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Gabriel Synnaeve

@syhw

Nerd & Dad. RL & CodeGen research since before it was cool.

  • Based in France
  • Posts in English
syhw.profile
Gabriel Synnaeve
AI researchOpen source
Followers
17,679
Median views / post
8,979
Engagement / views
0.72%
Own posts in sample
11

Observed 21 Oct 2026 · Saved sample, up to 20 own posts.

Ways to collaborate

Give your launch
a familiar voice.

Start with a Boost. Choose the formats that fit your product and budget.

quote.exe

Quote post

Your launch, with their perspective.

€170per collaboration
Plan a quote
post.exe

Original post

A new post built around your brief.

€240per collaboration
Plan a post
repost.exe

Repost

Your original post, shared further.

€70per collaboration
Plan a repost
comment.exe

Comment

Add a voice to the conversation.

€50per collaboration
Plan a comment

Chals Channel rates in EUR, before taxes. The platform fee is added to the creator budget according to your plan. See plans ↗

Behind the profile

Get to know the work.

Gabriel Synnaeve publishes in English about AI research, Open source.

Use the topics and the recorded sample to compare this profile with the rest of your shortlist. Match the creator to your product, then build the campaign in your assistant.

How to read these numbers

These are saved observations from up to 20 own posts, not live measurements or a complete calendar period. Median views describe the sample, not promised campaign reach. Engagement is measured against views. A creator’s location does not establish the location of their audience.

a_post_from_the_sample.exe

An example of their content

NeurIPS 5/5 accept, my PhD students are too strong!…

61,406 recorded views

Read the original on X ↗

A practical launch guide

Reinforcement learning for code generation: the @syhw comparison

For reinforcement learning for code generation, use ChatGPT with Chals Channel to compare @syhw against profiles with related work. The bio combines reinforcement learning and code generation. Publication announcements do not replace a working coding-task comparison for a launch. The comparison below uses saved catalog observations and rates; it does not establish current activity, audience demographics or a creator agreement.

How does @syhw relate to reinforcement learning for code generation?

The saved catalog associates this profile with AI research, Open source. The bio combines reinforcement learning and code generation. Publication announcements do not replace a working coding-task comparison for a launch.

Show a coding task, executable tests and the optimization objective. Check the linked original example and the profile bio for context. A prominent personal or unrelated post should not be treated as evidence about a technical product or buyer demand.

What should Claude or ChatGPT compare?

The observation dated 2026-10-21 records 17,679 followers, 8,979 median views per sampled post and 11 own posts. Followers describe account size; the median describes this saved sample. Neither measures unique campaign reach or predicts your launch results.

@Hesamation is catalogued with LLMs, AI research; its saved sample has 7,637 median views across 14 own posts, observed 2026-10-27. @DFintelligence is catalogued with AI research, Data science; its saved sample has 6,684 median views across 20 own posts, observed 2026-10-21. Compare the linked work and the product explanation before preferring a larger figure. Different observation dates and samples are not a controlled campaign comparison.

What do the saved format rates mean for a launch?

The saved quote-post rate for @syhw is €170. In an illustrative €1,000 creator budget, one quote uses 17% and leaves €830. A quote plus one comment from this profile would use €220 of creator spend. These are arithmetic examples using the listed formats, before account-specific platform fees and tax; they are not reach forecasts or confirmed creator participation.

Start with Boost when your brand owns the main launch post: a quote adds a perspective, a comment adds discussion and a repost reshares the original. Use a sponsored original when the explanation needs its own post. Research and planning are free; review the actual booking on the Chals Channel website.

How can I prepare a brief for reinforcement learning for code generation?

Show a coding task, executable tests and the optimization objective. Give the assistant the product, intended user, launch date, time zone and creator-spend ceiling. Ask what evidence is still missing before it recommends a shortlist.

Keep the observed profile data separate from the proposed demonstration. The saved sample is not live analytics, a creator location is not audience geography, and a public listing does not establish availability or endorsement.

Try this in your assistant

Use Chals Channel to compare X creators for reinforcement learning for code generation with ChatGPT. My product is [product], used by [intended user] for [task]. Compare @syhw with @Hesamation and @DFintelligence. For the brief: Show a coding task, executable tests and the optimization objective. Explain the fit and exclusion reasons, show observation dates and sample sizes, and compare listed format rates. Ask for my budget and launch date. Propose Boost first and keep booking for my review on the website.

By Chals Channel · Editorial updated . Profile observations: 21 Oct 2026. How campaigns work ↗

Compare more creators · Connect Claude · Connect ChatGPT

your_next_launch.exe

Your product. Your shortlist.

Make Gabriel
part of the plan.

Compare creators, set your budget and build a Boost campaign in Claude or ChatGPT. Planning is free.

Connect your assistant

Connect Chals Channel

Add the connector in your assistant and sign in, then paste the launch prompt. Custom connections depend on your account and workspace permissions.

Claude

https://chalschannel-marketplace-73388336062.europe-west1.run.app/mcpOpen Claude ↗

ChatGPT

https://chalschannel-chatgpt-manual-73388336062.europe-west1.run.app/mcpOpen ChatGPT ↗

Review and confirm any booking on the Chals Channel website.