices are falling much faster than Moore's law here though - this leads me to think the limiting factor will be energy and compute, not better models At Coinbase we're working hard on routing prompts to cheaper models where appropriate, and in some cases have been able to keep costs roughly flat, while token usage continues to grow exponentially.
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Used codex to create this rotatable 3D scene that leverages point clouds for a project I have been working on. Used depth anything video AI model ( @fal hosts the model) to create a depth map from the original 2D video source. Came out quite neat.
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There is no right or wrong answer regarding what is the correct amount of work that will make you successful. Outworking your competition is definitely a strategy. But that won't lead you anywhere if the vector is not correct. On the flipside, if your angle is unique, you don't need to grind 24/7 to succeed. It is, however, hard to compete with those that have both the right angle and also work hard.
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You can work 5 days a week and succeed as a startup. Mercury has done that from day 0 and we are valued @ $5.2bn 7 years after launch. I have been an entrepreneur for 20 years and raised 3 kids while doing it. The point of success is to have a great life not just a startup 😊
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Nothing beats building something you are proud of.
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Amazing initiative by my VC alma mater @balderton
The founders of over 100 European startups have come together to get more people to build and join startups in Europe. The campaign, named "Built in Europe", is an out-of-home and digital advertising campaign across five European cities. It features: > @mati of @ElevenLabs > @NStoronsky of @Revolut > @antonosika of @Lovable > @HBO_Sweden of @lassie_co > @vriparbelli of @synthesiaIO > @FredrikHjelm4 of @voitechnology & @Pitdotcom > @Barney_H_Y of @meetcleo And many other great European founders and CEOs. It's been organised by @balderton but features companies and founders from all over Europe. The VC firm has built a website bringing together jobs from 1,000 leading tech startups on a single platform using direct data feeds and API integrations. The overall aim is to get more people building and founding companies here which is AMAZING to see. NICE @surangac, @Jameswise, @robmoff
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The foundations of most successes are built on simple but not easy tasks.
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Luxury isn’t supposed to be good value. The whole point is that it is exuberant and over the top beyond rationale. The luxury buyer doesn’t care about value. They want the best and are willing to pay disproportionally more for it. Think luxury hotels have become too expensive? You have been priced out. (This comes from a Marriott business traveller)
Agreed, and I can prove that luxury hotels are mathematically literally very bad value For the amount of "more" money you pay for this luxury, you should be getting way way way more than you actually get (as measured by ratings) Aman should have an average rating of 9.5 but in reality barely hits an 8 on average, so they simply cannot produce the "luxury" experiences they are trying to market and brand themselves for It's essentially all smoke and mirrors, and reflects my experiences completely, you pay 10x more and get either 0.5x-1.5x more (eg many times 2x worse, sometimes a bit better) not 10x better! Other luxury chains are slightly better but none of them even get close to a 9 rating with the famous Ritz-Carlton being especially bad: its average rating is a 7.68 for a median price of $549/night, terrible! Real value can be found with Okura, Minor, Melia and even Marriott. Okura is interesting because well known as luxurious but median only $143/night So as I always say, luxury is mostly a scam, it doesn't exist and you're best off spending much less for much better value (and often better experiences too) Source: my new site stats page hotelist.com/stats
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