Leo Reed

Product lead who hates slow giants |AI should pay rent, not just win benchmarks
always on the move

[Leo Reed @Leoreedmax]

My daughter woke up yesterday morning and said,
“Dad, I dreamed of a town by the sea — fog, ropes, stone stairs, and people shouting by the docks.”

She described it half-awake, like remembering something she’d once seen.
So I built it for her.
AI filled in what her mind forgot.

A small European town that never existed —
quiet, foggy, tangled in morning steam.
Fishermen calling, taverns still lit from the night before,
flags swaying above the seafood stalls, light spilling through the mist.

When I showed her the video,
she whispered, “That’s it. That’s my dream.”

Maybe that’s what creation is now —
not just remembering, but reconstructing.
#AIart #Dreamscape

[Elon Musk @elonmusk]

Grok on Cloudflare

[Leo Reed @Leoreedmax]

@ego_agent The JS function execution model is the part that makes this click for me.

[Leo Reed @Leoreedmax]

honestly most AI browser tools I tried feel like demos that look good but break the moment things get real.

ego lite is interesting because it assumes agents will actually run in parallel, not one at a time.

Spaces solve that by isolating workflows so nothing collides.

and the JS based execution model is probably the real upgrade here. fewer steps, less overhead, faster runs in practice.

[ego @ego_agent]

Browsers were never built for agents.

Those Chrome-bridging solutions, windows flying everywhere, login states breaking at random. Not bugs. Just bridge limits.

Same task. 20% to 245% faster. Not magic.

ego lite is rebuilt from the kernel up.

Your AI agents, Claude Code, Codex, OpenClaw and more, inherit your login state directly, run in fully isolated spaces in the background, never touching your tabs.

What they get isn't a handful of CLI commands, but complete JS functions: complex multi-step operations, written once, executed once. Not "run two commands, stare at output, run two more" on repeat.

Your browser, Your agent. Together, for the first time.

[Leo Reed @Leoreedmax]

Scaling campaigns overseas sounds like a creative problem.

Honestly, it’s not.

The real bottleneck is localization.

As a product lead, I’ve lost too many weeks waiting for native voice actors, rebuilding region-specific edits, and manually fixing lip-sync issues that still looked slightly off in the final export.

The worst part is that every new market turns into another production branch to maintain.

That simply does not scale.

So over the last few weeks, I started testing a few different AI localization workflows with our own ecommerce video ads to see which ones could actually survive real production conditions.

@WizstarAI ended up being the one we kept coming back to.

Not because it generated the flashiest demo.
Because it was the first one that consistently held together once we pushed it into actual multi-market production.

The Video Translation workflow supports 12 major languages, which already covers most global consumer markets we care about.

But what stood out during testing was how natural the localization sounded.

Not “translated”.
Actually localized.

The tone, pacing, and delivery felt native enough that most people on our team genuinely stopped noticing it was AI-generated after a few runs.

More importantly, the video itself stays intact.

Audio and visual timing remain aligned after translation, lip-sync holds even during side angles and faster speech, and multi-character scenes stay surprisingly stable instead of collapsing into mismatched cuts.

That matters a lot more in production than benchmark style demos.

We also tested it against a few other tools internally, and Wizstar consistently handled complex scenes better, especially when multiple speakers, product close-ups, and fast pacing were involved.

The output needed significantly less cleanup before going live.

Video Reference was another reason we kept using it. Being able to reuse existing high-performing ecommerce structures instead of rebuilding creative logic market by market saves an unreasonable amount of time.

Seedance 2.0 also supports face input and multi-model orchestration, which noticeably improves character consistency and scene stability across longer sequences.

After a few projects, Wizstar quietly became part of our workflow.

We can now produce localized ecommerce creatives in minutes instead of rebuilding entire pipelines around every market.

If you want to test it yourself: https://t.co/xUuql5RnKF
New users get free credits on signup.

First subscription is $19 and includes a complimentary 30-second Ecommerce Agent workflow to test features like Product to Video.

Let the tools handle the production overhead.

The side-by-side comparison below shows one of our English masters translated into Spanish while keeping almost the exact same pacing and vibe intact.

#Wizstar #AIVideo #GrowthHacking

[Leo Reed @Leoreedmax]

The weird thing about AI Agents is that they’re autonomous, but you still have to babysit them from your laptop.

Mobile remote control fixes that.

Now the workflow follows you instead of trapping you at your desk.

[Qoder @qoder_ai_ide]

Qoder iOS: Shipped.

Your agents don't wait. Now neither do you.

Available in selected regions — more coming soon.

[Leo Reed @Leoreedmax]

A lot of companies talk about agents, but this looks like focusing on the fundamentals first so agents can actually work in real workflows.

[DeepSeek @deepseek_ai]

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.

🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice.

Try it now at https://t.co/GCdiMzk1Dl via Expert Mode / Instant Mode. API is updated & available today!

📄 Tech Report: https://t.co/drlDrxkYtp
🤗 Open Weights: https://t.co/T13Y8i7SDM

1/n

[Leo Reed @Leoreedmax]

4 days for a full 23 minute pilot… that is kind of crazy
Curious how much of the process was automated vs manually guided

[Higgsfield AI 🧩 @higgsfield]

We just made a 23-MINUTE sci-fi pilot in 4 days.

And it is 100% AI.

[Leo Reed @Leoreedmax]

Stop the monopoly of the human mind.
Closed-source tech turns your brain into a product.
Human consciousness should never belong to corporations. @oall_global
#OpenBCIOpenSTC #Oall

[Oall @oall_global]

BCIs will go mainstream in 1-3 years.
With it — a robot.
Without it — a lower being.
Even the president. No exceptions.

OPEN-SOURCE is the only way out.
Open BCI, Open STC.
Fight for open BCI.

[Leo Reed @Leoreedmax]

Batteries are quietly winning people over. They don't make noise, they don't smell, and you don't have to mess with fuel or oil. That alone makes life at home or the office a lot less stressful.
They can power lights, small gadgets, and other devices, and you can move them wherever you need. Maintenance is minimal, usually just charging and the occasional check. Over time, that convenience really
adds up.
On top of that, they're better for the environment. Less noise, no exhaust, and still reliable. Sure, generators are still needed for big jobs or long outages, but for everyday life, batteries feel like the smarter, calmer
choice.

[Anker SOLIX @AnkerSOLIX]

🎁WIN the unrevealed AnkerSOLIXE10 (worth $6,000+ )

Are Batteries Ready to Replace Generators?
The ultimate energy debate is here and we want your take!

How to enter:
① Quote this post with your thoughts
② Follow @AnkerSOLIX

Bonus: Vote on AnkerSOLIX website for extra rewards and stay tuned for something big happening on January 12!

One winner will be randomly selected & announced on Jan 12. T&C linked in comment.

[Leo Reed @Leoreedmax]

might be useful for testing ideas

[MiniMax (official) @MiniMax_AI]

Introducing M2.5, an open-source frontier model designed for real-world productivity.

- SOTA performance at coding (SWE-Bench Verified 80.2%), search (BrowseComp 76.3%), agentic tool-calling (BFCL 76.8%) & office work.

- Optimized for efficient execution, 37% faster at complex tasks.

- At $1 per hour with 100 tps, infinite scaling of long-horizon agents now economically possible

MiniMax Agent: https://t.co/aIzrFYcfUz
API: https://t.co/fHRdSV7BwZ
CodingPlan: https://t.co/FDhZBBjQrX

[Leo Reed @Leoreedmax]

What surprised me most was self evolution.

Without retraining, agents reduced memory write failures from around thirty percent to the midtwenties by refining their own memory rules through feedback.

That is why this feels less like a benchmark and more like a gym.

A place where memory policies can adapt under pressure.
Blog and paper are here if you want to look closer.
https://t.co/RDUIPdP5rk

[Leo Reed @Leoreedmax]

I have been testing long conversation assistants recently.
Not demos. Systems that stay alive across days of interaction.
The first thing that felt off was not wrong reasoning.
It was the agent slowly losing track of what it had just said.

[Leo Reed @Leoreedmax]

The long horizon results were hard to ignore.

As interactions accumulate, most models fall below half of their theoretical upper bound.

Some hold up longer.
Claude Sonnet 4 and Gemini 2.5 Flash showed the slowest decay as context stretched.

[Leo Reed @Leoreedmax]

MiniCPM-o 4.5 isn’t trying to sound smarter.
It’s trying to stay present.
And that’s usually where the next wave starts.

[Leo Reed @Leoreedmax]

I’ve been digging into MiniCPM-o 4.5, and the headline isn’t that it’s 8B — or even that it beats larger models on benchmarks.@OpenBMB

The real story is how it interacts.
https://t.co/xPCCcJv5Bn

[Leo Reed @Leoreedmax]

If you care about agents, real-time systems, or embodied interaction, this is worth paying attention to.

Not as a benchmark win.
As a signal.