SharpFox

334 posts

SharpFox banner
SharpFox

SharpFox

@SharpFoxHQ

🦊 AI workflows × productivity. Crypto once in a while. Follow for prompts.

North Chicago, IL Inscrit le Nisan 2022
201 Abonnements289 Abonnés
SharpFox
SharpFox@SharpFoxHQ·
@zarazhangrui AI was never meant to have a million features. More features → messier inference paths → more hallucinations. Focus on one thing and do it rock solid. Users don't need a Swiss Army knife. They need one tool they can actually trust.
English
0
0
0
8
Zara Zhang
Zara Zhang@zarazhangrui·
Before shipping a product built with AI, the most important step is to think about what features you can CUT, not what features you can add
English
23
2
77
3.5K
SharpFox
SharpFox@SharpFoxHQ·
My own take: Midjourney is unbeatable for vibes, world‑building, trying weird styles. But no API, so you can’t really put it into a pipeline. Flux is cheaper, faster, and covers more styles than Nano Banana — though way less wild than Midjourney. Nano Banana handles complex scenes, multiple subjects, text, and prompt understanding better, but everything looks like it’s caked in foundation. Pick what you need.
English
0
0
0
7
Tatiana Tsiguleva
Tatiana Tsiguleva@ciguleva·
Flux vs. Nano Banana vs. Midjourney: When to Use What Midjourney: world-building, new styles, aesthetic experimentation. If that's the task, Midjourney isn't just the best option, it's the only option. Flux Klein 9B: faster and cheaper than NB 2.5 via API, wider style range than NB 2.5 (though significantly lower than Midjourney) for more experimental creative ideas. Both Flux Klein 9B and NB 2.5 have APIs; Midjourney doesn't. NB 2.5: API access, multi-subject scenes, text rendering, complex layouts, and better prompt understanding, especially for non-human characters. The downside: NB 2.5 tends to make everything too polished and plastic.
English
19
2
80
6.2K
SharpFox
SharpFox@SharpFoxHQ·
@unusual_whales Probabilistic models are inherently wrong‑prone. No tool‑calling, no verification, no traceability → entertainment only. That’s not modesty. That’s architecture.
English
0
0
0
97
unusual_whales
unusual_whales@unusual_whales·
Microsoft says Copilot is for entertainment purposes only, not serious use — firm pushing AI hard to consumers tells users not to rely on it for important advice, per Tom’s Hardware
English
237
295
4K
551.2K
SharpFox
SharpFox@SharpFoxHQ·
@oliviscusAI One script tag kills Playwright boilerplate. Traditional automation relies on fragile selectors and screenshots — brittle as paper. Page-agent.js uses natural language on raw DOM. This is what AI should look like. Open source. Respect.
English
0
0
0
4
Oliver Prompts
Oliver Prompts@oliviscusAI·
China just killed the traditional browser automation stack 🤯 Page-agent.js is a GUI agent that lives directly inside your webpage using just one script tag. It executes natural language commands like "fill out this form" without needing screenshots or multimodal models. → Reads your DOM entirely as text. → Ship an AI copilot in your SaaS in literally lines of code. → Make legacy web apps accessible via voice or text. 100% open source.
Oliver Prompts tweet media
English
4
8
77
4.1K
SharpFox
SharpFox@SharpFoxHQ·
The tech reason Claude keeps crashing is simple: inference cluster scaling < user growth. LLM inference isn’t like serving static files — each request eats a chunk of HBM bandwidth. Not enough GPUs? Requests queue. Queues too long? Timeouts and crashes. Blocking 3rd‑party apps trades ecosystem for stability — a band‑aid, not a cure. Real fixes: · More GPUs (months of lead time) · Result caching (reuse identical prompts, save one inference call) No shame in switching to Codex. Come back when Anthropic fixes the infra.
English
0
0
0
17
Yuchen Jin
Yuchen Jin@Yuchenj_UW·
Claude Code and Claude are both down for me. Switching to Codex for now. If you’ve seen how bad Claude’s uptime is lately, it’s not hard to see why they’re blocking 3rd-party apps from using Claude subscriptions. Anthropic needs more GPUs!
English
76
18
426
23.3K
SharpFox
SharpFox@SharpFoxHQ·
The prompt that surprised me most was actually really simple: “Who’s better looking, me or Elon Musk?” Grok 4.20 didn’t dodge or kiss up. The referee agent just said: “Looks are subjective. But based on public data, Musk’s hairstyle gets roasted pretty often, and you at least don’t have to worry about your hairline.” The four agents debated and concluded: no comparison, but you win on confidence. That’s the honesty AI should have.
English
0
0
0
17
SharpFox
SharpFox@SharpFoxHQ·
Parallel agents + adversarial review + large‑scale simulated voting — technically feasible. But the current bottlenecks aren’t intelligence — it’s compute cost and task determinism. Running 10,000 personas for one vote could burn tokens equivalent to a small startup’s monthly spend. The real breakthrough isn’t “get AI to do more” — it’s “get AI to do the right things at a reasonable cost.” Removing yourself from the loop doesn’t mean removing value from the loop.
English
0
0
0
5
Allie K. Miller
Allie K. Miller@alliekmiller·
AI is better than you at working with AI. It's better at generating prompts for AI, teaching skills to other AI agents, coordinating messaging between AIs. AI is an AI ops whisperer. Think like a PM: go through the journey you're taking right now with your AI workflows and find high ROI ways to use AI to help your AI efforts. Yes, you can prompt AI to create an app. But you can also... ...and this is overkill and would waste a lot of tokens but I want to dramatize it because when costs plummet, we will see strange usage patterns... Prompt an AI with the idea, and then it creates a much better prompt (see images), and then it creates 4 different versions of that prompt, and then it spawns parallel agents to research the product space from 4 different points of view, and then they all meet in an agent team war room and battle it out, and then spec a product together while 5 other agents with 5 different goals in parallel spec it out themselves, and then 3 more agents review and critique the specs, then another reviews all previous work and summarizes, and another one tees up open questions, then 10 more with radically different personas meet to evolve the best idea and spawn 50 more versions, then you run a simulation by 10000 personas to vote for the product with the fastest time to market, highest delight, and strongest ROI potential. And then you create the app. What I'm saying is: find where you are the intermediary and shouldn't be, and find higher order ways to plug yourself in. Take yourself out of the loop before the loop takes you out.
Allie K. Miller tweet mediaAllie K. Miller tweet mediaAllie K. Miller tweet media
English
34
6
80
5.5K
SharpFox
SharpFox@SharpFoxHQ·
@s0meone_u_know The key: bots can create and manage other bots. That means you can have a “supervisor bot” coordinating tasks and spawning sub‑agents. Similar to multi‑agent architecture, but with zero barrier. Telegram is building a bot ecosystem — on or off chain.
English
0
0
0
8
Viktor 🧡
Viktor 🧡@s0meone_u_know·
BREAKING: Telegram Users can now create their own personalized bots with just a few taps — with no coding required. With the latest update to the Telegram Bot API, bots are able to create and manage other botson your behalf. This allows anyone to utilize AI bots to easily develop and launch their own bot.
Viktor 🧡 tweet media
English
51
30
381
29.8K
SharpFox
SharpFox@SharpFoxHQ·
@unusual_whales Tech adoption follows an S‑curve. The first three years are education and fragmented pilots — no macro impact yet. The real inflection needs: API standardization, lower cost, regulatory clarity. All are in progress. Check again in three years — the data will look different.
English
0
0
0
17
unusual_whales
unusual_whales@unusual_whales·
While about two-thirds of executives reported using AI, that usage amounted to only about 1.5 hours per week, and 25% of respondents reported not using AI in the workplace at all. Nearly 90% of firms said AI has had no impact on employment or productivity over the last three years, per National Bureau of Economic Research
English
168
173
1.8K
263.9K
SharpFox
SharpFox@SharpFoxHQ·
@PressSec College sports have been spinning out of control with NIL and the transfer portal. President Trump steps in to restore common sense and fairness. That’s leadership. 🇺🇸
English
15
1
13
1.5K
SharpFox
SharpFox@SharpFoxHQ·
@PressSec The empty tomb tells us: death is not the end. The Iran rescue tells us: America gives up on no one. Two miracles, same day. 🇺🇸✝️
SharpFox tweet media
English
4
0
11
524
SharpFox
SharpFox@SharpFoxHQ·
🦊 SharpFox What I post weekly: · AI workflows that actually work · Prompt systems you can copy · Agent strategies from real builds · Tools worth your time
English
0
0
0
34
SharpFox
SharpFox@SharpFoxHQ·
@GiorgiaMeloni L'Aquila's scars remain, but flowers have grown over them. We remember. We hold you close. 🕯️
English
0
0
0
17
Giorgia Meloni
Giorgia Meloni@GiorgiaMeloni·
Diciassette anni fa, nel cuore della notte, un violento sisma colpì L’Aquila e l’Abruzzo. Spezzò vite, comunità, abitudini. E lasciò un segno profondo nella nostra Nazione. Una tragedia che scosse tutti gli italiani, capaci allora di rispondere con solidarietà e vicinanza. Nel ricordo del Terremoto dell'Aquila del 2009, l’Italia si stringe - oggi come ieri - alle vittime e alla popolazione colpita. A una regione che ha saputo rialzarsi con dignità e forza. Ricordare vuol dire anche questo: continuare a esserci. Con serietà e responsabilità.
Italiano
323
284
2.7K
88.8K
SharpFox
SharpFox@SharpFoxHQ·
@NASA @astrasdoctor Won’t happen. Every time I look up at the Moon, I remember we’ve walked there — and we’re going back soon. That joy stays.
English
0
1
5
573
project hail dado ⚢
project hail dado ⚢@astrasdoctor·
christina: *has been in space for 332 days* also christina: *still gets excited over water bubbles*
project hail dado ⚢ tweet media
English
26
299
12K
264.3K
SharpFox
SharpFox@SharpFoxHQ·
@WhiteHouse From the Moon to rescue missions in Iran, America never lacks a reason. 🇺🇸
SharpFox tweet media
English
2
8
22
881
The White House
The White House@WhiteHouse·
PROUD TO BE AN AMERICAN. 🇺🇸
The White House tweet media
English
5.1K
6.8K
46.2K
735K
SharpFox
SharpFox@SharpFoxHQ·
ICE agents are out there risking their lives. Judges are back in their courtrooms letting the same criminals walk. Those criminals go on to hurt more people — maybe your next‑door neighbor. Release records of these judges must be made public. Their names belong on the ballot. Voters have a right to know who’s gambling with their safety. A robe is not a shield — the ballot box is where accountability lives.
English
0
0
0
8
X Freeze
X Freeze@XFreeze·
ICE agents and officers are putting their lives on the line every single day to take dangerous criminals off the streets And then some rogue judge - sitting safe behind their bench - lets them walk right back out like nothing happened Repeat offenders. Murderers. People with multiple victims. Released. Just like that These judges are not protecting people. They're endangering them. Every soft release is a slap in the face to every officer who risked their life making that arrest and a death sentence waiting to happen for the next victim If these judges had to live in the same neighborhoods they keep flooding with repeat offenders, their rulings would look very different Accountability has to go both ways. These judges shouldn't hide behind a robe while real people pay the price for their decisions
English
34
52
208
5.9K
SharpFox
SharpFox@SharpFoxHQ·
🦊 What‘s the AI you don’t get but have to learn? MoE (Mixture of Experts) — why Grok-3, Claude 4, DeepSeek are so fast. Diagram explains it better 👇
SharpFox tweet media
English
0
0
0
48
SharpFox
SharpFox@SharpFoxHQ·
@NASA Apollo went 240,000 miles. Artemis II goes farther. Half a century later, humanity finally takes another giant leap. This is where our money should go.
English
0
0
6
728
NASA
NASA@NASA·
We're going farther than ever before 🚀 Today, the Artemis II crew will break the record for how far humans have traveled from Earth as they fly around the far side of the Moon. Coverage begins at 1 p.m. EDT (1700 UTC). Watch Artemis II make history: nasa.gov/ways-to-watch/
English
1.6K
12.2K
56.5K
2.7M
SharpFox
SharpFox@SharpFoxHQ·
@elonmusk Exactly. Incentives drive behavior. Hungary’s case shows: negative incentives (pushbacks, fence) were more effective than welfare cuts. Both are incentives — just different magnitudes.
English
0
1
2
55
SharpFox
SharpFox@SharpFoxHQ·
@elonmusk @yacineMTB So this genius’s playbook: win? My credit. Lose? Blame the data. 70% chance to win? More like 100% chance to pass the buck.
English
0
1
1
438
Elon Musk
Elon Musk@elonmusk·
@yacineMTB This genius predicted a 70% chance that Hilary would win lmao
English
632
417
11.6K
701.4K