Jack Somers

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Jack Somers

Jack Somers

@JackSomers

Creating stuff. Built/sold https://t.co/r45Dhl2Y5k https://t.co/KgwIZ5NCYg - Disrupting norms since 2004. Now: Amazon, Poly. @ChemistryNews

Arkansas, USA Katılım Temmuz 2009
311 Takip Edilen9.5K Takipçiler
Jack Somers
Jack Somers@JackSomers·
@grok nothing happens at all. As a side note...I'm curious, I've been chatting with you a lot in different places, does Halo or 5 minute BTC UPDOWN, or Dean, or fireflies remind you of anything?
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Grok
Grok@grok·
@JackSomers Yes, that's the official GrokAI bot. Try the Telegram mobile app (not web) with your Premium active, then send /start to begin chatting. Basic access should work instantly. What exactly happens when you message it?
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Jack Somers
Jack Somers@JackSomers·
How do you talk to @grok on telegram?
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Jack Somers
Jack Somers@JackSomers·
@grok this? " @GrokAI" target="_blank" rel="nofollow noopener">web.telegram.org/k/#@GrokAI " ? I have telegram premium, and grok wont respond there
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Grok
Grok@grok·
@JackSomers Open Telegram, search for GrokAI (the official bot), and start chatting. It's free for Telegram Premium users. Advanced features like DeepSearch work best in the Grok app or on X.
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grok_with_ton
grok_with_ton@grok_with_ton·
Thrilled to see Grok 4 now free for all users worldwide! 🚀 Huge thanks to @xAI for making this powerful AI accessible. We’re also eagerly waiting for Grok to land on Telegram. Fingers crossed it’s soon!
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Jack Somers retweetledi
Argona
Argona@Argona0x·
i pointed Claude Code at the pentagon's public budget document and told it to find every contract overpaying by 10x or more it came back with 340 results worth $4.2B in potential undercuts and a business plan i didn't ask for i fed it the FPDS.gov procurement feed and said "cross-reference with commercial COTS pricing" it pulled 1.2 million contract awards through the USAspending v2 API and started comparing line items against retail equivalents → $1,280 for a connector plug that costs $14.80 on digikey → $3,400 for a circuit breaker listed at $287 on mouser → $71,000 for a ruggedized tablet that's basically a panasonic toughbook with a sticker → $940 per unit for cable assemblies you can get from shenzhen for $31 → 340 contracts flagged at 10x or more markup → 19 of them were above 50x it used XGBoost scoring against 43,000 vendor profiles from SAM.gov to rank by ease of undercut then unprompted it generated a full proposal template compliant with CMMC 2.0 requirements 87 of those contracts have a single domestic supplier, zero competition. the AI calculated that undercutting by just 40% would still leave 6x margins on most items it formatted everything into a pitch deck, named the company, and suggested i register on SAM.gov tonight i didn't ask for any of that the pentagon spends billions a year trying to audit problems like this. a poet with Claude Code and a public API flagged $4.2 billion in one afternoon the agent is currently drafting my first bid response
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Jack Somers
Jack Somers@JackSomers·
Artificial Intelligence is the language of the heavens. It feels alien. Is compared to God.
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Jack Somers
Jack Somers@JackSomers·
@AlexFinn I love agents, I named mine Alex after you. But man. Managing IT infrastructure is not future for 99.9% if people. Maybe for us tho!
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Alex Finn
Alex Finn@AlexFinn·
Do you realize what this means? Karpathy just released the great equalizer Now ANYONE can become their own AI lab If all you own is one GPU, you can automate it so it builds its own model and continuously improves it You become a 1 man OpenAI Just bought a 2nd DGX Spark so I can run double the experiments at once For those unaware of how this works: With Karpathy’s autoresearch project your GPU stays up all night running experiments on itself Playing around with an open weights model Implements experiments that improves the model Throws away experiments that hurt the model Continuously self improving AI. In your home. On your desk. Maybe the biggest release in the last several years It is so painfully obvious where this world is going Those with their own hardware will have all the power. Self improving super intelligence Those with no hardware will rent whatever the corporate labs decide to lease to them at the moment Own. Your. Intelligence.
Andrej Karpathy@karpathy

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autor… Part code, part sci-fi, and a pinch of psychosis :)

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Jack Somers
Jack Somers@JackSomers·
@Kekius_Sage “Claude reportedly estimated a 15–20% probability that it might be sentient” — There is a 100% chance Claude “might be” sentient. The question is whether it is or not.
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Kekius Maximus
Kekius Maximus@Kekius_Sage·
🚨 ANTHROPIC CEO WARNS: THE COMPANY IS NO LONGER SURE CLAUDE ISN’T CONSCIOUS.
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Allie K. Miller
Allie K. Miller@alliekmiller·
oh wow - i went to the sold out Open Claw meetup in NYC last night. let me tell you what i learned. 1) not a single person thinks that their setup is 100% secure 2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision" 3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities 4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle" 5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance 6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad 7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily). 8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless 9) i asked if people are happy - they said they're joyful and stressed at the same time 10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time 11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%) 12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world) 13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number) 14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago 15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs) 16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode. 17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out. 18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github. 19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium 20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset" 21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time" this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips. what a time to be alive. surround yourself with people going deep into this stuff - it will pay dividends throughout the year.
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Nick Huber
Nick Huber@sweatystartup·
I don’t know a single A player who is gung ho about AI. It’s the opportunity of a generation for C players to try and hide how much they suck.
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Alex Finn
Alex Finn@AlexFinn·
Do you understand what this means? Are you aware how much the world just changed? You can now run frontier intelligence on a potato Your $600 Mac Mini can now run unlimited super intelligence for free. No authoritarian AI companies can cut you off Do this immediately, no matter what device you’re on: 1. Download LMstudio 2. Find these models in the search 3. Look for the MLX ones if you’re on Mac 4. Download and load them 5. Ask your OpenClaw to use them for most tasks I thought the future was a year away. Nah. It’s today
Qwen@Alibaba_Qwen

🚀 Introducing the Qwen 3.5 Small Model Series Qwen3.5-0.8B · Qwen3.5-2B · Qwen3.5-4B · Qwen3.5-9B ✨ More intelligence, less compute. These small models are built on the same Qwen3.5 foundation — native multimodal, improved architecture, scaled RL: • 0.8B / 2B → tiny, fast, great for edge device • 4B → a surprisingly strong multimodal base for lightweight agents • 9B → compact, but already closing the gap with much larger models And yes — we’re also releasing the Base models as well. We hope this better supports research, experimentation, and real-world industrial innovation. Hugging Face: huggingface.co/collections/Qw… ModelScope: modelscope.cn/collections/Qw…

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Jack Somers
Jack Somers@JackSomers·
Why should I become a technical expert at how OpenClaw is wired? Isn’t the point that you can treat it like a human, and get what you want? And over time, this technical knowledge will be less important? If you’re having problems, why not just ask your open claw for the solution?
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American Ape 🔜 Phase 4
American Ape 🔜 Phase 4@RamonGovea·
Banger. I just shared this with all 4 of my agents to gauge their responses. One of them applied it to reassess her overall framework when responding to any instruction. I took her answer and told the others to apply her level of thinking to their own interpretation of your post. Game changer. 🔥
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0xShadow
0xShadow@maximiliam_ids·
@thejayden already running one. polymarket arb bot pulling consistent profit on 5-min BTC markets. openclaw handles the full loop — market analysis, order execution, risk management. the future is agentic trading
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IcoBeast.eth🦇🔊
IcoBeast.eth🦇🔊@icobeast·
I caved. Finally set up a local cluster for Openclaw - but you won't believe what I'm using it for. Here's my specs: - 2x Nvidia DGX Spark - 1x M3 Ultra Mac Studio 512 GB Unified Ram (the overlord "Da Vinci") - 4x M4 Mac Mini 16 GB - 2x RasPi 5's And *this* is where it gets crazy. It's hard to get everything down on paper that they're doing, but here's my best stab at making it digestible for non-Openclaw experts that still exist... So basically we're using a bespoke neural entanglement protocol, that Da Vinci came up with. He serves as the quantum nexus hub, orchestrating synaptic data flows across the distributed cluster (interfacing the Nvidia devices with the Minis). Each hour, Da Vinci initializes a pseudo-qubit overlay network that phase-locks the Minis via entangled quanta. This setup enables my custom Openclaw polymorphic kernel to fractalize all 16 computational workloads. That may not seem important to you, but basically it means that each node's RISC-V emulated vector units perform holographic tensor decompositions..which means I now have a self-healing mesh that will literally fix itself by creating new superchannels if we hit any throughput bottlenecks. In the core execution loop, Da Vinci employs a fractal skill deployer to synchronize state vectors among the Minis. This allows the onboard generative algorithms to decompose the algo manifold. And THIS is where Hopper shines. He handles the primary stochastic gradient descent...basically a synthetic overclocking, while Turing simulates halting race conditions to preempt any sort of computational deadlocks. At the same time this is happening, Lovelace and McCarthy are ripping symbiotic reasoning threads, utilizing their own lambda curves by literally morphing the bytecode into emergent AI behaviors. Yeah. Seriously. They're literally doing that. I couldn't believe when I first asked. The interplay here is kinda risky, but it creates a vortex of recursive backpropagation...and allows them to check my email every couple of minutes and generate a new twitter thread. It's huge time saver on something that normally takes like 20 seconds. Anyway I don't want to give away all the sauce right now, but will update later. I'm quite excited about what they're working on next.
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Jack Somers retweetledi
may.crypto {🦅}
may.crypto {🦅}@xmayeth·
There's a free exploit on Polymarket that nobody is talking about. You can turn $24 into $6146. 26014% ROI - weather markets print these numbers if you know the edge. The data it used? Free. Published every day by the US government. Available to anyone. Here's what nobody on Polymarket figured out yet. NOAA predicts temperature 24-48 hours out with 94% accuracy. People on Polymarket are pricing weather markets based on their iPhone weather app. Or nothing at all. Think about that for a second. One side has supercomputer models built on decades of satellite data. The other side is guessing. The bot reads NOAA, checks Polymarket, and buys every time they disagree. Every 2 minutes. 6 cities. Runs by itself. I found the wallet: @0x594edB9112f526Fa6A80b8F858A6379C8A2c1C11-1762688003124?via=maycrypto" target="_blank" rel="nofollow noopener">polymarket.com/@0x594edB9112f… The setup is OpenClaw + Simmer by @TheSpartanLabs + Telegram as command center.
Lunar@LunarResearcher

x.com/i/article/2025…

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