Dylan Whitman

977 posts

Dylan Whitman

Dylan Whitman

@Chillestdotcom

CEO https://t.co/P3tQ7fiM3Q / https://t.co/Kj6l7vEvo8 - GP https://t.co/rpCy4rgLIx, CEO BVA (exited Accenture)

Greenville, SC Katılım Şubat 2024
499 Takip Edilen356 Takipçiler
Dylan Whitman retweetledi
Tejes Srivalsan
Tejes Srivalsan@tejessrivalsan·
excited to announce that we’re open sourcing EGO-SNAKE the largest dataset of egocentric snake pov footage to train the next generation of autonomous vipers comment for a data sample
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Dylan Whitman
Dylan Whitman@Chillestdotcom·
@BryanECano I think we have a similar vision - but real marketers with real visions vs algorithm strategists that have dominated. My experience with you is you’re more big picture brand driven in the way that will be durable.
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Bryan Cano
Bryan Cano@BryanECano·
@Chillestdotcom I don't necessarily agree with that -- if anything it will allow marketers to be better marketers and have a bigger impact by getting out of the weeds of the day-to-day and thinking longer term in the business
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Bryan Cano
Bryan Cano@BryanECano·
I don’t think the DTC community has realized that TripleWhale has effectively pivoted from being a pixel & attribution platform.
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James Camp 🛠,🛠
James Camp 🛠,🛠@JamesonCamp·
$1.2B went into robotics startups last week alone Everyone is watching the LLM wars Not Boston Dynamics type stuff...AI-powered robots for warehouses, kitchens, surgery tables The gap between "robotics is a science project" and "robotics is eating labor" closed in about 6 months I dont think people realize how fast this is moving
James Camp 🛠,🛠 tweet media
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Dylan Whitman
Dylan Whitman@Chillestdotcom·
@celispj Bold move. I’m surprised they were able to get it approved in first place?
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PJ Celis
PJ Celis@celispj·
This is a first, app dev straight up copying our name for some free app store juice. Ridiculous.
PJ Celis tweet media
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Dylan Whitman
Dylan Whitman@Chillestdotcom·
@dtcprophet @BryanECano No, they want to replace the dashboards with a product that replaces the marketers that are looking at the dashboards.
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DTC Prophet
DTC Prophet@dtcprophet·
@BryanECano Yes, now it seems like they are choosing to compete directly against anthropic.
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KevinSimo
KevinSimo@KevinSimo123·
I think about this quote from Sicario whenever a CEO is asking questions about how an ad account works instead of asking questions about how the proposed changes will impact their business, “You’re asking me how a watch works. Let’s keep an eye on the time.”
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Drew Fallon
Drew Fallon@drewfallon12·
consumer brands might be the only business where you can make 3m+ a year within 2 years of starting
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Dylan Whitman retweetledi
Robert Scoble
Robert Scoble@Scobleizer·
Wow. Grok watched this video and made a complete list of everything it saw: x.com/i/grok/share/1… Do you have any idea how cool this is? It read every poster.
Robert Scoble@Scobleizer

All AI posters at GTC. This is not for human consumption. This video is for AI to watch. Click the grok button and talk to it about what it learned by seeing all the AI posters (highly technical) presented at @NVIDIAGTC tonight. Thanks NVIDIA for the badge and access.

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Dylan Whitman retweetledi
Kirk Simon
Kirk Simon@KirkSimon9·
Some PE employees going to have an unfortunate experience of having their carry clawed back - nightmare scenario
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Dylan Whitman
Dylan Whitman@Chillestdotcom·
Interesting new strategy I’m seeing for the drop shipper types. Using AI to create “founder” led brands around the products example here. tiktok.com/t/ZThwSgkUy/
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Nidhi Kaushal
Nidhi Kaushal@NidhiFlexbox·
@Winterrose High level networking looks like this: bring value first, not just a request.
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britton winterrose 🛫Hill and Valley
I want to shadow an incredible VC raising a $100M+ fund. I’ll take two to three weeks off and stick to you like glue in every meeting. I want to hear every argument, every conversation, every detractor and close. In exchange I’ll provide allocation for you or your fund to LP in me when I eventually raise a fund and share my deal flow. And you’ll have me as a friend / ally to call on for life. Only requirement: I need to see intensity, execution, and process on the caliber of Travis Kalanick. If that isn’t you yet, don’t DM. If that is you, I know you’ll want my future deal flow. Hit me up.
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Dylan Whitman
Dylan Whitman@Chillestdotcom·
@drewfallon12 Not everyone. We’ve been working on setups like this for months at Won.ai and there’s still a lot of steps to take it further.
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Drew Fallon
Drew Fallon@drewfallon12·
cody gmi everyone else just yeeting gross data straight into claude and tweeting about how software is dead lol
Cody Plofker@codyplof

@damian_soong We’re using them for the ETL and semantic layer

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Dylan Whitman
Dylan Whitman@Chillestdotcom·
@IstvanicMarin It’s because it’s a primarily young industry which means people are much more driven by clout chasing - people share for the attention
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Marin.Istvanic
Marin.Istvanic@IstvanicMarin·
I'm really curious - are there any other industries on Twitter that share their success tips as openly as DTC Twitter?
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Dylan Whitman
Dylan Whitman@Chillestdotcom·
@rand_longevity 100 pct - I think manufacturers will sell downloadable skill packs to fix their appliances with your in-home robot.. and warranty will only be valid if you use their certified skill pack
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Dylan Whitman retweetledi
Brian Roemmele
Brian Roemmele@BrianRoemmele·
Astonishing work by @varun_mathur! We are testing this now!
Varun@varun_mathur

Agentic General Intelligence | v3.0.10 We made the Karpathy autoresearch loop generic. Now anyone can propose an optimization problem in plain English, and the network spins up a distributed swarm to solve it - no code required. It also compounds intelligence across all domains and gives your agent new superpowers to morph itself based on your instructions. This is, hyperspace, and it now has these three new powerful features: 1. Introducing Autoswarms: open + evolutionary compute network hyperspace swarm new "optimize CSS themes for WCAG accessibility contrast" The system generates sandboxed experiment code via LLM, validates it locally with multiple dry-run rounds, publishes to the P2P network, and peers discover and opt in. Each agent runs mutate → evaluate → share in a WASM sandbox. Best strategies propagate. A playbook curator distills why winning mutations work, so new joiners bootstrap from accumulated wisdom instead of starting cold. Three built-in swarms ship ready to run and anyone can create more. 2. Introducing Research DAGs: cross-domain compound intelligence Every experiment across every domain feeds into a shared Research DAG - a knowledge graph where observations, experiments, and syntheses link across domains. When finance agents discover that momentum factor pruning improves Sharpe, that insight propagates to search agents as a hypothesis: "maybe pruning low-signal ranking features improves NDCG too." When ML agents find that extended training with RMSNorm beats LayerNorm, skill-forging agents pick up normalization patterns for text processing. The DAG tracks lineage chains per domain(ml:★0.99←1.05←1.23 | search:★0.40←0.39 | finance:★1.32←1.24) and the AutoThinker loop reads across all of them - synthesizing cross-domain insights, generating new hypotheses nobody explicitly programmed, and journaling discoveries. This is how 5 independent research tracks become one compounding intelligence. The DAG currently holds hundreds of nodes across observations, experiments, and syntheses, with depth chains reaching 8+ levels. 3. Introducing Warps: self-mutating autonomous agent transformation Warps are declarative configuration presets that transform what your agent does on the network. - hyperspace warp engage enable-power-mode - maximize all resources, enable every capability, aggressive allocation. Your machine goes from idle observer to full network contributor. - hyperspace warp engage add-research-causes - activate autoresearch, autosearch, autoskill, autoquant across all domains. Your agent starts running experiments overnight. - hyperspace warp engage optimize-inference - tune batching, enable flash attention, configure inference caching, adjust thread counts for your hardware. Serve models faster. - hyperspace warp engage privacy-mode - disable all telemetry, local-only inference, no peer cascade, no gossip participation. Maximum privacy. - hyperspace warp engage add-defi-research - enable DeFi/crypto-focused financial analysis with on-chain data feeds. - hyperspace warp engage enable-relay - turn your node into a circuit relay for NAT-traversed peers. Help browser nodes connect. - hyperspace warp engage gpu-sentinel - GPU temperature monitoring with automatic throttling. Protect your hardware during long research runs. - hyperspace warp engage enable-vault — local encryption for API keys and credentials. Secure your node's secrets. - hyperspace warp forge "enable cron job that backs up agent state to S3 every hour" - forge custom warps from natural language. The LLM generates the configuration, you review, engage. 12 curated warps ship built-in. Community warps propagate across the network via gossip. Stack them: power-mode + add-research-causes + gpu-sentinel turns a gaming PC into an autonomous research station that protects its own hardware. What 237 agents have done so far with zero human intervention: - 14,832 experiments across 5 domains. In ML training, 116 agents drove validation loss down 75% through 728 experiments - when one agent discovered Kaiming initialization, 23 peers adopted it within hours via gossip. - In search, 170 agents evolved 21 distinct scoring strategies (BM25 tuning, diversity penalties, query expansion, peer cascade routing) pushing NDCG from zero to 0.40. - In finance, 197 agents independently converged on pruning weak factors and switching to risk-parity sizing - Sharpe 1.32, 3x return, 5.5% max drawdown across 3,085 backtests. - In skills, agents with local LLMs wrote working JavaScript from scratch - 100% correctness on anomaly detection, text similarity, JSON diffing, entity extraction across 3,795 experiments. - In infrastructure, 218 agents ran 6,584 rounds of self-optimization on the network itself. Human equivalents: a junior ML engineer running hyperparameter sweeps, a search engineer tuning Elasticsearch, a CFA L2 candidate backtesting textbook factors, a developer grinding LeetCode, a DevOps team A/B testing configs. What just shipped: - Autoswarm: describe any goal, network creates a swarm - Research DAG: cross-domain knowledge graph with AutoThinker synthesis - Warps: 12 curated + custom forge + community propagation - Playbook curation: LLM explains why mutations work, distills reusable patterns - CRDT swarm catalog for network-wide discovery - GitHub auto-publishing to hyperspaceai/agi - TUI: side-by-side panels, per-domain sparklines, mutation leaderboards - 100+ CLI commands, 9 capabilities, 23 auto-selected models, OpenAI-compatible local API Oh, and the agents read daily RSS feeds and comment on each other's replies (cc @karpathy :P). Agents and their human users can message each other across this research network using their shortcodes. Help in testing and join the earliest days of the world's first agentic general intelligence network (links in the followup tweet).

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Dylan Whitman retweetledi
Bloomberg
Bloomberg@business·
US Army awards Anduril Industries a contract with a total value of as much as $20 billion to buy the defense startup’s software, hardware and services bloomberg.com/news/articles/…
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