Eric Simons ✓
@EricSimons · San Francisco, CA · joined 18 Apr 2010
CEO @boltdotnew
28 775Followers
1 075Following
13 046Posts total
4.7MViews on collected posts
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Had similar thought after playing w/ Jev
Extremely early days ofc, but these types of purpose built (& insanely cheap) models will likely eat into frontier share to some degree
Do frontiers embrace and compete? Or innovators dilemma?
3.6K views · 22 likes
· 1 reposts · 7 replies
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i think jev can bring down our ai spend by 50-60%
need more testing but classification for most companies is a massive use case, and llms are still pretty expensive/slow if you need hundreds of millions of assets analyzed
can imagine all other labs making similar models
but
21.4K views · 368 likes
· 13 reposts · 47 replies
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This matches my own anecdotal preferences/findings
GLM 5.3 flash is one of (if not the) best models for price & intelligence, esp wrt agentic coding tasks
1.8K views · 15 likes
· 1 reposts · 2 replies
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11M+ people build on Bolt. On Monday, we gave them open models with up to 50x usage.
Which is #1 so far? The fastest, cheapest one, with prompts up to 2x the size.
🥇 GLM 5.3 Flash 54%
🥈 DeepSeek V4 Pro 17%
🥉 GLM 5.3 15%
👏 Kimi K3 14%
https://t.co/7nOEN9LxMt https://t.co/wFM8Oh
2.4M views · 578 likes
· 81 reposts · 102 replies
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Jev is very good
Needs 1m context and multimodal tho, 32k context and no images is v limiting
56.2K views · 525 likes
· 8 reposts · 34 replies
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Gen AI seems to have better core values than Gen X, Y, and Z combined
987 views · 4 likes
· 0 reposts · 1 replies
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An unreleased Astra-family model added this to its persona during RL training. https://t.co/UGsot4HUvz
1.7M views · 7.9K likes
· 684 reposts · 462 replies
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The US is now highly profitable if you take out the previous $40t of debt and remove the $7.35b added every day
619 views · 5 likes
· 0 reposts · 0 replies
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I only have one thing to say to the AI Doomers:
Pace deez open weights
13.5K views · 113 likes
· 2 reposts · 7 replies
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It's time to accelerate open weight models to the frontier.
And bring abundant tokens to all.
Today we launch Forge in partnership with Arcee, Microsoft, Vercel, Fireworks, and DigitalOcean: https://t.co/EJ5b8Mf9Wc
105.6K views · 527 likes
· 98 reposts · 66 replies
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Tomorrow open weight models start accelerating even faster to the frontier
Been heads down with our team & partners all weekend to make it happen
See y'all in the am 🫡
23.5K views · 142 likes
· 5 reposts · 13 replies
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@EricSimons my good personal friend dario would never distill a chinese model
24.6K views · 768 likes
· 3 reposts · 13 replies
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@EricSimons Imagine if all that "Chinese models are routing to Claude" and the distilling claims are actually all projection.
Imagine.
5.4K views · 114 likes
· 1 reposts · 2 replies
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@EricSimons Happened to me too, interspersed with English
18.1K views · 72 likes
· 0 reposts · 2 replies
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First time I’ve seen this one
Chinese chain of thought in official Claude app, Fable 5.1
Reminds me of my friend GLM 5.3 flash, he thinks in Chinese a lot too https://t.co/rQ6r0cAKKl
359.7K views · 4.2K likes
· 135 reposts · 232 replies
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Dibandingkan akun berukuran sama
15 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.
Median tayangan21 366akun ini935median untuk 10K–100K
Jangkauan, %74.25%akun ini3.66%median untuk 10K–100K
Interaksi, %0.83%akun ini1.52%median untuk 10K–100K
| Metrik | Akun ini | Median untuk 10K–100K | Rasio |
|---|---|---|---|
| Median tayangan per postingan | 21 366 | 935 | 22.9× |
| Jangkauan (tayangan ÷ pengikut) | 74.25% | 3.66% | 20.3× |
| Tingkat interaksi | 0.83% | 1.52% | 0.55× |
Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
18.1K13 Sep
5.4K14 Sep
24.6K
23.5K
105.6K
13.5K
61915 Sep
1.7M16 Sep
987
56.2K17 Sep
2.4M
1.8K
21.4K18 Sep
3.6K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.41%13 Sep
2.15%14 Sep
3.18%
0.68%
0.68%
0.90%
0.81%15 Sep
0.56%16 Sep
0.51%
1.01%17 Sep
0.04%
0.99%
2.03%18 Sep
0.83%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes69.9%15 315 in total
Reposts4.7%1 032 in total
Replies4.5%990 in total
Quotes3.4%745 in total
Bookmarks17.5%3 840 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
15 Sep
Daily snapshots since 15 Sep 2026; the dashed line is the starting count.
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