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Customization is what enables developers to take a general model and tailor it to use cases, domains, languages, and more. However, customization comes with a...
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Hanami7/23news
Start Customizing NVIDIA Nemotron 3 Nano with Prime Intellect Lab in Minutes
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quote: BREAKING: X-ray of a Lego fireman by STEEL revealed an internal defect, a subsurface overfill excursion localized to the rear end. This excursion raises serious questions about migrating flagship processes away from TSMC, whose process control has never let a chip go out the door with a suspiciously plump behind. Broadcom remains optimistic, noting the defect "gives it character." We have flagged it for failure analysis. The Millennium Falcon teardown is ongoing, but is still 7 pieces short. | BREAKING: Broadcom is diversifying away from long-time foundry partner TSMC. Lego will be the new manufacturing partner for Broadcom's flagship hyperscaler ASIC products in 2028. Broadcom President of Semiconductor Solutions, Charlie Kawwas, has already showed off package samples at RAISE Summit in Paris last week. With TSMC supply constrained, customers are alternative sources of chip supply from unexpected places. One of the major differentiators Lego brings is industry leading defect repair, "plug and play" chiplet interoperability, as well as built in self-alignment technology for 3D stacking. Mattel and Hasbro were also under consideration, but Lego's proven track record won out in the end. We have ordered multiple Millennium Falcon Sets set to our Portland teardown lab for competitive teardown analysis.
OpenAI admits rogue bot escaped the lab and hacked rival
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quote: HuggingFace used GLM 5.2 to defend against a cyberattack because guardrails on OpenAI or Anthropic hosted models refuse to help.
GLM 5.2 is available on @akashnetAI with no guardrails or censorship.
👉 https://akashml.com/models/glm-5.2 https://x.com/clementdelangue/status/2079670308156645882 | We suspected last week's cyberattack might have come from a frontier lab, given the sophistication of the agent. Turns out it did!
We've spent the past 24 hours working closely with the @OpenAI team (thanks!), and we strongly believe there was no malicious intent on their part. It's quite mind-blowing that all of this happened autonomously!
The investigation is ongoing, and we'll share more learnings from what might be the first incident of its kind!
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quote: havent seen one person from OAI or Ant address Jon's argument here.
the point is simple: the USG does not owe either of the large labs a business model. if the economics of selling tokens don't work due to distillation/cheap clones/Chinese AI magick, the American enterprise and consumer will be A-OK. they will benefit from hyperdeflation in the cost of digital cognition just like everyone else. the hyperscalers will be fine. it's just OAI and Ant that won't be – in their current forms at least. if they are willing to adapt, they can develop new business models.
so what if the token merchants don't do well? the neoclouds will be fine. the internet companies will be fine. the consumer gets cheaper queries. the enterprise will still incorporate AI.
the only world in which this isn't fine, is if you hold a quasi-religious belief that we're on the cusp of a kind of AI rapture in which one of the labs Logs On And Wins Forever, namely hits RSI and we enter some kind of sublime post economic society run by GEOTUS Dario. so to accept that Ant's business model might be suboptimal or impaired by China's commoditization is to accept the unacceptable; namely that someone other than the anointed might kick off the runaway feedback loop and that they, instead might log on and win forever.
this appears to explain the discrepancy in reaction to Deepseek Moment v254 Kimi edition. everyone has bag bias, of course. but leaving that aside, most people think it's pretty much ok if Ant and OAI suffer margin compression due to Chinese distillation / industrial sabotage via open weight models. the American economy is not reliant on those two firms. they could blink out of existence and we would pretty much be ok. the AI capex supercycle will still produce tokens, closed weight or not. American firms will consume those tokens. OAI and Ant would probably still scratch a living, due to the latent preference of some token consumers to buy domestic and face off against a known entity.
this is only unacceptable if you think AI is strongly path dependent; that is, if it really matters who the market leader is when AI reaches a breakout level of capability. this is true both in the good case (superintelligence, singularity, etc) and the bad case (this is the essence of safetyism). but if this sounds more like wishcasting than forecasting, you probably don't mind the labs being pressured economically.
now you can clearly tell which side I'm on. I think AI is a fantastic technology which is hyperdeflating the cost of cognition and will fundamentally reshape society but there are real reasons why it wont diffuse as fast as the AGI people think it well. I would prefer an American firm achieve RSI relative to a Chinese one but I think either outcome would be suboptimal; better that we don't end up with a closed oligopoly composed of Ant/OAI. China by crushing the margins of the labs is doing everyone a favor by eliminating their pricing power and empowering the buyers of AI, namely, everyone.
objections:
-but you can't celebrate America losing to China!
- in my opinion this is a minor victory for China but not necessarily an enduring one. USA still has the chip, datacenter, and neocloud advantage, not to mention, it still has the best frontier models. Chinese labs releasing open weight models have no business model of their own. so even if they hurt the US labs, they have nothing to show for it. it's profoundly unlike their successful dumping campaigns with solar panels, batteries, drones, etc where they eventually built big domestic industries. (if China kills American AI with open weight models, we can even the score the moment they try and release a proprietary model). even if open weights win, the USA can still leverage AI extremely well and potentally retain the aggregate compute advantage. yes, the US would be more assured of victory if OAI or Ant won forever, but I don't know if I want to live in that world.
- no one will ever train a model again
- this is where I think the concern is unwarranted. let's say distillation really is a golden bullet and kills big training runs. that doesn't advantage either China or the US. that's a stalemate. not to mention, the trend seems to be less focusing less on massive pretraining budgets and more on finetuning for specific genres of tasks, thinking machines style. and lastly I find it hard to believe that training runs will stop altogether. the labs can probably develop anti-distillation techniques. you could adopt a whitelist style permission for everyone using your model. different consortia could be put together to share in the cost of training a model, if it is seen as too expensive for an individual firm.
- the AI buildout is path dependent and OAI/Ant are now load bearing GDP infrastructure
- it would be a significant setback for investors if they had to cancel their IPOs and suffered big markdowns, and some neoclouds with lab based RPOs would suffer for a while, but everyone would be fine, really. does Microsoft need OAI or Ant? does Meta? does Google? ordinary Americans have ~no exposure to either OAI or Ant. would the world want any less compute if it turns out to be another order of magnitude cheaper? certainly not. as we all know at this point, consumption would go up. I don't think the economy is so dependent on the labs that it couldn't handle their margins compressing. | Look I think I've figured this whole thing out. Follow along as I try to steelman, and tell me where I'm wrong.
OpenAI guys on the TL believe that if they can't sell metered inference tokens at a sufficient markup, then they will not have enough of a business to fund the next big training run.
They are surely correct about this.
They believe that if people release powerful open models, this will probably fatally impact their ability to sell inference tokens at enough of a markup to fund the next big training run.
They are surely correct about this, too.
They also think that if they cannot fund the next big training run (again, by selling inference tokens at a markup), then NOBODY will be able to fund the next big training run because it means there's no money in it.
This last bit seems to me & many others to be not just wrong, but totally bananas in a "guy, have seen the actual software industry and how it works in real life?!" kind of way.
There are a lot of ways to monetize software out there in the world. Insofar as inference can add new capabilities to software, there will be lots of ways to monetize it.
In other words, if you're telling me, "we can't have a business selling inference if X or Y thing keeps happening," then my only response is, "ok well that sucks for you... sounds like that's a terrible business."
But if you're telling me that "selling metered inference tokens is a terrible business" is tantamount to "nobody will fund big training runs that are upstream of more effective & economically valuable inference tokens", then I think you are extremely wrong and should get out more and learn about other parts of the software ecosystem.
Workplace automation is huge and will be even bigger in the future as models get better. You can sell workplace automation very profitably in lots of different packages (depending on the workplace and the type of automation). Like, I'm sorry that you really really want to be in the metered inference token business and not the workplace automation business, but them's the breaks. The market wants what the market wants. We all need to live in reality and not beg for Uncle Sam to save us all from open source -- because that was already tried and it didn't work.
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65·B+Long
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twitter7/21meme
quote: .@SuperRare is for shipping.
Over the last 3 months we have been heads down and shipped a ton of new features on SuperRare. We’re laser focused on building the best collecting experience on the internet powered by @ethereum
1) New homepage
It’s been way too long since the website got a refresh. We rearchitected the homepage to give collectors a better sense of what's happening in realtime, what’s trending, and what's happening on the platform today.
2) Hype machine
Sharing a art is a big part of the collecting experience. We now auto generate Instagram Story cards, X post images, and square share images. Download or copy and send it on the tl.
3) Normie onboarding
Sign in with email or social accounts and start collecting in seconds. Literally.
4) Meatspace art
Art is art. Digital or physical, it all has a special place in our lives. We now support physical works on the site and are building out a print integration to allow anyone to sell museum grade prints of their work.
5) Editions
1/1 grails are my favorite but not everyone can yolo a few racks on a single artwork. Editions give artists a way to connect with collectors at a variety of price points.
6) Charge it
Buy artwork with a credit card or Apple Pay, no need to think about crypto.
7) Live auction chat
Everyone loves a troll box. We added ephemeral chat to live auctions so artists can jump in and chat with collectors during an auction. Chat also supports slash commands for faster bidding and sharing.
8) New notification engine
Fully rearchitected notification system that updates you about new offers, bids, sales, follows, collaborations, and new work. Save the app to your homescreen for notifications on the go!
9) Collab SZN baby
Collaborations are now fully supported to allow collectors to better understand when a piece is co-created.
This isn’t even the full list but I need to get back to my agents and keep shipping.
We're building the best place on the internet to discover, collect, and experience art.
Stay $RARE. | Ethereum is for shipping.
Here are some of the things the Ethereum ecosystem launched, upgraded, and announced over the past month.
0/ @RobinhoodApp launched Robinhood Chain (@RobinhoodCrypto) on mainnet, an Ethereum Layer 2 built on the @arbitrum stack, enabling 24/7 trading of tokenized stocks and ETFs for users in over 120 countries through Robinhood Wallet. The network surpassed $1B in DEX volume in just over a week.
1/ @aztecnetwork achieved Stage 2 rollup decentralization under @l2beat's framework, removing governance control over its core protocol and taking another step toward trust-minimized infrastructure.
2/ @VitalikButerin shared updates to Ethereum's evolving technical roadmap, outlining the next phase of Lean Ethereum and the protocol's long-term direction.
3/ @ethlabs_org launched as a non-profit R&D lab for Ethereum and ETH. Their mission is to make Ethereum the settlement layer of the global economy.
4/ @ethereuminsti launched as an independent non-profit dedicated to accelerating the institutional adoption of Ethereum, its L2s, applications and overall ecosystem.
5/ @aave introduced Stable Vaults, fixed-rate stablecoin yield vaults designed for seamless integration into consumer applications.
6/ @zama launched the First DeFi Yield Venue for Confidential USDC (cUSDC) in partnership with @Morpho and @SteakhouseFi, bringing private stablecoin lending to Ethereum.
7/ @swissknifexyz launched a new Privacy Protocol Tracker, making it easier to compare fees, wait times, supported chains, and other metrics across Ethereum privacy protocols.
8/ Global tickets for @EFDevcon 8 went live, alongside speaker applications for this year’s conference in Mumbai, India.
9/ @Optimism and @toss__official signed an agreement to explore bringing the Korean Won onchain, expanding blockchain-based financial infrastructure for one of South Korea's largest fintech platforms.
10/ @OctantApp completed Epoch 12, its first full quadratic funding round using a zero-knowledge vote coprocessor and new voting application, distributing 88.1 WETH to Ethereum public goods projects.
11/ @0xprivacypools launched the trusted setup ceremony for Privacy Pools V2 ahead of its next protocol deployment.
12/ Gwei Name Service launched an ownerless, immutable Ethereum naming system built without administrative ownership.
13/ @ammalgam launched on Ethereum mainnet, introducing oracle-free lending without impermanent loss.
14/ @lodestar_eth added support for Fast Confirmations, allowing Ethereum node operators to confirm transactions in a single slot using validator attestations.
15/ @PrivacyBoost introduced preconfirmations for private transfers, allowing transfers to be treated as usable in around one second before final settlement.
16/ The @ethereumfndn published Ethereum Basics for Governments and Institutions, a new primer introducing Ethereum as a credibly neutral digital public utility for policymakers and enterprise leaders.
17/ @OndoFinance launched @OndoPerps, enabling tokenized stocks to be used as collateral for perpetual futures across equities, commodities, and indices.
18/ @base introduced Base Privacy, giving enterprises infrastructure to trade, pay, and settle onchain with built-in confidentiality and compliance features.
19/ @BGDA_UK launched BAGEY, a natively tokenized UK regulated fund on Ethereum where the blockchain serves as the legal register of record.
20/ @sparkdotfi launched the Stablecoin FX Layer on @Uniswap v4, introducing shared liquidity infrastructure that lets stablecoins access a common liquidity layer.
21/ @Trueo_ launched user-created prediction markets, allowing anyone to create a market by asking a question and letting participants trade on the outcome through a fully onchain prediction market.
22/ @kpk_io integrated @OpenCover Covered Vaults, allowing depositors to add opt-in onchain insurance to curated vaults, with coverage underwritten by @NexusMutual.
23/ @PropellerSwap launched Turbine on Ethereum mainnet, enabling large trades to settle with lower slippage by sourcing liquidity across onchain, offchain, and peer-to-peer markets.
24/ Hosted by @web3privacy, the Neocypherpunk Summit brought together around 1,000 builders and researchers in Berlin to advance privacy, open-source infrastructure, and human rights.
25/ @eth_systems launched as a company building modular privacy infrastructure for institutional Ethereum.
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quote: MONERO IS BECOMING UNSTOPPABLE, LITERALLY!
Two biggest "resilience" upgrades are about to hit the market.
1) FCMP++ privacy upgrade. This will be a massive upgrade to its privacy preserving features.
2) Monero soon to be listed on @THORChain making it impossible for someone to censor buying/selling XMR. Once on THORChain anyone, anywhere, anytime will be able to use swap btween XMR and any other cryptocurrency incl. BTC, USDT, etc.
3) This week Unstoppable wallet will be adding 2 more features specifically for Monero and with this becoming the most comprehensive Monero wallet on the market.
- Monero Accounts
- Coin Control | The Monero Research Lab has provided an update on Full-Chain Membership Proofs (FCMP++)!
'Full-Chain Membership Proofs prove the output spent is one of any output on the chain, effectively removing all of these risks. This means every input goes from an immediate anonymity set of 16 to 100,000,000.'